From a7ffbbc820d6069b691cd0b190fa5843faad8ccd Mon Sep 17 00:00:00 2001 From: "github-merge-queue[bot]" Date: Wed, 31 Jan 2024 18:01:28 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20Bears-R-?= =?UTF-8?q?Us/arkouda@d682e557191b220141d581c047c70256eddfe216=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- _sources/autoapi/arkouda/index.rst.txt | 2056 ++--------- autoapi/arkouda/categorical/index.html | 10 +- autoapi/arkouda/client_dtypes/index.html | 2 +- autoapi/arkouda/dataframe/index.html | 4 +- autoapi/arkouda/groupbyclass/index.html | 14 +- autoapi/arkouda/index.html | 3732 ++++---------------- autoapi/arkouda/index/index.html | 2 +- autoapi/arkouda/io/index.html | 4 +- autoapi/arkouda/numeric/index.html | 8 +- autoapi/arkouda/pdarraycreation/index.html | 10 +- autoapi/arkouda/pdarraysetops/index.html | 20 +- autoapi/arkouda/segarray/index.html | 2 +- autoapi/arkouda/series/index.html | 10 +- autoapi/arkouda/sorting/index.html | 4 +- file_io/CSV.html | 2 +- file_io/HDF5.html | 4 +- file_io/PARQUET.html | 4 +- genindex.html | 288 +- objects.inv | Bin 12889 -> 12903 bytes searchindex.js | 2 +- usage/IO.html | 4 +- usage/argsort.html | 8 +- usage/arithmetic.html | 4 +- usage/categorical.html | 6 +- usage/creation.html | 4 +- usage/dataframe.html | 4 +- usage/groupby.html | 18 +- usage/pdarray.html | 2 +- usage/series.html | 2 +- usage/setops.html | 14 +- usage/strings.html | 16 +- 31 files changed, 1260 insertions(+), 5000 deletions(-) diff --git a/_sources/autoapi/arkouda/index.rst.txt b/_sources/autoapi/arkouda/index.rst.txt index b51457010f..bc78a272a9 100644 --- a/_sources/autoapi/arkouda/index.rst.txt +++ b/_sources/autoapi/arkouda/index.rst.txt @@ -93,12 +93,6 @@ Classes arkouda.Datetime arkouda.Timedelta arkouda.GroupBy - arkouda.Strings - arkouda.Datetime - arkouda.CachedAccessor - arkouda.Properties - arkouda.DatetimeAccessor - arkouda.StringAccessor @@ -271,6 +265,9 @@ Functions arkouda.argsort arkouda.in1d arkouda.coargsort + arkouda.convert_if_categorical + arkouda.generic_concat + arkouda.get_callback arkouda.broadcast arkouda.unique arkouda.where @@ -301,8 +298,6 @@ Functions arkouda.isnan arkouda.plot_dist arkouda.hist_all - arkouda.string_operators - arkouda.date_operators arkouda.get_filetype arkouda.ls arkouda.ls_csv @@ -327,6 +322,13 @@ Functions arkouda.restore arkouda.receive arkouda.receive_dataframe + arkouda.attach + arkouda.unregister + arkouda.attach_all + arkouda.unregister_all + arkouda.register_all + arkouda.is_registered + arkouda.broadcast_dims @@ -19781,6 +19783,17 @@ Attributes array([0, 1, 0, 1]) +.. py:function:: convert_if_categorical(values) + + Convert a Categorical array to Strings for display + + +.. py:function:: generic_concat(items, ordered=True) + + +.. py:function:: get_callback(x) + + .. py:class:: Index(values: Union[List, arkouda.pdarrayclass.pdarray, arkouda.Strings, arkouda.Categorical, pandas.Index, Index], name: Optional[str] = None) @@ -27024,1872 +27037,224 @@ Attributes >>> hist_all(ak_df) -.. py:class:: Strings(strings_pdarray: arkouda.pdarrayclass.pdarray, bytes_size: arkouda.dtypes.int_scalars) - - - Represents an array of strings whose data resides on the - arkouda server. The user should not call this class directly; - rather its instances are created by other arkouda functions. +.. py:function:: get_filetype(filenames: Union[str, List[str]]) -> str - .. attribute:: entry + Get the type of a file accessible to the server. Supported + file types and possible return strings are 'HDF5' and 'Parquet'. - Encapsulation of a Segmented Strings array contained on - the arkouda server. This is a composite of - - offsets array: starting indices for each string - - bytes array: raw bytes of all strings joined by nulls + :param filenames: A file or list of files visible to the arkouda server + :type filenames: Union[str, List[str]] - :type: pdarray + :returns: Type of the file returned as a string, either 'HDF5', 'Parquet' or 'CSV + :rtype: str - .. attribute:: size + :raises ValueError: Raised if filename is empty or contains only whitespace - The number of strings in the array + .. rubric:: Notes - :type: int_scalars + - When list provided, it is assumed that all files are the same type + - CSV Files without the Arkouda Header are not supported - .. attribute:: nbytes + .. seealso:: :obj:`read_parquet`, :obj:`read_hdf` - The total number of bytes in all strings - :type: int_scalars +.. py:function:: ls(filename: str, col_delim: str = ',', read_nested: bool = True) -> List[str] - .. attribute:: ndim + This function calls the h5ls utility on a HDF5 file visible to the + arkouda server or calls a function that imitates the result of h5ls + on a Parquet file. - The rank of the array (currently only rank 1 arrays supported) + :param filename: The name of the file to pass to the server + :type filename: str + :param col_delim: The delimiter used to separate columns if the file is a csv + :type col_delim: str + :param read_nested: Default True, when True, SegArray objects will be read from the file. When False, + SegArray (or other nested Parquet columns) will be ignored. + Only used for Parquet files. + :type read_nested: bool - :type: int_scalars + :returns: The string output of the datasets from the server + :rtype: str - .. attribute:: shape + :raises TypeError: Raised if filename is not a str + :raises ValueError: Raised if filename is empty or contains only whitespace + :raises RuntimeError: Raised if error occurs in executing ls on an HDF5 file + :raises Notes: - This will need to be updated because Parquet will not technically support this when we update. + Similar functionality will be added for Parquet in the future + - For CSV files without headers, please use ls_csv - The sizes of each dimension of the array + .. seealso:: :obj:`ls_csv` - :type: tuple - .. attribute:: dtype +.. py:function:: ls_csv(filename: str, col_delim: str = ',') -> List[str] - The dtype is ak.str + Used for identifying the datasets within a file when a CSV does not + have a header. - :type: dtype + :param filename: The name of the file to pass to the server + :type filename: str + :param col_delim: The delimiter used to separate columns if the file is a csv + :type col_delim: str - .. attribute:: logger + :returns: The string output of the datasets from the server + :rtype: str - Used for all logging operations + .. seealso:: :obj:`ls` - :type: ArkoudaLogger - .. rubric:: Notes +.. py:function:: get_null_indices(filenames: Union[str, List[str]], datasets: Optional[Union[str, List[str]]] = None) -> Union[arkouda.pdarrayclass.pdarray, Mapping[str, arkouda.pdarrayclass.pdarray]] - Strings is composed of two pdarrays: (1) offsets, which contains the - starting indices for each string and (2) bytes, which contains the - raw bytes of all strings, delimited by nulls. + Get null indices of a string column in a Parquet file. - .. py:attribute:: BinOps + :param filenames: Either a list of filenames or shell expression + :type filenames: list or str + :param datasets: (List of) name(s) of dataset(s) to read. Each dataset must be a string + column. There is no default value for this function, the datasets to be + read must be specified. + :type datasets: list or str or None - + :returns: * *For a single dataset returns an Arkouda pdarray and for multiple datasets* + * *returns a dictionary of Arkouda pdarrays* -- Dictionary of {datasetName: pdarray} - .. py:attribute:: objType - :value: 'Strings' + :raises RuntimeError: Raised if one or more of the specified files cannot be opened. + :raises TypeError: Raised if we receive an unknown arkouda_type returned from the server - + .. seealso:: :obj:`get_datasets`, :obj:`ls` - .. py:method:: from_return_msg(rep_msg: str) -> Strings - :staticmethod: - Factory method for creating a Strings object from an Arkouda server - response message +.. py:function:: get_datasets(filenames: Union[str, List[str]], allow_errors: bool = False, column_delim: str = ',', read_nested: bool = True) -> List[str] - :param rep_msg: Server response message currently of form - `created name type size ndim shape itemsize+created bytes.size 1234` - :type rep_msg: str + Get the names of the datasets in the provide files - :returns: object representing a segmented strings array on the server - :rtype: Strings + :param filenames: Name of the file/s from which to return datasets + :type filenames: str or List[str] + :param allow_errors: Default: False + Whether or not to allow errors while accessing datasets + :type allow_errors: bool + :param column_delim: Column delimiter to be used if dataset is CSV. Otherwise, unused. + :type column_delim: str + :param read_nested: Default True, when True, SegArray objects will be read from the file. When False, + SegArray (or other nested Parquet columns) will be ignored. + Only used for Parquet Files. + :type read_nested: bool - :raises RuntimeError: Raised if there's an error converting a server-returned str-descriptor + :rtype: List[str] of names of the datasets - .. rubric:: Notes + :raises RuntimeError: - If no datasets are returned - We really don't have an itemsize because these are variable length strings. - In the future we could probably use this position to store the total bytes. + .. rubric:: Notes + - This function currently supports HDF5 and Parquet formats. + - Future updates to Parquet will deprecate this functionality on that format, + but similar support will be added for Parquet at that time. + - If a list of files is provided, only the datasets in the first file will be returned - .. py:method:: from_parts(offset_attrib: Union[arkouda.pdarrayclass.pdarray, str], bytes_attrib: Union[arkouda.pdarrayclass.pdarray, str]) -> Strings - :staticmethod: + .. seealso:: :obj:`ls` - Factory method for creating a Strings object from an Arkouda server - response where the arrays are separate components. - :param offset_attrib: the array containing the offsets - :type offset_attrib: Union[pdarray, str] - :param bytes_attrib: the array containing the string values - :type bytes_attrib: Union[pdarray, str] +.. py:function:: get_columns(filenames: Union[str, List[str]], col_delim: str = ',', allow_errors: bool = False) -> List[str] - :returns: object representing a segmented strings array on the server - :rtype: Strings + Get a list of column names from CSV file(s). - :raises RuntimeError: Raised if there's an error converting a server-returned str-descriptor - .. rubric:: Notes +.. py:function:: read_hdf(filenames: Union[str, List[str]], datasets: Optional[Union[str, List[str]]] = None, iterative: bool = False, strict_types: bool = True, allow_errors: bool = False, calc_string_offsets: bool = False, tag_data=False) -> Union[arkouda.pdarrayclass.pdarray, arkouda.strings.Strings, arkouda.segarray.SegArray, arkouda.array_view.ArrayView, arkouda.categorical.Categorical, arkouda.dataframe.DataFrame, arkouda.client_dtypes.IPv4, arkouda.timeclass.Datetime, arkouda.timeclass.Timedelta, arkouda.index.Index, Mapping[str, Union[arkouda.pdarrayclass.pdarray, arkouda.strings.Strings, arkouda.segarray.SegArray, arkouda.array_view.ArrayView, arkouda.categorical.Categorical, arkouda.dataframe.DataFrame, arkouda.client_dtypes.IPv4, arkouda.timeclass.Datetime, arkouda.timeclass.Timedelta, arkouda.index.Index]]] - This factory method is used when we construct the parts of a Strings - object on the client side and transfer the offsets & bytes separately - to the server. This results in two entries in the symbol table and we - need to instruct the server to assemble the into a composite entity. + Read Arkouda objects from HDF5 file/s + :param filenames: Filename/s to read objects from + :type filenames: str, List[str] + :param datasets: datasets to read from the provided files + :type datasets: Optional str, List[str] + :param iterative: Iterative (True) or Single (False) function call(s) to server + :type iterative: bool + :param strict_types: If True (default), require all dtypes of a given dataset to have the + same precision and sign. If False, allow dtypes of different + precision and sign across different files. For example, if one + file contains a uint32 dataset and another contains an int64 + dataset with the same name, the contents of both will be read + into an int64 pdarray. + :type strict_types: bool + :param allow_errors: Default False, if True will allow files with read errors to be skipped + instead of failing. A warning will be included in the return containing + the total number of files skipped due to failure and up to 10 filenames. + :type allow_errors: bool + :param calc_string_offsets: Default False, if True this will tell the server to calculate the + offsets/segments array on the server versus loading them from HDF5 files. + In the future this option may be set to True as the default. + :type calc_string_offsets: bool + :param tagData: Default False, if True tag the data with the code associated with the filename + that the data was pulled from. + :type tagData: bool - .. py:method:: get_lengths() -> arkouda.pdarrayclass.pdarray + :returns: * *For a single dataset returns an Arkouda pdarray, Arkouda Strings, Arkouda Segarrays,* + * *or Arkouda ArrayViews. For multiple datasets returns a dictionary of Arkouda pdarrays,* + * *Arkouda Strings, Arkouda Segarrays, or Arkouda ArrayViews.* -- Dictionary of {datasetName: pdarray, String, SegArray, or ArrayView} - Return the length of each string in the array. + :raises ValueError: Raised if all datasets are not present in all hdf5 files or if one or + more of the specified files do not exist + :raises RuntimeError: Raised if one or more of the specified files cannot be opened. + If `allow_errors` is true this may be raised if no values are returned + from the server. + :raises TypeError: Raised if we receive an unknown arkouda_type returned from the server - :returns: The length of each string - :rtype: pdarray, int + .. rubric:: Notes - :raises RuntimeError: Raised if there is a server-side error thrown + If filenames is a string, it is interpreted as a shell expression + (a single filename is a valid expression, so it will work) and is + expanded with glob to read all matching files. + If iterative == True each dataset name and file names are passed to + the server as independent sequential strings while if iterative == False + all dataset names and file names are passed to the server in a single + string. - .. py:method:: get_bytes() + If datasets is None, infer the names of datasets from the first file + and read all of them. Use ``get_datasets`` to show the names of datasets + to HDF5 files. - Getter for the bytes component (uint8 pdarray) of this Strings. + .. seealso:: :obj:`read_tagged_data` - :returns: Pdarray of bytes of the string accessed - :rtype: pdarray, uint8 + .. rubric:: Examples - .. rubric:: Example + >>> + # Read with file Extension + >>> x = ak.read_hdf('path/name_prefix.h5') # load HDF5 + # Read Glob Expression + >>> x = ak.read_hdf('path/name_prefix*') # Reads HDF5 - >>> x = ak.array(['one', 'two', 'three']) - >>> x.get_bytes() - [111 110 101 0 116 119 111 0 116 104 114 101 101 0] +.. py:function:: read_parquet(filenames: Union[str, List[str]], datasets: Optional[Union[str, List[str]]] = None, iterative: bool = False, strict_types: bool = True, allow_errors: bool = False, tag_data: bool = False, read_nested: bool = True) -> Union[arkouda.pdarrayclass.pdarray, arkouda.strings.Strings, arkouda.segarray.SegArray, arkouda.array_view.ArrayView, arkouda.categorical.Categorical, arkouda.dataframe.DataFrame, arkouda.client_dtypes.IPv4, arkouda.timeclass.Datetime, arkouda.timeclass.Timedelta, arkouda.index.Index, Mapping[str, Union[arkouda.pdarrayclass.pdarray, arkouda.strings.Strings, arkouda.segarray.SegArray, arkouda.array_view.ArrayView, arkouda.categorical.Categorical, arkouda.dataframe.DataFrame, arkouda.client_dtypes.IPv4, arkouda.timeclass.Datetime, arkouda.timeclass.Timedelta, arkouda.index.Index]]] - .. py:method:: get_offsets() + Read Arkouda objects from Parquet file/s - Getter for the offsets component (int64 pdarray) of this Strings. + :param filenames: Filename/s to read objects from + :type filenames: str, List[str] + :param datasets: datasets to read from the provided files + :type datasets: Optional str, List[str] + :param iterative: Iterative (True) or Single (False) function call(s) to server + :type iterative: bool + :param strict_types: If True (default), require all dtypes of a given dataset to have the + same precision and sign. If False, allow dtypes of different + precision and sign across different files. For example, if one + file contains a uint32 dataset and another contains an int64 + dataset with the same name, the contents of both will be read + into an int64 pdarray. + :type strict_types: bool + :param allow_errors: Default False, if True will allow files with read errors to be skipped + instead of failing. A warning will be included in the return containing + the total number of files skipped due to failure and up to 10 filenames. + :type allow_errors: bool + :param tagData: Default False, if True tag the data with the code associated with the filename + that the data was pulled from. + :type tagData: bool + :param read_nested: Default True, when True, SegArray objects will be read from the file. When False, + SegArray (or other nested Parquet columns) will be ignored. + If datasets is not None, this will be ignored. + :type read_nested: bool - :returns: Pdarray of offsets of the string accessed - :rtype: pdarray, int64 - - .. rubric:: Example - - >>> x = ak.array(['one', 'two', 'three']) - >>> x.get_offsets() - [0 4 8] - - - .. py:method:: encode(toEncoding: str, fromEncoding: str = 'UTF-8') - - Return a new strings object in `toEncoding`, expecting that the - current Strings is encoded in `fromEncoding` - - :param toEncoding: The encoding that the strings will be converted to - :type toEncoding: str - :param fromEncoding: The current encoding of the strings object, default to - UTF-8 - :type fromEncoding: str - - :returns: A new Strings object in `toEncoding` - :rtype: Strings - - :raises RuntimeError: Raised if there is a server-side error thrown - - - .. py:method:: decode(fromEncoding, toEncoding='UTF-8') - - Return a new strings object in `fromEncoding`, expecting that the - current Strings is encoded in `toEncoding` - - :param fromEncoding: The current encoding of the strings object - :type fromEncoding: str - :param toEncoding: The encoding that the strings will be converted to, - default to UTF-8 - :type toEncoding: str - - :returns: A new Strings object in `toEncoding` - :rtype: Strings - - :raises RuntimeError: Raised if there is a server-side error thrown - - - .. py:method:: lower() -> Strings - - Returns a new Strings with all uppercase characters from the original replaced with - their lowercase equivalent - - :returns: Strings with all uppercase characters from the original replaced with - their lowercase equivalent - :rtype: Strings - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.upper` - - .. rubric:: Examples - - >>> strings = ak.array([f'StrINgS {i}' for i in range(5)]) - >>> strings - array(['StrINgS 0', 'StrINgS 1', 'StrINgS 2', 'StrINgS 3', 'StrINgS 4']) - >>> strings.lower() - array(['strings 0', 'strings 1', 'strings 2', 'strings 3', 'strings 4']) - - - .. py:method:: upper() -> Strings - - Returns a new Strings with all lowercase characters from the original replaced with - their uppercase equivalent - - :returns: Strings with all lowercase characters from the original replaced with - their uppercase equivalent - :rtype: Strings - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.lower` - - .. rubric:: Examples - - >>> strings = ak.array([f'StrINgS {i}' for i in range(5)]) - >>> strings - array(['StrINgS 0', 'StrINgS 1', 'StrINgS 2', 'StrINgS 3', 'StrINgS 4']) - >>> strings.upper() - array(['STRINGS 0', 'STRINGS 1', 'STRINGS 2', 'STRINGS 3', 'STRINGS 4']) - - - .. py:method:: title() -> Strings - - Returns a new Strings from the original replaced with their titlecase equivalent - - :returns: Strings from the original replaced with their titlecase equivalent - :rtype: Strings - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.lower`, :obj:`String.upper` - - .. rubric:: Examples - - >>> strings = ak.array([f'StrINgS {i}' for i in range(5)]) - >>> strings - array(['StrINgS 0', 'StrINgS 1', 'StrINgS 2', 'StrINgS 3', 'StrINgS 4']) - >>> strings.title() - array(['Strings 0', 'Strings 1', 'Strings 2', 'Strings 3', 'Strings 4']) - - - .. py:method:: islower() -> arkouda.pdarrayclass.pdarray - - Returns a boolean pdarray where index i indicates whether string i of the - Strings is entirely lowercase - - :returns: True for elements that are entirely lowercase, False otherwise - :rtype: pdarray, bool - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.isupper` - - .. rubric:: Examples - - >>> lower = ak.array([f'strings {i}' for i in range(3)]) - >>> upper = ak.array([f'STRINGS {i}' for i in range(3)]) - >>> strings = ak.concatenate([lower, upper]) - >>> strings - array(['strings 0', 'strings 1', 'strings 2', 'STRINGS 0', 'STRINGS 1', 'STRINGS 2']) - >>> strings.islower() - array([True True True False False False]) - - - .. py:method:: isupper() -> arkouda.pdarrayclass.pdarray - - Returns a boolean pdarray where index i indicates whether string i of the - Strings is entirely uppercase - - :returns: True for elements that are entirely uppercase, False otherwise - :rtype: pdarray, bool - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.islower` - - .. rubric:: Examples - - >>> lower = ak.array([f'strings {i}' for i in range(3)]) - >>> upper = ak.array([f'STRINGS {i}' for i in range(3)]) - >>> strings = ak.concatenate([lower, upper]) - >>> strings - array(['strings 0', 'strings 1', 'strings 2', 'STRINGS 0', 'STRINGS 1', 'STRINGS 2']) - >>> strings.isupper() - array([False False False True True True]) - - - .. py:method:: istitle() -> arkouda.pdarrayclass.pdarray - - Returns a boolean pdarray where index i indicates whether string i of the - Strings is titlecase - - :returns: True for elements that are titlecase, False otherwise - :rtype: pdarray, bool - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.islower`, :obj:`Strings.isupper` - - .. rubric:: Examples - - >>> mixed = ak.array([f'sTrINgs {i}' for i in range(3)]) - >>> title = ak.array([f'Strings {i}' for i in range(3)]) - >>> strings = ak.concatenate([mixed, title]) - >>> strings - array(['sTrINgs 0', 'sTrINgs 1', 'sTrINgs 2', 'Strings 0', 'Strings 1', 'Strings 2']) - >>> strings.istitle() - array([False False False True True True]) - - - .. py:method:: isalnum() -> arkouda.pdarrayclass.pdarray - - Returns a boolean pdarray where index i indicates whether string i of the - Strings is alphanumeric. - - :returns: True for elements that are alphanumeric, False otherwise - :rtype: pdarray, bool - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.islower`, :obj:`Strings.isupper`, :obj:`Strings.istitle` - - .. rubric:: Examples - - >>> not_alnum = ak.array([f'%Strings {i}' for i in range(3)]) - >>> alnum = ak.array([f'Strings{i}' for i in range(3)]) - >>> strings = ak.concatenate([not_alnum, alnum]) - >>> strings - array(['%Strings 0', '%Strings 1', '%Strings 2', 'Strings0', 'Strings1', 'Strings2']) - >>> strings.isalnum() - array([False False False True True True]) - - - .. py:method:: isalpha() -> arkouda.pdarrayclass.pdarray - - Returns a boolean pdarray where index i indicates whether string i of the - Strings is alphabetic. This means there is at least one character, - and all the characters are alphabetic. - - :returns: True for elements that are alphabetic, False otherwise - :rtype: pdarray, bool - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.islower`, :obj:`Strings.isupper`, :obj:`Strings.istitle`, :obj:`Strings.isalnum` - - .. rubric:: Examples - - >>> not_alpha = ak.array([f'%Strings {i}' for i in range(3)]) - >>> alpha = ak.array(['StringA','StringB','StringC']) - >>> strings = ak.concatenate([not_alpha, alpha]) - >>> strings - array(['%Strings 0', '%Strings 1', '%Strings 2', 'StringA','StringB','StringC']) - >>> strings.isalpha() - array([False False False True True True]) - - - .. py:method:: isdigit() -> arkouda.pdarrayclass.pdarray - - Returns a boolean pdarray where index i indicates whether string i of the - Strings has all digit characters. - - :returns: True for elements that are digits, False otherwise - :rtype: pdarray, bool - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.islower`, :obj:`Strings.isupper`, :obj:`Strings.istitle` - - .. rubric:: Examples - - >>> not_digit = ak.array([f'Strings {i}' for i in range(3)]) - >>> digit = ak.array([f'12{i}' for i in range(3)]) - >>> strings = ak.concatenate([not_digit, digit]) - >>> strings - array(['Strings 0', 'Strings 1', 'Strings 2', '120', '121', '122']) - >>> strings.isdigit() - array([False False False True True True]) - - - .. py:method:: strip(chars: Optional[Union[bytes, arkouda.dtypes.str_scalars]] = '') -> Strings - - Returns a new Strings object with all leading and trailing occurrences of characters contained - in chars removed. The chars argument is a string specifying the set of characters to be removed. - If omitted, the chars argument defaults to removing whitespace. The chars argument is not a - prefix or suffix; rather, all combinations of its values are stripped. - - :param chars: the set of characters to be removed - - :returns: Strings object with the leading and trailing characters matching the set of characters in - the chars argument removed - :rtype: Strings - - :raises RuntimeError: Raised if there is a server-side error thrown - - .. rubric:: Examples - - >>> strings = ak.array(['Strings ', ' StringS ', 'StringS ']) - >>> s = strings.strip() - >>> s - array(['Strings', 'StringS', 'StringS']) - - >>> strings = ak.array(['Strings 1', '1 StringS ', ' 1StringS 12 ']) - >>> s = strings.strip(' 12') - >>> s - array(['Strings', 'StringS', 'StringS']) - - - .. py:method:: cached_regex_patterns() -> List - - Returns the regex patterns for which Match objects have been cached - - - .. py:method:: purge_cached_regex_patterns() -> None - - purges cached regex patterns - - - .. py:method:: find_locations(pattern: Union[bytes, arkouda.dtypes.str_scalars]) -> Tuple[arkouda.pdarrayclass.pdarray, arkouda.pdarrayclass.pdarray, arkouda.pdarrayclass.pdarray] - - Finds pattern matches and returns pdarrays containing the number, start postitions, - and lengths of matches - - :param pattern: The regex pattern used to find matches - :type pattern: str_scalars - - :returns: * *pdarray, int64* -- For each original string, the number of pattern matches - * *pdarray, int64* -- The start positons of pattern matches - * *pdarray, int64* -- The lengths of pattern matches - - :raises TypeError: Raised if the pattern parameter is not bytes or str_scalars - :raises ValueError: Raised if pattern is not a valid regex - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.findall`, :obj:`Strings.match` - - .. rubric:: Examples - - >>> strings = ak.array([f'{i} string {i}' for i in range(1, 6)]) - >>> num_matches, starts, lens = strings.find_locations('\d') - >>> num_matches - array([2, 2, 2, 2, 2]) - >>> starts - array([0, 9, 0, 9, 0, 9, 0, 9, 0, 9]) - >>> lens - array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])) - - - .. py:method:: search(pattern: Union[bytes, arkouda.dtypes.str_scalars]) -> arkouda.match.Match - - Returns a match object with the first location in each element where pattern produces a match. - Elements match if any part of the string matches the regular expression pattern - - :param pattern: Regex used to find matches - :type pattern: str - - :returns: Match object where elements match if any part of the string matches the - regular expression pattern - :rtype: Match - - .. rubric:: Examples - - >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', '']) - >>> strings.search('_+') - - - - .. py:method:: match(pattern: Union[bytes, arkouda.dtypes.str_scalars]) -> arkouda.match.Match - - Returns a match object where elements match only if the beginning of the string matches the - regular expression pattern - - :param pattern: Regex used to find matches - :type pattern: str - - :returns: Match object where elements match only if the beginning of the string matches the - regular expression pattern - :rtype: Match - - .. rubric:: Examples - - >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', '']) - >>> strings.match('_+') - - - - .. py:method:: fullmatch(pattern: Union[bytes, arkouda.dtypes.str_scalars]) -> arkouda.match.Match - - Returns a match object where elements match only if the whole string matches the - regular expression pattern - - :param pattern: Regex used to find matches - :type pattern: str - - :returns: Match object where elements match only if the whole string matches the - regular expression pattern - :rtype: Match - - .. rubric:: Examples - - >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', '']) - >>> strings.fullmatch('_+') - - - - .. py:method:: split(pattern: Union[bytes, arkouda.dtypes.str_scalars], maxsplit: int = 0, return_segments: bool = False) -> Union[Strings, Tuple] - - Returns a new Strings split by the occurrences of pattern. - If maxsplit is nonzero, at most maxsplit splits occur - - :param pattern: Regex used to split strings into substrings - :type pattern: str - :param maxsplit: The max number of pattern match occurences in each element to split. - The default maxsplit=0 splits on all occurences - :type maxsplit: int - :param return_segments: If True, return mapping of original strings to first substring - in return array. - :type return_segments: bool - - :returns: * *Strings* -- Substrings with pattern matches removed - * *pdarray, int64 (optional)* -- For each original string, the index of first corresponding substring - in the return array - - .. rubric:: Examples - - >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', '']) - >>> strings.split('_+', maxsplit=2, return_segments=True) - (array(['1', '2', '', '', '', '3', '', '4', '5____6___7', '']), array([0 3 5 6 9])) - - - .. py:method:: findall(pattern: Union[bytes, arkouda.dtypes.str_scalars], return_match_origins: bool = False) -> Union[Strings, Tuple] - - Return a new Strings containg all non-overlapping matches of pattern - - :param pattern: Regex used to find matches - :type pattern: str_scalars - :param return_match_origins: If True, return a pdarray containing the index of the original string each - pattern match is from - :type return_match_origins: bool - - :returns: * *Strings* -- Strings object containing only pattern matches - * *pdarray, int64 (optional)* -- The index of the original string each pattern match is from - - :raises TypeError: Raised if the pattern parameter is not bytes or str_scalars - :raises ValueError: Raised if pattern is not a valid regex - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.find_locations` - - .. rubric:: Examples - - >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', '']) - >>> strings.findall('_+', return_match_origins=True) - (array(['_', '___', '____', '__', '___', '____', '___']), array([0 0 1 3 3 3 3])) - - - .. py:method:: sub(pattern: Union[bytes, arkouda.dtypes.str_scalars], repl: Union[bytes, arkouda.dtypes.str_scalars], count: int = 0) -> Strings - - Return new Strings obtained by replacing non-overlapping occurrences of pattern with the - replacement repl. - If count is nonzero, at most count substitutions occur - - :param pattern: The regex to substitue - :type pattern: str_scalars - :param repl: The substring to replace pattern matches with - :type repl: str_scalars - :param count: The max number of pattern match occurences in each element to replace. - The default count=0 replaces all occurences of pattern with repl - :type count: int - - :returns: Strings with pattern matches replaced - :rtype: Strings - - :raises TypeError: Raised if pattern or repl are not bytes or str_scalars - :raises ValueError: Raised if pattern is not a valid regex - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.subn` - - .. rubric:: Examples - - >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', '']) - >>> strings.sub(pattern='_+', repl='-', count=2) - array(['1-2-', '-', '3', '-4-5____6___7', '']) - - - .. py:method:: subn(pattern: Union[bytes, arkouda.dtypes.str_scalars], repl: Union[bytes, arkouda.dtypes.str_scalars], count: int = 0) -> Tuple - - Perform the same operation as sub(), but return a tuple (new_Strings, number_of_substitions) - - :param pattern: The regex to substitue - :type pattern: str_scalars - :param repl: The substring to replace pattern matches with - :type repl: str_scalars - :param count: The max number of pattern match occurences in each element to replace. - The default count=0 replaces all occurences of pattern with repl - :type count: int - - :returns: * *Strings* -- Strings with pattern matches replaced - * *pdarray, int64* -- The number of substitutions made for each element of Strings - - :raises TypeError: Raised if pattern or repl are not bytes or str_scalars - :raises ValueError: Raised if pattern is not a valid regex - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.sub` - - .. rubric:: Examples - - >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', '']) - >>> strings.subn(pattern='_+', repl='-', count=2) - (array(['1-2-', '-', '3', '-4-5____6___7', '']), array([2 1 0 2 0])) - - - .. py:method:: contains(substr: Union[bytes, arkouda.dtypes.str_scalars], regex: bool = False) -> arkouda.pdarrayclass.pdarray - - Check whether each element contains the given substring. - - :param substr: The substring in the form of string or byte array to search for - :type substr: str_scalars - :param regex: Indicates whether substr is a regular expression - Note: only handles regular expressions supported by re2 - (does not support lookaheads/lookbehinds) - :type regex: bool - - :returns: True for elements that contain substr, False otherwise - :rtype: pdarray, bool - - :raises TypeError: Raised if the substr parameter is not bytes or str_scalars - :raises ValueError: Rasied if substr is not a valid regex - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.startswith`, :obj:`Strings.endswith` - - .. rubric:: Examples - - >>> strings = ak.array([f'{i} string {i}' for i in range(1, 6)]) - >>> strings - array(['1 string 1', '2 string 2', '3 string 3', '4 string 4', '5 string 5']) - >>> strings.contains('string') - array([True, True, True, True, True]) - >>> strings.contains('string \d', regex=True) - array([True, True, True, True, True]) - - - .. py:method:: startswith(substr: Union[bytes, arkouda.dtypes.str_scalars], regex: bool = False) -> arkouda.pdarrayclass.pdarray - - Check whether each element starts with the given substring. - - :param substr: The prefix to search for - :type substr: Union[bytes, str_scalars] - :param regex: Indicates whether substr is a regular expression - Note: only handles regular expressions supported by re2 - (does not support lookaheads/lookbehinds) - :type regex: bool - - :returns: True for elements that start with substr, False otherwise - :rtype: pdarray, bool - - :raises TypeError: Raised if the substr parameter is not a bytes ior str_scalars - :raises ValueError: Rasied if substr is not a valid regex - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.contains`, :obj:`Strings.endswith` - - .. rubric:: Examples - - >>> strings_end = ak.array([f'string {i}' for i in range(1, 6)]) - >>> strings_end - array(['string 1', 'string 2', 'string 3', 'string 4', 'string 5']) - >>> strings_end.startswith('string') - array([True, True, True, True, True]) - >>> strings_start = ak.array([f'{i} string' for i in range(1,6)]) - >>> strings_start - array(['1 string', '2 string', '3 string', '4 string', '5 string']) - >>> strings_start.startswith('\d str', regex = True) - array([True, True, True, True, True]) - - - .. py:method:: endswith(substr: Union[bytes, arkouda.dtypes.str_scalars], regex: bool = False) -> arkouda.pdarrayclass.pdarray - - Check whether each element ends with the given substring. - - :param substr: The suffix to search for - :type substr: Union[bytes, str_scalars] - :param regex: Indicates whether substr is a regular expression - Note: only handles regular expressions supported by re2 - (does not support lookaheads/lookbehinds) - :type regex: bool - - :returns: True for elements that end with substr, False otherwise - :rtype: pdarray, bool - - :raises TypeError: Raised if the substr parameter is not bytes or str_scalars - :raises ValueError: Rasied if substr is not a valid regex - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`Strings.contains`, :obj:`Strings.startswith` - - .. rubric:: Examples - - >>> strings_start = ak.array([f'{i} string' for i in range(1,6)]) - >>> strings_start - array(['1 string', '2 string', '3 string', '4 string', '5 string']) - >>> strings_start.endswith('ing') - array([True, True, True, True, True]) - >>> strings_end = ak.array([f'string {i}' for i in range(1, 6)]) - >>> strings_end - array(['string 1', 'string 2', 'string 3', 'string 4', 'string 5']) - >>> strings_end.endswith('ing \d', regex = True) - array([True, True, True, True, True]) - - - .. py:method:: flatten(delimiter: str, return_segments: bool = False, regex: bool = False) -> Union[Strings, Tuple] - - Unpack delimiter-joined substrings into a flat array. - - :param delimiter: Characters used to split strings into substrings - :type delimiter: str - :param return_segments: If True, also return mapping of original strings to first substring - in return array. - :type return_segments: bool - :param regex: Indicates whether delimiter is a regular expression - Note: only handles regular expressions supported by re2 - (does not support lookaheads/lookbehinds) - :type regex: bool - - :returns: * *Strings* -- Flattened substrings with delimiters removed - * *pdarray, int64 (optional)* -- For each original string, the index of first corresponding substring - in the return array - - .. seealso:: :obj:`peel`, :obj:`rpeel` - - .. rubric:: Examples - - >>> orig = ak.array(['one|two', 'three|four|five', 'six']) - >>> orig.flatten('|') - array(['one', 'two', 'three', 'four', 'five', 'six']) - >>> flat, map = orig.flatten('|', return_segments=True) - >>> map - array([0, 2, 5]) - >>> under = ak.array(['one_two', 'three_____four____five', 'six']) - >>> under_flat, under_map = under.flatten('_+', return_segments=True, regex=True) - >>> under_flat - array(['one', 'two', 'three', 'four', 'five', 'six']) - >>> under_map - array([0, 2, 5]) - - - .. py:method:: peel(delimiter: Union[bytes, arkouda.dtypes.str_scalars], times: arkouda.dtypes.int_scalars = 1, includeDelimiter: bool = False, keepPartial: bool = False, fromRight: bool = False, regex: bool = False) -> Tuple - - Peel off one or more delimited fields from each string (similar - to string.partition), returning two new arrays of strings. - *Warning*: This function is experimental and not guaranteed to work. - - :param delimiter: The separator where the split will occur - :type delimiter: Union[bytes, str_scalars] - :param times: The number of times the delimiter is sought, i.e. skip over - the first (times-1) delimiters - :type times: Union[int, np.int64] - :param includeDelimiter: If true, append the delimiter to the end of the first return - array. By default, it is prepended to the beginning of the - second return array. - :type includeDelimiter: bool - :param keepPartial: If true, a string that does not contain instances of - the delimiter will be returned in the first array. By default, - such strings are returned in the second array. - :type keepPartial: bool - :param fromRight: If true, peel from the right instead of the left (see also rpeel) - :type fromRight: bool - :param regex: Indicates whether delimiter is a regular expression - Note: only handles regular expressions supported by re2 - (does not support lookaheads/lookbehinds) - :type regex: bool - - :returns: - - left: Strings - The field(s) peeled from the end of each string (unless - fromRight is true) - right: Strings - The remainder of each string after peeling (unless fromRight - is true) - :rtype: Tuple[Strings, Strings] - - :raises TypeError: Raised if the delimiter parameter is not byte or str_scalars, if - times is not int64, or if includeDelimiter, keepPartial, or - fromRight is not bool - :raises ValueError: Raised if times is < 1 or if delimiter is not a valid regex - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`rpeel`, :obj:`stick`, :obj:`lstick` - - .. rubric:: Examples - - >>> s = ak.array(['a.b', 'c.d', 'e.f.g']) - >>> s.peel('.') - (array(['a', 'c', 'e']), array(['b', 'd', 'f.g'])) - >>> s.peel('.', includeDelimiter=True) - (array(['a.', 'c.', 'e.']), array(['b', 'd', 'f.g'])) - >>> s.peel('.', times=2) - (array(['', '', 'e.f']), array(['a.b', 'c.d', 'g'])) - >>> s.peel('.', times=2, keepPartial=True) - (array(['a.b', 'c.d', 'e.f']), array(['', '', 'g'])) - - - .. py:method:: rpeel(delimiter: Union[bytes, arkouda.dtypes.str_scalars], times: arkouda.dtypes.int_scalars = 1, includeDelimiter: bool = False, keepPartial: bool = False, regex: bool = False) - - Peel off one or more delimited fields from the end of each string - (similar to string.rpartition), returning two new arrays of strings. - *Warning*: This function is experimental and not guaranteed to work. - - :param delimiter: The separator where the split will occur - :type delimiter: Union[bytes, str_scalars] - :param times: The number of times the delimiter is sought, i.e. skip over - the last (times-1) delimiters - :type times: Union[int, np.int64] - :param includeDelimiter: If true, prepend the delimiter to the start of the first return - array. By default, it is appended to the end of the - second return array. - :type includeDelimiter: bool - :param keepPartial: If true, a string that does not contain instances of - the delimiter will be returned in the second array. By default, - such strings are returned in the first array. - :type keepPartial: bool - :param regex: Indicates whether delimiter is a regular expression - Note: only handles regular expressions supported by re2 - (does not support lookaheads/lookbehinds) - :type regex: bool - - :returns: - - left: Strings - The remainder of the string after peeling - right: Strings - The field(s) that were peeled from the right of each string - :rtype: Tuple[Strings, Strings] - - :raises TypeError: Raised if the delimiter parameter is not bytes or str_scalars or - if times is not int64 - :raises ValueError: Raised if times is < 1 or if delimiter is not a valid regex - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`peel`, :obj:`stick`, :obj:`lstick` - - .. rubric:: Examples - - >>> s = ak.array(['a.b', 'c.d', 'e.f.g']) - >>> s.rpeel('.') - (array(['a', 'c', 'e.f']), array(['b', 'd', 'g'])) - # Compared against peel - >>> s.peel('.') - (array(['a', 'c', 'e']), array(['b', 'd', 'f.g'])) - - - .. py:method:: stick(other: Strings, delimiter: Union[bytes, arkouda.dtypes.str_scalars] = '', toLeft: bool = False) -> Strings - - Join the strings from another array onto one end of the strings - of this array, optionally inserting a delimiter. - *Warning*: This function is experimental and not guaranteed to work. - - :param other: The strings to join onto self's strings - :type other: Strings - :param delimiter: String inserted between self and other - :type delimiter: str - :param toLeft: If true, join other strings to the left of self. By default, - other is joined to the right of self. - :type toLeft: bool - - :returns: The array of joined strings - :rtype: Strings - - :raises TypeError: Raised if the delimiter parameter is not bytes or str_scalars - or if the other parameter is not a Strings instance - :raises ValueError: Raised if times is < 1 - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`lstick`, :obj:`peel`, :obj:`rpeel` - - .. rubric:: Examples - - >>> s = ak.array(['a', 'c', 'e']) - >>> t = ak.array(['b', 'd', 'f']) - >>> s.stick(t, delimiter='.') - array(['a.b', 'c.d', 'e.f']) - - - .. py:method:: lstick(other: Strings, delimiter: Union[bytes, arkouda.dtypes.str_scalars] = '') -> Strings - - Join the strings from another array onto the left of the strings - of this array, optionally inserting a delimiter. - *Warning*: This function is experimental and not guaranteed to work. - - :param other: The strings to join onto self's strings - :type other: Strings - :param delimiter: String inserted between self and other - :type delimiter: Union[bytes,str_scalars] - - :returns: The array of joined strings, as other + self - :rtype: Strings - - :raises TypeError: Raised if the delimiter parameter is neither bytes nor a str - or if the other parameter is not a Strings instance - :raises RuntimeError: Raised if there is a server-side error thrown - - .. seealso:: :obj:`stick`, :obj:`peel`, :obj:`rpeel` - - .. rubric:: Examples - - >>> s = ak.array(['a', 'c', 'e']) - >>> t = ak.array(['b', 'd', 'f']) - >>> s.lstick(t, delimiter='.') - array(['b.a', 'd.c', 'f.e']) - - - .. py:method:: get_prefixes(n: arkouda.dtypes.int_scalars, return_origins: bool = True, proper: bool = True) -> Union[Strings, Tuple[Strings, arkouda.pdarrayclass.pdarray]] - - Return the n-long prefix of each string, where possible - - :param n: Length of prefix - :type n: int - :param return_origins: If True, return a logical index indicating which strings - were long enough to return an n-prefix - :type return_origins: bool - :param proper: If True, only return proper prefixes, i.e. from strings - that are at least n+1 long. If False, allow the entire - string to be returned as a prefix. - :type proper: bool - - :returns: * **prefixes** (*Strings*) -- The array of n-character prefixes; the number of elements is the number of - True values in the returned mask. - * **origin_indices** (*pdarray, bool*) -- Boolean array that is True where the string was long enough to return - an n-character prefix, False otherwise. - - - .. py:method:: get_suffixes(n: arkouda.dtypes.int_scalars, return_origins: bool = True, proper: bool = True) -> Union[Strings, Tuple[Strings, arkouda.pdarrayclass.pdarray]] - - Return the n-long suffix of each string, where possible - - :param n: Length of suffix - :type n: int - :param return_origins: If True, return a logical index indicating which strings - were long enough to return an n-suffix - :type return_origins: bool - :param proper: If True, only return proper suffixes, i.e. from strings - that are at least n+1 long. If False, allow the entire - string to be returned as a suffix. - :type proper: bool - - :returns: * **suffixes** (*Strings*) -- The array of n-character suffixes; the number of elements is the number of - True values in the returned mask. - * **origin_indices** (*pdarray, bool*) -- Boolean array that is True where the string was long enough to return - an n-character suffix, False otherwise. - - - .. py:method:: hash() -> Tuple[arkouda.pdarrayclass.pdarray, arkouda.pdarrayclass.pdarray] - - Compute a 128-bit hash of each string. - - :returns: A tuple of two int64 pdarrays. The ith hash value is the concatenation - of the ith values from each array. - :rtype: Tuple[pdarray,pdarray] - - .. rubric:: Notes - - The implementation uses SipHash128, a fast and balanced hash function (used - by Python for dictionaries and sets). For realistic numbers of strings (up - to about 10**15), the probability of a collision between two 128-bit hash - values is negligible. - - - .. py:method:: group() -> arkouda.pdarrayclass.pdarray - - Return the permutation that groups the array, placing equivalent - strings together. All instances of the same string are guaranteed to lie - in one contiguous block of the permuted array, but the blocks are not - necessarily ordered. - - :returns: The permutation that groups the array by value - :rtype: pdarray - - .. seealso:: :obj:`GroupBy`, :obj:`unique` - - .. rubric:: Notes - - If the arkouda server is compiled with "-sSegmentedString.useHash=true", - then arkouda uses 128-bit hash values to group strings, rather than sorting - the strings directly. This method is fast, but the resulting permutation - merely groups equivalent strings and does not sort them. If the "useHash" - parameter is false, then a full sort is performed. - - :raises RuntimeError: Raised if there is a server-side error in executing group request or - creating the pdarray encapsulating the return message - - - .. py:method:: to_ndarray() -> numpy.ndarray - - Convert the array to a np.ndarray, transferring array data from the - arkouda server to Python. If the array exceeds a built-in size limit, - a RuntimeError is raised. - - :returns: A numpy ndarray with the same strings as this array - :rtype: np.ndarray - - .. rubric:: Notes - - The number of bytes in the array cannot exceed ``ak.client.maxTransferBytes``, - otherwise a ``RuntimeError`` will be raised. This is to protect the user - from overflowing the memory of the system on which the Python client - is running, under the assumption that the server is running on a - distributed system with much more memory than the client. The user - may override this limit by setting ak.client.maxTransferBytes to a larger - value, but proceed with caution. - - .. seealso:: :obj:`array`, :obj:`to_list` - - .. rubric:: Examples - - >>> a = ak.array(["hello", "my", "world"]) - >>> a.to_ndarray() - array(['hello', 'my', 'world'], dtype='>> type(a.to_ndarray()) - numpy.ndarray - - - .. py:method:: to_list() -> list - - Convert the SegString to a list, transferring data from the - arkouda server to Python. If the SegString exceeds a built-in size limit, - a RuntimeError is raised. - - :returns: A list with the same strings as this SegString - :rtype: list - - .. rubric:: Notes - - The number of bytes in the array cannot exceed ``ak.client.maxTransferBytes``, - otherwise a ``RuntimeError`` will be raised. This is to protect the user - from overflowing the memory of the system on which the Python client - is running, under the assumption that the server is running on a - distributed system with much more memory than the client. The user - may override this limit by setting ak.client.maxTransferBytes to a larger - value, but proceed with caution. - - .. seealso:: :obj:`to_ndarray` - - .. rubric:: Examples - - >>> a = ak.array(["hello", "my", "world"]) - >>> a.to_list() - ['hello', 'my', 'world'] - >>> type(a.to_list()) - list - - - .. py:method:: astype(dtype) -> arkouda.pdarrayclass.pdarray - - Cast values of Strings object to provided dtype - - :param dtype: Dtype to cast to - :type dtype: np.dtype or str - - :returns: An arkouda pdarray with values converted to the specified data type - :rtype: ak.pdarray - - .. rubric:: Notes - - This is essentially shorthand for ak.cast(x, '') where x is a pdarray. - - - .. py:method:: to_parquet(prefix_path: str, dataset: str = 'strings_array', mode: str = 'truncate', compression: Optional[str] = None) -> str - - Save the Strings object to Parquet. The result is a collection of files, - one file per locale of the arkouda server, where each filename starts - with prefix_path. Each locale saves its chunk of the array to its - corresponding file. - :param prefix_path: Directory and filename prefix that all output files share - :type prefix_path: str - :param dataset: Name of the dataset to create in files (must not already exist) - :type dataset: str - :param mode: By default, truncate (overwrite) output files, if they exist. - If 'append', attempt to create new dataset in existing files. - :type mode: str {'truncate' | 'append'} - :param compression: (None | "snappy" | "gzip" | "brotli" | "zstd" | "lz4") - Sets the compression type used with Parquet files - :type compression: str (Optional) - - :rtype: string message indicating result of save operation - - :raises RuntimeError: Raised if a server-side error is thrown saving the pdarray - - .. rubric:: Notes - - - The prefix_path must be visible to the arkouda server and the user must - have write permission. - - Output files have names of the form ``_LOCALE``, where ```` - ranges from 0 to ``numLocales`` for `file_type='distribute'`. - - 'append' write mode is supported, but is not efficient. - - If any of the output files already exist and - the mode is 'truncate', they will be overwritten. If the mode is 'append' - and the number of output files is less than the number of locales or a - dataset with the same name already exists, a ``RuntimeError`` will result. - - Any file extension can be used.The file I/O does not rely on the extension to - determine the file format. - - - .. py:method:: to_hdf(prefix_path: str, dataset: str = 'strings_array', mode: str = 'truncate', save_offsets: bool = True, file_type: str = 'distribute') -> str - - Save the Strings object to HDF5. - The object can be saved to a collection of files or single file. - - :param prefix_path: Directory and filename prefix that all output files share - :type prefix_path: str - :param dataset: The name of the Strings dataset to be written, defaults to strings_array - :type dataset: str - :param mode: By default, truncate (overwrite) output files, if they exist. - If 'append', create a new Strings dataset within existing files. - :type mode: str {'truncate' | 'append'} - :param save_offsets: Defaults to True which will instruct the server to save the offsets array to HDF5 - If False the offsets array will not be save and will be derived from the string values - upon load/read. - :type save_offsets: bool - :param file_type: Default: Distribute - Distribute the dataset over a file per locale. - Single file will save the dataset to one file - :type file_type: str ("single" | "distribute") - - :rtype: String message indicating result of save operation - - :raises RuntimeError: Raised if a server-side error is thrown saving the pdarray - - .. rubric:: Notes - - - Parquet files do not store the segments, only the values. - - Strings state is saved as two datasets within an hdf5 group: - one for the string characters and one for the - segments corresponding to the start of each string - - the hdf5 group is named via the dataset parameter. - - The prefix_path must be visible to the arkouda server and the user must - have write permission. - - Output files have names of the form ``_LOCALE``, where ```` - ranges from 0 to ``numLocales`` for `file_type='distribute'`. Otherwise, - the file name will be `prefix_path`. - - If any of the output files already exist and - the mode is 'truncate', they will be overwritten. If the mode is 'append' - and the number of output files is less than the number of locales or a - dataset with the same name already exists, a ``RuntimeError`` will result. - - Any file extension can be used.The file I/O does not rely on the extension to - determine the file format. - - .. seealso:: :obj:`to_hdf` - - - .. py:method:: update_hdf(prefix_path: str, dataset: str = 'strings_array', save_offsets: bool = True, repack: bool = True) - - Overwrite the dataset with the name provided with this Strings object. If - the dataset does not exist it is added - - :param prefix_path: Directory and filename prefix that all output files share - :type prefix_path: str - :param dataset: Name of the dataset to create in files - :type dataset: str - :param save_offsets: Defaults to True which will instruct the server to save the offsets array to HDF5 - If False the offsets array will not be save and will be derived from the string values - upon load/read. - :type save_offsets: bool - :param repack: Default: True - HDF5 does not release memory on delete. When True, the inaccessible - data (that was overwritten) is removed. When False, the data remains, but is - inaccessible. Setting to false will yield better performance, but will cause - file sizes to expand. - :type repack: bool - - :rtype: str - success message if successful - - :raises RuntimeError: Raised if a server-side error is thrown saving the Strings object - - .. rubric:: Notes - - - If file does not contain File_Format attribute to indicate how it was saved, - the file name is checked for _LOCALE#### to determine if it is distributed. - - If the dataset provided does not exist, it will be added - - - .. py:method:: to_csv(prefix_path: str, dataset: str = 'strings_array', col_delim: str = ',', overwrite: bool = False) - - Write Strings to CSV file(s). File will contain a single column with the Strings data. - All CSV Files written by Arkouda include a header denoting data types of the columns. - Unlike other file formats, CSV files store Strings as their UTF-8 format instead of storing - bytes as uint(8). - - :param prefix_path: The filename prefix to be used for saving files. Files will have _LOCALE#### appended - when they are written to disk. - :type prefix_path: str - :param dataset: Column name to save the Strings under. Defaults to "strings_array". - :type dataset: str - :param col_delim: Defaults to ",". Value to be used to separate columns within the file. - Please be sure that the value used DOES NOT appear in your dataset. - :type col_delim: str - :param overwrite: Defaults to False. If True, any existing files matching your provided prefix_path will - be overwritten. If False, an error will be returned if existing files are found. - :type overwrite: bool - - :rtype: str reponse message - - :raises ValueError: Raised if all datasets are not present in all parquet files or if one or - more of the specified files do not exist - :raises RuntimeError: Raised if one or more of the specified files cannot be opened. - If `allow_errors` is true this may be raised if no values are returned - from the server. - :raises TypeError: Raised if we receive an unknown arkouda_type returned from the server - - .. rubric:: Notes - - - CSV format is not currently supported by load/load_all operations - - The column delimiter is expected to be the same for column names and data - - Be sure that column delimiters are not found within your data. - - All CSV files must delimit rows using newline (``\n``) at this time. - - - .. py:method:: save(prefix_path: str, dataset: str = 'strings_array', mode: str = 'truncate', save_offsets: bool = True, compression: Optional[str] = None, file_format: str = 'HDF5', file_type: str = 'distribute') -> str - - DEPRECATED - Save the Strings object to HDF5 or Parquet. The result is a collection of files, - one file per locale of the arkouda server, where each filename starts - with prefix_path. HDF5 support single files, in which case the file name will - only be that provided. Each locale saves its chunk of the array to its - corresponding file. - :param prefix_path: Directory and filename prefix that all output files share - :type prefix_path: str - :param dataset: The name of the Strings dataset to be written, defaults to strings_array - :type dataset: str - :param mode: By default, truncate (overwrite) output files, if they exist. - If 'append', create a new Strings dataset within existing files. - :type mode: str {'truncate' | 'append'} - :param save_offsets: Defaults to True which will instruct the server to save the offsets array to HDF5 - If False the offsets array will not be save and will be derived from the string values - upon load/read. This is not supported for Parquet files. - :type save_offsets: bool - :param compression: (None | "snappy" | "gzip" | "brotli" | "zstd" | "lz4") - Sets the compression type used with Parquet files - :type compression: str (Optional) - :param file_format: By default, saved files will be written to the HDF5 file format. If - 'Parquet', the files will be written to the Parquet file format. This - is case insensitive. - :type file_format: str - :param file_type: Default: Distribute - Distribute the dataset over a file per locale. - Single file will save the dataset to one file - :type file_type: str ("single" | "distribute") - - :rtype: String message indicating result of save operation - - .. rubric:: Notes - - Important implementation notes: (1) Strings state is saved as two datasets - within an hdf5 group: one for the string characters and one for the - segments corresponding to the start of each string, (2) the hdf5 group is named - via the dataset parameter. (3) Parquet files do not store the segments, - only the values. - - - .. py:method:: info() -> str - - Returns a JSON formatted string containing information about all components of self - - :param None: - - :returns: JSON string containing information about all components of self - :rtype: str - - - .. py:method:: pretty_print_info() -> None - - Prints information about all components of self in a human readable format - - :param None: - - :rtype: None - - - .. py:method:: register(user_defined_name: str) -> Strings - - Register this Strings object with a user defined name in the arkouda server - so it can be attached to later using Strings.attach() - This is an in-place operation, registering a Strings object more than once will - update the name in the registry and remove the previously registered name. - A name can only be registered to one object at a time. - - :param user_defined_name: user defined name which the Strings object is to be registered under - :type user_defined_name: str - - :returns: The same Strings object which is now registered with the arkouda server and - has an updated name. - This is an in-place modification, the original is returned to support a - fluid programming style. - Please note you cannot register two different objects with the same name. - :rtype: Strings - - :raises TypeError: Raised if user_defined_name is not a str - :raises RegistrationError: If the server was unable to register the Strings object with the user_defined_name - If the user is attempting to register more than one object with the same name, - the former should be unregistered first to free up the registration name. - - .. seealso:: :obj:`attach`, :obj:`unregister` - - .. rubric:: Notes - - Registered names/Strings objects in the server are immune to deletion - until they are unregistered. - - - .. py:method:: unregister() -> None - - Unregister a Strings object in the arkouda server which was previously - registered using register() and/or attached to using attach() - - - :rtype: None - - :raises RuntimeError: Raised if the server could not find the internal name/symbol to remove - - .. seealso:: :obj:`register`, :obj:`attach` - - .. rubric:: Notes - - Registered names/Strings objects in the server are immune to deletion until - they are unregistered. - - - .. py:method:: is_registered() -> numpy.bool_ - - Return True iff the object is contained in the registry - - :param None: - - :returns: Indicates if the object is contained in the registry - :rtype: bool - - :raises RuntimeError: Raised if there's a server-side error thrown - - - .. py:method:: attach(user_defined_name: str) -> Strings - :staticmethod: - - class method to return a Strings object attached to the registered name in the arkouda - server which was registered using register() - - :param user_defined_name: user defined name which the Strings object was registered under - :type user_defined_name: str - - :returns: the Strings object registered with user_defined_name in the arkouda server - :rtype: Strings object - - :raises TypeError: Raised if user_defined_name is not a str - - .. seealso:: :obj:`register`, :obj:`unregister` - - .. rubric:: Notes - - Registered names/Strings objects in the server are immune to deletion - until they are unregistered. - - - .. py:method:: unregister_strings_by_name(user_defined_name: str) -> None - :staticmethod: - - Unregister a Strings object in the arkouda server previously registered via register() - - :param user_defined_name: The registered name of the Strings object - :type user_defined_name: str - - .. seealso:: :obj:`register`, :obj:`unregister`, :obj:`attach`, :obj:`is_registered` - - - .. py:method:: transfer(hostname: str, port: arkouda.dtypes.int_scalars) - - Sends a Strings object to a different Arkouda server - - :param hostname: The hostname where the Arkouda server intended to - receive the Strings object is running. - :type hostname: str - :param port: The port to send the array over. This needs to be an - open port (i.e., not one that the Arkouda server is - running on). This will open up `numLocales` ports, - each of which in succession, so will use ports of the - range {port..(port+numLocales)} (e.g., running an - Arkouda server of 4 nodes, port 1234 is passed as - `port`, Arkouda will use ports 1234, 1235, 1236, - and 1237 to send the array data). - This port much match the port passed to the call to - `ak.receive_array()`. - :type port: int_scalars - - :rtype: A message indicating a complete transfer - - :raises ValueError: Raised if the op is not within the pdarray.BinOps set - :raises TypeError: Raised if other is not a pdarray or the pdarray.dtype is not - a supported dtype - - - -.. py:class:: Datetime(pda, unit: str = _BASE_UNIT) - - - Bases: :py:obj:`_AbstractBaseTime` - - Represents a date and/or time. - - Datetime is the Arkouda analog to pandas DatetimeIndex and - other timeseries data types. - - :param pda: - :type pda: int64 pdarray, pd.DatetimeIndex, pd.Series, or np.datetime64 array - :param unit: For int64 pdarray, denotes the unit of the input. Ignored for pandas - and numpy arrays, which carry their own unit. Not case-sensitive; - prefixes of full names (like 'sec') are accepted. - - Possible values: - - * 'weeks' or 'w' - * 'days' or 'd' - * 'hours' or 'h' - * 'minutes', 'm', or 't' - * 'seconds' or 's' - * 'milliseconds', 'ms', or 'l' - * 'microseconds', 'us', or 'u' - * 'nanoseconds', 'ns', or 'n' - - Unlike in pandas, units cannot be combined or mixed with integers - :type unit: str, default 'ns' - - .. rubric:: Notes - - The ``.values`` attribute is always in nanoseconds with int64 dtype. - - .. py:property:: nanosecond - - - .. py:property:: microsecond - - - .. py:property:: millisecond - - - .. py:property:: second - - - .. py:property:: minute - - - .. py:property:: hour - - - .. py:property:: day - - - .. py:property:: month - - - .. py:property:: year - - - .. py:property:: day_of_year - - - .. py:property:: dayofyear - - - .. py:property:: day_of_week - - - .. py:property:: dayofweek - - - .. py:property:: weekday - - - .. py:property:: week - - - .. py:property:: weekofyear - - - .. py:property:: date - - - .. py:property:: is_leap_year - - - .. py:attribute:: supported_with_datetime - - - - .. py:attribute:: supported_with_r_datetime - - - - .. py:attribute:: supported_with_timedelta - - - - .. py:attribute:: supported_with_r_timedelta - - - - .. py:attribute:: supported_opeq - - - - .. py:attribute:: supported_with_pdarray - - - - .. py:attribute:: supported_with_r_pdarray - - - - .. py:attribute:: special_objType - :value: 'Datetime' - - - - .. py:method:: isocalendar() - - - .. py:method:: to_pandas() - - Convert array to a pandas DatetimeIndex. Note: if the array size - exceeds client.maxTransferBytes, a RuntimeError is raised. - - .. seealso:: :obj:`to_ndarray` - - - .. py:method:: sum() - - Return the sum of all elements in the array. - - - .. py:method:: register(user_defined_name) - - Register this Datetime object and underlying components with the Arkouda server - - :param user_defined_name: user defined name the Datetime is to be registered under, - this will be the root name for underlying components - :type user_defined_name: str - - :returns: The same Datetime which is now registered with the arkouda server and has an updated name. - This is an in-place modification, the original is returned to support - a fluid programming style. - Please note you cannot register two different Datetimes with the same name. - :rtype: Datetime - - :raises TypeError: Raised if user_defined_name is not a str - :raises RegistrationError: If the server was unable to register the Datetimes with the user_defined_name - - .. seealso:: :obj:`unregister`, :obj:`attach`, :obj:`is_registered` - - .. rubric:: Notes - - Objects registered with the server are immune to deletion until - they are unregistered. - - - .. py:method:: unregister() - - Unregister this Datetime object in the arkouda server which was previously - registered using register() and/or attached to using attach() - - :raises RegistrationError: If the object is already unregistered or if there is a server error - when attempting to unregister - - .. seealso:: :obj:`register`, :obj:`attach`, :obj:`is_registered` - - .. rubric:: Notes - - Objects registered with the server are immune to deletion until - they are unregistered. - - - .. py:method:: is_registered() -> numpy.bool_ - - Return True iff the object is contained in the registry or is a component of a - registered object. - - :returns: Indicates if the object is contained in the registry - :rtype: numpy.bool - - :raises RegistrationError: Raised if there's a server-side error or a mis-match of registered components - - .. seealso:: :obj:`register`, :obj:`attach`, :obj:`unregister` - - .. rubric:: Notes - - Objects registered with the server are immune to deletion until - they are unregistered. - - - -.. py:class:: CachedAccessor(name: str, accessor) - - - Custom property-like object. - A descriptor for caching accessors. - :param name: Namespace that will be accessed under, e.g. ``df.foo``. - :type name: str - :param accessor: Class with the extension methods. - :type accessor: cls - - .. rubric:: Notes - - For accessor, The class's __init__ method assumes that one of - ``Series``, ``DataFrame`` or ``Index`` as the - single argument ``data``. - - -.. py:function:: string_operators(cls) - - -.. py:function:: date_operators(cls) - - -.. py:class:: Properties - - - -.. py:class:: DatetimeAccessor(series) - - - Bases: :py:obj:`Properties` - - -.. py:class:: StringAccessor(series) - - - Bases: :py:obj:`Properties` - - -.. py:function:: get_filetype(filenames: Union[str, List[str]]) -> str - - Get the type of a file accessible to the server. Supported - file types and possible return strings are 'HDF5' and 'Parquet'. - - :param filenames: A file or list of files visible to the arkouda server - :type filenames: Union[str, List[str]] - - :returns: Type of the file returned as a string, either 'HDF5', 'Parquet' or 'CSV - :rtype: str - - :raises ValueError: Raised if filename is empty or contains only whitespace - - .. rubric:: Notes - - - When list provided, it is assumed that all files are the same type - - CSV Files without the Arkouda Header are not supported - - .. seealso:: :obj:`read_parquet`, :obj:`read_hdf` - - -.. py:function:: ls(filename: str, col_delim: str = ',', read_nested: bool = True) -> List[str] - - This function calls the h5ls utility on a HDF5 file visible to the - arkouda server or calls a function that imitates the result of h5ls - on a Parquet file. - - :param filename: The name of the file to pass to the server - :type filename: str - :param col_delim: The delimiter used to separate columns if the file is a csv - :type col_delim: str - :param read_nested: Default True, when True, SegArray objects will be read from the file. When False, - SegArray (or other nested Parquet columns) will be ignored. - Only used for Parquet files. - :type read_nested: bool - - :returns: The string output of the datasets from the server - :rtype: str - - :raises TypeError: Raised if filename is not a str - :raises ValueError: Raised if filename is empty or contains only whitespace - :raises RuntimeError: Raised if error occurs in executing ls on an HDF5 file - :raises Notes: - This will need to be updated because Parquet will not technically support this when we update. - Similar functionality will be added for Parquet in the future - - For CSV files without headers, please use ls_csv - - .. seealso:: :obj:`ls_csv` - - -.. py:function:: ls_csv(filename: str, col_delim: str = ',') -> List[str] - - Used for identifying the datasets within a file when a CSV does not - have a header. - - :param filename: The name of the file to pass to the server - :type filename: str - :param col_delim: The delimiter used to separate columns if the file is a csv - :type col_delim: str - - :returns: The string output of the datasets from the server - :rtype: str - - .. seealso:: :obj:`ls` - - -.. py:function:: get_null_indices(filenames: Union[str, List[str]], datasets: Optional[Union[str, List[str]]] = None) -> Union[arkouda.pdarrayclass.pdarray, Mapping[str, arkouda.pdarrayclass.pdarray]] - - Get null indices of a string column in a Parquet file. - - :param filenames: Either a list of filenames or shell expression - :type filenames: list or str - :param datasets: (List of) name(s) of dataset(s) to read. Each dataset must be a string - column. There is no default value for this function, the datasets to be - read must be specified. - :type datasets: list or str or None - - :returns: * *For a single dataset returns an Arkouda pdarray and for multiple datasets* - * *returns a dictionary of Arkouda pdarrays* -- Dictionary of {datasetName: pdarray} - - :raises RuntimeError: Raised if one or more of the specified files cannot be opened. - :raises TypeError: Raised if we receive an unknown arkouda_type returned from the server - - .. seealso:: :obj:`get_datasets`, :obj:`ls` - - -.. py:function:: get_datasets(filenames: Union[str, List[str]], allow_errors: bool = False, column_delim: str = ',', read_nested: bool = True) -> List[str] - - Get the names of the datasets in the provide files - - :param filenames: Name of the file/s from which to return datasets - :type filenames: str or List[str] - :param allow_errors: Default: False - Whether or not to allow errors while accessing datasets - :type allow_errors: bool - :param column_delim: Column delimiter to be used if dataset is CSV. Otherwise, unused. - :type column_delim: str - :param read_nested: Default True, when True, SegArray objects will be read from the file. When False, - SegArray (or other nested Parquet columns) will be ignored. - Only used for Parquet Files. - :type read_nested: bool - - :rtype: List[str] of names of the datasets - - :raises RuntimeError: - If no datasets are returned - - .. rubric:: Notes - - - This function currently supports HDF5 and Parquet formats. - - Future updates to Parquet will deprecate this functionality on that format, - but similar support will be added for Parquet at that time. - - If a list of files is provided, only the datasets in the first file will be returned - - .. seealso:: :obj:`ls` - - -.. py:function:: get_columns(filenames: Union[str, List[str]], col_delim: str = ',', allow_errors: bool = False) -> List[str] - - Get a list of column names from CSV file(s). - - -.. py:function:: read_hdf(filenames: Union[str, List[str]], datasets: Optional[Union[str, List[str]]] = None, iterative: bool = False, strict_types: bool = True, allow_errors: bool = False, calc_string_offsets: bool = False, tag_data=False) -> Union[arkouda.pdarrayclass.pdarray, arkouda.strings.Strings, arkouda.segarray.SegArray, arkouda.array_view.ArrayView, arkouda.categorical.Categorical, arkouda.dataframe.DataFrame, arkouda.client_dtypes.IPv4, arkouda.timeclass.Datetime, arkouda.timeclass.Timedelta, arkouda.index.Index, Mapping[str, Union[arkouda.pdarrayclass.pdarray, arkouda.strings.Strings, arkouda.segarray.SegArray, arkouda.array_view.ArrayView, arkouda.categorical.Categorical, arkouda.dataframe.DataFrame, arkouda.client_dtypes.IPv4, arkouda.timeclass.Datetime, arkouda.timeclass.Timedelta, arkouda.index.Index]]] - - Read Arkouda objects from HDF5 file/s - - :param filenames: Filename/s to read objects from - :type filenames: str, List[str] - :param datasets: datasets to read from the provided files - :type datasets: Optional str, List[str] - :param iterative: Iterative (True) or Single (False) function call(s) to server - :type iterative: bool - :param strict_types: If True (default), require all dtypes of a given dataset to have the - same precision and sign. If False, allow dtypes of different - precision and sign across different files. For example, if one - file contains a uint32 dataset and another contains an int64 - dataset with the same name, the contents of both will be read - into an int64 pdarray. - :type strict_types: bool - :param allow_errors: Default False, if True will allow files with read errors to be skipped - instead of failing. A warning will be included in the return containing - the total number of files skipped due to failure and up to 10 filenames. - :type allow_errors: bool - :param calc_string_offsets: Default False, if True this will tell the server to calculate the - offsets/segments array on the server versus loading them from HDF5 files. - In the future this option may be set to True as the default. - :type calc_string_offsets: bool - :param tagData: Default False, if True tag the data with the code associated with the filename - that the data was pulled from. - :type tagData: bool - - :returns: * *For a single dataset returns an Arkouda pdarray, Arkouda Strings, Arkouda Segarrays,* - * *or Arkouda ArrayViews. For multiple datasets returns a dictionary of Arkouda pdarrays,* - * *Arkouda Strings, Arkouda Segarrays, or Arkouda ArrayViews.* -- Dictionary of {datasetName: pdarray, String, SegArray, or ArrayView} - - :raises ValueError: Raised if all datasets are not present in all hdf5 files or if one or - more of the specified files do not exist - :raises RuntimeError: Raised if one or more of the specified files cannot be opened. - If `allow_errors` is true this may be raised if no values are returned - from the server. - :raises TypeError: Raised if we receive an unknown arkouda_type returned from the server - - .. rubric:: Notes - - If filenames is a string, it is interpreted as a shell expression - (a single filename is a valid expression, so it will work) and is - expanded with glob to read all matching files. - - If iterative == True each dataset name and file names are passed to - the server as independent sequential strings while if iterative == False - all dataset names and file names are passed to the server in a single - string. - - If datasets is None, infer the names of datasets from the first file - and read all of them. Use ``get_datasets`` to show the names of datasets - to HDF5 files. - - .. seealso:: :obj:`read_tagged_data` - - .. rubric:: Examples - - >>> - # Read with file Extension - >>> x = ak.read_hdf('path/name_prefix.h5') # load HDF5 - # Read Glob Expression - >>> x = ak.read_hdf('path/name_prefix*') # Reads HDF5 - - -.. py:function:: read_parquet(filenames: Union[str, List[str]], datasets: Optional[Union[str, List[str]]] = None, iterative: bool = False, strict_types: bool = True, allow_errors: bool = False, tag_data: bool = False, read_nested: bool = True) -> Union[arkouda.pdarrayclass.pdarray, arkouda.strings.Strings, arkouda.segarray.SegArray, arkouda.array_view.ArrayView, arkouda.categorical.Categorical, arkouda.dataframe.DataFrame, arkouda.client_dtypes.IPv4, arkouda.timeclass.Datetime, arkouda.timeclass.Timedelta, arkouda.index.Index, Mapping[str, Union[arkouda.pdarrayclass.pdarray, arkouda.strings.Strings, arkouda.segarray.SegArray, arkouda.array_view.ArrayView, arkouda.categorical.Categorical, arkouda.dataframe.DataFrame, arkouda.client_dtypes.IPv4, arkouda.timeclass.Datetime, arkouda.timeclass.Timedelta, arkouda.index.Index]]] - - Read Arkouda objects from Parquet file/s - - :param filenames: Filename/s to read objects from - :type filenames: str, List[str] - :param datasets: datasets to read from the provided files - :type datasets: Optional str, List[str] - :param iterative: Iterative (True) or Single (False) function call(s) to server - :type iterative: bool - :param strict_types: If True (default), require all dtypes of a given dataset to have the - same precision and sign. If False, allow dtypes of different - precision and sign across different files. For example, if one - file contains a uint32 dataset and another contains an int64 - dataset with the same name, the contents of both will be read - into an int64 pdarray. - :type strict_types: bool - :param allow_errors: Default False, if True will allow files with read errors to be skipped - instead of failing. A warning will be included in the return containing - the total number of files skipped due to failure and up to 10 filenames. - :type allow_errors: bool - :param tagData: Default False, if True tag the data with the code associated with the filename - that the data was pulled from. - :type tagData: bool - :param read_nested: Default True, when True, SegArray objects will be read from the file. When False, - SegArray (or other nested Parquet columns) will be ignored. - If datasets is not None, this will be ignored. - :type read_nested: bool - - :returns: * *For a single dataset returns an Arkouda pdarray, Arkouda Strings, or Arkouda ArrayView object* - * *and for multiple datasets returns a dictionary of Arkouda pdarrays,* - * *Arkouda Strings or Arkouda ArrayView.* -- Dictionary of {datasetName: pdarray or String} + :returns: * *For a single dataset returns an Arkouda pdarray, Arkouda Strings, or Arkouda ArrayView object* + * *and for multiple datasets returns a dictionary of Arkouda pdarrays,* + * *Arkouda Strings or Arkouda ArrayView.* -- Dictionary of {datasetName: pdarray or String} :raises ValueError: Raised if all datasets are not present in all parquet files or if one or more of the specified files do not exist @@ -29544,3 +27909,60 @@ Attributes a supported dtype +.. py:function:: attach(name: str) + + +.. py:function:: unregister(name: str) + + +.. py:function:: attach_all(names: list) + + Attach to all objects registered with the names provide + + :param names: List of names to attach to + :type names: list + + :rtype: dict + + +.. py:function:: unregister_all(names: list) + + Unregister all names provided + + :param names: List of names used to register objects to be unregistered + :type names: list + + :rtype: None + + +.. py:function:: register_all(data: dict) + + Register all objects in the provided dictionary + + :param data: Maps name to register the object to the object. For example, {"MyArray": ak.array([0, 1, 2]) + :type data: dict + + :rtype: None + + +.. py:function:: is_registered(name: str, as_component: bool = False) -> bool + + Determine if the name provided is associated with a registered Object + + :param name: The name to check for in the registry + :type name: str + :param as_component: Default: False + When True, the name will be checked to determine if it is registered as a component of + a registered object + :type as_component: bool + + :rtype: bool + + +.. py:function:: broadcast_dims(sa: Sequence[int], sb: Sequence[int]) -> Tuple[int, Ellipsis] + + Algorithm to determine shape of broadcasted PD array given two array shapes + + see: https://data-apis.org/array-api/latest/API_specification/broadcasting.html#algorithm + + diff --git a/autoapi/arkouda/categorical/index.html b/autoapi/arkouda/categorical/index.html index 609b9ff345..c604f48091 100644 --- a/autoapi/arkouda/categorical/index.html +++ b/autoapi/arkouda/categorical/index.html @@ -305,7 +305,7 @@

Classes#<
Parameters:
    -

  • values (Strings) – String values to convert to categories

    • +

  • values (Strings) – String values to convert to categories

  • NAvalue (str scalar) – The value to use to represent missing/null data

@@ -316,7 +316,7 @@

Classes#<

The set of category labels (determined automatically)

Type:
-

Strings

+

Strings

@@ -443,7 +443,7 @@

Classes#<
Parameters:

  • codes (pdarray, int64) – Category indices of each value

    • -

  • categories (Strings) – Unique category labels

    • +

  • categories (Strings) – Unique category labels

  • permutation (pdarray, int64) – The permutation that groups the values in the same order as categories

  • segments (pdarray, int64) – When values are grouped, the starting offset of each group

    • @@ -497,7 +497,7 @@

    Classes#<
    Parameters:
      -

    • new_categories (Strings) – The array of new categories to use. Must be unique.

      • +

    • new_categories (Strings) – The array of new categories to use. Must be unique.

    • NAvalue (str scalar) – The value to use to represent missing/null data

    @@ -708,7 +708,7 @@

    Classes#< where an element of self is in test and False otherwise.

    Parameters:
    -

    test (Union[Strings,Categorical]) – The values against which to test each value of ‘self`.

    +

    test (Union[Strings,Categorical]) – The values against which to test each value of ‘self`.

    Returns:

    The values self[in1d] are in the test Strings or Categorical object.

    diff --git a/autoapi/arkouda/client_dtypes/index.html b/autoapi/arkouda/client_dtypes/index.html index aec960da60..e1f582b339 100644 --- a/autoapi/arkouda/client_dtypes/index.html +++ b/autoapi/arkouda/client_dtypes/index.html @@ -453,7 +453,7 @@

    Functions
    Parameters:
      -

    • values (pdarray or Strings) – The array of field values. If (u)int64, the values are used as-is for the +

    • values (pdarray or Strings) – The array of field values. If (u)int64, the values are used as-is for the binary representation of fields. If Strings, the values are converted to binary according to the mapping defined by the names and MSB_left arguments.

      • diff --git a/autoapi/arkouda/dataframe/index.html b/autoapi/arkouda/dataframe/index.html index 63b4cd0378..2cf839b88b 100644 --- a/autoapi/arkouda/dataframe/index.html +++ b/autoapi/arkouda/dataframe/index.html @@ -330,8 +330,8 @@

      FunctionsIndex, pdarray, or Strings) – Index for the resulting frame. Defaults to an integer range.

      -

    • columns (List, tuple, pdarray, or Strings) – Column labels to use if the data does not include them. Elements must +

    • index (Index, pdarray, or Strings) – Index for the resulting frame. Defaults to an integer range.

      • +

    • columns (List, tuple, pdarray, or Strings) – Column labels to use if the data does not include them. Elements must be strings. Defaults to an stringified integer range.

    diff --git a/autoapi/arkouda/groupbyclass/index.html b/autoapi/arkouda/groupbyclass/index.html index d1f257947a..c23a0aaf0c 100644 --- a/autoapi/arkouda/groupbyclass/index.html +++ b/autoapi/arkouda/groupbyclass/index.html @@ -332,7 +332,7 @@

    Attributes
    Parameters:

@@ -1393,7 +1393,7 @@

Attributes
Parameters:
    -

  • values (pdarray, Strings) – The values to put in each group’s segment

    • +

  • values (pdarray, Strings) – The values to put in each group’s segment

  • permute (bool) – If True (default), permute broadcast values back to the ordering of the original array on which GroupBy was called. If False, the broadcast values are grouped by value.

    • @@ -1403,7 +1403,7 @@

    Attributes

    The broadcasted values

Return type:
-

pdarray, Strings

+

pdarray, Strings

Raises:
    @@ -1607,7 +1607,7 @@

    Attributes

    • segments (pdarray, int64) – Offsets of the start of each row in the sparse matrix or grouped array. Must be sorted in ascending order.

      • -

    • values (pdarray, Strings) – The values to broadcast, one per row (or group)

      • +

    • values (pdarray, Strings) – The values to broadcast, one per row (or group)

    • size (int) – The total number of nonzeros in the matrix. If permutation is given, this argument is ignored and the size is inferred from the permutation array.

    • permutation (pdarray, int64) – The permutation to go from the original ordering of nonzeros to the ordering @@ -1621,7 +1621,7 @@

      Attributes

      The broadcast values, one per nonzero

Return type:
-

pdarray, Strings

+

pdarray, Strings

Raises:

ValueError –

    diff --git a/autoapi/arkouda/index.html b/autoapi/arkouda/index.html index d48614156c..cc431615ad 100644 --- a/autoapi/arkouda/index.html +++ b/autoapi/arkouda/index.html @@ -347,7 +347,7 @@

    Classes#<

    pdarray

    The basic arkouda array class. This class contains only the

    -

    Strings

    +

    Strings

    Represents an array of strings whose data resides on the

    BitVector

    @@ -368,7 +368,7 @@

    Classes#<

    GroupBy

    Group an array or list of arrays by value, usually in preparation

    -

    Strings

    +

    Strings

    Represents an array of strings whose data resides on the

    LogLevel

    @@ -377,7 +377,7 @@

    Classes#<

    pdarray

    The basic arkouda array class. This class contains only the

    -

    Datetime

    +

    Datetime

    Represents a date and/or time.

    Timedelta

    @@ -389,7 +389,7 @@

    Classes#<

    pdarray

    The basic arkouda array class. This class contains only the

    -

    Strings

    +

    Strings

    Represents an array of strings whose data resides on the

    SegArray

    @@ -422,13 +422,13 @@

    Classes#<

    pdarray

    The basic arkouda array class. This class contains only the

    -

    Strings

    +

    Strings

    Represents an array of strings whose data resides on the

    DataFrame

    A DataFrame structure based on arkouda arrays.

    -

    Datetime

    +

    Datetime

    Represents a date and/or time.

    Timedelta

    @@ -437,24 +437,6 @@

    Classes#<

    GroupBy

    Group an array or list of arrays by value, usually in preparation

    -

    Strings

    -

    Represents an array of strings whose data resides on the

    - -

    Datetime

    -

    Represents a date and/or time.

    - -

    CachedAccessor

    -

    Custom property-like object.

    - -

    Properties

    -

    - -

    DatetimeAccessor

    -

    - -

    StringAccessor

    -

    - @@ -961,174 +943,198 @@

    Functions

    coargsort(→ arkouda.pdarrayclass.pdarray)

    Return the permutation that groups the rows (left-to-right), if the

    -

    broadcast(segments, values[, size, permutation])

    +

    convert_if_categorical(values)

    +

    Convert a Categorical array to Strings for display

    + +

    generic_concat(items[, ordered])

    +

    + +

    get_callback(x)

    +

    + +

    broadcast(segments, values[, size, permutation])

    Broadcast a dense column vector to the rows of a sparse matrix or grouped array.

    -

    unique(→ Union[groupable, Tuple[groupable, ...)

    +

    unique(→ Union[groupable, Tuple[groupable, ...)

    Find the unique elements of an array.

    -

    where(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    where(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Returns an array with elements chosen from A and B based upon a

    -

    arange(→ arkouda.pdarrayclass.pdarray)

    +

    arange(→ arkouda.pdarrayclass.pdarray)

    arange([start,] stop[, stride,] dtype=int64)

    -

    full(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    full(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Create a pdarray filled with fill_value.

    -

    ones(→ arkouda.pdarrayclass.pdarray)

    +

    ones(→ arkouda.pdarrayclass.pdarray)

    Create a pdarray filled with ones.

    -

    zeros(→ arkouda.pdarrayclass.pdarray)

    +

    zeros(→ arkouda.pdarrayclass.pdarray)

    Create a pdarray filled with zeros.

    -

    concatenate(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    concatenate(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Concatenate a list or tuple of pdarray or Strings objects into

    -

    in1d(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    in1d(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Test whether each element of a 1-D array is also present in a second array.

    -

    argsort(→ arkouda.pdarrayclass.pdarray)

    +

    argsort(→ arkouda.pdarrayclass.pdarray)

    Return the permutation that sorts the array.

    -

    coargsort(→ arkouda.pdarrayclass.pdarray)

    +

    coargsort(→ arkouda.pdarrayclass.pdarray)

    Return the permutation that groups the rows (left-to-right), if the

    -

    unsqueeze(p)

    +

    unsqueeze(p)

    -

    zero_up(vals)

    +

    zero_up(vals)

    Map an array of sparse values to 0-up indices.

    -

    align(*args)

    +

    align(*args)

    Map multiple arrays of sparse identifiers to a common 0-up index.

    -

    right_align(left, right)

    +

    right_align(left, right)

    Map two arrays of sparse values to the 0-up index set implied by the right array,

    -

    left_align(left, right)

    +

    left_align(left, right)

    Map two arrays of sparse identifiers to the 0-up index set implied by the left array,

    -

    find(query, space)

    +

    find(query, space)

    Return indices of query items in a search list of items (-1 if not found).

    -

    lookup(keys, values, arguments[, fillvalue])

    +

    lookup(keys, values, arguments[, fillvalue])

    Apply the function defined by the mapping keys --> values to arguments.

    -

    in1d_intervals(vals, intervals[, symmetric])

    +

    in1d_intervals(vals, intervals[, symmetric])

    Test each value for membership in any of a set of half-open (pythonic)

    -

    search_intervals(vals, intervals[, tiebreak, hierarchical])

    +

    search_intervals(vals, intervals[, tiebreak, hierarchical])

    Given an array of query vals and non-overlapping, closed intervals, return

    -

    is_cosorted(arrays)

    +

    is_cosorted(arrays)

    Return True iff the arrays are cosorted, i.e., if the arrays were columns in a table

    -

    interval_lookup(keys, values, arguments[, fillvalue, ...])

    +

    interval_lookup(keys, values, arguments[, fillvalue, ...])

    Apply a function defined over intervals to an array of arguments.

    -

    date_range([start, end, periods, freq, tz, normalize, ...])

    +

    date_range([start, end, periods, freq, tz, normalize, ...])

    Creates a fixed frequency Datetime range. Alias for

    -

    timedelta_range([start, end, periods, freq, name, closed])

    +

    timedelta_range([start, end, periods, freq, name, closed])

    Return a fixed frequency TimedeltaIndex, with day as the default

    -

    skew(→ numpy.float64)

    +

    skew(→ numpy.float64)

    Computes the sample skewness of an array.

    -

    arange(→ arkouda.pdarrayclass.pdarray)

    +

    arange(→ arkouda.pdarrayclass.pdarray)

    arange([start,] stop[, stride,] dtype=int64)

    -

    histogram(→ Tuple[arkouda.pdarrayclass.pdarray, ...)

    +

    histogram(→ Tuple[arkouda.pdarrayclass.pdarray, ...)

    Compute a histogram of evenly spaced bins over the range of an array.

    -

    isnan(→ arkouda.pdarrayclass.pdarray)

    +

    isnan(→ arkouda.pdarrayclass.pdarray)

    Return the element-wise isnan check applied to the array.

    -

    plot_dist(b, h[, log, xlabel, newfig])

    +

    plot_dist(b, h[, log, xlabel, newfig])

    Plot the distribution and cumulative distribution of histogram Data

    -

    hist_all(ak_df[, cols])

    +

    hist_all(ak_df[, cols])

    Create a grid plot histogramming all numeric columns in ak dataframe

    -

    string_operators(cls)

    -

    - -

    date_operators(cls)

    -

    - -

    get_filetype(→ str)

    +

    get_filetype(→ str)

    Get the type of a file accessible to the server. Supported

    -

    ls(→ List[str])

    +

    ls(→ List[str])

    This function calls the h5ls utility on a HDF5 file visible to the

    -

    ls_csv(→ List[str])

    +

    ls_csv(→ List[str])

    Used for identifying the datasets within a file when a CSV does not

    -

    get_null_indices(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    get_null_indices(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Get null indices of a string column in a Parquet file.

    -

    get_datasets(→ List[str])

    +

    get_datasets(→ List[str])

    Get the names of the datasets in the provide files

    -

    get_columns(→ List[str])

    +

    get_columns(→ List[str])

    Get a list of column names from CSV file(s).

    -

    read_hdf(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    read_hdf(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Read Arkouda objects from HDF5 file/s

    -

    read_parquet(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    read_parquet(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Read Arkouda objects from Parquet file/s

    -

    read_csv(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    read_csv(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Read CSV file(s) into Arkouda objects. If more than one dataset is found, the objects

    -

    read(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    read(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Read datasets from files.

    -

    read_tagged_data(filenames[, datasets, strictTypes, ...])

    +

    read_tagged_data(filenames[, datasets, strictTypes, ...])

    Read datasets from files and tag each record to the file it was read from.

    -

    import_data(read_path[, write_file, return_obj, index])

    +

    import_data(read_path[, write_file, return_obj, index])

    Import data from a file saved by Pandas (HDF5/Parquet) to Arkouda object and/or

    -

    export(read_path[, dataset_name, write_file, ...])

    +

    export(read_path[, dataset_name, write_file, ...])

    Export data from Arkouda file (Parquet/HDF5) to Pandas object or file formatted to be

    -

    to_hdf(→ None)

    +

    to_hdf(→ None)

    Save multiple named pdarrays to HDF5 files.

    -

    to_parquet(→ None)

    +

    to_parquet(→ None)

    Save multiple named pdarrays to Parquet files.

    -

    to_csv(columns, prefix_path[, names, col_delim, overwrite])

    +

    to_csv(columns, prefix_path[, names, col_delim, overwrite])

    Write Arkouda object(s) to CSV file(s). All CSV Files written by Arkouda

    -

    save_all(→ None)

    +

    save_all(→ None)

    DEPRECATED

    -

    load(→ Union[arkouda.pdarrayclass.pdarray, ...)

    +

    load(→ Union[arkouda.pdarrayclass.pdarray, ...)

    Load a pdarray previously saved with pdarray.save().

    -

    load_all(→ Mapping[str, ...)

    +

    load_all(→ Mapping[str, ...)

    Load multiple pdarrays, Strings, SegArrays, or Categoricals previously

    -

    update_hdf(columns, prefix_path[, names, repack])

    +

    update_hdf(columns, prefix_path[, names, repack])

    Overwrite the datasets with name appearing in names or keys in columns if columns

    -

    snapshot(filename)

    +

    snapshot(filename)

    Create a snapshot of the current Arkouda namespace. All currently accessible variables containing

    -

    restore(filename)

    +

    restore(filename)

    Return data saved using ak.snapshot

    -

    receive(hostname, port)

    +

    receive(hostname, port)

    Receive a pdarray sent by pdarray.transfer().

    -

    receive_dataframe(hostname, port)

    +

    receive_dataframe(hostname, port)

    Receive a pdarray sent by dataframe.transfer().

    +

    attach(name)

    +

    + +

    unregister(name)

    +

    + +

    attach_all(names)

    +

    Attach to all objects registered with the names provide

    + +

    unregister_all(names)

    +

    Unregister all names provided

    + +

    register_all(data)

    +

    Register all objects in the provided dictionary

    + +

    is_registered(→ bool)

    +

    Determine if the name provided is associated with a registered Object

    + +

    broadcast_dims(→ Tuple[int, Ellipsis])

    +

    Algorithm to determine shape of broadcasted PD array given two array shapes

    + @@ -1554,7 +1560,7 @@

    Attributes
    Parameters:
      -

    • keys ((list of) pdarray, Strings, or Categorical) – The array to group by value, or if list, the column arrays to group by row

      • +

    • keys ((list of) pdarray, Strings, or Categorical) – The array to group by value, or if list, the column arrays to group by row

    • assume_sorted (bool) – If True, assume keys is already sorted (Default: False)

    @@ -1598,7 +1604,7 @@

    Attributes
    Type:
    -

    (list of) pdarray, Strings, or Categorical

    +

    (list of) pdarray, Strings, or Categorical

@@ -2568,7 +2574,7 @@

Attributes
Parameters:
    -

  • values (pdarray, Strings) – The values to put in each group’s segment

    • +

  • values (pdarray, Strings) – The values to put in each group’s segment

  • permute (bool) – If True (default), permute broadcast values back to the ordering of the original array on which GroupBy was called. If False, the broadcast values are grouped by value.

    • @@ -2578,7 +2584,7 @@

    Attributes

    The broadcasted values

Return type:
-

pdarray, Strings

+

pdarray, Strings

Raises:
@@ -2761,7 +2767,7 @@

Attributes

See also

-

register, unregister, attach, is_registered

+

register, unregister, attach, is_registered

@@ -2782,7 +2788,7 @@

Attributes

  • segments (pdarray, int64) – Offsets of the start of each row in the sparse matrix or grouped array. Must be sorted in ascending order.

    • -

  • values (pdarray, Strings) – The values to broadcast, one per row (or group)

    • +

  • values (pdarray, Strings) – The values to broadcast, one per row (or group)

  • size (int) – The total number of nonzeros in the matrix. If permutation is given, this argument is ignored and the size is inferred from the permutation array.

  • permutation (pdarray, int64) – The permutation to go from the original ordering of nonzeros to the ordering @@ -2796,7 +2802,7 @@

    Attributes

    The broadcast values, one per nonzero

    Return type:
    -

    pdarray, Strings

    +

    pdarray, Strings

    Raises:

    ValueError –

      @@ -2832,7 +2838,7 @@

      Attributes
      Parameters:
        -

      • pda (pdarray or Strings) – The array of values to cast

        • +

      • pda (pdarray or Strings) – The array of values to cast

      • dt (np.dtype, type, or str) – The target dtype to cast values to

      • errors ({strict, ignore, return_validity}) –

        Controls how errors are handled when casting strings to a numeric type (ignored for casts from numeric types).

        @@ -2897,8 +2903,8 @@

        AttributesParameters:
        Returns:
        @@ -4041,7 +4047,7 @@

        Attributes

        See also

        -

        attach, unregister, is_registered, list_registry, unregister_pdarray_by_name

        +

        attach, unregister, is_registered, list_registry, unregister_pdarray_by_name

        Notes

        Registered names/pdarrays in the server are immune to deletion @@ -4072,7 +4078,7 @@

        Attributes

        See also

        -

        register, unregister, is_registered, unregister_pdarray_by_name, list_registry

        +

        register, unregister, is_registered, unregister_pdarray_by_name, list_registry

        Notes

        Registered names/pdarrays in the server are immune to deletion until @@ -4110,7 +4116,7 @@

        Attributes

        See also

        -

        register, unregister, is_registered, unregister_pdarray_by_name, list_registry

        +

        register, unregister, is_registered, unregister_pdarray_by_name, list_registry

        Notes

        Registered names/pdarrays in the server are immune to deletion @@ -4206,7 +4212,7 @@

        AttributesReturn type: -

        pdarray or Strings

        +

        pdarray or Strings

        Raises:
          @@ -4425,7 +4431,7 @@

          Attributes
          -static from_return_msg(rep_msg: str) → Strings#
          +static from_return_msg(rep_msg: str) → Strings#

          Factory method for creating a Strings object from an Arkouda server response message

          @@ -4437,7 +4443,7 @@

          Attributes

          object representing a segmented strings array on the server

          Return type:
          -

          Strings

          +

          Strings

          Raises:

          RuntimeError – Raised if there’s an error converting a server-returned str-descriptor

          @@ -4450,7 +4456,7 @@

          Attributes
          -static from_parts(offset_attrib: arkouda.pdarrayclass.pdarray | str, bytes_attrib: arkouda.pdarrayclass.pdarray | str) → Strings#
          +static from_parts(offset_attrib: arkouda.pdarrayclass.pdarray | str, bytes_attrib: arkouda.pdarrayclass.pdarray | str) → Strings#

          Factory method for creating a Strings object from an Arkouda server response where the arrays are separate components.

          @@ -4464,7 +4470,7 @@

          Attributes

          object representing a segmented strings array on the server

          Return type:
          -

          Strings

          +

          Strings

          Raises:

          RuntimeError – Raised if there’s an error converting a server-returned str-descriptor

          @@ -4551,7 +4557,7 @@

          Attributes

          A new Strings object in toEncoding

          Return type:
          -

          Strings

          +

          Strings

          Raises:

          RuntimeError – Raised if there is a server-side error thrown

          @@ -4576,7 +4582,7 @@

          Attributes

          A new Strings object in toEncoding

          Return type:
          -

          Strings

          +

          Strings

          Raises:

          RuntimeError – Raised if there is a server-side error thrown

          @@ -4586,7 +4592,7 @@

          Attributes
          -lower() → Strings#
          +lower() → Strings#

          Returns a new Strings with all uppercase characters from the original replaced with their lowercase equivalent

          @@ -4595,7 +4601,7 @@

          AttributesReturn type: -

          Strings

          +

          Strings

          Raises:

          RuntimeError – Raised if there is a server-side error thrown

          @@ -4603,7 +4609,7 @@

          Attributes

          See also

          -

          Strings.upper

          +

          Strings.upper

          Examples

          >>> strings = ak.array([f'StrINgS {i}' for i in range(5)])
@@ -4617,7 +4623,7 @@ 
          Attributes
 
          
-upper() → Strings#
          
+upper() → Strings#
 
          Returns a new Strings with all lowercase characters from the original replaced with
 their uppercase equivalent
          
 
          
@@ -4626,7 +4632,7 @@ 
          AttributesReturn type:
-
          Strings
          
+
          Strings
          
 
          
 
          Raises:
          
 
          RuntimeError – Raised if there is a server-side error thrown
          
@@ -4634,7 +4640,7 @@ 
          Attributes
 
          See also
          
-
          Strings.lower
          
+
          Strings.lower

          Examples

          >>> strings = ak.array([f'StrINgS {i}' for i in range(5)])
@@ -4648,14 +4654,14 @@ 
          Attributes
 
          
-title() → Strings#
          
+title() → Strings#
 
          Returns a new Strings from the original replaced with their titlecase equivalent
          
 
          
 
          Returns:
          
 
          Strings from the original replaced with their titlecase equivalent
          
 
          
 
          Return type:
          
-
          Strings
          
+
          Strings
          
 
          
 
          Raises:
          
 
          RuntimeError – Raised if there is a server-side error thrown
          
@@ -4663,7 +4669,7 @@ 
          Attributes
 
          See also
          
-
          Strings.lower, String.upper
          
+
          Strings.lower, String.upper

          Examples

          >>> strings = ak.array([f'StrINgS {i}' for i in range(5)])
@@ -4693,7 +4699,7 @@ 
          Attributes
 
          See also
          
-
          Strings.isupper
          
+
          Strings.isupper

          Examples

          >>> lower = ak.array([f'strings {i}' for i in range(3)])
@@ -4725,7 +4731,7 @@ 
          Attributes
 
          See also
          
-
          Strings.islower
          
+
          Strings.islower

          Examples

          >>> lower = ak.array([f'strings {i}' for i in range(3)])
@@ -4757,7 +4763,7 @@ 
          Attributes
 
          See also
          
-
          Strings.islower, Strings.isupper
          
+
          Strings.islower, Strings.isupper

          Examples

          >>> mixed = ak.array([f'sTrINgs {i}' for i in range(3)])
@@ -4789,7 +4795,7 @@ 
          Attributes
 
          See also
          
-
          Strings.islower, Strings.isupper, Strings.istitle
          
+
          Strings.islower, Strings.isupper, Strings.istitle

          Examples

          >>> not_alnum = ak.array([f'%Strings {i}' for i in range(3)])
@@ -4822,7 +4828,7 @@ 
          Attributes
 
          See also
          
-
          Strings.islower, Strings.isupper, Strings.istitle, Strings.isalnum
          
+
          Strings.islower, Strings.isupper, Strings.istitle, Strings.isalnum

          Examples

          >>> not_alpha = ak.array([f'%Strings {i}' for i in range(3)])
@@ -4854,7 +4860,7 @@ 
          Attributes
 
          See also
          
-
          Strings.islower, Strings.isupper, Strings.istitle
          
+
          Strings.islower, Strings.isupper, Strings.istitle

          Examples

          >>> not_digit = ak.array([f'Strings {i}' for i in range(3)])
@@ -4870,7 +4876,7 @@ 
          Attributes
 
          
-strip(chars: bytes | arkouda.dtypes.str_scalars | None = '') → Strings#
          
+strip(chars: bytes | arkouda.dtypes.str_scalars | None = '') → Strings#
 
          Returns a new Strings object with all leading and trailing occurrences of characters contained
 in chars removed. The chars argument is a string specifying the set of characters to be removed.
 If omitted, the chars argument defaults to removing whitespace. The chars argument is not a
@@ -4884,7 +4890,7 @@ 
          AttributesReturn type:
-
          Strings
          
+
          Strings
          
 
          
 
          Raises:
          
 
          RuntimeError – Raised if there is a server-side error thrown
          
@@ -5039,7 +5045,7 @@ 
          Attributes
 
          
-split(pattern: bytes | arkouda.dtypes.str_scalars, maxsplit: int = 0, return_segments: bool = False) → Strings | Tuple#
          
+split(pattern: bytes | arkouda.dtypes.str_scalars, maxsplit: int = 0, return_segments: bool = False) → Strings | Tuple#
 
          Returns a new Strings split by the occurrences of pattern.
 If maxsplit is nonzero, at most maxsplit splits occur
          
 
          
@@ -5071,7 +5077,7 @@ 
          Attributes
 
          
-findall(pattern: bytes | arkouda.dtypes.str_scalars, return_match_origins: bool = False) → Strings | Tuple#
          
+findall(pattern: bytes | arkouda.dtypes.str_scalars, return_match_origins: bool = False) → Strings | Tuple#
 
          Return a new Strings containg all non-overlapping matches of pattern
          
 
          
 
          Parameters:
          
@@ -5110,7 +5116,7 @@ 
          Attributes
 
          
-sub(pattern: bytes | arkouda.dtypes.str_scalars, repl: bytes | arkouda.dtypes.str_scalars, count: int = 0) → Strings#
          
+sub(pattern: bytes | arkouda.dtypes.str_scalars, repl: bytes | arkouda.dtypes.str_scalars, count: int = 0) → Strings#
 
          Return new Strings obtained by replacing non-overlapping occurrences of pattern with the
 replacement repl.
 If count is nonzero, at most count substitutions occur
          
@@ -5127,7 +5133,7 @@ 
          Attributes
          Strings with pattern matches replaced
          
 
          
 
          Return type:
          
-
          Strings
          
+
          Strings
          
 
          
 
          Raises:

          Examples

          >>> a = ak.array(["hello", "my", "world"])
@@ -6025,7 +6031,7 @@ 
          Attributes
 
          
-register(user_defined_name: str) → Strings#
          
+register(user_defined_name: str) → Strings#
 
          Register this Strings object with a user defined name in the arkouda server
 so it can be attached to later using Strings.attach()
 This is an in-place operation, registering a Strings object more than once will
@@ -6043,7 +6049,7 @@ 
          AttributesReturn type:
-
          Strings
          
+
          Strings
          
 
          
 
          Raises:

          Notes

          Registered names/Strings objects in the server are immune to deletion @@ -6078,7 +6084,7 @@

          Attributes

          See also

          -

          register, attach

          +

          register, attach

          Notes

          Registered names/Strings objects in the server are immune to deletion until @@ -6107,7 +6113,7 @@

          Attributes
          -static attach(user_defined_name: str) → Strings#
          +static attach(user_defined_name: str) → Strings#

          class method to return a Strings object attached to the registered name in the arkouda server which was registered using register()

          @@ -6126,7 +6132,7 @@

          Attributes

          See also

          -

          register, unregister

          +

          register, unregister

          Notes

          Registered names/Strings objects in the server are immune to deletion @@ -6144,7 +6150,7 @@

          Attributes

          See also

          -

          register, unregister, attach, is_registered

          +

          register, unregister, attach, is_registered

          @@ -6293,7 +6299,7 @@

          Attributes

          See also

          -

          unregister, attach, is_registered

          +

          unregister, attach, is_registered

          Notes

          Objects registered with the server are immune to deletion until @@ -6315,7 +6321,7 @@

          Attributes
          Parameters:
            -

          • values (pdarray or Strings) – The array of field values. If (u)int64, the values are used as-is for the +

          • values (pdarray or Strings) – The array of field values. If (u)int64, the values are used as-is for the binary representation of fields. If Strings, the values are converted to binary according to the mapping defined by the names and MSB_left arguments.

            • @@ -6466,7 +6472,7 @@

            Attributes

            See also

            -

            unregister, attach, is_registered

            +

            unregister, attach, is_registered

            Notes

            Objects registered with the server are immune to deletion until @@ -7802,7 +7808,7 @@

            Attributes

            See also

            -

            attach, unregister, is_registered, list_registry, unregister_pdarray_by_name

            +

            attach, unregister, is_registered, list_registry, unregister_pdarray_by_name

            Notes

            Registered names/pdarrays in the server are immune to deletion @@ -7833,7 +7839,7 @@

            Attributes

            See also

            -

            register, unregister, is_registered, unregister_pdarray_by_name, list_registry

            +

            register, unregister, is_registered, unregister_pdarray_by_name, list_registry

            Notes

            Registered names/pdarrays in the server are immune to deletion until @@ -7871,7 +7877,7 @@

            Attributes

            See also

            -

            register, unregister, is_registered, unregister_pdarray_by_name, list_registry

            +

            register, unregister, is_registered, unregister_pdarray_by_name, list_registry

            Notes

            Registered names/pdarrays in the server are immune to deletion @@ -8801,7 +8807,7 @@

            Attributes

            See also

            -

            attach, register, unregister, is_registered, unregister_pdarray_by_name, list_registry

            +

            attach, register, unregister, is_registered, unregister_pdarray_by_name, list_registry

            Notes

            Registered names/pdarrays in the server are immune to deletion @@ -8835,7 +8841,7 @@

            Attributes

            See also

            -

            register, unregister, is_registered, list_registry, attach

            +

            register, unregister, is_registered, list_registry, attach

            Notes

            Registered names/pdarrays in the server are immune to deletion until @@ -8870,7 +8876,7 @@

            Attributes
            Parameters:
            -

            pda (pdarray or Strings or Categorical) – The array to sort (int64, uint64, or float64)

            +

            pda (pdarray or Strings or Categorical) – The array to sort (int64, uint64, or float64)

            Returns:

            The indices such that pda[indices] is sorted

            @@ -8906,7 +8912,7 @@

            Attributes
            Parameters:
            -

            arrays (Sequence[Union[Strings, pdarray, Categorical]]) – The columns (int64, uint64, float64, Strings, or Categorical) to sort by row

            +

            arrays (Sequence[Union[Strings, pdarray, Categorical]]) – The columns (int64, uint64, float64, Strings, or Categorical) to sort by row

            Returns:

            The indices that permute the rows to grouped order

            @@ -8994,8 +9000,8 @@

            Attributes
            Parameters:
              -

            • a (list of pdarrays, pdarray, Strings, or Categorical) – Rows are elements for which to test membership in b

              • -

            • b (list of pdarrays, pdarray, Strings, or Categorical) – Rows are elements of the set in which to test membership

              • +

            • a (list of pdarrays, pdarray, Strings, or Categorical) – Rows are elements for which to test membership in b

              • +

            • b (list of pdarrays, pdarray, Strings, or Categorical) – Rows are elements of the set in which to test membership

            • assume_unique (bool) – If true, assume rows of a and b are each unique and sorted. By default, sort and unique them explicitly.

            • symmetric (bool) – Return in1d(pda1, pda2), in1d(pda2, pda1) when pda1 and 2 are single items.

              • @@ -9027,7 +9033,7 @@

              Return Type
              Parameters:
                -

              • arrays (Sequence[Union[pdarray,Strings,Categorical]]) – The arrays to concatenate. Must all have same dtype.

                • +

              • arrays (Sequence[Union[pdarray,Strings,Categorical]]) – The arrays to concatenate. Must all have same dtype.

              • ordered (bool) – If True (default), the arrays will be appended in the order given. If False, array data may be interleaved in blocks, which can greatly improve performance but @@ -9039,7 +9045,7 @@

                Return TypeReturn type: -

                Union[pdarray,Strings,Categorical]

                +

                Union[pdarray,Strings,Categorical]

                Raises:
                  @@ -9076,7 +9082,7 @@

                  Return Type
                  Parameters:
                  @@ -9125,7 +9131,7 @@

                  Return Type
                  Parameters:
                    -

                  • pda1 (pdarray/Sequence[pdarray, Strings, Categorical]) – Input array/Sequence of groupable objects

                    • +

                  • pda1 (pdarray/Sequence[pdarray, Strings, Categorical]) – Input array/Sequence of groupable objects

                  • pda2 (pdarray/List) – Input array/sequence of groupable objects

                  • assume_unique (bool) – If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False.

                    • @@ -9176,7 +9182,7 @@

                    Return Type
                    Parameters:
                      -

                    • pda1 (pdarray/Sequence[pdarray, Strings, Categorical]) – Input array/Sequence of groupable objects

                      • +

                    • pda1 (pdarray/Sequence[pdarray, Strings, Categorical]) – Input array/Sequence of groupable objects

                    • pda2 (pdarray/List) – Input array/sequence of groupable objects

                    • assume_unique (bool) – If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False.

                      • @@ -9228,7 +9234,7 @@

                      Return Type
                      Parameters:
                        -

                      • pda1 (pdarray/Sequence[pdarray, Strings, Categorical]) – Input array/Sequence of groupable objects

                        • +

                      • pda1 (pdarray/Sequence[pdarray, Strings, Categorical]) – Input array/Sequence of groupable objects

                      • pda2 (pdarray/List) – Input array/sequence of groupable objects

                      • assume_unique (bool) – If True, the input arrays are both assumed to be unique, which can speed up the calculation. Default is False.

                        • @@ -9276,8 +9282,8 @@

                        Return Type
                        Parameters:
                        Returns:
                        @@ -9314,7 +9320,7 @@

                        Return TypeReturn type: -

                        pdarray or Strings

                        +

                        pdarray or Strings

                        Raises:
                        Return type:
                        -

                        pdarray or Strings

                        +

                        pdarray or Strings

                        Raises:

                        TypeError – Raised if the supplied dtype is not supported or if the size @@ -9881,7 +9887,7 @@

                        Return Type

                        The array of random strings

                        Return type:
                        -

                        Strings

                        +

                        Strings

                        Raises:

                        ValueError – Raised if minlen < 0, maxlen < minlen, or size < 0

                        @@ -9922,7 +9928,7 @@

                        Return Type

                        The Strings object encapsulating a pdarray of random strings

                        Return type:
                        -

                        Strings

                        +

                        Strings

                        Raises:
                          @@ -9968,7 +9974,7 @@

                          Return TypeReturn type: -

                          Union[pdarray,Strings]

                          +

                          Union[pdarray,Strings]

                          Raises:
                            @@ -10080,7 +10086,7 @@

                            Return Type
                            Parameters:
                            Return type:
                            -

                            pdarray, Strings

                            +

                            pdarray, Strings

                            Raises:

                            ValueError –

                              @@ -12785,7 +12791,7 @@

                              Return Type
                              -static from_return_msg(rep_msg: str) → Strings#
                              +static from_return_msg(rep_msg: str) → Strings#

                              Factory method for creating a Strings object from an Arkouda server response message

                              @@ -12797,7 +12803,7 @@

                              Return Type

                              object representing a segmented strings array on the server

                              Return type:
                              -

                              Strings

                              +

                              Strings

                              Raises:

                              RuntimeError – Raised if there’s an error converting a server-returned str-descriptor

                              @@ -12810,7 +12816,7 @@

                              Return Type
                              -static from_parts(offset_attrib: arkouda.pdarrayclass.pdarray | str, bytes_attrib: arkouda.pdarrayclass.pdarray | str) → Strings#
                              +static from_parts(offset_attrib: arkouda.pdarrayclass.pdarray | str, bytes_attrib: arkouda.pdarrayclass.pdarray | str) → Strings#

                              Factory method for creating a Strings object from an Arkouda server response where the arrays are separate components.

                              @@ -12824,7 +12830,7 @@

                              Return Type

                              object representing a segmented strings array on the server

                              Return type:
                              -

                              Strings

                              +

                              Strings

                              Raises:

                              RuntimeError – Raised if there’s an error converting a server-returned str-descriptor

                              @@ -12911,7 +12917,7 @@

                              Return Type

                              A new Strings object in toEncoding

                              Return type:
                              -

                              Strings

                              +

                              Strings

                              Raises:

                              RuntimeError – Raised if there is a server-side error thrown

                              @@ -12936,7 +12942,7 @@

                              Return Type

                              A new Strings object in toEncoding

                              Return type:
                              -

                              Strings

                              +

                              Strings

                              Raises:

                              RuntimeError – Raised if there is a server-side error thrown

                              @@ -12946,7 +12952,7 @@

                              Return Type
                              -lower() → Strings#
                              +lower() → Strings#

                              Returns a new Strings with all uppercase characters from the original replaced with their lowercase equivalent

                              @@ -12955,7 +12961,7 @@

                              Return TypeReturn type: -

                              Strings

                              +

                              Strings

                              Raises:

                              RuntimeError – Raised if there is a server-side error thrown

                              @@ -12963,7 +12969,7 @@

                              Return Type

                              See also

                              -

                              Strings.upper

                              +

                              Strings.upper

                              Examples

                              >>> strings = ak.array([f'StrINgS {i}' for i in range(5)])
@@ -12977,7 +12983,7 @@ 
                              Return Type
 
                              
-upper() → Strings#
                              
+upper() → Strings#
 
                              Returns a new Strings with all lowercase characters from the original replaced with
 their uppercase equivalent
                              
 
                              
@@ -12986,7 +12992,7 @@ 
                              Return TypeReturn type:
-
                              Strings
                              
+
                              Strings
                              
 
                              
 
                              Raises:
                              
 
                              RuntimeError – Raised if there is a server-side error thrown
                              
@@ -12994,7 +13000,7 @@ 
                              Return Type
 
                              See also
                              
-
                              Strings.lower
                              
+
                              Strings.lower

                              Examples

                              >>> strings = ak.array([f'StrINgS {i}' for i in range(5)])
@@ -13008,14 +13014,14 @@ 
                              Return Type
 
                              
-title() → Strings#
                              
+title() → Strings#
 
                              Returns a new Strings from the original replaced with their titlecase equivalent
                              
 
                              
 
                              Returns:
                              
 
                              Strings from the original replaced with their titlecase equivalent
                              
 
                              
 
                              Return type:
                              
-
                              Strings
                              
+
                              Strings
                              
 
                              
 
                              Raises:
                              
 
                              RuntimeError – Raised if there is a server-side error thrown
                              
@@ -13023,7 +13029,7 @@ 
                              Return Type
 
                              See also
                              
-
                              Strings.lower, String.upper
                              
+
                              Strings.lower, String.upper

                              Examples

                              >>> strings = ak.array([f'StrINgS {i}' for i in range(5)])
@@ -13053,7 +13059,7 @@ 
                              Return Type
 
                              See also
                              
-
                              Strings.isupper
                              
+
                              Strings.isupper

                              Examples

                              >>> lower = ak.array([f'strings {i}' for i in range(3)])
@@ -13085,7 +13091,7 @@ 
                              Return Type
 
                              See also
                              
-
                              Strings.islower
                              
+
                              Strings.islower

                              Examples

                              >>> lower = ak.array([f'strings {i}' for i in range(3)])
@@ -13117,7 +13123,7 @@ 
                              Return Type
 
                              See also
                              
-
                              Strings.islower, Strings.isupper
                              
+
                              Strings.islower, Strings.isupper

                              Examples

                              >>> mixed = ak.array([f'sTrINgs {i}' for i in range(3)])
@@ -13149,7 +13155,7 @@ 
                              Return Type
 
                              See also
                              
-
                              Strings.islower, Strings.isupper, Strings.istitle
                              
+
                              Strings.islower, Strings.isupper, Strings.istitle

                              Examples

                              >>> not_alnum = ak.array([f'%Strings {i}' for i in range(3)])
@@ -13182,7 +13188,7 @@ 
                              Return Type
 
                              See also
                              
-
                              Strings.islower, Strings.isupper, Strings.istitle, Strings.isalnum
                              
+
                              Strings.islower, Strings.isupper, Strings.istitle, Strings.isalnum

                              Examples

                              >>> not_alpha = ak.array([f'%Strings {i}' for i in range(3)])
@@ -13214,7 +13220,7 @@ 
                              Return Type
 
                              See also
                              
-
                              Strings.islower, Strings.isupper, Strings.istitle
                              
+
                              Strings.islower, Strings.isupper, Strings.istitle

                              Examples

                              >>> not_digit = ak.array([f'Strings {i}' for i in range(3)])
@@ -13230,7 +13236,7 @@ 
                              Return Type
 
                              
-strip(chars: bytes | arkouda.dtypes.str_scalars | None = '') → Strings#
                              
+strip(chars: bytes | arkouda.dtypes.str_scalars | None = '') → Strings#
 
                              Returns a new Strings object with all leading and trailing occurrences of characters contained
 in chars removed. The chars argument is a string specifying the set of characters to be removed.
 If omitted, the chars argument defaults to removing whitespace. The chars argument is not a
@@ -13244,7 +13250,7 @@ 
                              Return TypeReturn type:
-
                              Strings
                              
+
                              Strings
                              
 
                              
 
                              Raises:
                              
 
                              RuntimeError – Raised if there is a server-side error thrown
                              
@@ -13399,7 +13405,7 @@ 
                              Return Type
 
                              
-split(pattern: bytes | arkouda.dtypes.str_scalars, maxsplit: int = 0, return_segments: bool = False) → Strings | Tuple#
                              
+split(pattern: bytes | arkouda.dtypes.str_scalars, maxsplit: int = 0, return_segments: bool = False) → Strings | Tuple#
 
                              Returns a new Strings split by the occurrences of pattern.
 If maxsplit is nonzero, at most maxsplit splits occur
                              
 
                              
@@ -13431,7 +13437,7 @@ 
                              Return Type
 
                              
-findall(pattern: bytes | arkouda.dtypes.str_scalars, return_match_origins: bool = False) → Strings | Tuple#
                              
+findall(pattern: bytes | arkouda.dtypes.str_scalars, return_match_origins: bool = False) → Strings | Tuple#
 
                              Return a new Strings containg all non-overlapping matches of pattern
                              
 
                              
 
                              Parameters:
                              
@@ -13470,7 +13476,7 @@ 
                              Return Type
 
                              
-sub(pattern: bytes | arkouda.dtypes.str_scalars, repl: bytes | arkouda.dtypes.str_scalars, count: int = 0) → Strings#
                              
+sub(pattern: bytes | arkouda.dtypes.str_scalars, repl: bytes | arkouda.dtypes.str_scalars, count: int = 0) → Strings#
 
                              Return new Strings obtained by replacing non-overlapping occurrences of pattern with the
 replacement repl.
 If count is nonzero, at most count substitutions occur
                              
@@ -13487,7 +13493,7 @@ 
                              Return Type
                              Strings with pattern matches replaced
                              
 
                              
 
                              Return type:
                              
-
                              Strings
                              
+
                              Strings
                              
 
                              
 
                              Raises:

                              Examples

                              >>> a = ak.array(["hello", "my", "world"])
@@ -14385,7 +14391,7 @@ 
                              Return Type
 
                              
-register(user_defined_name: str) → Strings#
                              
+register(user_defined_name: str) → Strings#
 
                              Register this Strings object with a user defined name in the arkouda server
 so it can be attached to later using Strings.attach()
 This is an in-place operation, registering a Strings object more than once will
@@ -14403,7 +14409,7 @@ 
                              Return TypeReturn type:
-
                              Strings
                              
+
                              Strings
                              
 
                              
 
                              Raises:

                              Notes

                              Registered names/Strings objects in the server are immune to deletion @@ -14438,7 +14444,7 @@

                              Return Type

                              See also

                              -

                              register, attach

                              +

                              register, attach

                              Notes

                              Registered names/Strings objects in the server are immune to deletion until @@ -14467,7 +14473,7 @@

                              Return Type
                              -static attach(user_defined_name: str) → Strings#
                              +static attach(user_defined_name: str) → Strings#

                              class method to return a Strings object attached to the registered name in the arkouda server which was registered using register()

                              @@ -14486,7 +14492,7 @@

                              Return Type

                              See also

                              -

                              register, unregister

                              +

                              register, unregister

                              Notes

                              Registered names/Strings objects in the server are immune to deletion @@ -14504,7 +14510,7 @@

                              Return Type

                              See also

                              -

                              register, unregister, attach, is_registered

                              +

                              register, unregister, attach, is_registered

                              @@ -14741,7 +14747,7 @@

                              Return Type
                              Parameters:
                              Return type:
                              -

                              pdarray, Strings

                              +

                              pdarray, Strings

                              Raises:

                              ValueError –

                              @@ -23686,7 +23692,7 @@

                              Return Type
                              Parameters:
                                -

                              • keys ((list of) pdarray, Strings, or Categorical) – The array to group by value, or if list, the column arrays to group by row

                                • +

                              • keys ((list of) pdarray, Strings, or Categorical) – The array to group by value, or if list, the column arrays to group by row

                              • assume_sorted (bool) – If True, assume keys is already sorted (Default: False)

                              @@ -23730,7 +23736,7 @@

                              Return Type
                              Type:
                              -

                              (list of) pdarray, Strings, or Categorical

                              +

                              (list of) pdarray, Strings, or Categorical

                              @@ -24700,7 +24706,7 @@

                              Return Type
                              Parameters:
                                -

                              • values (pdarray, Strings) – The values to put in each group’s segment

                                • +

                              • values (pdarray, Strings) – The values to put in each group’s segment

                              • permute (bool) – If True (default), permute broadcast values back to the ordering of the original array on which GroupBy was called. If False, the broadcast values are grouped by value.

                                • @@ -24710,7 +24716,7 @@

                                Return Type

                                The broadcasted values

                              Return type:
                              -

                              pdarray, Strings

                              +

                              pdarray, Strings

                              Raises:
                              @@ -24893,7 +24899,7 @@

                              Return Type

                              See also

                              -

                              register, unregister, attach, is_registered

                              +

                              register, unregister, attach, is_registered

                              @@ -24915,7 +24921,7 @@

                              Return Type
                              Parameters:
                              -
                              -
                              -encode(toEncoding: str, fromEncoding: str = 'UTF-8')#
                              -

                              Return a new strings object in toEncoding, expecting that the -current Strings is encoded in fromEncoding

                              +
                              +
                              +arkouda.ls_csv(filename: str, col_delim: str = ',') → List[str]#
                              +

                              Used for identifying the datasets within a file when a CSV does not +have a header.

                              Parameters:
                                -

                              • toEncoding (str) – The encoding that the strings will be converted to

                                • -

                              • fromEncoding (str) – The current encoding of the strings object, default to -UTF-8

                                • +

                              • filename (str) – The name of the file to pass to the server

                                • +

                              • col_delim (str) – The delimiter used to separate columns if the file is a csv

                              Returns:
                              -

                              A new Strings object in toEncoding

                              +

                              The string output of the datasets from the server

                              Return type:
                              -

                              Strings

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              +

                              str

                              +
                              +

                              See also

                              +

                              ls

                              +
                              -
                              -
                              -decode(fromEncoding, toEncoding='UTF-8')#
                              -

                              Return a new strings object in fromEncoding, expecting that the -current Strings is encoded in toEncoding

                              +
                              +
                              +arkouda.get_null_indices(filenames: str | List[str], datasets: str | List[str] | None = None) → arkouda.pdarrayclass.pdarray | Mapping[str, arkouda.pdarrayclass.pdarray]#
                              +

                              Get null indices of a string column in a Parquet file.

                              Parameters:
                                -

                              • fromEncoding (str) – The current encoding of the strings object

                                • -

                              • toEncoding (str) – The encoding that the strings will be converted to, -default to UTF-8

                                • +

                              • filenames (list or str) – Either a list of filenames or shell expression

                                • +

                              • datasets (list or str or None) – (List of) name(s) of dataset(s) to read. Each dataset must be a string +column. There is no default value for this function, the datasets to be +read must be specified.

                              Returns:
                              -

                              A new Strings object in toEncoding

                              -
                              -
                              Return type:
                              -

                              Strings

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              -
                              -
                              -
                              - -
                              -
                              -lower() → Strings#
                              -

                              Returns a new Strings with all uppercase characters from the original replaced with -their lowercase equivalent

                              -
                              -
                              Returns:
                              -

                              Strings with all uppercase characters from the original replaced with -their lowercase equivalent

                              -
                              -
                              Return type:
                              -

                              Strings

                              +

                                +

                              • For a single dataset returns an Arkouda pdarray and for multiple datasets

                                • +

                              • returns a dictionary of Arkouda pdarrays – Dictionary of {datasetName: pdarray}

                                • +
                              +

                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              +
                                +

                              • RuntimeError – Raised if one or more of the specified files cannot be opened.

                                • +

                              • TypeError – Raised if we receive an unknown arkouda_type returned from the server

                                • +

                              See also

                              -

                              Strings.upper

                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array([f'StrINgS {i}' for i in range(5)])
->>> strings
-array(['StrINgS 0', 'StrINgS 1', 'StrINgS 2', 'StrINgS 3', 'StrINgS 4'])
->>> strings.lower()
-array(['strings 0', 'strings 1', 'strings 2', 'strings 3', 'strings 4'])
-
                              +

                              get_datasets, ls

                              -
                              -
                              -upper() → Strings#
                              -

                              Returns a new Strings with all lowercase characters from the original replaced with -their uppercase equivalent

                              +
                              +
                              +arkouda.get_datasets(filenames: str | List[str], allow_errors: bool = False, column_delim: str = ',', read_nested: bool = True) → List[str]#
                              +

                              Get the names of the datasets in the provide files

                              -
                              Returns:
                              -

                              Strings with all lowercase characters from the original replaced with -their uppercase equivalent

                              +
                              Parameters:
                              +
                                +

                              • filenames (str or List[str]) – Name of the file/s from which to return datasets

                                • +

                              • allow_errors (bool) – Default: False +Whether or not to allow errors while accessing datasets

                                • +

                              • column_delim (str) – Column delimiter to be used if dataset is CSV. Otherwise, unused.

                                • +

                              • read_nested (bool) – Default True, when True, SegArray objects will be read from the file. When False, +SegArray (or other nested Parquet columns) will be ignored. +Only used for Parquet Files.

                                • +
                              Return type:
                              -

                              Strings

                              +

                              List[str] of names of the datasets

                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              +

                              RuntimeError –

                                +

                              • If no datasets are returned

                                • +
                              +

                              +

                              Notes

                              +
                                +

                              • This function currently supports HDF5 and Parquet formats.

                                • +

                              • Future updates to Parquet will deprecate this functionality on that format,

                                • +
                              +

                              but similar support will be added for Parquet at that time. +- If a list of files is provided, only the datasets in the first file will be returned

                              See also

                              -

                              Strings.lower

                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array([f'StrINgS {i}' for i in range(5)])
->>> strings
-array(['StrINgS 0', 'StrINgS 1', 'StrINgS 2', 'StrINgS 3', 'StrINgS 4'])
->>> strings.upper()
-array(['STRINGS 0', 'STRINGS 1', 'STRINGS 2', 'STRINGS 3', 'STRINGS 4'])
-
                              +

                              ls

                              -
                              -
                              -title() → Strings#
                              -

                              Returns a new Strings from the original replaced with their titlecase equivalent

                              +
                              +
                              +arkouda.get_columns(filenames: str | List[str], col_delim: str = ',', allow_errors: bool = False) → List[str]#
                              +

                              Get a list of column names from CSV file(s).

                              +
                              + +
                              +
                              +arkouda.read_hdf(filenames: str | List[str], datasets: str | List[str] | None = None, iterative: bool = False, strict_types: bool = True, allow_errors: bool = False, calc_string_offsets: bool = False, tag_data=False) → arkouda.pdarrayclass.pdarray | arkouda.strings.Strings | arkouda.segarray.SegArray | arkouda.array_view.ArrayView | arkouda.categorical.Categorical | arkouda.dataframe.DataFrame | arkouda.client_dtypes.IPv4 | arkouda.timeclass.Datetime | arkouda.timeclass.Timedelta | arkouda.index.Index | Mapping[str, arkouda.pdarrayclass.pdarray | arkouda.strings.Strings | arkouda.segarray.SegArray | arkouda.array_view.ArrayView | arkouda.categorical.Categorical | arkouda.dataframe.DataFrame | arkouda.client_dtypes.IPv4 | arkouda.timeclass.Datetime | arkouda.timeclass.Timedelta | arkouda.index.Index]#
                              +

                              Read Arkouda objects from HDF5 file/s

                              -
                              Returns:
                              -

                              Strings from the original replaced with their titlecase equivalent

                              +
                              Parameters:
                              +
                                +

                              • filenames (str, List[str]) – Filename/s to read objects from

                                • +

                              • datasets (Optional str, List[str]) – datasets to read from the provided files

                                • +

                              • iterative (bool) – Iterative (True) or Single (False) function call(s) to server

                                • +

                              • strict_types (bool) – If True (default), require all dtypes of a given dataset to have the +same precision and sign. If False, allow dtypes of different +precision and sign across different files. For example, if one +file contains a uint32 dataset and another contains an int64 +dataset with the same name, the contents of both will be read +into an int64 pdarray.

                                • +

                              • allow_errors (bool) – Default False, if True will allow files with read errors to be skipped +instead of failing. A warning will be included in the return containing +the total number of files skipped due to failure and up to 10 filenames.

                                • +

                              • calc_string_offsets (bool) – Default False, if True this will tell the server to calculate the +offsets/segments array on the server versus loading them from HDF5 files. +In the future this option may be set to True as the default.

                                • +

                              • tagData (bool) – Default False, if True tag the data with the code associated with the filename +that the data was pulled from.

                                • +
                              -
                              Return type:
                              -

                              Strings

                              +
                              Returns:
                              +

                                +

                              • For a single dataset returns an Arkouda pdarray, Arkouda Strings, Arkouda Segarrays,

                                • +

                              • or Arkouda ArrayViews. For multiple datasets returns a dictionary of Arkouda pdarrays,

                                • +

                              • Arkouda Strings, Arkouda Segarrays, or Arkouda ArrayViews. – Dictionary of {datasetName: pdarray, String, SegArray, or ArrayView}

                                • +
                              +

                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              +
                                +

                              • ValueError – Raised if all datasets are not present in all hdf5 files or if one or +more of the specified files do not exist

                                • +

                              • RuntimeError – Raised if one or more of the specified files cannot be opened. +If allow_errors is true this may be raised if no values are returned +from the server.

                                • +

                              • TypeError – Raised if we receive an unknown arkouda_type returned from the server

                                • +
                              +

                              Notes

                              +

                              If filenames is a string, it is interpreted as a shell expression +(a single filename is a valid expression, so it will work) and is +expanded with glob to read all matching files.

                              +

                              If iterative == True each dataset name and file names are passed to +the server as independent sequential strings while if iterative == False +all dataset names and file names are passed to the server in a single +string.

                              +

                              If datasets is None, infer the names of datasets from the first file +and read all of them. Use get_datasets to show the names of datasets +to HDF5 files.

                              See also

                              -

                              Strings.lower, String.upper

                              +

                              read_tagged_data

                              Examples

                              -
                              >>> strings = ak.array([f'StrINgS {i}' for i in range(5)])
->>> strings
-array(['StrINgS 0', 'StrINgS 1', 'StrINgS 2', 'StrINgS 3', 'StrINgS 4'])
->>> strings.title()
-array(['Strings 0', 'Strings 1', 'Strings 2', 'Strings 3', 'Strings 4'])
+
                              >>>
+# Read with file Extension
+>>> x = ak.read_hdf('path/name_prefix.h5') # load HDF5
+# Read Glob Expression
+>>> x = ak.read_hdf('path/name_prefix*') # Reads HDF5
                              -
                              -
                              -islower() → arkouda.pdarrayclass.pdarray#
                              -

                              Returns a boolean pdarray where index i indicates whether string i of the -Strings is entirely lowercase

                              +
                              +
                              +arkouda.read_parquet(filenames: str | List[str], datasets: str | List[str] | None = None, iterative: bool = False, strict_types: bool = True, allow_errors: bool = False, tag_data: bool = False, read_nested: bool = True) → arkouda.pdarrayclass.pdarray | arkouda.strings.Strings | arkouda.segarray.SegArray | arkouda.array_view.ArrayView | arkouda.categorical.Categorical | arkouda.dataframe.DataFrame | arkouda.client_dtypes.IPv4 | arkouda.timeclass.Datetime | arkouda.timeclass.Timedelta | arkouda.index.Index | Mapping[str, arkouda.pdarrayclass.pdarray | arkouda.strings.Strings | arkouda.segarray.SegArray | arkouda.array_view.ArrayView | arkouda.categorical.Categorical | arkouda.dataframe.DataFrame | arkouda.client_dtypes.IPv4 | arkouda.timeclass.Datetime | arkouda.timeclass.Timedelta | arkouda.index.Index]#
                              +

                              Read Arkouda objects from Parquet file/s

                              -
                              Returns:
                              -

                              True for elements that are entirely lowercase, False otherwise

                              +
                              Parameters:
                              +
                                +

                              • filenames (str, List[str]) – Filename/s to read objects from

                                • +

                              • datasets (Optional str, List[str]) – datasets to read from the provided files

                                • +

                              • iterative (bool) – Iterative (True) or Single (False) function call(s) to server

                                • +

                              • strict_types (bool) – If True (default), require all dtypes of a given dataset to have the +same precision and sign. If False, allow dtypes of different +precision and sign across different files. For example, if one +file contains a uint32 dataset and another contains an int64 +dataset with the same name, the contents of both will be read +into an int64 pdarray.

                                • +

                              • allow_errors (bool) – Default False, if True will allow files with read errors to be skipped +instead of failing. A warning will be included in the return containing +the total number of files skipped due to failure and up to 10 filenames.

                                • +

                              • tagData (bool) – Default False, if True tag the data with the code associated with the filename +that the data was pulled from.

                                • +

                              • read_nested (bool) – Default True, when True, SegArray objects will be read from the file. When False, +SegArray (or other nested Parquet columns) will be ignored. +If datasets is not None, this will be ignored.

                                • +
                              -
                              Return type:
                              -

                              pdarray, bool

                              +
                              Returns:
                              +

                                +

                              • For a single dataset returns an Arkouda pdarray, Arkouda Strings, or Arkouda ArrayView object

                                • +

                              • and for multiple datasets returns a dictionary of Arkouda pdarrays,

                                • +

                              • Arkouda Strings or Arkouda ArrayView. – Dictionary of {datasetName: pdarray or String}

                                • +
                              +

                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              +
                                +

                              • ValueError – Raised if all datasets are not present in all parquet files or if one or +more of the specified files do not exist

                                • +

                              • RuntimeError – Raised if one or more of the specified files cannot be opened. +If allow_errors is true this may be raised if no values are returned +from the server.

                                • +

                              • TypeError – Raised if we receive an unknown arkouda_type returned from the server

                                • +
                              +

                              Notes

                              +

                              If filenames is a string, it is interpreted as a shell expression +(a single filename is a valid expression, so it will work) and is +expanded with glob to read all matching files.

                              +

                              If iterative == True each dataset name and file names are passed to +the server as independent sequential strings while if iterative == False +all dataset names and file names are passed to the server in a single +string.

                              +

                              If datasets is None, infer the names of datasets from the first file +and read all of them. Use get_datasets to show the names of datasets +to Parquet files.

                              +

                              Parquet always recomputes offsets at this time +This will need to be updated once parquets workflow is updated

                              See also

                              -

                              Strings.isupper

                              -
                              -

                              Examples

                              -
                              >>> lower = ak.array([f'strings {i}' for i in range(3)])
->>> upper = ak.array([f'STRINGS {i}' for i in range(3)])
->>> strings = ak.concatenate([lower, upper])
->>> strings
-array(['strings 0', 'strings 1', 'strings 2', 'STRINGS 0', 'STRINGS 1', 'STRINGS 2'])
->>> strings.islower()
-array([True True True False False False])
-
                              -
                              -
                              - -
                              -
                              -isupper() → arkouda.pdarrayclass.pdarray#
                              -

                              Returns a boolean pdarray where index i indicates whether string i of the -Strings is entirely uppercase

                              -
                              -
                              Returns:
                              -

                              True for elements that are entirely uppercase, False otherwise

                              -
                              -
                              Return type:
                              -

                              pdarray, bool

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.islower

                              -
                              -

                              Examples

                              -
                              >>> lower = ak.array([f'strings {i}' for i in range(3)])
->>> upper = ak.array([f'STRINGS {i}' for i in range(3)])
->>> strings = ak.concatenate([lower, upper])
->>> strings
-array(['strings 0', 'strings 1', 'strings 2', 'STRINGS 0', 'STRINGS 1', 'STRINGS 2'])
->>> strings.isupper()
-array([False False False True True True])
-
                              -
                              -
                              - -
                              -
                              -istitle() → arkouda.pdarrayclass.pdarray#
                              -

                              Returns a boolean pdarray where index i indicates whether string i of the -Strings is titlecase

                              -
                              -
                              Returns:
                              -

                              True for elements that are titlecase, False otherwise

                              -
                              -
                              Return type:
                              -

                              pdarray, bool

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.islower, Strings.isupper

                              -
                              -

                              Examples

                              -
                              >>> mixed = ak.array([f'sTrINgs {i}' for i in range(3)])
->>> title = ak.array([f'Strings {i}' for i in range(3)])
->>> strings = ak.concatenate([mixed, title])
->>> strings
-array(['sTrINgs 0', 'sTrINgs 1', 'sTrINgs 2', 'Strings 0', 'Strings 1', 'Strings 2'])
->>> strings.istitle()
-array([False False False True True True])
-
                              -
                              -
                              - -
                              -
                              -isalnum() → arkouda.pdarrayclass.pdarray#
                              -

                              Returns a boolean pdarray where index i indicates whether string i of the -Strings is alphanumeric.

                              -
                              -
                              Returns:
                              -

                              True for elements that are alphanumeric, False otherwise

                              -
                              -
                              Return type:
                              -

                              pdarray, bool

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.islower, Strings.isupper, Strings.istitle

                              -
                              -

                              Examples

                              -
                              >>> not_alnum = ak.array([f'%Strings {i}' for i in range(3)])
->>> alnum = ak.array([f'Strings{i}' for i in range(3)])
->>> strings = ak.concatenate([not_alnum, alnum])
->>> strings
-array(['%Strings 0', '%Strings 1', '%Strings 2', 'Strings0', 'Strings1', 'Strings2'])
->>> strings.isalnum()
-array([False False False True True True])
-
                              -
                              -
                              - -
                              -
                              -isalpha() → arkouda.pdarrayclass.pdarray#
                              -

                              Returns a boolean pdarray where index i indicates whether string i of the -Strings is alphabetic. This means there is at least one character, -and all the characters are alphabetic.

                              -
                              -
                              Returns:
                              -

                              True for elements that are alphabetic, False otherwise

                              -
                              -
                              Return type:
                              -

                              pdarray, bool

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.islower, Strings.isupper, Strings.istitle, Strings.isalnum

                              -
                              -

                              Examples

                              -
                              >>> not_alpha = ak.array([f'%Strings {i}' for i in range(3)])
->>> alpha = ak.array(['StringA','StringB','StringC'])
->>> strings = ak.concatenate([not_alpha, alpha])
->>> strings
-array(['%Strings 0', '%Strings 1', '%Strings 2', 'StringA','StringB','StringC'])
->>> strings.isalpha()
-array([False False False True True True])
-
                              -
                              -
                              - -
                              -
                              -isdigit() → arkouda.pdarrayclass.pdarray#
                              -

                              Returns a boolean pdarray where index i indicates whether string i of the -Strings has all digit characters.

                              -
                              -
                              Returns:
                              -

                              True for elements that are digits, False otherwise

                              -
                              -
                              Return type:
                              -

                              pdarray, bool

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.islower, Strings.isupper, Strings.istitle

                              -
                              -

                              Examples

                              -
                              >>> not_digit = ak.array([f'Strings {i}' for i in range(3)])
->>> digit = ak.array([f'12{i}' for i in range(3)])
->>> strings = ak.concatenate([not_digit, digit])
->>> strings
-array(['Strings 0', 'Strings 1', 'Strings 2', '120', '121', '122'])
->>> strings.isdigit()
-array([False False False True True True])
-
                              -
                              -
                              - -
                              -
                              -strip(chars: bytes | arkouda.dtypes.str_scalars | None = '') → Strings#
                              -

                              Returns a new Strings object with all leading and trailing occurrences of characters contained -in chars removed. The chars argument is a string specifying the set of characters to be removed. -If omitted, the chars argument defaults to removing whitespace. The chars argument is not a -prefix or suffix; rather, all combinations of its values are stripped.

                              -
                              -
                              Parameters:
                              -

                              chars – the set of characters to be removed

                              -
                              -
                              Returns:
                              -

                              Strings object with the leading and trailing characters matching the set of characters in -the chars argument removed

                              -
                              -
                              Return type:
                              -

                              Strings

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error thrown

                              -
                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array(['Strings ', '  StringS  ', 'StringS   '])
->>> s = strings.strip()
->>> s
-array(['Strings', 'StringS', 'StringS'])
-
                              -
                              -
                              >>> strings = ak.array(['Strings 1', '1 StringS  ', '  1StringS  12 '])
->>> s = strings.strip(' 12')
->>> s
-array(['Strings', 'StringS', 'StringS'])
-
                              -
                              -
                              - -
                              -
                              -cached_regex_patterns() → List#
                              -

                              Returns the regex patterns for which Match objects have been cached

                              -
                              - -
                              -
                              -purge_cached_regex_patterns() → None#
                              -

                              purges cached regex patterns

                              -
                              - -
                              -
                              -find_locations(pattern: bytes | arkouda.dtypes.str_scalars) → Tuple[arkouda.pdarrayclass.pdarray, arkouda.pdarrayclass.pdarray, arkouda.pdarrayclass.pdarray]#
                              -

                              Finds pattern matches and returns pdarrays containing the number, start postitions, -and lengths of matches

                              -
                              -
                              Parameters:
                              -

                              pattern (str_scalars) – The regex pattern used to find matches

                              -
                              -
                              Returns:
                              -

                                -

                              • pdarray, int64 – For each original string, the number of pattern matches

                                • -

                              • pdarray, int64 – The start positons of pattern matches

                                • -

                              • pdarray, int64 – The lengths of pattern matches

                                • -
                              -

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if the pattern parameter is not bytes or str_scalars

                                • -

                              • ValueError – Raised if pattern is not a valid regex

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.findall, Strings.match

                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array([f'{i} string {i}' for i in range(1, 6)])
->>> num_matches, starts, lens = strings.find_locations('\d')
->>> num_matches
-array([2, 2, 2, 2, 2])
->>> starts
-array([0, 9, 0, 9, 0, 9, 0, 9, 0, 9])
->>> lens
-array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1]))
-
                              -
                              -
                              - -
                              -
                              -search(pattern: bytes | arkouda.dtypes.str_scalars) → arkouda.match.Match#
                              -

                              Returns a match object with the first location in each element where pattern produces a match. -Elements match if any part of the string matches the regular expression pattern

                              -
                              -
                              Parameters:
                              -

                              pattern (str) – Regex used to find matches

                              -
                              -
                              Returns:
                              -

                              Match object where elements match if any part of the string matches the -regular expression pattern

                              -
                              -
                              Return type:
                              -

                              Match

                              -
                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', ''])
->>> strings.search('_+')
-<ak.Match object: matched=True, span=(1, 2); matched=True, span=(0, 4);
-matched=False; matched=True, span=(0, 2); matched=False>
-
                              -
                              -
                              - -
                              -
                              -match(pattern: bytes | arkouda.dtypes.str_scalars) → arkouda.match.Match#
                              -

                              Returns a match object where elements match only if the beginning of the string matches the -regular expression pattern

                              -
                              -
                              Parameters:
                              -

                              pattern (str) – Regex used to find matches

                              -
                              -
                              Returns:
                              -

                              Match object where elements match only if the beginning of the string matches the -regular expression pattern

                              -
                              -
                              Return type:
                              -

                              Match

                              -
                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', ''])
->>> strings.match('_+')
-<ak.Match object: matched=False; matched=True, span=(0, 4); matched=False;
-matched=True, span=(0, 2); matched=False>
-
                              -
                              -
                              - -
                              -
                              -fullmatch(pattern: bytes | arkouda.dtypes.str_scalars) → arkouda.match.Match#
                              -

                              Returns a match object where elements match only if the whole string matches the -regular expression pattern

                              -
                              -
                              Parameters:
                              -

                              pattern (str) – Regex used to find matches

                              -
                              -
                              Returns:
                              -

                              Match object where elements match only if the whole string matches the -regular expression pattern

                              -
                              -
                              Return type:
                              -

                              Match

                              -
                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', ''])
->>> strings.fullmatch('_+')
-<ak.Match object: matched=False; matched=True, span=(0, 4); matched=False;
-matched=False; matched=False>
-
                              -
                              -
                              - -
                              -
                              -split(pattern: bytes | arkouda.dtypes.str_scalars, maxsplit: int = 0, return_segments: bool = False) → Strings | Tuple#
                              -

                              Returns a new Strings split by the occurrences of pattern. -If maxsplit is nonzero, at most maxsplit splits occur

                              -
                              -
                              Parameters:
                              -
                                -

                              • pattern (str) – Regex used to split strings into substrings

                                • -

                              • maxsplit (int) – The max number of pattern match occurences in each element to split. -The default maxsplit=0 splits on all occurences

                                • -

                              • return_segments (bool) – If True, return mapping of original strings to first substring -in return array.

                                • -
                              -
                              -
                              Returns:
                              -

                                -

                              • Strings – Substrings with pattern matches removed

                                • -

                              • pdarray, int64 (optional) – For each original string, the index of first corresponding substring -in the return array

                                • -
                              -

                              -
                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', ''])
->>> strings.split('_+', maxsplit=2, return_segments=True)
-(array(['1', '2', '', '', '', '3', '', '4', '5____6___7', '']), array([0 3 5 6 9]))
-
                              -
                              -
                              - -
                              -
                              -findall(pattern: bytes | arkouda.dtypes.str_scalars, return_match_origins: bool = False) → Strings | Tuple#
                              -

                              Return a new Strings containg all non-overlapping matches of pattern

                              -
                              -
                              Parameters:
                              -
                                -

                              • pattern (str_scalars) – Regex used to find matches

                                • -

                              • return_match_origins (bool) – If True, return a pdarray containing the index of the original string each -pattern match is from

                                • -
                              -
                              -
                              Returns:
                              -

                                -

                              • Strings – Strings object containing only pattern matches

                                • -

                              • pdarray, int64 (optional) – The index of the original string each pattern match is from

                                • -
                              -

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if the pattern parameter is not bytes or str_scalars

                                • -

                              • ValueError – Raised if pattern is not a valid regex

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.find_locations

                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', ''])
->>> strings.findall('_+', return_match_origins=True)
-(array(['_', '___', '____', '__', '___', '____', '___']), array([0 0 1 3 3 3 3]))
-
                              -
                              -
                              - -
                              -
                              -sub(pattern: bytes | arkouda.dtypes.str_scalars, repl: bytes | arkouda.dtypes.str_scalars, count: int = 0) → Strings#
                              -

                              Return new Strings obtained by replacing non-overlapping occurrences of pattern with the -replacement repl. -If count is nonzero, at most count substitutions occur

                              -
                              -
                              Parameters:
                              -
                                -

                              • pattern (str_scalars) – The regex to substitue

                                • -

                              • repl (str_scalars) – The substring to replace pattern matches with

                                • -

                              • count (int) – The max number of pattern match occurences in each element to replace. -The default count=0 replaces all occurences of pattern with repl

                                • -
                              -
                              -
                              Returns:
                              -

                              Strings with pattern matches replaced

                              -
                              -
                              Return type:
                              -

                              Strings

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if pattern or repl are not bytes or str_scalars

                                • -

                              • ValueError – Raised if pattern is not a valid regex

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.subn

                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', ''])
->>> strings.sub(pattern='_+', repl='-', count=2)
-array(['1-2-', '-', '3', '-4-5____6___7', ''])
-
                              -
                              -
                              - -
                              -
                              -subn(pattern: bytes | arkouda.dtypes.str_scalars, repl: bytes | arkouda.dtypes.str_scalars, count: int = 0) → Tuple#
                              -

                              Perform the same operation as sub(), but return a tuple (new_Strings, number_of_substitions)

                              -
                              -
                              Parameters:
                              -
                                -

                              • pattern (str_scalars) – The regex to substitue

                                • -

                              • repl (str_scalars) – The substring to replace pattern matches with

                                • -

                              • count (int) – The max number of pattern match occurences in each element to replace. -The default count=0 replaces all occurences of pattern with repl

                                • -
                              -
                              -
                              Returns:
                              -

                                -

                              • Strings – Strings with pattern matches replaced

                                • -

                              • pdarray, int64 – The number of substitutions made for each element of Strings

                                • -
                              -

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if pattern or repl are not bytes or str_scalars

                                • -

                              • ValueError – Raised if pattern is not a valid regex

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.sub

                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array(['1_2___', '____', '3', '__4___5____6___7', ''])
->>> strings.subn(pattern='_+', repl='-', count=2)
-(array(['1-2-', '-', '3', '-4-5____6___7', '']), array([2 1 0 2 0]))
-
                              -
                              -
                              - -
                              -
                              -contains(substr: bytes | arkouda.dtypes.str_scalars, regex: bool = False) → arkouda.pdarrayclass.pdarray#
                              -

                              Check whether each element contains the given substring.

                              -
                              -
                              Parameters:
                              -
                                -

                              • substr (str_scalars) – The substring in the form of string or byte array to search for

                                • -

                              • regex (bool) – Indicates whether substr is a regular expression -Note: only handles regular expressions supported by re2 -(does not support lookaheads/lookbehinds)

                                • -
                              -
                              -
                              Returns:
                              -

                              True for elements that contain substr, False otherwise

                              -
                              -
                              Return type:
                              -

                              pdarray, bool

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if the substr parameter is not bytes or str_scalars

                                • -

                              • ValueError – Rasied if substr is not a valid regex

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.startswith, Strings.endswith

                              -
                              -

                              Examples

                              -
                              >>> strings = ak.array([f'{i} string {i}' for i in range(1, 6)])
->>> strings
-array(['1 string 1', '2 string 2', '3 string 3', '4 string 4', '5 string 5'])
->>> strings.contains('string')
-array([True, True, True, True, True])
->>> strings.contains('string \d', regex=True)
-array([True, True, True, True, True])
-
                              -
                              -
                              - -
                              -
                              -startswith(substr: bytes | arkouda.dtypes.str_scalars, regex: bool = False) → arkouda.pdarrayclass.pdarray#
                              -

                              Check whether each element starts with the given substring.

                              -
                              -
                              Parameters:
                              -
                                -

                              • substr (Union[bytes, str_scalars]) – The prefix to search for

                                • -

                              • regex (bool) – Indicates whether substr is a regular expression -Note: only handles regular expressions supported by re2 -(does not support lookaheads/lookbehinds)

                                • -
                              -
                              -
                              Returns:
                              -

                              True for elements that start with substr, False otherwise

                              -
                              -
                              Return type:
                              -

                              pdarray, bool

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if the substr parameter is not a bytes ior str_scalars

                                • -

                              • ValueError – Rasied if substr is not a valid regex

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.contains, Strings.endswith

                              -
                              -

                              Examples

                              -
                              >>> strings_end = ak.array([f'string {i}' for i in range(1, 6)])
->>> strings_end
-array(['string 1', 'string 2', 'string 3', 'string 4', 'string 5'])
->>> strings_end.startswith('string')
-array([True, True, True, True, True])
->>> strings_start = ak.array([f'{i} string' for i in range(1,6)])
->>> strings_start
-array(['1 string', '2 string', '3 string', '4 string', '5 string'])
->>> strings_start.startswith('\d str', regex = True)
-array([True, True, True, True, True])
-
                              -
                              -
                              - -
                              -
                              -endswith(substr: bytes | arkouda.dtypes.str_scalars, regex: bool = False) → arkouda.pdarrayclass.pdarray#
                              -

                              Check whether each element ends with the given substring.

                              -
                              -
                              Parameters:
                              -
                                -

                              • substr (Union[bytes, str_scalars]) – The suffix to search for

                                • -

                              • regex (bool) – Indicates whether substr is a regular expression -Note: only handles regular expressions supported by re2 -(does not support lookaheads/lookbehinds)

                                • -
                              -
                              -
                              Returns:
                              -

                              True for elements that end with substr, False otherwise

                              -
                              -
                              Return type:
                              -

                              pdarray, bool

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if the substr parameter is not bytes or str_scalars

                                • -

                              • ValueError – Rasied if substr is not a valid regex

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              Strings.contains, Strings.startswith

                              -
                              -

                              Examples

                              -
                              >>> strings_start = ak.array([f'{i} string' for i in range(1,6)])
->>> strings_start
-array(['1 string', '2 string', '3 string', '4 string', '5 string'])
->>> strings_start.endswith('ing')
-array([True, True, True, True, True])
->>> strings_end = ak.array([f'string {i}' for i in range(1, 6)])
->>> strings_end
-array(['string 1', 'string 2', 'string 3', 'string 4', 'string 5'])
->>> strings_end.endswith('ing \d', regex = True)
-array([True, True, True, True, True])
-
                              -
                              -
                              - -
                              -
                              -flatten(delimiter: str, return_segments: bool = False, regex: bool = False) → Strings | Tuple#
                              -

                              Unpack delimiter-joined substrings into a flat array.

                              -
                              -
                              Parameters:
                              -
                                -

                              • delimiter (str) – Characters used to split strings into substrings

                                • -

                              • return_segments (bool) – If True, also return mapping of original strings to first substring -in return array.

                                • -

                              • regex (bool) – Indicates whether delimiter is a regular expression -Note: only handles regular expressions supported by re2 -(does not support lookaheads/lookbehinds)

                                • -
                              -
                              -
                              Returns:
                              -

                                -

                              • Strings – Flattened substrings with delimiters removed

                                • -

                              • pdarray, int64 (optional) – For each original string, the index of first corresponding substring -in the return array

                                • -
                              -

                              -
                              -
                              -
                              -

                              See also

                              -

                              peel, rpeel

                              -
                              -

                              Examples

                              -
                              >>> orig = ak.array(['one|two', 'three|four|five', 'six'])
->>> orig.flatten('|')
-array(['one', 'two', 'three', 'four', 'five', 'six'])
->>> flat, map = orig.flatten('|', return_segments=True)
->>> map
-array([0, 2, 5])
->>> under = ak.array(['one_two', 'three_____four____five', 'six'])
->>> under_flat, under_map = under.flatten('_+', return_segments=True, regex=True)
->>> under_flat
-array(['one', 'two', 'three', 'four', 'five', 'six'])
->>> under_map
-array([0, 2, 5])
-
                              -
                              -
                              - -
                              -
                              -peel(delimiter: bytes | arkouda.dtypes.str_scalars, times: arkouda.dtypes.int_scalars = 1, includeDelimiter: bool = False, keepPartial: bool = False, fromRight: bool = False, regex: bool = False) → Tuple#
                              -

                              Peel off one or more delimited fields from each string (similar -to string.partition), returning two new arrays of strings. -Warning: This function is experimental and not guaranteed to work.

                              -
                              -
                              Parameters:
                              -
                                -

                              • delimiter (Union[bytes, str_scalars]) – The separator where the split will occur

                                • -

                              • times (Union[int, np.int64]) – The number of times the delimiter is sought, i.e. skip over -the first (times-1) delimiters

                                • -

                              • includeDelimiter (bool) – If true, append the delimiter to the end of the first return -array. By default, it is prepended to the beginning of the -second return array.

                                • -

                              • keepPartial (bool) – If true, a string that does not contain <times> instances of -the delimiter will be returned in the first array. By default, -such strings are returned in the second array.

                                • -

                              • fromRight (bool) – If true, peel from the right instead of the left (see also rpeel)

                                • -

                              • regex (bool) – Indicates whether delimiter is a regular expression -Note: only handles regular expressions supported by re2 -(does not support lookaheads/lookbehinds)

                                • -
                              -
                              -
                              Returns:
                              -

                              -
                              left: Strings

                              The field(s) peeled from the end of each string (unless -fromRight is true)

                              -
                              -
                              right: Strings

                              The remainder of each string after peeling (unless fromRight -is true)

                              -
                              -
                              -

                              -
                              -
                              Return type:
                              -

                              Tuple[Strings, Strings]

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if the delimiter parameter is not byte or str_scalars, if -times is not int64, or if includeDelimiter, keepPartial, or -fromRight is not bool

                                • -

                              • ValueError – Raised if times is < 1 or if delimiter is not a valid regex

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              rpeel, stick, lstick

                              -
                              -

                              Examples

                              -
                              >>> s = ak.array(['a.b', 'c.d', 'e.f.g'])
->>> s.peel('.')
-(array(['a', 'c', 'e']), array(['b', 'd', 'f.g']))
->>> s.peel('.', includeDelimiter=True)
-(array(['a.', 'c.', 'e.']), array(['b', 'd', 'f.g']))
->>> s.peel('.', times=2)
-(array(['', '', 'e.f']), array(['a.b', 'c.d', 'g']))
->>> s.peel('.', times=2, keepPartial=True)
-(array(['a.b', 'c.d', 'e.f']), array(['', '', 'g']))
-
                              -
                              -
                              - -
                              -
                              -rpeel(delimiter: bytes | arkouda.dtypes.str_scalars, times: arkouda.dtypes.int_scalars = 1, includeDelimiter: bool = False, keepPartial: bool = False, regex: bool = False)#
                              -

                              Peel off one or more delimited fields from the end of each string -(similar to string.rpartition), returning two new arrays of strings. -Warning: This function is experimental and not guaranteed to work.

                              -
                              -
                              Parameters:
                              -
                                -

                              • delimiter (Union[bytes, str_scalars]) – The separator where the split will occur

                                • -

                              • times (Union[int, np.int64]) – The number of times the delimiter is sought, i.e. skip over -the last (times-1) delimiters

                                • -

                              • includeDelimiter (bool) – If true, prepend the delimiter to the start of the first return -array. By default, it is appended to the end of the -second return array.

                                • -

                              • keepPartial (bool) – If true, a string that does not contain <times> instances of -the delimiter will be returned in the second array. By default, -such strings are returned in the first array.

                                • -

                              • regex (bool) – Indicates whether delimiter is a regular expression -Note: only handles regular expressions supported by re2 -(does not support lookaheads/lookbehinds)

                                • -
                              -
                              -
                              Returns:
                              -

                              -
                              left: Strings

                              The remainder of the string after peeling

                              -
                              -
                              right: Strings

                              The field(s) that were peeled from the right of each string

                              -
                              -
                              -

                              -
                              -
                              Return type:
                              -

                              Tuple[Strings, Strings]

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if the delimiter parameter is not bytes or str_scalars or -if times is not int64

                                • -

                              • ValueError – Raised if times is < 1 or if delimiter is not a valid regex

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              peel, stick, lstick

                              -
                              -

                              Examples

                              -
                              >>> s = ak.array(['a.b', 'c.d', 'e.f.g'])
->>> s.rpeel('.')
-(array(['a', 'c', 'e.f']), array(['b', 'd', 'g']))
-# Compared against peel
->>> s.peel('.')
-(array(['a', 'c', 'e']), array(['b', 'd', 'f.g']))
-
                              -
                              -
                              - -
                              -
                              -stick(other: Strings, delimiter: bytes | arkouda.dtypes.str_scalars = '', toLeft: bool = False) → Strings#
                              -

                              Join the strings from another array onto one end of the strings -of this array, optionally inserting a delimiter. -Warning: This function is experimental and not guaranteed to work.

                              -
                              -
                              Parameters:
                              -
                                -

                              • other (Strings) – The strings to join onto self’s strings

                                • -

                              • delimiter (str) – String inserted between self and other

                                • -

                              • toLeft (bool) – If true, join other strings to the left of self. By default, -other is joined to the right of self.

                                • -
                              -
                              -
                              Returns:
                              -

                              The array of joined strings

                              -
                              -
                              Return type:
                              -

                              Strings

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if the delimiter parameter is not bytes or str_scalars -or if the other parameter is not a Strings instance

                                • -

                              • ValueError – Raised if times is < 1

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              lstick, peel, rpeel

                              -
                              -

                              Examples

                              -
                              >>> s = ak.array(['a', 'c', 'e'])
->>> t = ak.array(['b', 'd', 'f'])
->>> s.stick(t, delimiter='.')
-array(['a.b', 'c.d', 'e.f'])
-
                              -
                              -
                              - -
                              -
                              -lstick(other: Strings, delimiter: bytes | arkouda.dtypes.str_scalars = '') → Strings#
                              -

                              Join the strings from another array onto the left of the strings -of this array, optionally inserting a delimiter. -Warning: This function is experimental and not guaranteed to work.

                              -
                              -
                              Parameters:
                              -
                                -

                              • other (Strings) – The strings to join onto self’s strings

                                • -

                              • delimiter (Union[bytes,str_scalars]) – String inserted between self and other

                                • -
                              -
                              -
                              Returns:
                              -

                              The array of joined strings, as other + self

                              -
                              -
                              Return type:
                              -

                              Strings

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if the delimiter parameter is neither bytes nor a str -or if the other parameter is not a Strings instance

                                • -

                              • RuntimeError – Raised if there is a server-side error thrown

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              stick, peel, rpeel

                              -
                              -

                              Examples

                              -
                              >>> s = ak.array(['a', 'c', 'e'])
->>> t = ak.array(['b', 'd', 'f'])
->>> s.lstick(t, delimiter='.')
-array(['b.a', 'd.c', 'f.e'])
-
                              -
                              -
                              - -
                              -
                              -get_prefixes(n: arkouda.dtypes.int_scalars, return_origins: bool = True, proper: bool = True) → Strings | Tuple[Strings, arkouda.pdarrayclass.pdarray]#
                              -

                              Return the n-long prefix of each string, where possible

                              -
                              -
                              Parameters:
                              -
                                -

                              • n (int) – Length of prefix

                                • -

                              • return_origins (bool) – If True, return a logical index indicating which strings -were long enough to return an n-prefix

                                • -

                              • proper (bool) – If True, only return proper prefixes, i.e. from strings -that are at least n+1 long. If False, allow the entire -string to be returned as a prefix.

                                • -
                              -
                              -
                              Returns:
                              -

                                -

                              • prefixes (Strings) – The array of n-character prefixes; the number of elements is the number of -True values in the returned mask.

                                • -

                              • origin_indices (pdarray, bool) – Boolean array that is True where the string was long enough to return -an n-character prefix, False otherwise.

                                • -
                              -

                              -
                              -
                              -
                              - -
                              -
                              -get_suffixes(n: arkouda.dtypes.int_scalars, return_origins: bool = True, proper: bool = True) → Strings | Tuple[Strings, arkouda.pdarrayclass.pdarray]#
                              -

                              Return the n-long suffix of each string, where possible

                              -
                              -
                              Parameters:
                              -
                                -

                              • n (int) – Length of suffix

                                • -

                              • return_origins (bool) – If True, return a logical index indicating which strings -were long enough to return an n-suffix

                                • -

                              • proper (bool) – If True, only return proper suffixes, i.e. from strings -that are at least n+1 long. If False, allow the entire -string to be returned as a suffix.

                                • -
                              -
                              -
                              Returns:
                              -

                                -

                              • suffixes (Strings) – The array of n-character suffixes; the number of elements is the number of -True values in the returned mask.

                                • -

                              • origin_indices (pdarray, bool) – Boolean array that is True where the string was long enough to return -an n-character suffix, False otherwise.

                                • -
                              -

                              -
                              -
                              -
                              - -
                              -
                              -hash() → Tuple[arkouda.pdarrayclass.pdarray, arkouda.pdarrayclass.pdarray]#
                              -

                              Compute a 128-bit hash of each string.

                              -
                              -
                              Returns:
                              -

                              A tuple of two int64 pdarrays. The ith hash value is the concatenation -of the ith values from each array.

                              -
                              -
                              Return type:
                              -

                              Tuple[pdarray,pdarray]

                              -
                              -
                              -

                              Notes

                              -

                              The implementation uses SipHash128, a fast and balanced hash function (used -by Python for dictionaries and sets). For realistic numbers of strings (up -to about 10**15), the probability of a collision between two 128-bit hash -values is negligible.

                              -
                              - -
                              -
                              -group() → arkouda.pdarrayclass.pdarray#
                              -

                              Return the permutation that groups the array, placing equivalent -strings together. All instances of the same string are guaranteed to lie -in one contiguous block of the permuted array, but the blocks are not -necessarily ordered.

                              -
                              -
                              Returns:
                              -

                              The permutation that groups the array by value

                              -
                              -
                              Return type:
                              -

                              pdarray

                              -
                              -
                              -
                              -

                              See also

                              -

                              GroupBy, unique

                              -
                              -

                              Notes

                              -

                              If the arkouda server is compiled with “-sSegmentedString.useHash=true”, -then arkouda uses 128-bit hash values to group strings, rather than sorting -the strings directly. This method is fast, but the resulting permutation -merely groups equivalent strings and does not sort them. If the “useHash” -parameter is false, then a full sort is performed.

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there is a server-side error in executing group request or -creating the pdarray encapsulating the return message

                              -
                              -
                              -
                              - -
                              -
                              -to_ndarray() → numpy.ndarray#
                              -

                              Convert the array to a np.ndarray, transferring array data from the -arkouda server to Python. If the array exceeds a built-in size limit, -a RuntimeError is raised.

                              -
                              -
                              Returns:
                              -

                              A numpy ndarray with the same strings as this array

                              -
                              -
                              Return type:
                              -

                              np.ndarray

                              -
                              -
                              -

                              Notes

                              -

                              The number of bytes in the array cannot exceed ak.client.maxTransferBytes, -otherwise a RuntimeError will be raised. This is to protect the user -from overflowing the memory of the system on which the Python client -is running, under the assumption that the server is running on a -distributed system with much more memory than the client. The user -may override this limit by setting ak.client.maxTransferBytes to a larger -value, but proceed with caution.

                              -
                              -

                              See also

                              -

                              array, to_list

                              -
                              -

                              Examples

                              -
                              >>> a = ak.array(["hello", "my", "world"])
->>> a.to_ndarray()
-array(['hello', 'my', 'world'], dtype='<U5')
->>> type(a.to_ndarray())
-numpy.ndarray
-
                              -
                              -
                              - -
                              -
                              -to_list() → list#
                              -

                              Convert the SegString to a list, transferring data from the -arkouda server to Python. If the SegString exceeds a built-in size limit, -a RuntimeError is raised.

                              -
                              -
                              Returns:
                              -

                              A list with the same strings as this SegString

                              -
                              -
                              Return type:
                              -

                              list

                              -
                              -
                              -

                              Notes

                              -

                              The number of bytes in the array cannot exceed ak.client.maxTransferBytes, -otherwise a RuntimeError will be raised. This is to protect the user -from overflowing the memory of the system on which the Python client -is running, under the assumption that the server is running on a -distributed system with much more memory than the client. The user -may override this limit by setting ak.client.maxTransferBytes to a larger -value, but proceed with caution.

                              -
                              -

                              See also

                              -

                              to_ndarray

                              -
                              -

                              Examples

                              -
                              >>> a = ak.array(["hello", "my", "world"])
->>> a.to_list()
-['hello', 'my', 'world']
->>> type(a.to_list())
-list
-
                              -
                              -
                              - -
                              -
                              -astype(dtype) → arkouda.pdarrayclass.pdarray#
                              -

                              Cast values of Strings object to provided dtype

                              -
                              -
                              Parameters:
                              -

                              dtype (np.dtype or str) – Dtype to cast to

                              -
                              -
                              Returns:
                              -

                              An arkouda pdarray with values converted to the specified data type

                              -
                              -
                              Return type:
                              -

                              ak.pdarray

                              -
                              -
                              -

                              Notes

                              -

                              This is essentially shorthand for ak.cast(x, ‘<dtype>’) where x is a pdarray.

                              -
                              - -
                              -
                              -to_parquet(prefix_path: str, dataset: str = 'strings_array', mode: str = 'truncate', compression: str | None = None) → str#
                              -

                              Save the Strings object to Parquet. The result is a collection of files, -one file per locale of the arkouda server, where each filename starts -with prefix_path. Each locale saves its chunk of the array to its -corresponding file. -:param prefix_path: Directory and filename prefix that all output files share -:type prefix_path: str -:param dataset: Name of the dataset to create in files (must not already exist) -:type dataset: str -:param mode: By default, truncate (overwrite) output files, if they exist.

                              -
                              -

                              If ‘append’, attempt to create new dataset in existing files.

                              -
                              -
                              -
                              Parameters:
                              -

                              compression (str (Optional)) – (None | “snappy” | “gzip” | “brotli” | “zstd” | “lz4”) -Sets the compression type used with Parquet files

                              -
                              -
                              Return type:
                              -

                              string message indicating result of save operation

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if a server-side error is thrown saving the pdarray

                              -
                              -
                              -

                              Notes

                              -
                                -

                              • The prefix_path must be visible to the arkouda server and the user must

                                • -
                              -

                              have write permission. -- Output files have names of the form <prefix_path>_LOCALE<i>, where <i> -ranges from 0 to numLocales for file_type=’distribute’. -- ‘append’ write mode is supported, but is not efficient. -- If any of the output files already exist and -the mode is ‘truncate’, they will be overwritten. If the mode is ‘append’ -and the number of output files is less than the number of locales or a -dataset with the same name already exists, a RuntimeError will result. -- Any file extension can be used.The file I/O does not rely on the extension to -determine the file format.

                              -
                              - -
                              -
                              -to_hdf(prefix_path: str, dataset: str = 'strings_array', mode: str = 'truncate', save_offsets: bool = True, file_type: str = 'distribute') → str#
                              -

                              Save the Strings object to HDF5. -The object can be saved to a collection of files or single file.

                              -
                              -
                              Parameters:
                              -
                                -

                              • prefix_path (str) – Directory and filename prefix that all output files share

                                • -

                              • dataset (str) – The name of the Strings dataset to be written, defaults to strings_array

                                • -

                              • mode (str {'truncate' | 'append'}) – By default, truncate (overwrite) output files, if they exist. -If ‘append’, create a new Strings dataset within existing files.

                                • -

                              • save_offsets (bool) – Defaults to True which will instruct the server to save the offsets array to HDF5 -If False the offsets array will not be save and will be derived from the string values -upon load/read.

                                • -

                              • file_type (str ("single" | "distribute")) – Default: Distribute -Distribute the dataset over a file per locale. -Single file will save the dataset to one file

                                • -
                              -
                              -
                              Return type:
                              -

                              String message indicating result of save operation

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if a server-side error is thrown saving the pdarray

                              -
                              -
                              -

                              Notes

                              -
                                -

                              • Parquet files do not store the segments, only the values.

                                • -

                              • Strings state is saved as two datasets within an hdf5 group: -one for the string characters and one for the -segments corresponding to the start of each string

                                • -

                              • the hdf5 group is named via the dataset parameter.

                                • -

                              • The prefix_path must be visible to the arkouda server and the user must -have write permission.

                                • -

                              • Output files have names of the form <prefix_path>_LOCALE<i>, where <i> -ranges from 0 to numLocales for file_type=’distribute’. Otherwise, -the file name will be prefix_path.

                                • -

                              • If any of the output files already exist and -the mode is ‘truncate’, they will be overwritten. If the mode is ‘append’ -and the number of output files is less than the number of locales or a -dataset with the same name already exists, a RuntimeError will result.

                                • -

                              • Any file extension can be used.The file I/O does not rely on the extension to -determine the file format.

                                • -
                              -
                              -

                              See also

                              -

                              to_hdf

                              -
                              -
                              - -
                              -
                              -update_hdf(prefix_path: str, dataset: str = 'strings_array', save_offsets: bool = True, repack: bool = True)#
                              -

                              Overwrite the dataset with the name provided with this Strings object. If -the dataset does not exist it is added

                              -
                              -
                              Parameters:
                              -
                                -

                              • prefix_path (str) – Directory and filename prefix that all output files share

                                • -

                              • dataset (str) – Name of the dataset to create in files

                                • -

                              • save_offsets (bool) – Defaults to True which will instruct the server to save the offsets array to HDF5 -If False the offsets array will not be save and will be derived from the string values -upon load/read.

                                • -

                              • repack (bool) – Default: True -HDF5 does not release memory on delete. When True, the inaccessible -data (that was overwritten) is removed. When False, the data remains, but is -inaccessible. Setting to false will yield better performance, but will cause -file sizes to expand.

                                • -
                              -
                              -
                              Return type:
                              -

                              str - success message if successful

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if a server-side error is thrown saving the Strings object

                              -
                              -
                              -

                              Notes

                              -
                                -

                              • If file does not contain File_Format attribute to indicate how it was saved, -the file name is checked for _LOCALE#### to determine if it is distributed.

                                • -

                              • If the dataset provided does not exist, it will be added

                                • -
                              -
                              - -
                              -
                              -to_csv(prefix_path: str, dataset: str = 'strings_array', col_delim: str = ',', overwrite: bool = False)#
                              -

                              Write Strings to CSV file(s). File will contain a single column with the Strings data. -All CSV Files written by Arkouda include a header denoting data types of the columns. -Unlike other file formats, CSV files store Strings as their UTF-8 format instead of storing -bytes as uint(8).

                              -
                              -
                              Parameters:
                              -
                                -

                              • prefix_path (str) – The filename prefix to be used for saving files. Files will have _LOCALE#### appended -when they are written to disk.

                                • -

                              • dataset (str) – Column name to save the Strings under. Defaults to “strings_array”.

                                • -

                              • col_delim (str) – Defaults to “,”. Value to be used to separate columns within the file. -Please be sure that the value used DOES NOT appear in your dataset.

                                • -

                              • overwrite (bool) – Defaults to False. If True, any existing files matching your provided prefix_path will -be overwritten. If False, an error will be returned if existing files are found.

                                • -
                              -
                              -
                              Return type:
                              -

                              str reponse message

                              -
                              -
                              Raises:
                              -
                                -

                              • ValueError – Raised if all datasets are not present in all parquet files or if one or -more of the specified files do not exist

                                • -

                              • RuntimeError – Raised if one or more of the specified files cannot be opened. -If allow_errors is true this may be raised if no values are returned -from the server.

                                • -

                              • TypeError – Raised if we receive an unknown arkouda_type returned from the server

                                • -
                              -
                              -
                              -

                              Notes

                              -
                                -

                              • CSV format is not currently supported by load/load_all operations

                                • -

                              • The column delimiter is expected to be the same for column names and data

                                • -

                              • Be sure that column delimiters are not found within your data.

                                • -

                              • All CSV files must delimit rows using newline (\n) at this time.

                                • -
                              -
                              - -
                              -
                              -save(prefix_path: str, dataset: str = 'strings_array', mode: str = 'truncate', save_offsets: bool = True, compression: str | None = None, file_format: str = 'HDF5', file_type: str = 'distribute') → str#
                              -

                              DEPRECATED -Save the Strings object to HDF5 or Parquet. The result is a collection of files, -one file per locale of the arkouda server, where each filename starts -with prefix_path. HDF5 support single files, in which case the file name will -only be that provided. Each locale saves its chunk of the array to its -corresponding file. -:param prefix_path: Directory and filename prefix that all output files share -:type prefix_path: str -:param dataset: The name of the Strings dataset to be written, defaults to strings_array -:type dataset: str -:param mode: By default, truncate (overwrite) output files, if they exist.

                              -
                              -

                              If ‘append’, create a new Strings dataset within existing files.

                              -
                              -
                              -
                              Parameters:
                              -
                                -

                              • save_offsets (bool) – Defaults to True which will instruct the server to save the offsets array to HDF5 -If False the offsets array will not be save and will be derived from the string values -upon load/read. This is not supported for Parquet files.

                                • -

                              • compression (str (Optional)) – (None | “snappy” | “gzip” | “brotli” | “zstd” | “lz4”) -Sets the compression type used with Parquet files

                                • -

                              • file_format (str) – By default, saved files will be written to the HDF5 file format. If -‘Parquet’, the files will be written to the Parquet file format. This -is case insensitive.

                                • -

                              • file_type (str ("single" | "distribute")) – Default: Distribute -Distribute the dataset over a file per locale. -Single file will save the dataset to one file

                                • -
                              -
                              -
                              Return type:
                              -

                              String message indicating result of save operation

                              -
                              -
                              -

                              Notes

                              -

                              Important implementation notes: (1) Strings state is saved as two datasets -within an hdf5 group: one for the string characters and one for the -segments corresponding to the start of each string, (2) the hdf5 group is named -via the dataset parameter. (3) Parquet files do not store the segments, -only the values.

                              -
                              - -
                              -
                              -info() → str#
                              -

                              Returns a JSON formatted string containing information about all components of self

                              -
                              -
                              Parameters:
                              -

                              None –

                              -
                              -
                              Returns:
                              -

                              JSON string containing information about all components of self

                              -
                              -
                              Return type:
                              -

                              str

                              -
                              -
                              -
                              - -
                              -
                              -pretty_print_info() → None#
                              -

                              Prints information about all components of self in a human readable format

                              -
                              -
                              Parameters:
                              -

                              None –

                              -
                              -
                              Return type:
                              -

                              None

                              -
                              -
                              -
                              - -
                              -
                              -register(user_defined_name: str) → Strings#
                              -

                              Register this Strings object with a user defined name in the arkouda server -so it can be attached to later using Strings.attach() -This is an in-place operation, registering a Strings object more than once will -update the name in the registry and remove the previously registered name. -A name can only be registered to one object at a time.

                              -
                              -
                              Parameters:
                              -

                              user_defined_name (str) – user defined name which the Strings object is to be registered under

                              -
                              -
                              Returns:
                              -

                              The same Strings object which is now registered with the arkouda server and -has an updated name. -This is an in-place modification, the original is returned to support a -fluid programming style. -Please note you cannot register two different objects with the same name.

                              -
                              -
                              Return type:
                              -

                              Strings

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if user_defined_name is not a str

                                • -

                              • RegistrationError – If the server was unable to register the Strings object with the user_defined_name -If the user is attempting to register more than one object with the same name, -the former should be unregistered first to free up the registration name.

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              attach, unregister

                              -
                              -

                              Notes

                              -

                              Registered names/Strings objects in the server are immune to deletion -until they are unregistered.

                              -
                              - -
                              -
                              -unregister() → None#
                              -

                              Unregister a Strings object in the arkouda server which was previously -registered using register() and/or attached to using attach()

                              -
                              -
                              Return type:
                              -

                              None

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if the server could not find the internal name/symbol to remove

                              -
                              -
                              -
                              -

                              See also

                              -

                              register, attach

                              -
                              -

                              Notes

                              -

                              Registered names/Strings objects in the server are immune to deletion until -they are unregistered.

                              -
                              - -
                              -
                              -is_registered() → numpy.bool_#
                              -

                              Return True iff the object is contained in the registry

                              -
                              -
                              Parameters:
                              -

                              None –

                              -
                              -
                              Returns:
                              -

                              Indicates if the object is contained in the registry

                              -
                              -
                              Return type:
                              -

                              bool

                              -
                              -
                              Raises:
                              -

                              RuntimeError – Raised if there’s a server-side error thrown

                              -
                              -
                              -
                              - -
                              -
                              -static attach(user_defined_name: str) → Strings#
                              -

                              class method to return a Strings object attached to the registered name in the arkouda -server which was registered using register()

                              -
                              -
                              Parameters:
                              -

                              user_defined_name (str) – user defined name which the Strings object was registered under

                              -
                              -
                              Returns:
                              -

                              the Strings object registered with user_defined_name in the arkouda server

                              -
                              -
                              Return type:
                              -

                              Strings object

                              -
                              -
                              Raises:
                              -

                              TypeError – Raised if user_defined_name is not a str

                              -
                              -
                              -
                              -

                              See also

                              -

                              register, unregister

                              -
                              -

                              Notes

                              -

                              Registered names/Strings objects in the server are immune to deletion -until they are unregistered.

                              -
                              - -
                              -
                              -static unregister_strings_by_name(user_defined_name: str) → None#
                              -

                              Unregister a Strings object in the arkouda server previously registered via register()

                              -
                              -
                              Parameters:
                              -

                              user_defined_name (str) – The registered name of the Strings object

                              -
                              -
                              -
                              -

                              See also

                              -

                              register, unregister, attach, is_registered

                              -
                              -
                              - -
                              -
                              -transfer(hostname: str, port: arkouda.dtypes.int_scalars)#
                              -

                              Sends a Strings object to a different Arkouda server

                              -
                              -
                              Parameters:
                              -
                                -

                              • hostname (str) – The hostname where the Arkouda server intended to -receive the Strings object is running.

                                • -

                              • port (int_scalars) – The port to send the array over. This needs to be an -open port (i.e., not one that the Arkouda server is -running on). This will open up numLocales ports, -each of which in succession, so will use ports of the -range {port..(port+numLocales)} (e.g., running an -Arkouda server of 4 nodes, port 1234 is passed as -port, Arkouda will use ports 1234, 1235, 1236, -and 1237 to send the array data). -This port much match the port passed to the call to -ak.receive_array().

                                • -
                              -
                              -
                              Return type:
                              -

                              A message indicating a complete transfer

                              -
                              -
                              Raises:
                              -
                                -

                              • ValueError – Raised if the op is not within the pdarray.BinOps set

                                • -

                              • TypeError – Raised if other is not a pdarray or the pdarray.dtype is not -a supported dtype

                                • -
                              -
                              -
                              -
                              - -
                              - -
                              -
                              -class arkouda.Datetime(pda, unit: str = _BASE_UNIT)#
                              -

                              Bases: _AbstractBaseTime

                              -

                              Represents a date and/or time.

                              -

                              Datetime is the Arkouda analog to pandas DatetimeIndex and -other timeseries data types.

                              -
                              -
                              Parameters:
                              -
                                -

                              • pda (int64 pdarray, pd.DatetimeIndex, pd.Series, or np.datetime64 array) –

                                • -

                              • unit (str, default 'ns') –

                                For int64 pdarray, denotes the unit of the input. Ignored for pandas -and numpy arrays, which carry their own unit. Not case-sensitive; -prefixes of full names (like ‘sec’) are accepted.

                                -

                                Possible values:

                                -
                                  -

                                • ’weeks’ or ‘w’

                                  • -

                                • ’days’ or ‘d’

                                  • -

                                • ’hours’ or ‘h’

                                  • -

                                • ’minutes’, ‘m’, or ‘t’

                                  • -

                                • ’seconds’ or ‘s’

                                  • -

                                • ’milliseconds’, ‘ms’, or ‘l’

                                  • -

                                • ’microseconds’, ‘us’, or ‘u’

                                  • -

                                • ’nanoseconds’, ‘ns’, or ‘n’

                                  • -
                                -

                                Unlike in pandas, units cannot be combined or mixed with integers

                                -

                                • -
                              -
                              -
                              -

                              Notes

                              -

                              The .values attribute is always in nanoseconds with int64 dtype.

                              -
                              -
                              -property nanosecond#
                              -
                              - -
                              -
                              -property microsecond#
                              -
                              - -
                              -
                              -property millisecond#
                              -
                              - -
                              -
                              -property second#
                              -
                              - -
                              -
                              -property minute#
                              -
                              - -
                              -
                              -property hour#
                              -
                              - -
                              -
                              -property day#
                              -
                              - -
                              -
                              -property month#
                              -
                              - -
                              -
                              -property year#
                              -
                              - -
                              -
                              -property day_of_year#
                              -
                              - -
                              -
                              -property dayofyear#
                              -
                              - -
                              -
                              -property day_of_week#
                              -
                              - -
                              -
                              -property dayofweek#
                              -
                              - -
                              -
                              -property weekday#
                              -
                              - -
                              -
                              -property week#
                              -
                              - -
                              -
                              -property weekofyear#
                              -
                              - -
                              -
                              -property date#
                              -
                              - -
                              -
                              -property is_leap_year#
                              -
                              - -
                              -
                              -supported_with_datetime#
                              -
                              - -
                              -
                              -supported_with_r_datetime#
                              -
                              - -
                              -
                              -supported_with_timedelta#
                              -
                              - -
                              -
                              -supported_with_r_timedelta#
                              -
                              - -
                              -
                              -supported_opeq#
                              -
                              - -
                              -
                              -supported_with_pdarray#
                              -
                              - -
                              -
                              -supported_with_r_pdarray#
                              -
                              - -
                              -
                              -special_objType = 'Datetime'#
                              -
                              - -
                              -
                              -isocalendar()#
                              -
                              - -
                              -
                              -to_pandas()#
                              -

                              Convert array to a pandas DatetimeIndex. Note: if the array size -exceeds client.maxTransferBytes, a RuntimeError is raised.

                              -
                              -

                              See also

                              -

                              to_ndarray

                              -
                              -
                              - -
                              -
                              -sum()#
                              -

                              Return the sum of all elements in the array.

                              -
                              - -
                              -
                              -register(user_defined_name)#
                              -

                              Register this Datetime object and underlying components with the Arkouda server

                              -
                              -
                              Parameters:
                              -

                              user_defined_name (str) – user defined name the Datetime is to be registered under, -this will be the root name for underlying components

                              -
                              -
                              Returns:
                              -

                              The same Datetime which is now registered with the arkouda server and has an updated name. -This is an in-place modification, the original is returned to support -a fluid programming style. -Please note you cannot register two different Datetimes with the same name.

                              -
                              -
                              Return type:
                              -

                              Datetime

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if user_defined_name is not a str

                                • -

                              • RegistrationError – If the server was unable to register the Datetimes with the user_defined_name

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              unregister, attach, is_registered

                              -
                              -

                              Notes

                              -

                              Objects registered with the server are immune to deletion until -they are unregistered.

                              -
                              - -
                              -
                              -unregister()#
                              -

                              Unregister this Datetime object in the arkouda server which was previously -registered using register() and/or attached to using attach()

                              -
                              -
                              Raises:
                              -

                              RegistrationError – If the object is already unregistered or if there is a server error -when attempting to unregister

                              -
                              -
                              -
                              -

                              See also

                              -

                              register, attach, is_registered

                              -
                              -

                              Notes

                              -

                              Objects registered with the server are immune to deletion until -they are unregistered.

                              -
                              - -
                              -
                              -is_registered() → numpy.bool_#
                              -
                              -

                              Return True iff the object is contained in the registry or is a component of a -registered object.

                              -
                              -
                              -
                              Returns:
                              -

                              Indicates if the object is contained in the registry

                              -
                              -
                              Return type:
                              -

                              numpy.bool

                              -
                              -
                              Raises:
                              -

                              RegistrationError – Raised if there’s a server-side error or a mis-match of registered components

                              -
                              -
                              -
                              -

                              See also

                              -

                              register, attach, unregister

                              -
                              -

                              Notes

                              -

                              Objects registered with the server are immune to deletion until -they are unregistered.

                              -
                              - -
                              - -
                              -
                              -class arkouda.CachedAccessor(name: str, accessor)#
                              -

                              Custom property-like object. -A descriptor for caching accessors. -:param name: Namespace that will be accessed under, e.g. df.foo. -:type name: str -:param accessor: Class with the extension methods. -:type accessor: cls

                              -

                              Notes

                              -

                              For accessor, The class’s __init__ method assumes that one of -Series, DataFrame or Index as the -single argument data.

                              -
                              - -
                              -
                              -arkouda.string_operators(cls)#
                              -
                              - -
                              -
                              -arkouda.date_operators(cls)#
                              -
                              - -
                              -
                              -class arkouda.Properties#
                              -
                              - -
                              -
                              -class arkouda.DatetimeAccessor(series)#
                              -

                              Bases: Properties

                              -
                              - -
                              -
                              -class arkouda.StringAccessor(series)#
                              -

                              Bases: Properties

                              -
                              - -
                              -
                              -arkouda.get_filetype(filenames: str | List[str]) → str#
                              -

                              Get the type of a file accessible to the server. Supported -file types and possible return strings are ‘HDF5’ and ‘Parquet’.

                              -
                              -
                              Parameters:
                              -

                              filenames (Union[str, List[str]]) – A file or list of files visible to the arkouda server

                              -
                              -
                              Returns:
                              -

                              Type of the file returned as a string, either ‘HDF5’, ‘Parquet’ or ‘CSV

                              -
                              -
                              Return type:
                              -

                              str

                              -
                              -
                              Raises:
                              -

                              ValueError – Raised if filename is empty or contains only whitespace

                              -
                              -
                              -

                              Notes

                              -
                                -

                              • When list provided, it is assumed that all files are the same type

                                • -

                              • CSV Files without the Arkouda Header are not supported

                                • -
                              -
                              -

                              See also

                              -

                              read_parquet, read_hdf

                              -
                              -
                              - -
                              -
                              -arkouda.ls(filename: str, col_delim: str = ',', read_nested: bool = True) → List[str]#
                              -

                              This function calls the h5ls utility on a HDF5 file visible to the -arkouda server or calls a function that imitates the result of h5ls -on a Parquet file.

                              -
                              -
                              Parameters:
                              -
                                -

                              • filename (str) – The name of the file to pass to the server

                                • -

                              • col_delim (str) – The delimiter used to separate columns if the file is a csv

                                • -

                              • read_nested (bool) – Default True, when True, SegArray objects will be read from the file. When False, -SegArray (or other nested Parquet columns) will be ignored. -Only used for Parquet files.

                                • -
                              -
                              -
                              Returns:
                              -

                              The string output of the datasets from the server

                              -
                              -
                              Return type:
                              -

                              str

                              -
                              -
                              Raises:
                              -
                                -

                              • TypeError – Raised if filename is not a str

                                • -

                              • ValueError – Raised if filename is empty or contains only whitespace

                                • -

                              • RuntimeError – Raised if error occurs in executing ls on an HDF5 file

                                • -

                              • Notes –

                                  -
                                • -
                                  This will need to be updated because Parquet will not technically support this when we update.

                                  Similar functionality will be added for Parquet in the future

                                  -
                                  -
                                  -
                                  • -

                                • For CSV files without headers, please use ls_csv

                                  • -
                                -

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              ls_csv

                              -
                              -
                              - -
                              -
                              -arkouda.ls_csv(filename: str, col_delim: str = ',') → List[str]#
                              -

                              Used for identifying the datasets within a file when a CSV does not -have a header.

                              -
                              -
                              Parameters:
                              -
                                -

                              • filename (str) – The name of the file to pass to the server

                                • -

                              • col_delim (str) – The delimiter used to separate columns if the file is a csv

                                • -
                              -
                              -
                              Returns:
                              -

                              The string output of the datasets from the server

                              -
                              -
                              Return type:
                              -

                              str

                              -
                              -
                              -
                              -

                              See also

                              -

                              ls

                              -
                              -
                              - -
                              -
                              -arkouda.get_null_indices(filenames: str | List[str], datasets: str | List[str] | None = None) → arkouda.pdarrayclass.pdarray | Mapping[str, arkouda.pdarrayclass.pdarray]#
                              -

                              Get null indices of a string column in a Parquet file.

                              -
                              -
                              Parameters:
                              -
                                -

                              • filenames (list or str) – Either a list of filenames or shell expression

                                • -

                              • datasets (list or str or None) – (List of) name(s) of dataset(s) to read. Each dataset must be a string -column. There is no default value for this function, the datasets to be -read must be specified.

                                • -
                              -
                              -
                              Returns:
                              -

                                -

                              • For a single dataset returns an Arkouda pdarray and for multiple datasets

                                • -

                              • returns a dictionary of Arkouda pdarrays – Dictionary of {datasetName: pdarray}

                                • -
                              -

                              -
                              -
                              Raises:
                              -
                                -

                              • RuntimeError – Raised if one or more of the specified files cannot be opened.

                                • -

                              • TypeError – Raised if we receive an unknown arkouda_type returned from the server

                                • -
                              -
                              -
                              -
                              -

                              See also

                              -

                              get_datasets, ls

                              -
                              -
                              - -
                              -
                              -arkouda.get_datasets(filenames: str | List[str], allow_errors: bool = False, column_delim: str = ',', read_nested: bool = True) → List[str]#
                              -

                              Get the names of the datasets in the provide files

                              -
                              -
                              Parameters:
                              -
                                -

                              • filenames (str or List[str]) – Name of the file/s from which to return datasets

                                • -

                              • allow_errors (bool) – Default: False -Whether or not to allow errors while accessing datasets

                                • -

                              • column_delim (str) – Column delimiter to be used if dataset is CSV. Otherwise, unused.

                                • -

                              • read_nested (bool) – Default True, when True, SegArray objects will be read from the file. When False, -SegArray (or other nested Parquet columns) will be ignored. -Only used for Parquet Files.

                                • -
                              -
                              -
                              Return type:
                              -

                              List[str] of names of the datasets

                              -
                              -
                              Raises:
                              -

                              RuntimeError –

                                -

                              • If no datasets are returned

                                • -
                              -

                              -
                              -
                              -

                              Notes

                              -
                                -

                              • This function currently supports HDF5 and Parquet formats.

                                • -

                              • Future updates to Parquet will deprecate this functionality on that format,

                                • -
                              -

                              but similar support will be added for Parquet at that time. -- If a list of files is provided, only the datasets in the first file will be returned

                              -
                              -

                              See also

                              -

                              ls

                              -
                              -
                              - -
                              -
                              -arkouda.get_columns(filenames: str | List[str], col_delim: str = ',', allow_errors: bool = False) → List[str]#
                              -

                              Get a list of column names from CSV file(s).

                              -
                              - -
                              -
                              -arkouda.read_hdf(filenames: str | List[str], datasets: str | List[str] | None = None, iterative: bool = False, strict_types: bool = True, allow_errors: bool = False, calc_string_offsets: bool = False, tag_data=False) → arkouda.pdarrayclass.pdarray | arkouda.strings.Strings | arkouda.segarray.SegArray | arkouda.array_view.ArrayView | arkouda.categorical.Categorical | arkouda.dataframe.DataFrame | arkouda.client_dtypes.IPv4 | arkouda.timeclass.Datetime | arkouda.timeclass.Timedelta | arkouda.index.Index | Mapping[str, arkouda.pdarrayclass.pdarray | arkouda.strings.Strings | arkouda.segarray.SegArray | arkouda.array_view.ArrayView | arkouda.categorical.Categorical | arkouda.dataframe.DataFrame | arkouda.client_dtypes.IPv4 | arkouda.timeclass.Datetime | arkouda.timeclass.Timedelta | arkouda.index.Index]#
                              -

                              Read Arkouda objects from HDF5 file/s

                              -
                              -
                              Parameters:
                              -
                                -

                              • filenames (str, List[str]) – Filename/s to read objects from

                                • -

                              • datasets (Optional str, List[str]) – datasets to read from the provided files

                                • -

                              • iterative (bool) – Iterative (True) or Single (False) function call(s) to server

                                • -

                              • strict_types (bool) – If True (default), require all dtypes of a given dataset to have the -same precision and sign. If False, allow dtypes of different -precision and sign across different files. For example, if one -file contains a uint32 dataset and another contains an int64 -dataset with the same name, the contents of both will be read -into an int64 pdarray.

                                • -

                              • allow_errors (bool) – Default False, if True will allow files with read errors to be skipped -instead of failing. A warning will be included in the return containing -the total number of files skipped due to failure and up to 10 filenames.

                                • -

                              • calc_string_offsets (bool) – Default False, if True this will tell the server to calculate the -offsets/segments array on the server versus loading them from HDF5 files. -In the future this option may be set to True as the default.

                                • -

                              • tagData (bool) – Default False, if True tag the data with the code associated with the filename -that the data was pulled from.

                                • -
                              -
                              -
                              Returns:
                              -

                                -

                              • For a single dataset returns an Arkouda pdarray, Arkouda Strings, Arkouda Segarrays,

                                • -

                              • or Arkouda ArrayViews. For multiple datasets returns a dictionary of Arkouda pdarrays,

                                • -

                              • Arkouda Strings, Arkouda Segarrays, or Arkouda ArrayViews. – Dictionary of {datasetName: pdarray, String, SegArray, or ArrayView}

                                • -
                              -

                              -
                              -
                              Raises:
                              -
                                -

                              • ValueError – Raised if all datasets are not present in all hdf5 files or if one or -more of the specified files do not exist

                                • -

                              • RuntimeError – Raised if one or more of the specified files cannot be opened. -If allow_errors is true this may be raised if no values are returned -from the server.

                                • -

                              • TypeError – Raised if we receive an unknown arkouda_type returned from the server

                                • -
                              -
                              -
                              -

                              Notes

                              -

                              If filenames is a string, it is interpreted as a shell expression -(a single filename is a valid expression, so it will work) and is -expanded with glob to read all matching files.

                              -

                              If iterative == True each dataset name and file names are passed to -the server as independent sequential strings while if iterative == False -all dataset names and file names are passed to the server in a single -string.

                              -

                              If datasets is None, infer the names of datasets from the first file -and read all of them. Use get_datasets to show the names of datasets -to HDF5 files.

                              -
                              -

                              See also

                              -

                              read_tagged_data

                              -
                              -

                              Examples

                              -
                              >>>
-# Read with file Extension
->>> x = ak.read_hdf('path/name_prefix.h5') # load HDF5
-# Read Glob Expression
->>> x = ak.read_hdf('path/name_prefix*') # Reads HDF5
-
                              -
                              -
                              - -
                              -
                              -arkouda.read_parquet(filenames: str | List[str], datasets: str | List[str] | None = None, iterative: bool = False, strict_types: bool = True, allow_errors: bool = False, tag_data: bool = False, read_nested: bool = True) → arkouda.pdarrayclass.pdarray | arkouda.strings.Strings | arkouda.segarray.SegArray | arkouda.array_view.ArrayView | arkouda.categorical.Categorical | arkouda.dataframe.DataFrame | arkouda.client_dtypes.IPv4 | arkouda.timeclass.Datetime | arkouda.timeclass.Timedelta | arkouda.index.Index | Mapping[str, arkouda.pdarrayclass.pdarray | arkouda.strings.Strings | arkouda.segarray.SegArray | arkouda.array_view.ArrayView | arkouda.categorical.Categorical | arkouda.dataframe.DataFrame | arkouda.client_dtypes.IPv4 | arkouda.timeclass.Datetime | arkouda.timeclass.Timedelta | arkouda.index.Index]#
                              -

                              Read Arkouda objects from Parquet file/s

                              -
                              -
                              Parameters:
                              -
                                -

                              • filenames (str, List[str]) – Filename/s to read objects from

                                • -

                              • datasets (Optional str, List[str]) – datasets to read from the provided files

                                • -

                              • iterative (bool) – Iterative (True) or Single (False) function call(s) to server

                                • -

                              • strict_types (bool) – If True (default), require all dtypes of a given dataset to have the -same precision and sign. If False, allow dtypes of different -precision and sign across different files. For example, if one -file contains a uint32 dataset and another contains an int64 -dataset with the same name, the contents of both will be read -into an int64 pdarray.

                                • -

                              • allow_errors (bool) – Default False, if True will allow files with read errors to be skipped -instead of failing. A warning will be included in the return containing -the total number of files skipped due to failure and up to 10 filenames.

                                • -

                              • tagData (bool) – Default False, if True tag the data with the code associated with the filename -that the data was pulled from.

                                • -

                              • read_nested (bool) – Default True, when True, SegArray objects will be read from the file. When False, -SegArray (or other nested Parquet columns) will be ignored. -If datasets is not None, this will be ignored.

                                • -
                              -
                              -
                              Returns:
                              -

                                -

                              • For a single dataset returns an Arkouda pdarray, Arkouda Strings, or Arkouda ArrayView object

                                • -

                              • and for multiple datasets returns a dictionary of Arkouda pdarrays,

                                • -

                              • Arkouda Strings or Arkouda ArrayView. – Dictionary of {datasetName: pdarray or String}

                                • -
                              -

                              -
                              -
                              Raises:
                              -
                                -

                              • ValueError – Raised if all datasets are not present in all parquet files or if one or -more of the specified files do not exist

                                • -

                              • RuntimeError – Raised if one or more of the specified files cannot be opened. -If allow_errors is true this may be raised if no values are returned -from the server.

                                • -

                              • TypeError – Raised if we receive an unknown arkouda_type returned from the server

                                • -
                              -
                              -
                              -

                              Notes

                              -

                              If filenames is a string, it is interpreted as a shell expression -(a single filename is a valid expression, so it will work) and is -expanded with glob to read all matching files.

                              -

                              If iterative == True each dataset name and file names are passed to -the server as independent sequential strings while if iterative == False -all dataset names and file names are passed to the server in a single -string.

                              -

                              If datasets is None, infer the names of datasets from the first file -and read all of them. Use get_datasets to show the names of datasets -to Parquet files.

                              -

                              Parquet always recomputes offsets at this time -This will need to be updated once parquets workflow is updated

                              -
                              -

                              See also

                              -

                              read_tagged_data

                              +

                              read_tagged_data

                              Examples

                              Read without file Extension @@ -38747,7 +36595,7 @@

                              Return Type

                              The pdarray or Strings that was previously saved

                              Return type:
                              -

                              Union[pdarray, Strings]

                              +

                              Union[pdarray, Strings]

                              Raises:
                              Return type:
                              -

                              Mapping[str, Union[pdarray, Strings, SegArray, Categorical]]

                              +

                              Mapping[str, Union[pdarray, Strings, SegArray, Categorical]]

                              Raises:
                                @@ -38984,6 +36832,84 @@

                                Return Type

                              +
                              +
                              +arkouda.attach(name: str)#
                              +
                              + +
                              +
                              +arkouda.unregister(name: str)#
                              +
                              + +
                              +
                              +arkouda.attach_all(names: list)#
                              +

                              Attach to all objects registered with the names provide

                              +
                              +
                              Parameters:
                              +

                              names (list) – List of names to attach to

                              +
                              +
                              Return type:
                              +

                              dict

                              +
                              +
                              +
                              + +
                              +
                              +arkouda.unregister_all(names: list)#
                              +

                              Unregister all names provided

                              +
                              +
                              Parameters:
                              +

                              names (list) – List of names used to register objects to be unregistered

                              +
                              +
                              Return type:
                              +

                              None

                              +
                              +
                              +
                              + +
                              +
                              +arkouda.register_all(data: dict)#
                              +

                              Register all objects in the provided dictionary

                              +
                              +
                              Parameters:
                              +

                              data (dict) – Maps name to register the object to the object. For example, {“MyArray”: ak.array([0, 1, 2])

                              +
                              +
                              Return type:
                              +

                              None

                              +
                              +
                              +
                              + +
                              +
                              +arkouda.is_registered(name: str, as_component: bool = False) → bool#
                              +

                              Determine if the name provided is associated with a registered Object

                              +
                              +
                              Parameters:
                              +
                                +

                              • name (str) – The name to check for in the registry

                                • +

                              • as_component (bool) – Default: False +When True, the name will be checked to determine if it is registered as a component of +a registered object

                                • +
                              +
                              +
                              Return type:
                              +

                              bool

                              +
                              +
                              +
                              + +
                              +
                              +arkouda.broadcast_dims(sa: Sequence[int], sb: Sequence[int]) → Tuple[int, Ellipsis]#
                              +

                              Algorithm to determine shape of broadcasted PD array given two array shapes

                              +

                              see: https://data-apis.org/array-api/latest/API_specification/broadcasting.html#algorithm

                              +
                              + @@ -40177,6 +38103,9 @@

                              Return Type
                            • argsort()
                            • in1d()
                            • coargsort()
                              • +
                            • convert_if_categorical()
                              • +
                            • generic_concat()
                              • +
                            • get_callback()
                            • Index

                            diff --git a/autoapi/arkouda/index/index.html b/autoapi/arkouda/index/index.html index 61d0fd5f70..275c3a1082 100644 --- a/autoapi/arkouda/index/index.html +++ b/autoapi/arkouda/index/index.html @@ -300,7 +300,7 @@

                            Classes#<
                            -class arkouda.index.Index(values: List | arkouda.pdarrayclass.pdarray | arkouda.Strings | arkouda.Categorical | pandas.Index | Index, name: str | None = None)#
                            +class arkouda.index.Index(values: List | arkouda.pdarrayclass.pdarray | arkouda.Strings | arkouda.Categorical | pandas.Index | Index, name: str | None = None)#
                            property index#
                            diff --git a/autoapi/arkouda/io/index.html b/autoapi/arkouda/io/index.html index f87861baed..5de556e2ca 100644 --- a/autoapi/arkouda/io/index.html +++ b/autoapi/arkouda/io/index.html @@ -1097,7 +1097,7 @@

                            Functions

                            The pdarray or Strings that was previously saved

                            Return type:
                            -

                            Union[pdarray, Strings]

                            +

                            Union[pdarray, Strings]

                            Raises:
                            @@ -406,7 +406,7 @@

                            Classes#< Also converts list and tuple arguments into pdarrays.

                            Parameters:
                            -

                            key (Series, pdarray, Strings, Categorical, List, supported_scalars) – The key or container of keys that might be used to index into the Series.

                            +

                            key (Series, pdarray, Strings, Categorical, List, supported_scalars) – The key or container of keys that might be used to index into the Series.

                            Return type:

                            The validated key(s), with lists and tuples converted to pdarrays

                            @@ -430,7 +430,7 @@

                            Classes#< Also converts list and tuple arguments into pdarrays.

                            Parameters:
                            -

                            val (pdarray, Strings, list, supported_scalars) – The value or container of values that might be assigned into the Series.

                            +

                            val (pdarray, Strings, list, supported_scalars) – The value or container of values that might be assigned into the Series.

                            Return type:

                            The validated value, with lists converted to pdarrays

                            diff --git a/autoapi/arkouda/sorting/index.html b/autoapi/arkouda/sorting/index.html index 2589f581eb..82b54b328a 100644 --- a/autoapi/arkouda/sorting/index.html +++ b/autoapi/arkouda/sorting/index.html @@ -307,7 +307,7 @@

                            Functions
                            Parameters:
                            -

                            pda (pdarray or Strings or Categorical) – The array to sort (int64, uint64, or float64)

                            +

                            pda (pdarray or Strings or Categorical) – The array to sort (int64, uint64, or float64)

                            Returns:

                            The indices such that pda[indices] is sorted

                            @@ -343,7 +343,7 @@

                            Functions
                            Parameters:
                            -

                            arrays (Sequence[Union[Strings, pdarray, Categorical]]) – The columns (int64, uint64, float64, Strings, or Categorical) to sort by row

                            +

                            arrays (Sequence[Union[Strings, pdarray, Categorical]]) – The columns (int64, uint64, float64, Strings, or Categorical) to sort by row

                            Returns:

                            The indices that permute the rows to grouped order

                            diff --git a/file_io/CSV.html b/file_io/CSV.html index b56a7fd9c8..a13ab95f8a 100644 --- a/file_io/CSV.html +++ b/file_io/CSV.html @@ -347,7 +347,7 @@

                            pdarray#<

                            Strings#

                            diff --git a/file_io/HDF5.html b/file_io/HDF5.html index 4f395115e5..922312ec29 100644 --- a/file_io/HDF5.html +++ b/file_io/HDF5.html @@ -702,8 +702,8 @@

                            DataFrame

                            Strings#

                            diff --git a/file_io/PARQUET.html b/file_io/PARQUET.html index b6618746d3..ab1d387753 100644 --- a/file_io/PARQUET.html +++ b/file_io/PARQUET.html @@ -350,8 +350,8 @@

                            DataFrame

                            Strings#

                            diff --git a/genindex.html b/genindex.html index 3b3a7ed18c..45193d8e70 100644 --- a/genindex.html +++ b/genindex.html @@ -939,7 +939,7 @@

                            A

                            -
                          • attach_all() (in module arkouda.util) +
                          • attach_all() (in module arkouda) + +
                          • attach_pdarray() (in module arkouda)
                            • -

                          - +
                        • broadcast_arrays() (in module arkouda.array_api._manipulation_functions)
                          • -
                        • broadcast_dims() (in module arkouda.util) +
                        • broadcast_dims() (in module arkouda) + +
                        • broadcast_to() (in module arkouda.array_api._manipulation_functions)
                        • broadcast_to_shape() (in module arkouda) @@ -1128,18 +1138,14 @@

                          B

                          C

                          - +
                          -
                        • rpeel() (arkouda.Strings method), [1], [2], [3], [4], [5] +
                        • rpeel() (arkouda.Strings method), [1], [2], [3], [4]
                          • -
                        • search() (arkouda.Strings method), [1], [2], [3], [4], [5] +
                        • search() (arkouda.Strings method), [1], [2], [3], [4]
                          • -
                        • second (arkouda.Datetime property), [1], [2] +
                        • second (arkouda.Datetime property), [1]
                          		• -
                        • unregister_strings_by_name() (arkouda.Strings static method), [1], [2], [3], [4] +
                        • unregister_strings_by_name() (arkouda.Strings static method), [1], [2], [3]
                          • -
                        • upper() (arkouda.Strings method), [1], [2], [3], [4] +
                        • upper() (arkouda.Strings method), [1], [2], [3]
                          • -
                        • week (arkouda.Datetime property), [1], [2] +
                        • week (arkouda.Datetime property), [1]
                          • -
                        • weekday (arkouda.Datetime property), [1], [2] +
                        • weekday (arkouda.Datetime property), [1]
                          • -
                        • weekofyear (arkouda.Datetime property), [1], [2] +
                        • weekofyear (arkouda.Datetime property), [1]
                          • (arkouda.timeclass.Datetime property) @@ -5113,7 +5123,7 @@

                            X

                            Y

                              -
                            • year (arkouda.Datetime property), [1], [2] +
                            • year (arkouda.Datetime property), [1]
                              • (arkouda.timeclass.Datetime property) diff --git a/objects.inv b/objects.inv index 6e148275e41f2a29114bbf5031038d3b9e606a24..9affcf0ab2c732a722bb27280ef083bb08043807 100644 GIT binary patch delta 12891 zcmV-hGNjGfWang%cYjM)AShR ze=r8@k%Hi19X`iFhLBBDcm0!+H!kW0Zk93GB6F97NwP;P_GmT(5nId70h+tpnE6slrFOSo1lhT!)d2y7HbVV{` z&DxL_aT>b0(VNT`X&gE!$%`~{!fa^MFu z6dlyp^M{9O91Jwa z)Ia@vCVxbJPvau_3O1z-baE&JxkC)7$`%=dSmn z@lIbp2{~SDoE0w)im)=!Ny^3tX}(r}@?!}q@?4{=Bx@7tG}S24Gx0n4tPJpZ;L?s? zBmw0{A~OKxjUj-46mjz*VUn-)Ku1E*f(C5d=YKq}oz#t%M5m|^#6aFBCoVI!nNI5- zf$0yEdD9Y?+mhR_XM_6qLR=p&UFK2mvzYrRnhUXl}=F|NJx6qKmLBF z5`R)uk5_OFBqbTiowk|aAekE`fz~%akZ@Kylv8nSZU@ouwkiSDBWXBC@>*o=ixu?CgW%92z1I@uAo$ei`-*+Q#r zAB%^jMTD^vX9||nmIxn&G}Z&!%ZqEc{(pKSFTay9R@3;PMYvTrNKX6HIK_J%3B+eS zBRU4)?BJ6aqcw6o`y`_{@xpl{eugNPO3+|Oz6M}-(7(^` zp6H79;i&VOe!Jqy;` z1ZrS^;_~1wm&{z%Qz32PAV7&lYm`{J4BdCE75z$`->YY*Ztls8HLsGi6 zDD%R`Td2k$9M%G5$6aXD;@j(m0y*k`5=rK$cio=M0>uQY-atuw)v6>NgL*BQv1m&> 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88, 89, 90, 91, 93], "row": [3, 24, 26, 28, 29, 31, 38, 40, 44, 46, 47, 50, 59, 60, 77, 79, 84, 85, 89, 91], "same": [3, 20, 21, 23, 24, 26, 28, 29, 31, 37, 38, 39, 40, 43, 44, 45, 46, 47, 48, 55, 59, 60, 61, 63, 69, 70, 71, 75, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 88, 89, 90, 91, 93], "shape": [3, 4, 6, 11, 16, 20, 21, 24, 28, 29, 37, 38, 45, 47, 49, 61, 76, 80, 81, 82, 88], "dtype": [3, 4, 6, 7, 15, 16, 20, 21, 24, 26, 28, 29, 31, 33, 36, 37, 38, 39, 40, 44, 46, 47, 48, 50, 51, 52, 59, 75, 76, 77, 80, 81, 83, 85, 86, 87, 88, 91, 93], "its": [3, 7, 9, 10, 11, 12, 13, 14, 17, 21, 25, 28, 29, 37, 38, 44, 45, 47, 55, 61, 70, 80, 88, 89, 90, 93], "int64": [3, 8, 21, 23, 24, 25, 26, 28, 31, 33, 35, 37, 38, 39, 40, 44, 46, 47, 48, 51, 52, 59, 60, 61, 75, 77, 79, 80, 82, 83, 84, 85, 86, 88, 89, 91, 93], "lookup": [3, 28, 29, 45], "kei": [3, 21, 24, 26, 28, 29, 30, 31, 32, 37, 40, 45, 51, 59, 61, 71, 73, 78, 84, 85, 90, 91], "fillvalu": [3, 28], "appli": [3, 24, 26, 28, 37, 52, 80, 84, 85, 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88], "load": [21, 24, 28, 29, 31, 38, 44, 47, 60, 61, 63, 64, 73, 77], "without": [21, 24, 28, 31, 38, 57, 66, 68, 77, 84], "to_parquet": [21, 24, 28, 29, 31, 38, 44, 47, 63, 64, 77], "compress": [21, 24, 28, 29, 31, 38, 44, 47, 52, 87, 89], "parquet": [21, 24, 26, 28, 29, 31, 38, 44, 47, 52, 60, 62, 64, 77, 85], "chunk": [21, 28, 29, 31, 38, 44, 47], "snappi": [21, 24, 28, 29, 31, 38, 44, 47, 52, 63, 68], "gzip": [21, 24, 28, 29, 31, 38, 44, 47, 52, 63], "brotli": [21, 24, 28, 29, 31, 38, 44, 47, 52, 63], "zstd": [21, 24, 28, 29, 31, 38, 44, 47, 52, 63], "lz4": [21, 24, 28, 29, 31, 38, 44, 47, 52, 63], "On": [21, 22, 92], "due": [21, 28, 31, 60, 63, 77], "issu": [21, 24, 26, 28, 51, 55, 68, 73, 85, 89], "visibl": [21, 22, 28, 29, 31, 38, 44, 47, 92], "permiss": [21, 28, 29, 38, 44, 47], "form": [21, 25, 28, 29, 38, 43, 44, 47, 55, 71, 93], "numlocal": [21, 22, 24, 28, 29, 31, 38, 44, 47, 92], "effici": [21, 24, 28, 29, 38, 47, 89, 93], "o": [21, 28, 29, 38, 43, 44, 47, 74, 76], 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[[9, "arkouda.array_api._elementwise_functions.isinf"]], "isnan() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.isnan"]], "less() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.less"]], "less_equal() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.less_equal"]], "log() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.log"]], "log10() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.log10"]], "log1p() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.log1p"]], "log2() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.log2"]], "logaddexp() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logaddexp"]], "logical_and() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logical_and"]], "logical_not() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logical_not"]], "logical_or() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logical_or"]], "logical_xor() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logical_xor"]], "multiply() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.multiply"]], "negative() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.negative"]], "not_equal() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.not_equal"]], "positive() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.positive"]], "pow() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.pow"]], "real() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.real"]], "remainder() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.remainder"]], "round() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.round"]], "sign() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.sign"]], "sin() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.sin"]], "sinh() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.sinh"]], "sqrt() (in module 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module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.roll"]], "squeeze() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.squeeze"]], "stack() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.stack"]], "argmax() (in module arkouda.array_api._searching_functions)": [[12, "arkouda.array_api._searching_functions.argmax"]], "argmin() (in module arkouda.array_api._searching_functions)": [[12, "arkouda.array_api._searching_functions.argmin"]], "arkouda.array_api._searching_functions": [[12, "module-arkouda.array_api._searching_functions"]], "nonzero() (in module arkouda.array_api._searching_functions)": [[12, "arkouda.array_api._searching_functions.nonzero"]], "where() (in module arkouda.array_api._searching_functions)": [[12, "arkouda.array_api._searching_functions.where"]], "uniqueallresult (class in arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.UniqueAllResult"]], "uniquecountsresult (class in arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.UniqueCountsResult"]], "uniqueinverseresult (class in arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.UniqueInverseResult"]], "arkouda.array_api._set_functions": [[13, "module-arkouda.array_api._set_functions"]], "counts (arkouda.array_api._set_functions.uniqueallresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueAllResult.counts"]], "counts (arkouda.array_api._set_functions.uniquecountsresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueCountsResult.counts"]], "indices (arkouda.array_api._set_functions.uniqueallresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueAllResult.indices"]], "inverse_indices (arkouda.array_api._set_functions.uniqueallresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueAllResult.inverse_indices"]], "inverse_indices (arkouda.array_api._set_functions.uniqueinverseresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueInverseResult.inverse_indices"]], "unique_all() (in module arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.unique_all"]], "unique_counts() (in module arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.unique_counts"]], "unique_inverse() (in module arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.unique_inverse"]], "unique_values() (in module arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.unique_values"]], "values (arkouda.array_api._set_functions.uniqueallresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueAllResult.values"]], "values (arkouda.array_api._set_functions.uniquecountsresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueCountsResult.values"]], "values (arkouda.array_api._set_functions.uniqueinverseresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueInverseResult.values"]], "argsort() (in module arkouda.array_api._sorting_functions)": [[14, "arkouda.array_api._sorting_functions.argsort"]], "arkouda.array_api._sorting_functions": [[14, "module-arkouda.array_api._sorting_functions"]], "sort() (in module arkouda.array_api._sorting_functions)": [[14, "arkouda.array_api._sorting_functions.sort"]], "arkouda.array_api._statistical_functions": [[15, "module-arkouda.array_api._statistical_functions"]], "max() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.max"]], "mean() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.mean"]], "min() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.min"]], "prod() (in module arkouda.array_api._statistical_functions)": [[15, 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arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.arange"]], "arkouda.array_api._creation_functions": [[6, "module-arkouda.array_api._creation_functions"]], "asarray() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.asarray"]], "empty() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.empty"]], "empty_like() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.empty_like"]], "eye() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.eye"]], "from_dlpack() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.from_dlpack"]], "full() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.full"]], "full_like() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.full_like"]], "linspace() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.linspace"]], "meshgrid() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.meshgrid"]], "ones() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.ones"]], "ones_like() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.ones_like"]], "tril() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.tril"]], "triu() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.triu"]], "zeros() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.zeros"]], "zeros_like() (in module arkouda.array_api._creation_functions)": [[6, "arkouda.array_api._creation_functions.zeros_like"]], "arkouda.array_api._data_type_functions": [[7, "module-arkouda.array_api._data_type_functions"]], "astype() (in module arkouda.array_api._data_type_functions)": [[7, "arkouda.array_api._data_type_functions.astype"]], "bits (arkouda.array_api._data_type_functions.finfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.finfo_object.bits"]], "bits (arkouda.array_api._data_type_functions.iinfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.iinfo_object.bits"]], "can_cast() (in module arkouda.array_api._data_type_functions)": [[7, "arkouda.array_api._data_type_functions.can_cast"]], "dtype (arkouda.array_api._data_type_functions.finfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.finfo_object.dtype"]], "dtype (arkouda.array_api._data_type_functions.iinfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.iinfo_object.dtype"]], "eps (arkouda.array_api._data_type_functions.finfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.finfo_object.eps"]], "finfo_object (class in arkouda.array_api._data_type_functions)": [[7, "arkouda.array_api._data_type_functions.finfo_object"]], "iinfo_object (class in arkouda.array_api._data_type_functions)": [[7, "arkouda.array_api._data_type_functions.iinfo_object"]], "isdtype() (in module arkouda.array_api._data_type_functions)": [[7, "arkouda.array_api._data_type_functions.isdtype"]], "max (arkouda.array_api._data_type_functions.finfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.finfo_object.max"]], "max (arkouda.array_api._data_type_functions.iinfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.iinfo_object.max"]], "min (arkouda.array_api._data_type_functions.finfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.finfo_object.min"]], "min (arkouda.array_api._data_type_functions.iinfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.iinfo_object.min"]], "result_type() (in module arkouda.array_api._data_type_functions)": [[7, "arkouda.array_api._data_type_functions.result_type"]], "smallest_normal (arkouda.array_api._data_type_functions.finfo_object attribute)": [[7, "arkouda.array_api._data_type_functions.finfo_object.smallest_normal"]], "arkouda.array_api._dtypes": [[8, "module-arkouda.array_api._dtypes"]], "bool (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.bool"]], "complex128 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.complex128"]], "complex64 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.complex64"]], "float32 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.float32"]], "float64 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.float64"]], "int16 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.int16"]], "int32 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.int32"]], "int64 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.int64"]], "int8 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.int8"]], "uint16 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.uint16"]], "uint32 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.uint32"]], "uint64 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.uint64"]], "uint8 (in module arkouda.array_api._dtypes)": [[8, "arkouda.array_api._dtypes.uint8"]], "abs() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.abs"]], "acos() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.acos"]], "acosh() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.acosh"]], "add() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.add"]], "arkouda.array_api._elementwise_functions": [[9, "module-arkouda.array_api._elementwise_functions"]], "asin() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.asin"]], "asinh() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.asinh"]], "atan() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.atan"]], "atan2() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.atan2"]], "atanh() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.atanh"]], "bitwise_and() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.bitwise_and"]], "bitwise_invert() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.bitwise_invert"]], "bitwise_left_shift() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.bitwise_left_shift"]], "bitwise_or() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.bitwise_or"]], "bitwise_right_shift() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.bitwise_right_shift"]], "bitwise_xor() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.bitwise_xor"]], "ceil() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.ceil"]], "conj() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.conj"]], "cos() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.cos"]], "cosh() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.cosh"]], "divide() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.divide"]], "equal() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.equal"]], "exp() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.exp"]], "expm1() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.expm1"]], "floor() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.floor"]], "floor_divide() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.floor_divide"]], "greater() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.greater"]], "greater_equal() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.greater_equal"]], "imag() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.imag"]], "isfinite() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.isfinite"]], "isinf() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.isinf"]], "isnan() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.isnan"]], "less() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.less"]], "less_equal() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.less_equal"]], "log() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.log"]], "log10() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.log10"]], "log1p() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.log1p"]], "log2() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.log2"]], "logaddexp() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logaddexp"]], "logical_and() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logical_and"]], "logical_not() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logical_not"]], "logical_or() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logical_or"]], "logical_xor() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.logical_xor"]], "multiply() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.multiply"]], "negative() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.negative"]], "not_equal() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.not_equal"]], "positive() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.positive"]], "pow() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.pow"]], "real() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.real"]], "remainder() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.remainder"]], "round() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.round"]], "sign() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.sign"]], "sin() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.sin"]], "sinh() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.sinh"]], "sqrt() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.sqrt"]], "square() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.square"]], "subtract() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.subtract"]], "tan() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.tan"]], "tanh() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.tanh"]], "trunc() (in module arkouda.array_api._elementwise_functions)": [[9, "arkouda.array_api._elementwise_functions.trunc"]], "arkouda.array_api._indexing_functions": [[10, "module-arkouda.array_api._indexing_functions"]], "take() (in module arkouda.array_api._indexing_functions)": [[10, "arkouda.array_api._indexing_functions.take"]], "arkouda.array_api._manipulation_functions": [[11, "module-arkouda.array_api._manipulation_functions"]], "broadcast_arrays() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.broadcast_arrays"]], "broadcast_to() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.broadcast_to"]], "concat() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.concat"]], "expand_dims() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.expand_dims"]], "flip() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.flip"]], "permute_dims() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.permute_dims"]], "reshape() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.reshape"]], "roll() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.roll"]], "squeeze() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.squeeze"]], "stack() (in module arkouda.array_api._manipulation_functions)": [[11, "arkouda.array_api._manipulation_functions.stack"]], "argmax() (in module arkouda.array_api._searching_functions)": [[12, "arkouda.array_api._searching_functions.argmax"]], "argmin() (in module arkouda.array_api._searching_functions)": [[12, "arkouda.array_api._searching_functions.argmin"]], "arkouda.array_api._searching_functions": [[12, "module-arkouda.array_api._searching_functions"]], "nonzero() (in module arkouda.array_api._searching_functions)": [[12, "arkouda.array_api._searching_functions.nonzero"]], "where() (in module arkouda.array_api._searching_functions)": [[12, "arkouda.array_api._searching_functions.where"]], "uniqueallresult (class in arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.UniqueAllResult"]], "uniquecountsresult (class in arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.UniqueCountsResult"]], "uniqueinverseresult (class in arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.UniqueInverseResult"]], "arkouda.array_api._set_functions": [[13, "module-arkouda.array_api._set_functions"]], "counts (arkouda.array_api._set_functions.uniqueallresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueAllResult.counts"]], "counts (arkouda.array_api._set_functions.uniquecountsresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueCountsResult.counts"]], "indices (arkouda.array_api._set_functions.uniqueallresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueAllResult.indices"]], "inverse_indices (arkouda.array_api._set_functions.uniqueallresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueAllResult.inverse_indices"]], "inverse_indices (arkouda.array_api._set_functions.uniqueinverseresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueInverseResult.inverse_indices"]], "unique_all() (in module arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.unique_all"]], "unique_counts() (in module arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.unique_counts"]], "unique_inverse() (in module arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.unique_inverse"]], "unique_values() (in module arkouda.array_api._set_functions)": [[13, "arkouda.array_api._set_functions.unique_values"]], "values (arkouda.array_api._set_functions.uniqueallresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueAllResult.values"]], "values (arkouda.array_api._set_functions.uniquecountsresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueCountsResult.values"]], "values (arkouda.array_api._set_functions.uniqueinverseresult attribute)": [[13, "arkouda.array_api._set_functions.UniqueInverseResult.values"]], "argsort() (in module arkouda.array_api._sorting_functions)": [[14, "arkouda.array_api._sorting_functions.argsort"]], "arkouda.array_api._sorting_functions": [[14, "module-arkouda.array_api._sorting_functions"]], "sort() (in module arkouda.array_api._sorting_functions)": [[14, "arkouda.array_api._sorting_functions.sort"]], "arkouda.array_api._statistical_functions": [[15, "module-arkouda.array_api._statistical_functions"]], "max() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.max"]], "mean() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.mean"]], "min() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.min"]], "prod() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.prod"]], "std() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.std"]], "sum() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.sum"]], "var() (in module arkouda.array_api._statistical_functions)": [[15, "arkouda.array_api._statistical_functions.var"]], "array (class in arkouda.array_api._typing)": [[16, "arkouda.array_api._typing.Array"]], "device (in module arkouda.array_api._typing)": [[16, "arkouda.array_api._typing.Device"]], "dtype (in module arkouda.array_api._typing)": [[16, "arkouda.array_api._typing.Dtype"]], "pycapsule (in module arkouda.array_api._typing)": [[16, "arkouda.array_api._typing.PyCapsule"]], "supportsbufferprotocol (in module arkouda.array_api._typing)": [[16, "arkouda.array_api._typing.SupportsBufferProtocol"]], "supportsdlpack (class in arkouda.array_api._typing)": [[16, "arkouda.array_api._typing.SupportsDLPack"]], "t (arkouda.array_api._typing.array property)": [[16, "arkouda.array_api._typing.Array.T"]], "arkouda.array_api._typing": [[16, "module-arkouda.array_api._typing"]], "device (arkouda.array_api._typing.array property)": [[16, "arkouda.array_api._typing.Array.device"]], "dtype (arkouda.array_api._typing.array property)": [[16, "arkouda.array_api._typing.Array.dtype"]], "mt (arkouda.array_api._typing.array property)": [[16, "arkouda.array_api._typing.Array.mT"]], "ndim (arkouda.array_api._typing.array property)": [[16, "arkouda.array_api._typing.Array.ndim"]], "shape 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"arkouda.timeclass.Datetime.date"]], "date_range() (in module arkouda.timeclass)": [[48, "arkouda.timeclass.date_range"]], "day (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.day"]], "day_of_week (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.day_of_week"]], "day_of_year (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.day_of_year"]], "dayofweek (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.dayofweek"]], "dayofyear (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.dayofyear"]], "days (arkouda.timeclass.timedelta property)": [[48, "arkouda.timeclass.Timedelta.days"]], "hour (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.hour"]], "is_leap_year (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.is_leap_year"]], "is_registered() (arkouda.timeclass.datetime method)": [[48, "arkouda.timeclass.Datetime.is_registered"]], "is_registered() (arkouda.timeclass.timedelta method)": [[48, "arkouda.timeclass.Timedelta.is_registered"]], "isocalendar() (arkouda.timeclass.datetime method)": [[48, "arkouda.timeclass.Datetime.isocalendar"]], "microsecond (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.microsecond"]], "microseconds (arkouda.timeclass.timedelta property)": [[48, "arkouda.timeclass.Timedelta.microseconds"]], "millisecond (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.millisecond"]], "minute (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.minute"]], "month (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.month"]], "nanosecond (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.nanosecond"]], "nanoseconds (arkouda.timeclass.timedelta property)": [[48, "arkouda.timeclass.Timedelta.nanoseconds"]], "register() (arkouda.timeclass.datetime method)": [[48, "arkouda.timeclass.Datetime.register"]], "register() (arkouda.timeclass.timedelta method)": [[48, "arkouda.timeclass.Timedelta.register"]], "second (arkouda.timeclass.datetime property)": [[48, "arkouda.timeclass.Datetime.second"]], "seconds (arkouda.timeclass.timedelta property)": [[48, "arkouda.timeclass.Timedelta.seconds"]], "special_objtype (arkouda.timeclass.datetime attribute)": [[48, "arkouda.timeclass.Datetime.special_objType"]], "special_objtype (arkouda.timeclass.timedelta attribute)": [[48, "arkouda.timeclass.Timedelta.special_objType"]], "std() (arkouda.timeclass.timedelta method)": [[48, "arkouda.timeclass.Timedelta.std"]], "sum() (arkouda.timeclass.datetime method)": [[48, "arkouda.timeclass.Datetime.sum"]], "sum() (arkouda.timeclass.timedelta method)": [[48, "arkouda.timeclass.Timedelta.sum"]], "supported_opeq (arkouda.timeclass.datetime attribute)": [[48, "arkouda.timeclass.Datetime.supported_opeq"]], "supported_opeq (arkouda.timeclass.timedelta attribute)": [[48, "arkouda.timeclass.Timedelta.supported_opeq"]], "supported_with_datetime (arkouda.timeclass.datetime attribute)": [[48, "arkouda.timeclass.Datetime.supported_with_datetime"]], "supported_with_datetime (arkouda.timeclass.timedelta attribute)": [[48, "arkouda.timeclass.Timedelta.supported_with_datetime"]], "supported_with_pdarray (arkouda.timeclass.datetime attribute)": [[48, "arkouda.timeclass.Datetime.supported_with_pdarray"]], "supported_with_pdarray (arkouda.timeclass.timedelta attribute)": [[48, "arkouda.timeclass.Timedelta.supported_with_pdarray"]], "supported_with_r_datetime (arkouda.timeclass.datetime attribute)": [[48, "arkouda.timeclass.Datetime.supported_with_r_datetime"]], "supported_with_r_datetime (arkouda.timeclass.timedelta attribute)": [[48, "arkouda.timeclass.Timedelta.supported_with_r_datetime"]], "supported_with_r_pdarray (arkouda.timeclass.datetime attribute)": [[48, "arkouda.timeclass.Datetime.supported_with_r_pdarray"]], "supported_with_r_pdarray (arkouda.timeclass.timedelta attribute)": [[48, "arkouda.timeclass.Timedelta.supported_with_r_pdarray"]], "supported_with_r_timedelta (arkouda.timeclass.datetime attribute)": [[48, "arkouda.timeclass.Datetime.supported_with_r_timedelta"]], "supported_with_r_timedelta (arkouda.timeclass.timedelta attribute)": [[48, "arkouda.timeclass.Timedelta.supported_with_r_timedelta"]], "supported_with_timedelta (arkouda.timeclass.datetime attribute)": [[48, "arkouda.timeclass.Datetime.supported_with_timedelta"]], "supported_with_timedelta (arkouda.timeclass.timedelta attribute)": [[48, "arkouda.timeclass.Timedelta.supported_with_timedelta"]], "timedelta_range() (in module arkouda.timeclass)": [[48, "arkouda.timeclass.timedelta_range"]], "to_pandas() (arkouda.timeclass.datetime method)": [[48, "arkouda.timeclass.Datetime.to_pandas"]], "to_pandas() (arkouda.timeclass.timedelta method)": [[48, "arkouda.timeclass.Timedelta.to_pandas"]], "total_seconds() (arkouda.timeclass.timedelta method)": [[48, 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"convert_if_categorical() (in module arkouda.util)": [[49, "arkouda.util.convert_if_categorical"]], "enrich_inplace() (in module arkouda.util)": [[49, "arkouda.util.enrich_inplace"]], "expand() (in module arkouda.util)": [[49, "arkouda.util.expand"]], "generic_concat() (in module arkouda.util)": [[49, "arkouda.util.generic_concat"]], "get_callback() (in module arkouda.util)": [[49, "arkouda.util.get_callback"]], "identity() (in module arkouda.util)": [[49, "arkouda.util.identity"]], "invert_permutation() (in module arkouda.util)": [[49, "arkouda.util.invert_permutation"]], "is_registered() (in module arkouda.util)": [[49, "arkouda.util.is_registered"]], "most_common() (in module arkouda.util)": [[49, "arkouda.util.most_common"]], "register() (in module arkouda.util)": [[49, "arkouda.util.register"]], "register_all() (in module arkouda.util)": [[49, "arkouda.util.register_all"]], "report_mem() (in module arkouda.util)": [[49, "arkouda.util.report_mem"]], "unregister() (in module arkouda.util)": [[49, "arkouda.util.unregister"]], "unregister_all() (in module arkouda.util)": [[49, "arkouda.util.unregister_all"]], "to_ndarray() (in module arkouda.strings)": [[77, "arkouda.Strings.to_ndarray"], [93, "arkouda.Strings.to_ndarray"]], "to_ndarray() (in module arkouda.pdarray)": [[77, "arkouda.pdarray.to_ndarray"], [88, "arkouda.pdarray.to_ndarray"]], "argsort() (in module arkouda.index)": [[78, "arkouda.Index.argsort"]], "argsort() (in module arkouda.multiindex)": [[78, "arkouda.MultiIndex.argsort"]], "concat() (in module arkouda.index)": [[78, "arkouda.Index.concat"]], "concat() (in module arkouda.multiindex)": [[78, "arkouda.MultiIndex.concat"]], "lookup() (in module arkouda.index)": [[78, "arkouda.Index.lookup"]], "lookup() (in module arkouda.multiindex)": [[78, "arkouda.MultiIndex.lookup"]], "set_dtype() (in module arkouda.index)": [[78, "arkouda.Index.set_dtype"]], "set_dtype() (in module arkouda.multiindex)": [[78, "arkouda.MultiIndex.set_dtype"]], "to_ndarray() (in module arkouda.arrayview)": [[81, "arkouda.ArrayView.to_ndarray"]], "categorical (class in arkouda)": [[82, "arkouda.Categorical"]], "categories (arkouda.categorical attribute)": [[82, "arkouda.Categorical.categories"]], "codes (arkouda.categorical attribute)": [[82, "arkouda.Categorical.codes"]], "contains() (arkouda.categorical method)": [[82, "arkouda.Categorical.contains"]], "endswith() (arkouda.categorical method)": [[82, "arkouda.Categorical.endswith"]], "from_codes() (arkouda.categorical class method)": [[82, "arkouda.Categorical.from_codes"]], "ndim (arkouda.categorical attribute)": [[82, "arkouda.Categorical.ndim"]], "nlevels (arkouda.categorical attribute)": [[82, "arkouda.Categorical.nlevels"]], "permutation (arkouda.categorical attribute)": [[82, "arkouda.Categorical.permutation"]], "segments (arkouda.categorical attribute)": [[82, "arkouda.Categorical.segments"]], "shape (arkouda.categorical attribute)": [[82, "arkouda.Categorical.shape"]], "size (arkouda.categorical attribute)": [[82, "arkouda.Categorical.size"]], "startswith() (arkouda.categorical method)": [[82, "arkouda.Categorical.startswith"]], "to_ndarray() (in module arkouda.categorical)": [[82, "arkouda.Categorical.to_ndarray"]], "apply_permutation() (in module arkouda.dataframe)": [[84, "arkouda.DataFrame.apply_permutation"]], "argsort() (in module arkouda.dataframe)": [[84, "arkouda.DataFrame.argsort"]], "coargsort() (in module arkouda.dataframe)": [[84, "arkouda.DataFrame.coargsort"]], "concat() (in module arkouda.dataframe)": [[84, "arkouda.DataFrame.concat"]], "copy() (in module arkouda.dataframe)": [[84, "arkouda.DataFrame.copy"]], "drop() (in module arkouda.dataframe)": [[84, "arkouda.DataFrame.drop"]], "drop_duplicates() (in module arkouda.dataframe)": [[84, "arkouda.DataFrame.drop_duplicates"]], "groupby() (in module arkouda.dataframe)": [[84, "arkouda.DataFrame.groupby"]], "head() (in module arkouda.dataframe)": [[84, "arkouda.DataFrame.head"]], "rename() (in module 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module arkouda.segarray)": [[89, "arkouda.SegArray.intersect"]], "prepend_single() (in module arkouda.segarray)": [[89, "arkouda.SegArray.prepend_single"]], "remove_repeats() (in module arkouda.segarray)": [[89, "arkouda.SegArray.remove_repeats"]], "set_jth() (in module arkouda.segarray)": [[89, "arkouda.SegArray.set_jth"]], "setdiff() (in module arkouda.segarray)": [[89, "arkouda.SegArray.setdiff"]], "setxor() (in module arkouda.segarray)": [[89, "arkouda.SegArray.setxor"]], "to_ndarray() (in module arkouda.segarray)": [[89, "arkouda.SegArray.to_ndarray"]], "union() (in module arkouda.segarray)": [[89, "arkouda.SegArray.union"]], "head() (in module arkouda.series)": [[90, "arkouda.Series.head"]], "locate() (in module arkouda.series)": [[90, "arkouda.Series.locate"], [90, "id0"]], "pdconcat() (in module arkouda.series)": [[90, "arkouda.Series.pdconcat"]], "sort_index() (in module arkouda.series)": [[90, "arkouda.Series.sort_index"]], "sort_values() (in module arkouda.series)": [[90, "arkouda.Series.sort_values"]], "tail() (in module arkouda.series)": [[90, "arkouda.Series.tail"]], "to_pandas() (in module arkouda.series)": [[90, "arkouda.Series.to_pandas"]], "topn() (in module arkouda.series)": [[90, "arkouda.Series.topn"]], "value_counts() (in module arkouda.series)": [[90, "arkouda.Series.value_counts"]], "connect() (in module arkouda)": [[92, "arkouda.connect"]]}}) \ No newline at end of file diff --git a/usage/IO.html b/usage/IO.html index ce22bc4092..ad718ffbf9 100644 --- a/usage/IO.html +++ b/usage/IO.html @@ -311,7 +311,7 @@

                                Between client and serverReturn type: -

                                pdarray or Strings

                                +

                                pdarray or Strings

                                Raises:
                                diff --git a/usage/pdarray.html b/usage/pdarray.html index 0ea5454d3d..d3ebeda165 100644 --- a/usage/pdarray.html +++ b/usage/pdarray.html @@ -446,7 +446,7 @@

                                Iteration
                                Parameters:
                                  -

                                • pda (pdarray or Strings) – The array of values to cast

                                  • +

                                • pda (pdarray or Strings) – The array of values to cast

                                • dt (np.dtype, type, or str) – The target dtype to cast values to

                                • errors ({strict, ignore, return_validity}) –

                                  Controls how errors are handled when casting strings to a numeric type (ignored for casts from numeric types).

                                  diff --git a/usage/series.html b/usage/series.html index 6a6fa323fc..567e345750 100644 --- a/usage/series.html +++ b/usage/series.html @@ -290,7 +290,7 @@

                                  Series in Arkouda
                                  Parameters: