From 60c11b063e22dbca21cd066cc04d48346075f920 Mon Sep 17 00:00:00 2001 From: "github-merge-queue[bot]" Date: Mon, 18 Mar 2024 15:23:20 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20Bears-R-?= =?UTF-8?q?Us/arkouda@a0bbeba0a6270a644bf260ccd08f7df6a0dd7abd=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- _modules/arkouda/dataframe.html | 63 + _modules/arkouda/series.html | 66 + .../autoapi/arkouda/dataframe/index.rst.txt | 52 + _sources/autoapi/arkouda/index.rst.txt | 158 + _sources/autoapi/arkouda/series/index.rst.txt | 54 + autoapi/arkouda/categorical/index.html | 18 +- autoapi/arkouda/client_dtypes/index.html | 6 +- autoapi/arkouda/dataframe/index.html | 72 +- autoapi/arkouda/groupbyclass/index.html | 24 +- autoapi/arkouda/index.html | 5457 +++++++++-------- autoapi/arkouda/index/index.html | 16 +- 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 | 4 +- autoapi/arkouda/series/index.html | 73 +- autoapi/arkouda/sorting/index.html | 4 +- autoapi/arkouda/strings/index.html | 2 +- autoapi/arkouda/timeclass/index.html | 12 +- file_io/CSV.html | 4 +- file_io/HDF5.html | 8 +- file_io/PARQUET.html | 10 +- genindex.html | 542 +- objects.inv | Bin 13600 -> 13635 bytes searchindex.js | 2 +- usage/IO.html | 6 +- 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 | 4 +- usage/series.html | 2 +- usage/setops.html | 14 +- usage/strings.html | 16 +- 37 files changed, 3727 insertions(+), 3048 deletions(-) diff --git a/_modules/arkouda/dataframe.html b/_modules/arkouda/dataframe.html index 22bf902ab6..0b785f6634 100644 --- a/_modules/arkouda/dataframe.html +++ b/_modules/arkouda/dataframe.html @@ -3020,6 +3020,69 @@

Source code for arkouda.dataframe

             return pd.DataFrame(data=pandas_data)
+
+[docs] + def to_markdown(self, mode="wt", index=True, tablefmt="grid", storage_options=None, **kwargs): + r""" + Print DataFrame in Markdown-friendly format. + + Parameters + ---------- + mode : str, optional + Mode in which file is opened, "wt" by default. + index : bool, optional, default True + Add index (row) labels. + tablefmt: str = "grid" + Table format to call from tablulate: + https://pypi.org/project/tabulate/ + storage_options: dict, optional + Extra options that make sense for a particular storage connection, + e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, + e.g., starting “s3://”, “gcs://”. + An error will be raised if providing this argument with a non-fsspec URL. + See the fsspec and backend storage implementation docs for the set + of allowed keys and values. + **kwargs + These parameters will be passed to tabulate. + + Note + ---- + This function should only be called on small DataFrames as it calls pandas.DataFrame.to_markdown: + https://pandas.pydata.org/pandas-docs/version/1.2.4/reference/api/pandas.DataFrame.to_markdown.html + + Examples + -------- + + >>> import arkouda as ak + >>> ak.connect() + >>> df = ak.DataFrame({"animal_1": ["elk", "pig"], "animal_2": ["dog", "quetzal"]}) + >>> print(df.to_markdown()) + +----+------------+------------+ + | | animal_1 | animal_2 | + +====+============+============+ + | 0 | elk | dog | + +----+------------+------------+ + | 1 | pig | quetzal | + +----+------------+------------+ + + + Suppress the index: + + >>> print(df.to_markdown(index = False)) + +------------+------------+ + | animal_1 | animal_2 | + +============+============+ + | elk | dog | + +------------+------------+ + | pig | quetzal | + +------------+------------+ + + """ + return self.to_pandas().to_markdown( + mode=mode, index=index, tablefmt=tablefmt, storage_options=storage_options, **kwargs + )
+ + def _prep_data(self, index=False, columns=None): # if no columns are stored, we will save all columns if columns is None: diff --git a/_modules/arkouda/series.html b/_modules/arkouda/series.html index 209136353f..058524d33f 100644 --- a/_modules/arkouda/series.html +++ b/_modules/arkouda/series.html @@ -1040,6 +1040,72 @@

Source code for arkouda.series

             return pd.Series(val.to_ndarray(), index=idx)
+
+[docs] + def to_markdown(self, mode="wt", index=True, tablefmt="grid", storage_options=None, **kwargs): + r""" + Print Series in Markdown-friendly format. + + Parameters + ---------- + mode : str, optional + Mode in which file is opened, "wt" by default. + index : bool, optional, default True + Add index (row) labels. + tablefmt: str = "grid" + Table format to call from tablulate: + https://pypi.org/project/tabulate/ + storage_options: dict, optional + Extra options that make sense for a particular storage connection, + e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, + e.g., starting “s3://”, “gcs://”. + An error will be raised if providing this argument with a non-fsspec URL. + See the fsspec and backend storage implementation docs for the set + of allowed keys and values. + + **kwargs + These parameters will be passed to tabulate. + + Note + ---- + This function should only be called on small Series as it calls pandas.Series.to_markdown: + https://pandas.pydata.org/docs/reference/api/pandas.Series.to_markdown.html + + Examples + -------- + + >>> import arkouda as ak + >>> ak.connect() + >>> s = ak.Series(["elk", "pig", "dog", "quetzal"], name="animal") + >>> print(s.to_markdown()) + | | animal | + |---:|:---------| + | 0 | elk | + | 1 | pig | + | 2 | dog | + | 3 | quetzal | + + Output markdown with a tabulate option. + + >>> print(s.to_markdown(tablefmt="grid")) + +----+----------+ + | | animal | + +====+==========+ + | 0 | elk | + +----+----------+ + | 1 | pig | + +----+----------+ + | 2 | dog | + +----+----------+ + | 3 | quetzal | + +----+----------+ + + """ + return self.to_pandas().to_markdown( + mode=mode, index=index, tablefmt=tablefmt, storage_options=storage_options, **kwargs + )
+ +
[docs] @typechecked() diff --git a/_sources/autoapi/arkouda/dataframe/index.rst.txt b/_sources/autoapi/arkouda/dataframe/index.rst.txt index d191d9fff9..5d5b87ec82 100644 --- a/_sources/autoapi/arkouda/dataframe/index.rst.txt +++ b/_sources/autoapi/arkouda/dataframe/index.rst.txt @@ -2140,6 +2140,58 @@ Functions +----+-----+-----+ + .. py:method:: to_markdown(mode='wt', index=True, tablefmt='grid', storage_options=None, **kwargs) + + Print DataFrame in Markdown-friendly format. + + :param mode: Mode in which file is opened, "wt" by default. + :type mode: str, optional + :param index: Add index (row) labels. + :type index: bool, optional, default True + :param tablefmt: Table format to call from tablulate: + https://pypi.org/project/tabulate/ + :type tablefmt: str = "grid" + :param storage_options: Extra options that make sense for a particular storage connection, + e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, + e.g., starting “s3://”, “gcs://”. + An error will be raised if providing this argument with a non-fsspec URL. + See the fsspec and backend storage implementation docs for the set + of allowed keys and values. + :type storage_options: dict, optional + :param \*\*kwargs: These parameters will be passed to tabulate. + + .. note:: + + This function should only be called on small DataFrames as it calls pandas.DataFrame.to_markdown: + https://pandas.pydata.org/pandas-docs/version/1.2.4/reference/api/pandas.DataFrame.to_markdown.html + + .. rubric:: Examples + + >>> import arkouda as ak + >>> ak.connect() + >>> df = ak.DataFrame({"animal_1": ["elk", "pig"], "animal_2": ["dog", "quetzal"]}) + >>> print(df.to_markdown()) + +----+------------+------------+ + | | animal_1 | animal_2 | + +====+============+============+ + | 0 | elk | dog | + +----+------------+------------+ + | 1 | pig | quetzal | + +----+------------+------------+ + + Suppress the index: + + >>> print(df.to_markdown(index = False)) + +------------+------------+ + | animal_1 | animal_2 | + +============+============+ + | elk | dog | + +------------+------------+ + | pig | quetzal | + +------------+------------+ + + + .. py:method:: to_pandas(datalimit=maxTransferBytes, retain_index=False) Send this DataFrame to a pandas DataFrame. diff --git a/_sources/autoapi/arkouda/index.rst.txt b/_sources/autoapi/arkouda/index.rst.txt index c82fd90169..f6d225426b 100644 --- a/_sources/autoapi/arkouda/index.rst.txt +++ b/_sources/autoapi/arkouda/index.rst.txt @@ -4973,6 +4973,58 @@ Attributes +----+-----+-----+ + .. py:method:: to_markdown(mode='wt', index=True, tablefmt='grid', storage_options=None, **kwargs) + + Print DataFrame in Markdown-friendly format. + + :param mode: Mode in which file is opened, "wt" by default. + :type mode: str, optional + :param index: Add index (row) labels. + :type index: bool, optional, default True + :param tablefmt: Table format to call from tablulate: + https://pypi.org/project/tabulate/ + :type tablefmt: str = "grid" + :param storage_options: Extra options that make sense for a particular storage connection, + e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, + e.g., starting “s3://”, “gcs://”. + An error will be raised if providing this argument with a non-fsspec URL. + See the fsspec and backend storage implementation docs for the set + of allowed keys and values. + :type storage_options: dict, optional + :param \*\*kwargs: These parameters will be passed to tabulate. + + .. note:: + + This function should only be called on small DataFrames as it calls pandas.DataFrame.to_markdown: + https://pandas.pydata.org/pandas-docs/version/1.2.4/reference/api/pandas.DataFrame.to_markdown.html + + .. rubric:: Examples + + >>> import arkouda as ak + >>> ak.connect() + >>> df = ak.DataFrame({"animal_1": ["elk", "pig"], "animal_2": ["dog", "quetzal"]}) + >>> print(df.to_markdown()) + +----+------------+------------+ + | | animal_1 | animal_2 | + +====+============+============+ + | 0 | elk | dog | + +----+------------+------------+ + | 1 | pig | quetzal | + +----+------------+------------+ + + Suppress the index: + + >>> print(df.to_markdown(index = False)) + +------------+------------+ + | animal_1 | animal_2 | + +============+============+ + | elk | dog | + +------------+------------+ + | pig | quetzal | + +------------+------------+ + + + .. py:method:: to_pandas(datalimit=maxTransferBytes, retain_index=False) Send this DataFrame to a pandas DataFrame. @@ -7331,6 +7383,58 @@ Attributes +----+-----+-----+ + .. py:method:: to_markdown(mode='wt', index=True, tablefmt='grid', storage_options=None, **kwargs) + + Print DataFrame in Markdown-friendly format. + + :param mode: Mode in which file is opened, "wt" by default. + :type mode: str, optional + :param index: Add index (row) labels. + :type index: bool, optional, default True + :param tablefmt: Table format to call from tablulate: + https://pypi.org/project/tabulate/ + :type tablefmt: str = "grid" + :param storage_options: Extra options that make sense for a particular storage connection, + e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, + e.g., starting “s3://”, “gcs://”. + An error will be raised if providing this argument with a non-fsspec URL. + See the fsspec and backend storage implementation docs for the set + of allowed keys and values. + :type storage_options: dict, optional + :param \*\*kwargs: These parameters will be passed to tabulate. + + .. note:: + + This function should only be called on small DataFrames as it calls pandas.DataFrame.to_markdown: + https://pandas.pydata.org/pandas-docs/version/1.2.4/reference/api/pandas.DataFrame.to_markdown.html + + .. rubric:: Examples + + >>> import arkouda as ak + >>> ak.connect() + >>> df = ak.DataFrame({"animal_1": ["elk", "pig"], "animal_2": ["dog", "quetzal"]}) + >>> print(df.to_markdown()) + +----+------------+------------+ + | | animal_1 | animal_2 | + +====+============+============+ + | 0 | elk | dog | + +----+------------+------------+ + | 1 | pig | quetzal | + +----+------------+------------+ + + Suppress the index: + + >>> print(df.to_markdown(index = False)) + +------------+------------+ + | animal_1 | animal_2 | + +============+============+ + | elk | dog | + +------------+------------+ + | pig | quetzal | + +------------+------------+ + + + .. py:method:: to_pandas(datalimit=maxTransferBytes, retain_index=False) Send this DataFrame to a pandas DataFrame. @@ -14210,6 +14314,60 @@ Attributes .. py:method:: to_list() -> list + .. py:method:: to_markdown(mode='wt', index=True, tablefmt='grid', storage_options=None, **kwargs) + + Print Series in Markdown-friendly format. + + :param mode: Mode in which file is opened, "wt" by default. + :type mode: str, optional + :param index: Add index (row) labels. + :type index: bool, optional, default True + :param tablefmt: Table format to call from tablulate: + https://pypi.org/project/tabulate/ + :type tablefmt: str = "grid" + :param storage_options: Extra options that make sense for a particular storage connection, + e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, + e.g., starting “s3://”, “gcs://”. + An error will be raised if providing this argument with a non-fsspec URL. + See the fsspec and backend storage implementation docs for the set + of allowed keys and values. + :type storage_options: dict, optional + :param \*\*kwargs: These parameters will be passed to tabulate. + + .. note:: + + This function should only be called on small Series as it calls pandas.Series.to_markdown: + https://pandas.pydata.org/docs/reference/api/pandas.Series.to_markdown.html + + .. rubric:: Examples + + >>> import arkouda as ak + >>> ak.connect() + >>> s = ak.Series(["elk", "pig", "dog", "quetzal"], name="animal") + >>> print(s.to_markdown()) + | | animal | + |---:|:---------| + | 0 | elk | + | 1 | pig | + | 2 | dog | + | 3 | quetzal | + + Output markdown with a tabulate option. + + >>> print(s.to_markdown(tablefmt="grid")) + +----+----------+ + | | animal | + +====+==========+ + | 0 | elk | + +----+----------+ + | 1 | pig | + +----+----------+ + | 2 | dog | + +----+----------+ + | 3 | quetzal | + +----+----------+ + + .. py:method:: to_pandas() -> pandas.Series Convert the series to a local PANDAS series diff --git a/_sources/autoapi/arkouda/series/index.rst.txt b/_sources/autoapi/arkouda/series/index.rst.txt index bfb5e2f4d5..54257e0de6 100644 --- a/_sources/autoapi/arkouda/series/index.rst.txt +++ b/_sources/autoapi/arkouda/series/index.rst.txt @@ -406,6 +406,60 @@ Classes .. py:method:: to_list() -> list + .. py:method:: to_markdown(mode='wt', index=True, tablefmt='grid', storage_options=None, **kwargs) + + Print Series in Markdown-friendly format. + + :param mode: Mode in which file is opened, "wt" by default. + :type mode: str, optional + :param index: Add index (row) labels. + :type index: bool, optional, default True + :param tablefmt: Table format to call from tablulate: + https://pypi.org/project/tabulate/ + :type tablefmt: str = "grid" + :param storage_options: Extra options that make sense for a particular storage connection, + e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, + e.g., starting “s3://”, “gcs://”. + An error will be raised if providing this argument with a non-fsspec URL. + See the fsspec and backend storage implementation docs for the set + of allowed keys and values. + :type storage_options: dict, optional + :param \*\*kwargs: These parameters will be passed to tabulate. + + .. note:: + + This function should only be called on small Series as it calls pandas.Series.to_markdown: + https://pandas.pydata.org/docs/reference/api/pandas.Series.to_markdown.html + + .. rubric:: Examples + + >>> import arkouda as ak + >>> ak.connect() + >>> s = ak.Series(["elk", "pig", "dog", "quetzal"], name="animal") + >>> print(s.to_markdown()) + | | animal | + |---:|:---------| + | 0 | elk | + | 1 | pig | + | 2 | dog | + | 3 | quetzal | + + Output markdown with a tabulate option. + + >>> print(s.to_markdown(tablefmt="grid")) + +----+----------+ + | | animal | + +====+==========+ + | 0 | elk | + +----+----------+ + | 1 | pig | + +----+----------+ + | 2 | dog | + +----+----------+ + | 3 | quetzal | + +----+----------+ + + .. py:method:: to_pandas() -> pandas.Series Convert the series to a local PANDAS series diff --git a/autoapi/arkouda/categorical/index.html b/autoapi/arkouda/categorical/index.html index 6c6e475f36..0f0cf343c2 100644 --- a/autoapi/arkouda/categorical/index.html +++ b/autoapi/arkouda/categorical/index.html @@ -310,7 +310,7 @@

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

@@ -321,7 +321,7 @@

Classes#<

The set of category labels (determined automatically)

Type:
-

Strings

+

Strings

@@ -596,7 +596,7 @@

Classes#<
Parameters:
Raises:
-

RegistrationError – if user_defined_name is not registered

+

RegistrationError – if user_defined_name is not registered

@@ -2239,7 +2239,7 @@

Functions

bool

Raises:
-

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

+

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

@@ -3051,7 +3051,7 @@

FunctionsRaises:
@@ -3971,6 +3971,59 @@

Functions +
+to_markdown(mode='wt', index=True, tablefmt='grid', storage_options=None, **kwargs)[source]#
+

Print DataFrame in Markdown-friendly format.

+
+
Parameters:
+
    +

  • mode (str, optional) – Mode in which file is opened, “wt” by default.

    • +

  • index (bool, optional, default True) – Add index (row) labels.

    • +

  • tablefmt (str = "grid") – Table format to call from tablulate: +https://pypi.org/project/tabulate/

    • +

  • storage_options (dict, optional) – Extra options that make sense for a particular storage connection, +e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, +e.g., starting “s3://”, “gcs://”. +An error will be raised if providing this argument with a non-fsspec URL. +See the fsspec and backend storage implementation docs for the set +of allowed keys and values.

    • +

  • **kwargs – These parameters will be passed to tabulate.

    • +
+
+
+
+

Note

+

This function should only be called on small DataFrames as it calls pandas.DataFrame.to_markdown: +https://pandas.pydata.org/pandas-docs/version/1.2.4/reference/api/pandas.DataFrame.to_markdown.html

+
+

Examples

+
>>> import arkouda as ak
+>>> ak.connect()
+>>> df = ak.DataFrame({"animal_1": ["elk", "pig"], "animal_2": ["dog", "quetzal"]})
+>>> print(df.to_markdown())
++----+------------+------------+
+|    | animal_1   | animal_2   |
++====+============+============+
+|  0 | elk        | dog        |
++----+------------+------------+
+|  1 | pig        | quetzal    |
++----+------------+------------+
+
+
+

Suppress the index:

+
>>> print(df.to_markdown(index = False))
++------------+------------+
+| animal_1   | animal_2   |
++============+============+
+| elk        | dog        |
++------------+------------+
+| pig        | quetzal    |
++------------+------------+
+
+
+
+
to_pandas(datalimit=maxTransferBytes, retain_index=False)[source]#
@@ -4162,7 +4215,7 @@

Functions
Raises:
-

RegistrationError – If the object is already unregistered or if there is a server error +

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

@@ -4198,7 +4251,7 @@

FunctionsRaises:
@@ -4359,8 +4412,8 @@

Functions
Parameters:
@@ -766,7 +766,7 @@

Attributes

GroupBy

Raises:
-

RegistrationError – if user_defined_name is not registered

+

RegistrationError – if user_defined_name is not registered

@@ -782,7 +782,7 @@

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.

    • @@ -792,7 +792,7 @@

    Attributes

    The broadcasted values

Return type:
-

pdarray, Strings

+

pdarray, Strings

Raises:
    @@ -922,7 +922,7 @@

    Attributes

    bool

Raises:
-

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

+

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

@@ -1257,7 +1257,7 @@

AttributesRaises:
@@ -1462,7 +1462,7 @@

Attributes
Raises:
-

RegistrationError – If the object is already unregistered or if there is a server error +

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

@@ -1487,7 +1487,7 @@

AttributesRaises:
@@ -1568,7 +1568,7 @@

Attributes @@ -9632,7 +9685,7 @@

Attributes

arkouda.dataframe.DataFrame

Raises:
-

RegistrationError – if user_defined_name is not registered

+

RegistrationError – if user_defined_name is not registered

@@ -9831,7 +9884,7 @@

Attributes

See also

-

pdarray.corr

+

pdarray.corr

Notes

Generates the correlation matrix using Pearson R for all columns.

@@ -10492,12 +10545,12 @@

Attributes

bool

Raises:
-

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

+

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

See also

-

register, attach, unregister, unregister_dataframe_by_name

+

register, attach, unregister, unregister_dataframe_by_name

Notes

Objects registered with the server are immune to deletion until @@ -11304,13 +11357,13 @@

AttributesRaises:

See also

-

unregister, attach, unregister_dataframe_by_name, is_registered

+

unregister, attach, unregister_dataframe_by_name, is_registered

Notes

Objects registered with the server are immune to deletion until @@ -12226,7 +12279,60 @@

Attributes
-to_pandas(datalimit=maxTransferBytes, retain_index=False)[source]#
+to_markdown(mode='wt', index=True, tablefmt='grid', storage_options=None, **kwargs)[source]# +

Print DataFrame in Markdown-friendly format.

+
+
Parameters:
+
    +

  • mode (str, optional) – Mode in which file is opened, “wt” by default.

    • +

  • index (bool, optional, default True) – Add index (row) labels.

    • +

  • tablefmt (str = "grid") – Table format to call from tablulate: +https://pypi.org/project/tabulate/

    • +

  • storage_options (dict, optional) – Extra options that make sense for a particular storage connection, +e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, +e.g., starting “s3://”, “gcs://”. +An error will be raised if providing this argument with a non-fsspec URL. +See the fsspec and backend storage implementation docs for the set +of allowed keys and values.

    • +

  • **kwargs – These parameters will be passed to tabulate.

    • +
+
+
+
+

Note

+

This function should only be called on small DataFrames as it calls pandas.DataFrame.to_markdown: +https://pandas.pydata.org/pandas-docs/version/1.2.4/reference/api/pandas.DataFrame.to_markdown.html

+
+

Examples

+
>>> import arkouda as ak
+>>> ak.connect()
+>>> df = ak.DataFrame({"animal_1": ["elk", "pig"], "animal_2": ["dog", "quetzal"]})
+>>> print(df.to_markdown())
++----+------------+------------+
+|    | animal_1   | animal_2   |
++====+============+============+
+|  0 | elk        | dog        |
++----+------------+------------+
+|  1 | pig        | quetzal    |
++----+------------+------------+
+
+
+

Suppress the index:

+
>>> print(df.to_markdown(index = False))
++------------+------------+
+| animal_1   | animal_2   |
++============+============+
+| elk        | dog        |
++------------+------------+
+| pig        | quetzal    |
++------------+------------+
+
+
+
+ +
+
+to_pandas(datalimit=maxTransferBytes, retain_index=False)[source]#

Send this DataFrame to a pandas DataFrame.

Parameters:
@@ -12304,8 +12410,8 @@

Attributes -
-to_parquet(path, index=False, columns=None, compression: str | None = None, convert_categoricals: bool = False)[source]#
+
+to_parquet(path, index=False, columns=None, compression: str | None = None, convert_categoricals: bool = False)[source]#

Save DataFrame to disk as parquet, preserving column names.

Parameters:
@@ -12372,8 +12478,8 @@

Attributes -
-transfer(hostname, port)[source]#
+
+transfer(hostname, port)[source]#

Sends a DataFrame to a different Arkouda server.

Parameters:
@@ -12409,19 +12515,19 @@

Attributes -
-unregister()[source]#
+
+unregister()[source]#

Unregister this DataFrame 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 +

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

See also

-

register, attach, unregister_dataframe_by_name, is_registered

+

register, attach, unregister_dataframe_by_name, is_registered

Notes

Objects registered with the server are immune to deletion until @@ -12440,8 +12546,8 @@

Attributes -
-static unregister_dataframe_by_name(user_defined_name: str) → str[source]#
+
+static unregister_dataframe_by_name(user_defined_name: str) → str[source]#

Function to unregister DataFrame object by name which was registered with the arkouda server via register().

@@ -12451,7 +12557,7 @@

AttributesRaises:

@@ -12473,8 +12579,8 @@

Attributes -
-update_hdf(prefix_path: str, index=False, columns=None, repack: bool = True)[source]#
+
+update_hdf(prefix_path: str, index=False, columns=None, repack: bool = True)[source]#

Overwrite the dataset with the name provided with this dataframe. If the dataset does not exist it is added.

@@ -12567,8 +12673,8 @@

Attributes -
-update_nrows()[source]#
+
+update_nrows()[source]#

Computes the number of rows on the arkouda server and updates the size parameter.

@@ -12751,12 +12857,12 @@

Attributes

numpy.bool

Raises:
-

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

+

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

See also

-

register, attach, unregister

+

register, attach, unregister

Notes

Objects registered with the server are immune to deletion until @@ -12784,12 +12890,12 @@

AttributesReturn type: -

Datetime

+

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

    • +

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

@@ -12826,13 +12932,13 @@

Attributes
Raises:
-

RegistrationError – If the object is already unregistered or if there is a server error +

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

See also

-

register, attach, is_registered

+

register, attach, is_registered

Notes

Objects registered with the server are immune to deletion until @@ -12842,8 +12948,8 @@

Attributes -
-class arkouda.Datetime(pda, unit: str = _BASE_UNIT)[source]#
+
+class arkouda.Datetime(pda, unit: str = _BASE_UNIT)[source]#

Bases: _AbstractBaseTime

Represents a date and/or time.

Datetime is the Arkouda analog to pandas DatetimeIndex and @@ -12873,139 +12979,139 @@

AttributesNotes

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

-
-
-property date#
-
-
-property day#
+property date#
-property day_of_week#
+property day#
-property day_of_year#
+property day_of_week#
-property dayofweek#
+property day_of_year#
-property dayofyear#
+property dayofweek#
-property hour#
+property dayofyear#
-property is_leap_year#
+property hour#
-property microsecond#
+property is_leap_year#
-property millisecond#
+property microsecond#
-property minute#
+property millisecond#
-property month#
+property minute#
-property nanosecond#
+property month#
-property second#
+property nanosecond#
-property week#
+property second#
-property weekday#
+property week#
-property weekofyear#
+property weekday#
-property year#
+property weekofyear#
-
+
-special_objType = 'Datetime'#
+property year#
-supported_opeq#
+special_objType = 'Datetime'#
-supported_with_datetime#
+supported_opeq#
-supported_with_pdarray#
+supported_with_datetime#
-supported_with_r_datetime#
+supported_with_pdarray#
-supported_with_r_pdarray#
+supported_with_r_datetime#
-supported_with_r_timedelta#
+supported_with_r_pdarray#
-supported_with_timedelta#
+supported_with_r_timedelta#
-
+
-is_registered() → numpy.bool_[source]#
+supported_with_timedelta# +
+ +
+
+is_registered() → numpy.bool_[source]#

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

@@ -13018,12 +13124,12 @@

Attributes

numpy.bool

Raises:
-

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

+

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

See also

-

register, attach, unregister

+

register, attach, unregister

Notes

Objects registered with the server are immune to deletion until @@ -13031,13 +13137,13 @@

Attributes -
-isocalendar()[source]#
+
+isocalendar()[source]#

-
-register(user_defined_name)[source]#
+
+register(user_defined_name)[source]#

Register this Datetime object and underlying components with the Arkouda server

Parameters:
@@ -13051,12 +13157,12 @@

AttributesReturn type: -

Datetime

+

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

    • +

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

@@ -13070,14 +13176,14 @@

Attributes -
-sum()[source]#
+
+sum()[source]#

Return the sum of all elements in the array.

-
-to_pandas()[source]#
+
+to_pandas()[source]#

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

@@ -13087,19 +13193,19 @@

Attributes -
-unregister()[source]#
+
+unregister()[source]#

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 +

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

See also

-

register, attach, is_registered

+

register, attach, is_registered

Notes

Objects registered with the server are immune to deletion until @@ -13109,8 +13215,8 @@

Attributes -
-class arkouda.Datetime(pda, unit: str = _BASE_UNIT)[source]#
+
+class arkouda.Datetime(pda, unit: str = _BASE_UNIT)[source]#

Bases: _AbstractBaseTime

Represents a date and/or time.

Datetime is the Arkouda analog to pandas DatetimeIndex and @@ -13140,139 +13246,139 @@

AttributesNotes

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

-
-
-property date#
-
-
-property day#
+property date#
-property day_of_week#
+property day#
-property day_of_year#
+property day_of_week#
-property dayofweek#
+property day_of_year#
-property dayofyear#
+property dayofweek#
-property hour#
+property dayofyear#
-property is_leap_year#
+property hour#
-property microsecond#
+property is_leap_year#
-property millisecond#
+property microsecond#
-property minute#
+property millisecond#
-property month#
+property minute#
-property nanosecond#
+property month#
-property second#
+property nanosecond#
-property week#
+property second#
-property weekday#
+property week#
-property weekofyear#
+property weekday#
-property year#
+property weekofyear#
-
+
-special_objType = 'Datetime'#
+property year#
-supported_opeq#
+special_objType = 'Datetime'#
-supported_with_datetime#
+supported_opeq#
-supported_with_pdarray#
+supported_with_datetime#
-supported_with_r_datetime#
+supported_with_pdarray#
-supported_with_r_pdarray#
+supported_with_r_datetime#
-supported_with_r_timedelta#
+supported_with_r_pdarray#
-supported_with_timedelta#
+supported_with_r_timedelta#
-
+
-is_registered() → numpy.bool_[source]#
+supported_with_timedelta# +
+ +
+
+is_registered() → numpy.bool_[source]#

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

@@ -13285,12 +13391,12 @@

Attributes

numpy.bool

Raises:
-

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

+

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

See also

-

register, attach, unregister

+

register, attach, unregister

Notes

Objects registered with the server are immune to deletion until @@ -13298,13 +13404,13 @@

Attributes -
-isocalendar()[source]#
+
+isocalendar()[source]#

-
-register(user_defined_name)[source]#
+
+register(user_defined_name)[source]#

Register this Datetime object and underlying components with the Arkouda server

Parameters:
@@ -13318,12 +13424,12 @@

AttributesReturn type: -

Datetime

+

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

    • +

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

@@ -13337,14 +13443,14 @@

Attributes -
-sum()[source]#
+
+sum()[source]#

Return the sum of all elements in the array.

-
-to_pandas()[source]#
+
+to_pandas()[source]#

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

@@ -13354,19 +13460,19 @@

Attributes -
-unregister()[source]#
+
+unregister()[source]#

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 +

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

See also

-

register, attach, is_registered

+

register, attach, is_registered

Notes

Objects registered with the server are immune to deletion until @@ -13441,7 +13547,7 @@

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.

    • @@ -13578,7 +13684,7 @@

    Attributes

    See also

    -

    uniform

    +

    uniform

Examples

>>> rng = ak.random.default_rng()
@@ -13663,7 +13769,7 @@ 
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)
    • 
 

 

@@ -13707,7 +13813,7 @@ 
Attributes
 
Type:

-
(list of) pdarray, Strings, or Categorical

+
(list of) pdarray, Strings, or Categorical

@@ -14089,7 +14195,7 @@

Attributes

GroupBy

Raises:
-

RegistrationError – if user_defined_name is not registered

+

RegistrationError – if user_defined_name is not registered

@@ -14105,7 +14211,7 @@

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.

    • @@ -14115,7 +14221,7 @@

    Attributes

    The broadcasted values

Return type:
-

pdarray, Strings

+

pdarray, Strings

Raises:
    @@ -14245,7 +14351,7 @@

    Attributes

    bool

Raises:
-

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

+

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

@@ -14580,7 +14686,7 @@

AttributesRaises:
@@ -14594,8 +14700,8 @@

Attributes -
-size() → Tuple[groupable, arkouda.pdarrayclass.pdarray][source]#
+
+size() → Tuple[groupable, arkouda.pdarrayclass.pdarray][source]#

Count the number of elements in each group, i.e. the number of times each key appears. This counts the total number of rows (including NaN values).

@@ -14785,7 +14891,7 @@

Attributes
Raises:
-

RegistrationError – If the object is already unregistered or if there is a server error +

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

@@ -14810,7 +14916,7 @@

AttributesRaises:
@@ -14883,21 +14989,21 @@

Attributes -
-class arkouda.GroupBy(keys: groupable | None = None, assume_sorted: bool = False, dropna: bool = True, **kwargs)[source]#
+
+class arkouda.GroupBy(keys: groupable | None = None, assume_sorted: bool = False, dropna: bool = True, **kwargs)[source]#

Group an array or list of arrays by value, usually in preparation for aggregating the within-group values of another array.

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)

-
-nkeys#
+
+nkeys#

The number of key arrays (columns)

Type:
@@ -14907,8 +15013,8 @@

Attributes -
-size[source]#
+
+size[source]#

The length of the input array(s), i.e. number of rows

Type:
@@ -14918,8 +15024,8 @@

Attributes -
-permutation#
+
+permutation#

The permutation that sorts the keys array(s) by value (row)

Type:
@@ -14929,19 +15035,19 @@

Attributes -
-unique_keys#
+
+unique_keys#

The unique values of the keys array(s), in grouped order

Type:
-

(list of) pdarray, Strings, or Categorical

+

(list of) pdarray, Strings, or Categorical

-
-ngroups#
+
+ngroups#

The length of the unique_keys array(s), i.e. number of groups

Type:
@@ -14951,8 +15057,8 @@

Attributes -
-segments#
+
+segments#

The start index of each group in the grouped array(s)

Type:
@@ -14962,8 +15068,8 @@

Attributes -
-logger#
+
+logger#

Used for all logging operations

Type:
@@ -14973,8 +15079,8 @@

Attributes -
-dropna#
+
+dropna#

If True, and the groupby keys contain NaN values, the NaN values together with the corresponding row will be dropped. Otherwise, the rows corresponding to NaN values will be kept.

@@ -15006,18 +15112,18 @@

Attributes -
-Reductions#
+
+Reductions#

-
-objType = 'GroupBy'#
+
+objType = 'GroupBy'#
-
-AND(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#
+
+AND(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#

Bitwise AND of values in each segment.

Using the permutation stored in the GroupBy instance, group another array of values and perform a bitwise AND reduction on @@ -15046,8 +15152,8 @@

Attributes -
-OR(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#
+
+OR(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#

Bitwise OR of values in each segment.

Using the permutation stored in the GroupBy instance, group another array of values and perform a bitwise OR reduction on @@ -15076,8 +15182,8 @@

Attributes -
-XOR(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#
+
+XOR(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#

Bitwise XOR of values in each segment.

Using the permutation stored in the GroupBy instance, group another array of values and perform a bitwise XOR reduction on @@ -15106,8 +15212,8 @@

Attributes -
-aggregate(values: groupable, operator: str, skipna: bool = True, ddof: arkouda.dtypes.int_scalars = 1) → Tuple[groupable, groupable][source]#
+
+aggregate(values: groupable, operator: str, skipna: bool = True, ddof: arkouda.dtypes.int_scalars = 1) → Tuple[groupable, groupable][source]#

Using the permutation stored in the GroupBy instance, group another array of values and apply a reduction to each group’s values.

@@ -15154,8 +15260,8 @@

Attributes -
-all(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#
+
+all(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#

Using the permutation stored in the GroupBy instance, group another array of values and perform an “and” reduction on each group.

@@ -15183,8 +15289,8 @@

Attributes -
-any(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#
+
+any(values: arkouda.pdarrayclass.pdarray) → Tuple[arkouda.pdarrayclass.pdarray | List[arkouda.pdarrayclass.pdarray | arkouda.strings.Strings], arkouda.pdarrayclass.pdarray][source]#

Using the permutation stored in the GroupBy instance, group another array of values and perform an “or” reduction on each group.

@@ -15210,8 +15316,8 @@

Attributes -
-argmax(values: arkouda.pdarrayclass.pdarray) → Tuple[groupable, arkouda.pdarrayclass.pdarray][source]#
+
+argmax(values: arkouda.pdarrayclass.pdarray) → Tuple[groupable, arkouda.pdarrayclass.pdarray][source]#

Using the permutation stored in the GroupBy instance, group another array of values and return the location of the first maximum of each group’s values.

@@ -15255,8 +15361,8 @@

Attributes -
-argmin(values: arkouda.pdarrayclass.pdarray) → Tuple[groupable, arkouda.pdarrayclass.pdarray][source]#
+
+argmin(values: arkouda.pdarrayclass.pdarray) → Tuple[groupable, arkouda.pdarrayclass.pdarray][source]#

Using the permutation stored in the GroupBy instance, group another array of values and return the location of the first minimum of each group’s values.

@@ -15301,8 +15407,8 @@

Attributes -
-static attach(user_defined_name: str) → GroupBy[source]#
+
+static attach(user_defined_name: str) → GroupBy[source]#

Function to return a GroupBy object attached to the registered name in the arkouda server which was registered using register()

@@ -15316,7 +15422,7 @@

Attributes

GroupBy

Raises:
-

RegistrationError – if user_defined_name is not registered

+

RegistrationError – if user_defined_name is not registered

@@ -15326,13 +15432,13 @@

Attributes -
-broadcast(values: arkouda.pdarrayclass.pdarray | arkouda.strings.Strings, permute: bool = True) → arkouda.pdarrayclass.pdarray | arkouda.strings.Strings[source]#
+
+broadcast(values: arkouda.pdarrayclass.pdarray | arkouda.strings.Strings, permute: bool = True) → arkouda.pdarrayclass.pdarray | arkouda.strings.Strings[source]#

Fill each group’s segment with a constant value.

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.

    • @@ -15342,7 +15448,7 @@

    Attributes

    The broadcasted values

Return type:
-

pdarray, Strings

+

pdarray, Strings

Raises:

-

`) at this time.

+

`) at this time.

-
-to_cuda()[source]#
+
+to_cuda()[source]#

Convert the array to a Numba DeviceND array, transferring array data from the arkouda server to Python via ndarray. If the array exceeds a builtin size limit, a RuntimeError is raised.

@@ -39375,8 +39537,8 @@

Return Type

-
-to_hdf(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', file_type: str = 'distribute') → str[source]#
+
+to_hdf(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', file_type: str = 'distribute') → str[source]#

Save the pdarray 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 @@ -39433,8 +39595,8 @@

Return Type

-
-to_list() → List[source]#
+
+to_list() → List[source]#

Convert the array to a list, transferring array data from the Arkouda server to client-side Python. Note: if the pdarray size exceeds client.maxTransferBytes, a RuntimeError is raised.

@@ -39476,8 +39638,8 @@

Return Type

-
-to_ndarray() → numpy.ndarray[source]#
+
+to_ndarray() → numpy.ndarray[source]#

Convert the array to a np.ndarray, transferring array data from the Arkouda server to client-side Python. Note: if the pdarray size exceeds client.maxTransferBytes, a RuntimeError is raised.

@@ -39504,7 +39666,7 @@

Return Type value, but proceed with caution.

See also

-

array, to_list

+

array, to_list

Examples

>>> a = ak.arange(0, 5, 1)
@@ -39519,8 +39681,8 @@ 
Return Type

-
-to_parquet(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', compression: str | None = None) → str[source]#
+
+to_parquet(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', compression: str | None = None) → str[source]#

Save the pdarray 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 @@ -39573,8 +39735,8 @@

Return Type

-
-transfer(hostname: str, port: arkouda.dtypes.int_scalars)[source]#
+
+transfer(hostname: str, port: arkouda.dtypes.int_scalars)[source]#

Sends a pdarray to a different Arkouda server

Parameters:
@@ -39607,8 +39769,8 @@

Return Type

-
-unregister() → None[source]#
+
+unregister() → None[source]#

Unregister a pdarray in the arkouda server which was previously registered using register() and/or attahced to using attach()

@@ -39621,7 +39783,7 @@

Return Type

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 @@ -39638,8 +39800,8 @@

Return Type

-
-update_hdf(prefix_path: str, dataset: str = 'array', repack: bool = True)[source]#
+
+update_hdf(prefix_path: str, dataset: str = 'array', repack: bool = True)[source]#

Overwrite the dataset with the name provided with this pdarray. If the dataset does not exist it is added

@@ -39670,8 +39832,8 @@

Return Type

-
-value_counts()[source]#
+
+value_counts()[source]#

Count the occurrences of the unique values of self.

Returns:
@@ -39690,8 +39852,8 @@

Return Type

-
-var(ddof: arkouda.dtypes.int_scalars = 0) → numpy.float64[source]#
+
+var(ddof: arkouda.dtypes.int_scalars = 0) → numpy.float64[source]#

Compute the variance. See arkouda.var for details.

Parameters:
@@ -39716,8 +39878,8 @@

Return Type

-
-class arkouda.pdarray(name: str, mydtype: numpy.dtype | str, size: arkouda.dtypes.int_scalars, ndim: arkouda.dtypes.int_scalars, shape: Sequence[int], itemsize: arkouda.dtypes.int_scalars, max_bits: int | None = None)[source]#
+
+class arkouda.pdarray(name: str, mydtype: numpy.dtype | str, size: arkouda.dtypes.int_scalars, ndim: arkouda.dtypes.int_scalars, shape: Sequence[int], itemsize: arkouda.dtypes.int_scalars, max_bits: int | None = None)[source]#

The basic arkouda array class. This class contains only the attributies of the array; the data resides on the arkouda server. When a server operation results in a new array, arkouda @@ -39725,8 +39887,8 @@

Return Type the server. As such, the user should not initialize pdarray instances directly.

-
-name#
+
+name#

The server-side identifier for the array

Type:
@@ -39736,8 +39898,8 @@

Return Type

-
-dtype#
+
+dtype#

The element type of the array

Type:
@@ -39747,8 +39909,8 @@

Return Type

-
-size#
+
+size#

The number of elements in the array

Type:
@@ -39758,8 +39920,8 @@

Return Type

-
-ndim#
+
+ndim#

The rank of the array (currently only rank 1 arrays supported)

Type:
@@ -39769,8 +39931,8 @@

Return Type

-
-shape#
+
+shape#

A list or tuple containing the sizes of each dimension of the array

Type:
@@ -39780,8 +39942,8 @@

Return Type

-
-itemsize#
+
+itemsize#

The size in bytes of each element

Type:
@@ -39791,13 +39953,13 @@

Return Type

-
-property max_bits#
+
+property max_bits#
-
-property nbytes#
+
+property nbytes#

The size of the pdarray in bytes.

Returns:
@@ -39810,41 +39972,41 @@

Return Type

-
-BinOps#
+
+BinOps#
-
-OpEqOps#
+
+OpEqOps#
-
-objType = 'pdarray'#
+
+objType = 'pdarray'#
-
-all() → numpy.bool_[source]#
+
+all() → numpy.bool_[source]#

Return True iff all elements of the array evaluate to True.

-
-any() → numpy.bool_[source]#
+
+any() → numpy.bool_[source]#

Return True iff any element of the array evaluates to True.

-
-argmax() → numpy.int64 | numpy.uint64[source]#
+
+argmax() → numpy.int64 | numpy.uint64[source]#

Return the index of the first occurrence of the array max value.

-
-argmaxk(k: arkouda.dtypes.int_scalars) → pdarray[source]#
+
+argmaxk(k: arkouda.dtypes.int_scalars) → pdarray[source]#

Finds the indices corresponding to the maximum “k” values.

Parameters:
@@ -39863,14 +40025,14 @@

Return Type

-
-argmin() → numpy.int64 | numpy.uint64[source]#
+
+argmin() → numpy.int64 | numpy.uint64[source]#

Return the index of the first occurrence of the array min value

-
-argmink(k: arkouda.dtypes.int_scalars) → pdarray[source]#
+
+argmink(k: arkouda.dtypes.int_scalars) → pdarray[source]#

Compute the minimum “k” values.

Parameters:
@@ -39889,8 +40051,8 @@

Return Type

-
-astype(dtype) → pdarray[source]#
+
+astype(dtype) → pdarray[source]#

Cast values of pdarray to provided dtype

Parameters:
@@ -39908,8 +40070,8 @@

Return Type

-
-static attach(user_defined_name: str) → pdarray[source]#
+
+static attach(user_defined_name: str) → pdarray[source]#

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

@@ -39929,7 +40091,7 @@

Return Type

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 @@ -39946,8 +40108,8 @@

Return Type

-
-bigint_to_uint_arrays() → List[pdarray][source]#
+
+bigint_to_uint_arrays() → List[pdarray][source]#

Creates a list of uint pdarrays from a bigint pdarray. The first item in return will be the highest 64 bits of the bigint pdarray and the last item will be the lowest 64 bits.

@@ -39982,14 +40144,14 @@

Return Type

-
-clz() → pdarray[source]#
+
+clz() → pdarray[source]#

Count the number of leading zeros in each element. See ak.clz.

-
-corr(y: pdarray) → numpy.float64[source]#
+
+corr(y: pdarray) → numpy.float64[source]#

Compute the correlation between self and y using pearson correlation coefficient.

Parameters:
@@ -40011,8 +40173,8 @@

Return Type

-
-cov(y: pdarray) → numpy.float64[source]#
+
+cov(y: pdarray) → numpy.float64[source]#

Compute the covariance between self and y.

Parameters:
@@ -40034,14 +40196,14 @@

Return Type

-
-ctz() → pdarray[source]#
+
+ctz() → pdarray[source]#

Count the number of trailing zeros in each element. See ak.ctz.

-
-fill(value: arkouda.dtypes.numeric_scalars) → None[source]#
+
+fill(value: arkouda.dtypes.numeric_scalars) → None[source]#

Fill the array (in place) with a constant value.

Parameters:
@@ -40054,8 +40216,8 @@

Return Type

-
-format_other(other) → str[source]#
+
+format_other(other) → str[source]#

Attempt to cast scalar other to the element dtype of this pdarray, and print the resulting value to a string (e.g. for sending to a server command). The user should not call this function directly.

@@ -40074,8 +40236,8 @@

Return Type

-
-info() → str[source]#
+
+info() → str[source]#

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

Parameters:
@@ -40091,8 +40253,8 @@

Return Type

-
-is_registered() → numpy.bool_[source]#
+
+is_registered() → numpy.bool_[source]#

Return True iff the object is contained in the registry

Parameters:
@@ -40116,8 +40278,8 @@

Return Type

-
-is_sorted() → numpy.bool_[source]#
+
+is_sorted() → numpy.bool_[source]#

Return True iff the array is monotonically non-decreasing.

Parameters:
@@ -40139,14 +40301,14 @@

Return Type

-
-max() → arkouda.dtypes.numpy_scalars[source]#
+
+max() → arkouda.dtypes.numpy_scalars[source]#

Return the maximum value of the array.

-
-maxk(k: arkouda.dtypes.int_scalars) → pdarray[source]#
+
+maxk(k: arkouda.dtypes.int_scalars) → pdarray[source]#

Compute the maximum “k” values.

Parameters:
@@ -40165,20 +40327,20 @@

Return Type

-
-mean() → numpy.float64[source]#
+
+mean() → numpy.float64[source]#

Return the mean of the array.

-
-min() → arkouda.dtypes.numpy_scalars[source]#
+
+min() → arkouda.dtypes.numpy_scalars[source]#

Return the minimum value of the array.

-
-mink(k: arkouda.dtypes.int_scalars) → pdarray[source]#
+
+mink(k: arkouda.dtypes.int_scalars) → pdarray[source]#

Compute the minimum “k” values.

Parameters:
@@ -40197,25 +40359,25 @@

Return Type

-
-opeq(other, op)[source]#
+
+opeq(other, op)[source]#
-
-parity() → pdarray[source]#
+
+parity() → pdarray[source]#

Find the parity (XOR of all bits) in each element. See ak.parity.

-
-popcount() → pdarray[source]#
+
+popcount() → pdarray[source]#

Find the population (number of bits set) in each element. See ak.popcount.

-
-pretty_print_info() → None[source]#
+
+pretty_print_info() → None[source]#

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

Parameters:
@@ -40228,15 +40390,15 @@

Return Type

-
-prod() → numpy.float64[source]#
+
+prod() → numpy.float64[source]#

Return the product of all elements in the array. Return value is always a np.float64 or np.int64.

-
-register(user_defined_name: str) → pdarray[source]#
+
+register(user_defined_name: str) → pdarray[source]#

Register this pdarray with a user defined name in the arkouda server so it can be attached to later using pdarray.attach() This is an in-place operation, registering a pdarray more than once will @@ -40258,7 +40420,7 @@

Return Type
Raises:
@@ -40283,8 +40445,8 @@

Return Type

-
-reshape(*shape, order='row_major')[source]#
+
+reshape(*shape, order='row_major')[source]#

Gives a new shape to an array without changing its data.

Parameters:
@@ -40307,20 +40469,20 @@

Return Type

-
-rotl(other) → pdarray[source]#
+
+rotl(other) → pdarray[source]#

Rotate bits left by <other>.

-
-rotr(other) → pdarray[source]#
+
+rotr(other) → pdarray[source]#

Rotate bits right by <other>.

-
-save(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', compression: str | None = None, file_format: str = 'HDF5', file_type: str = 'distribute') → str[source]#
+
+save(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', compression: str | None = None, file_format: str = 'HDF5', file_type: str = 'distribute') → str[source]#

DEPRECATED Save the pdarray to HDF5 or Parquet. The result is a collection of files, one file per locale of the arkouda server, where each filename starts @@ -40398,8 +40560,8 @@

Return Type

-
-slice_bits(low, high) → pdarray[source]#
+
+slice_bits(low, high) → pdarray[source]#

Returns a pdarray containing only bits from low to high of self.

This is zero indexed and inclusive on both ends, so slicing the bottom 64 bits is pda.slice_bits(0, 63)

@@ -40434,8 +40596,8 @@

Return Type

-
-std(ddof: arkouda.dtypes.int_scalars = 0) → numpy.float64[source]#
+
+std(ddof: arkouda.dtypes.int_scalars = 0) → numpy.float64[source]#

Compute the standard deviation. See arkouda.std for details.

Parameters:
@@ -40457,14 +40619,14 @@

Return Type

-
-sum() → arkouda.dtypes.numeric_and_bool_scalars[source]#
+
+sum() → arkouda.dtypes.numeric_and_bool_scalars[source]#

Return the sum of all elements in the array.

-
-to_csv(prefix_path: str, dataset: str = 'array', col_delim: str = ',', overwrite: bool = False)[source]#
+
+to_csv(prefix_path: str, dataset: str = 'array', col_delim: str = ',', overwrite: bool = False)[source]#

Write pdarray to CSV file(s). File will contain a single column with the pdarray data. All CSV Files written by Arkouda include a header denoting data types of the columns.

@@ -40500,12 +40662,12 @@

Return Type

  • All CSV files must delimit rows using newline (`

    • -

    `) at this time.

    +

    `) at this time.

    -
    -to_cuda()[source]#
    +
    +to_cuda()[source]#

    Convert the array to a Numba DeviceND array, transferring array data from the arkouda server to Python via ndarray. If the array exceeds a builtin size limit, a RuntimeError is raised.

    @@ -40550,8 +40712,8 @@

    Return Type

    -
    -to_hdf(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', file_type: str = 'distribute') → str[source]#
    +
    +to_hdf(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', file_type: str = 'distribute') → str[source]#

    Save the pdarray 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 @@ -40608,8 +40770,8 @@

    Return Type

    -
    -to_list() → List[source]#
    +
    +to_list() → List[source]#

    Convert the array to a list, transferring array data from the Arkouda server to client-side Python. Note: if the pdarray size exceeds client.maxTransferBytes, a RuntimeError is raised.

    @@ -40651,8 +40813,8 @@

    Return Type

    -
    -to_ndarray() → numpy.ndarray[source]#
    +
    +to_ndarray() → numpy.ndarray[source]#

    Convert the array to a np.ndarray, transferring array data from the Arkouda server to client-side Python. Note: if the pdarray size exceeds client.maxTransferBytes, a RuntimeError is raised.

    @@ -40679,7 +40841,7 @@

    Return Type value, but proceed with caution.

    See also

    -

    array, to_list

    +

    array, to_list

    Examples

    >>> a = ak.arange(0, 5, 1)
@@ -40694,8 +40856,8 @@ 
    Return Type

    -
    -to_parquet(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', compression: str | None = None) → str[source]#
    +
    +to_parquet(prefix_path: str, dataset: str = 'array', mode: str = 'truncate', compression: str | None = None) → str[source]#

    Save the pdarray 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 @@ -40748,8 +40910,8 @@

    Return Type

    -
    -transfer(hostname: str, port: arkouda.dtypes.int_scalars)[source]#
    +
    +transfer(hostname: str, port: arkouda.dtypes.int_scalars)[source]#

    Sends a pdarray to a different Arkouda server

    Parameters:
    @@ -40782,8 +40944,8 @@

    Return Type

    -
    -unregister() → None[source]#
    +
    +unregister() → None[source]#

    Unregister a pdarray in the arkouda server which was previously registered using register() and/or attahced to using attach()

    @@ -40796,7 +40958,7 @@

    Return Type

    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 @@ -40813,8 +40975,8 @@

    Return Type

    -
    -update_hdf(prefix_path: str, dataset: str = 'array', repack: bool = True)[source]#
    +
    +update_hdf(prefix_path: str, dataset: str = 'array', repack: bool = True)[source]#

    Overwrite the dataset with the name provided with this pdarray. If the dataset does not exist it is added

    @@ -40845,8 +41007,8 @@

    Return Type

    -
    -value_counts()[source]#
    +
    +value_counts()[source]#

    Count the occurrences of the unique values of self.

    Returns:
    @@ -40865,8 +41027,8 @@

    Return Type

    -
    -var(ddof: arkouda.dtypes.int_scalars = 0) → numpy.float64[source]#
    +
    +var(ddof: arkouda.dtypes.int_scalars = 0) → numpy.float64[source]#

    Compute the variance. See arkouda.var for details.

    Parameters:
    @@ -41170,8 +41332,8 @@

    Return Type

    -
    -arkouda.randint(low: arkouda.dtypes.numeric_scalars, high: arkouda.dtypes.numeric_scalars, size: arkouda.dtypes.int_scalars | Tuple[arkouda.dtypes.int_scalars, Ellipsis] = 1, dtype=akint64, seed: arkouda.dtypes.int_scalars = None) → arkouda.pdarrayclass.pdarray[source]#
    +
    +arkouda.randint(low: arkouda.dtypes.numeric_scalars, high: arkouda.dtypes.numeric_scalars, size: arkouda.dtypes.int_scalars | Tuple[arkouda.dtypes.int_scalars, Ellipsis] = 1, dtype=akint64, seed: arkouda.dtypes.int_scalars = None) → arkouda.pdarrayclass.pdarray[source]#

    Generate a pdarray of randomized int, float, or bool values in a specified range bounded by the low and high parameters.

    @@ -41249,7 +41411,7 @@

    Return Type

    The Strings object encapsulating a pdarray of random strings

    Return type:
    -

    Strings

    +

    Strings

    Raises:

    -class arkouda.index.Index(values: List | arkouda.pdarrayclass.pdarray | arkouda.Strings | arkouda.Categorical | pandas.Index | Index, name: str | None = None, allow_list=False, max_list_size=1000)[source]#
    +class arkouda.index.Index(values: List | arkouda.pdarrayclass.pdarray | arkouda.Strings | arkouda.Categorical | pandas.Index | Index, name: str | None = None, allow_list=False, max_list_size=1000)[source]#
    property index#
    @@ -332,7 +332,7 @@

    Classes#<
    Parameters:
    @@ -472,7 +472,7 @@

    Classes#<
    Raises:

    @@ -717,7 +717,7 @@

    Classes#< registered using register() and/or attached to using attach()

    Raises:
    -

    RegistrationError – If the object is already unregistered or if there is a server error +

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

    @@ -806,7 +806,7 @@

    Classes#<

    numpy.bool

    Raises:
    -

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

    +

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

    @@ -873,7 +873,7 @@

    Classes#<
    Raises:
    @@ -963,7 +963,7 @@

    Classes#< registered using register() and/or attached to using attach()

    Raises:
    -

    RegistrationError – If the object is already unregistered or if there is a server error +

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

    diff --git a/autoapi/arkouda/io/index.html b/autoapi/arkouda/io/index.html index e834610bad..41094c8272 100644 --- a/autoapi/arkouda/io/index.html +++ b/autoapi/arkouda/io/index.html @@ -581,7 +581,7 @@

    Functions

    The pdarray or Strings that was previously saved

    Return type:
    -

    Union[pdarray, Strings]

    +

    Union[pdarray, Strings]

    Raises:
      @@ -643,7 +643,7 @@

      FunctionsReturn type: -

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

      +

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

      Raises:
        diff --git a/autoapi/arkouda/numeric/index.html b/autoapi/arkouda/numeric/index.html index 58969d04e5..69e0e26abf 100644 --- a/autoapi/arkouda/numeric/index.html +++ b/autoapi/arkouda/numeric/index.html @@ -675,7 +675,7 @@

        Functions
        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).

          @@ -995,7 +995,7 @@

          Functions
          Parameters:
            -

          • pda (Union[pdarray, Strings, Segarray, Categorical],) – List[Union[pdarray, Strings, Segarray, Categorical]]]

            • +

          • pda (Union[pdarray, Strings, Segarray, Categorical],) – List[Union[pdarray, Strings, Segarray, Categorical]]]

          • full (bool) – This is only used when a single pdarray is passed into hash By default, a 128-bit hash is computed and returned as two int64 arrays. If full=False, then a 64-bit hash @@ -1644,8 +1644,8 @@

            FunctionsParameters:
            Returns:
            diff --git a/autoapi/arkouda/pdarraycreation/index.html b/autoapi/arkouda/pdarraycreation/index.html index 461b710a64..1eabf0289d 100644 --- a/autoapi/arkouda/pdarraycreation/index.html +++ b/autoapi/arkouda/pdarraycreation/index.html @@ -423,7 +423,7 @@

            FunctionsReturn type: -

            pdarray or Strings

            +

            pdarray or Strings

            Raises:
              @@ -533,7 +533,7 @@

              FunctionsReturn type: -

              Union[pdarray,Strings]

              +

              Union[pdarray,Strings]

              Raises:
              Return type:
              -

              pdarray or Strings

              +

              pdarray or Strings

              Raises:

              TypeError – Raised if the supplied dtype is not supported or if the size @@ -888,7 +888,7 @@

              Functions

              The Strings object encapsulating a pdarray of random strings

              Return type:
              -

              Strings

              +

              Strings

              Raises:
              Return type:
              -

              Strings

              +

              Strings

              Raises:

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

              diff --git a/autoapi/arkouda/pdarraysetops/index.html b/autoapi/arkouda/pdarraysetops/index.html index 72edd97895..43eb024fd2 100644 --- a/autoapi/arkouda/pdarraysetops/index.html +++ b/autoapi/arkouda/pdarraysetops/index.html @@ -326,7 +326,7 @@

              Functions
              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 @@ -338,7 +338,7 @@

                FunctionsReturn type: -

                Union[pdarray,Strings,Categorical]

                +

                Union[pdarray,Strings,Categorical]

                Raises:
                  @@ -376,8 +376,8 @@

                  Functions
                  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.

                    • @@ -409,8 +409,8 @@

                    Return Type
                    Parameters:
                    Returns:
                    @@ -437,7 +437,7 @@

                    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.

                      • @@ -488,7 +488,7 @@

                      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.

                        • @@ -540,7 +540,7 @@

                        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.

                          • @@ -589,7 +589,7 @@

                          Return Type
                          Parameters:
                          diff --git a/autoapi/arkouda/segarray/index.html b/autoapi/arkouda/segarray/index.html index 8ebfeedabe..28a6069b32 100644 --- a/autoapi/arkouda/segarray/index.html +++ b/autoapi/arkouda/segarray/index.html @@ -517,7 +517,7 @@

                          Attributes
                          Parameters:
                          -

                          m (list of pdarray or Strings) – List of columns, the rows of which will form the sub-arrays of the output

                          +

                          m (list of pdarray or Strings) – List of columns, the rows of which will form the sub-arrays of the output

                          Returns:

                          Array of rows of input

                          @@ -830,7 +830,7 @@

                          Attributes

                          SegArray

                          Raises:
                          -

                          RegistrationError – Raised if the server could not register the SegArray object

                          +

                          RegistrationError – Raised if the server could not register the SegArray object

                          Notes

                          diff --git a/autoapi/arkouda/series/index.html b/autoapi/arkouda/series/index.html index e2201d0613..459419f90c 100644 --- a/autoapi/arkouda/series/index.html +++ b/autoapi/arkouda/series/index.html @@ -307,7 +307,7 @@

                          Classes#<
                          Parameters:
                          @@ -379,7 +379,7 @@

                          Classes#<

                          Accesses entries of a Series by label

                          Parameters:
                          -

                          key (pdarray, Strings, Series, list, supported_scalars) – The key or container of keys to access entries for

                          +

                          key (pdarray, Strings, Series, list, supported_scalars) – The key or container of keys to access entries for

                          @@ -511,7 +511,7 @@

                          Classes#<

                          numpy.bool

                          Raises:
                          -

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

                          +

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

                          @@ -762,7 +762,7 @@

                          Input#<
                          Raises:

                          • TypeError – Raised if user_defined_name is not a str

                            • -

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

                            • +

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

                          @@ -831,6 +831,62 @@

                          Input#< to_list() → list[source]#
                          +
                          +
                          +to_markdown(mode='wt', index=True, tablefmt='grid', storage_options=None, **kwargs)[source]#
                          +

                          Print Series in Markdown-friendly format.

                          +
                          +
                          Parameters:
                          +
                            +

                          • mode (str, optional) – Mode in which file is opened, “wt” by default.

                            • +

                          • index (bool, optional, default True) – Add index (row) labels.

                            • +

                          • tablefmt (str = "grid") – Table format to call from tablulate: +https://pypi.org/project/tabulate/

                            • +

                          • storage_options (dict, optional) – Extra options that make sense for a particular storage connection, +e.g. host, port, username, password, etc., if using a URL that will be parsed by fsspec, +e.g., starting “s3://”, “gcs://”. +An error will be raised if providing this argument with a non-fsspec URL. +See the fsspec and backend storage implementation docs for the set +of allowed keys and values.

                            • +

                          • **kwargs – These parameters will be passed to tabulate.

                            • +
                          +
                          +
                          +
                          +

                          Note

                          +

                          This function should only be called on small Series as it calls pandas.Series.to_markdown: +https://pandas.pydata.org/docs/reference/api/pandas.Series.to_markdown.html

                          +
                          +

                          Examples

                          +
                          >>> import arkouda as ak
+>>> ak.connect()
+>>> s = ak.Series(["elk", "pig", "dog", "quetzal"], name="animal")
+>>> print(s.to_markdown())
+|    | animal   |
+|---:|:---------|
+|  0 | elk      |
+|  1 | pig      |
+|  2 | dog      |
+|  3 | quetzal  |
+
                          +
                          +

                          Output markdown with a tabulate option.

                          +
                          >>> print(s.to_markdown(tablefmt="grid"))
++----+----------+
+|    | animal   |
++====+==========+
+|  0 | elk      |
++----+----------+
+|  1 | pig      |
++----+----------+
+|  2 | dog      |
++----+----------+
+|  3 | quetzal  |
++----+----------+
+
                          +
                          +
                          +
                          to_pandas() → pandas.Series[source]#
                          @@ -858,7 +914,7 @@

                          Input#< registered using register() and/or attached to using attach()

                          Raises:
                          -

                          RegistrationError – If the object is already unregistered or if there is a server error +

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

                          @@ -878,7 +934,7 @@

                          Input#< 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

                          @@ -902,7 +958,7 @@

                          Input#< 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

                          @@ -1024,6 +1080,7 @@

                          Input#<
                        • Series.tail()
                        • Series.to_dataframe()
                        • Series.to_list()
                          • +
                        • Series.to_markdown()
                        • Series.to_pandas()
                        • Series.topn()
                        • Series.unregister()
                          • diff --git a/autoapi/arkouda/sorting/index.html b/autoapi/arkouda/sorting/index.html index 2ab8986d7f..c2555bfbb7 100644 --- a/autoapi/arkouda/sorting/index.html +++ b/autoapi/arkouda/sorting/index.html @@ -312,7 +312,7 @@

                          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

                          @@ -348,7 +348,7 @@

                          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/autoapi/arkouda/strings/index.html b/autoapi/arkouda/strings/index.html index 1320aa4315..456b36e4e5 100644 --- a/autoapi/arkouda/strings/index.html +++ b/autoapi/arkouda/strings/index.html @@ -1513,7 +1513,7 @@

                          Classes#<
                          Raises:
                          diff --git a/autoapi/arkouda/timeclass/index.html b/autoapi/arkouda/timeclass/index.html index 6c4a9f6ea4..50e69584ec 100644 --- a/autoapi/arkouda/timeclass/index.html +++ b/autoapi/arkouda/timeclass/index.html @@ -495,7 +495,7 @@

                          Functions

                          numpy.bool

                          Raises:
                          -

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

                          +

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

                          @@ -533,7 +533,7 @@

                          FunctionsRaises:

                          @@ -570,7 +570,7 @@

                          Functions
                          Raises:
                          -

                          RegistrationError – If the object is already unregistered or if there is a server error +

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

                          @@ -702,7 +702,7 @@

                          Functions

                          numpy.bool

                        Raises:
                        -

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

                        +

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

                        @@ -735,7 +735,7 @@

                        FunctionsRaises:
                        @@ -783,7 +783,7 @@

                        Functions
                        Raises:
                        -

                        RegistrationError – If the object is already unregistered or if there is a server error +

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

                        diff --git a/file_io/CSV.html b/file_io/CSV.html index 213f6b9b20..3a1b20f0d7 100644 --- a/file_io/CSV.html +++ b/file_io/CSV.html @@ -346,13 +346,13 @@

                        API Reference

                        pdarray#

                        Strings#

                        diff --git a/file_io/HDF5.html b/file_io/HDF5.html index c63a56e7ec..b8dbe686af 100644 --- a/file_io/HDF5.html +++ b/file_io/HDF5.html @@ -685,8 +685,8 @@

                        API Reference

                        pdarray#

                        @@ -707,8 +707,8 @@

                        DataFrame

                        Strings#

                        diff --git a/file_io/PARQUET.html b/file_io/PARQUET.html index 43fc7198f7..6554d2e240 100644 --- a/file_io/PARQUET.html +++ b/file_io/PARQUET.html @@ -333,8 +333,8 @@

                        API Reference

                        pdarray#

                        @@ -347,7 +347,7 @@

                        Index#<

                        DataFrame#

                        @@ -355,8 +355,8 @@

                        DataFrame

                        Strings#

                        diff --git a/genindex.html b/genindex.html index 6cce23f415..25c3f37e24 100644 --- a/genindex.html +++ b/genindex.html @@ -294,7 +294,7 @@

                        A

                      • abs() (arkouda.timeclass.Timedelta method)
                        • -
                      • aggregate() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                      • aggregate() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                        • -
                      • all() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                      • all() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                        • -
                      • AND() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                      • AND() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                        • -
                      • any() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                      • any() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                        • -
                      • arange() (in module arkouda), [1], [2], [3], [4], [5] +
                      • arange() (in module arkouda), [1], [2], [3], [4], [5]
                        • -
                      • argmax() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                      • argmax() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                        • -
                      • argmaxk() (arkouda.pdarray method), [1], [2], [3], [4], [5] +
                      • argmaxk() (arkouda.pdarray method), [1], [2], [3], [4], [5]
                        • -
                      • argmin() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                      • argmin() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                        • -
                      • argmink() (arkouda.pdarray method), [1], [2], [3], [4], [5] +
                      • argmink() (arkouda.pdarray method), [1], [2], [3], [4], [5]
                        • -
                      • array() (in module arkouda), [1], [2], [3] +
                      • array() (in module arkouda), [1], [2], [3]
                        • (in module arkouda.pdarraycreation) @@ -974,12 +974,12 @@

                          A

                        • asinh() (in module arkouda.array_api._elementwise_functions)
                          • -
                        • astype() (arkouda.pdarray method), [1], [2], [3], [4] +
                        • astype() (arkouda.pdarray method), [1], [2], [3], [4]
                          • -
                        • bigint (in module arkouda), [1] +
                        • bigint (in module arkouda), [1]
                          • -
                        • bigint_to_uint_arrays() (arkouda.pdarray method), [1], [2], [3], [4] +
                        • bigint_to_uint_arrays() (arkouda.pdarray method), [1], [2], [3], [4]
                          • (arkouda.pdarrayclass.pdarray method) @@ -1079,11 +1079,11 @@

                            B

                            • -
                          • bitType (in module arkouda), [1] +
                          • bitType (in module arkouda), [1]
                            • -
                          • broadcast() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                          • broadcast() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                            • -
                          • build_from_components() (arkouda.GroupBy static method), [1], [2], [3], [4], [5] +
                          • build_from_components() (arkouda.GroupBy static method), [1], [2], [3], [4], [5]
                            • (arkouda.groupbyclass.GroupBy static method) @@ -1180,7 +1180,7 @@

                              B

                              C

                                -
                              • minute (arkouda.Datetime property), [1], [2] +
                              • minute (arkouda.Datetime property), [1], [2]
                                • -
                              • mode() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                              • mode() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                                • -
                              • month (arkouda.Datetime property), [1], [2] +
                              • month (arkouda.Datetime property), [1], [2]
                                • -
                              • most_common() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                              • most_common() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                                • (arkouda.groupbyclass.GroupBy method) @@ -3275,7 +3275,7 @@

                                  M

                                  N

                                  • negative() (in module arkouda.array_api._elementwise_functions)
                                    • -
                                  • ngroups (arkouda.GroupBy attribute), [1], [2], [3], [4], [5] +
                                  • ngroups (arkouda.GroupBy attribute), [1], [2], [3], [4], [5]
                                    • -
                                  • nkeys (arkouda.GroupBy attribute), [1], [2], [3], [4], [5] +
                                  • nkeys (arkouda.GroupBy attribute), [1], [2], [3], [4], [5]
                                    • -
                                  • nunique() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                                  • nunique() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                                    • -
                                  • ones() (in module arkouda), [1], [2], [3] +
                                  • ones() (in module arkouda), [1], [2], [3]
                                    • -
                                  • OpEqOps (arkouda.pdarray attribute), [1], [2], [3], [4] +
                                  • OpEqOps (arkouda.pdarray attribute), [1], [2], [3], [4]
                                    • -
                                  • OR() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                                  • OR() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                                    • (arkouda.groupbyclass.GroupBy method) @@ -3501,7 +3501,7 @@

                                      O

                                      P

                                        -
                                      • XOR() (arkouda.GroupBy method), [1], [2], [3], [4], [5] +
                                      • XOR() (arkouda.GroupBy method), [1], [2], [3], [4], [5]
                                        • (arkouda.groupbyclass.GroupBy method) @@ -5329,7 +5339,7 @@

                                          X

                                          Y

                                            -
                                          • year (arkouda.Datetime property), [1], [2] +
                                          • year (arkouda.Datetime property), [1], [2]
                                            • -
                                          • zeros() (in module arkouda), [1], [2], [3] +
                                          • zeros() (in module arkouda), [1], [2], [3]
                                            • (in module arkouda.array_api._creation_functions) diff --git a/objects.inv b/objects.inv index 4b74df6144d7ac24f85ef79d28f5940485890152..26e60ceaaab7023fdef4029f6445520d549784db 100644 GIT binary patch delta 13372 zcmV-CG{eiFYQt)fcYn!OcS;sJfh61zd*e?v;`?kDU231hzq$o|2;Tja5u(BIwa z+3z&+$@}aj4}9N|NHjo^1^v|y1To*e}BBXbS@wNy1RPdNZ-xf z{rMQMM+$<6b@&_y8A3Kq-StmO-ngh2xLL+zi_BdTCdnSH*rO4t*|VDwF6!oaN}r3I z=!yIJIx&%_ISDiRj|n33X=orGKmYwGcn96=pT((9QUg1(7uP5!4RbM%ofm&mRtJ*5 z#6Bhq7$cxrZhs7k{L*C3Srn0%(>T(5nId78h+tpnGtGYzFOSo1mC}`+d2y7HbVV{` z$=Z+>aT>b0(VNT`X&gE!$%`~{!fa^Sr~c_& z!n&`Ei~AgqJ4!sF$vu>Ee-$((K8ATDVY=y(WjnYKG18fgl;`YIYJkoqpyrzmUs3a$ zda-YT5%IJU`w#wVpAO`-+@(?0Lupzh9K(#~^sxj*B0qbh`HP7;WmDbev=K$W!Dm@5 zd$(m87k`Nc=S0GJaWjoV{pnPKq0!vez&&XH_gg{qSMizY2>`D%VL=w z7P(t?-DdBbuv(n2og}4E?&uZQGg-%{JN{y*BY!C>Be~P>Vt`0lOOv@PjlSVb_H8q= z3`vxmmN)e4$y%1+><&>E$j$r{isclmhNX9nT2=}ZnzbK~ArZ(d9N^8-0Z zXL7(ub2({jhO6^xtoiy?5FMkACR;pI8WUuTj(?|=dwy%M3lXu2Iy1@ 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"arkouda.array_api._dtypes.complex128"]], "complex64 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.complex64"]], "float32 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.float32"]], "float64 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.float64"]], "int16 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.int16"]], "int32 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.int32"]], "int64 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.int64"]], "int8 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.int8"]], "uint16 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.uint16"]], "uint32 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.uint32"]], "uint64 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.uint64"]], "uint8 (in module arkouda.array_api._dtypes)": [[12, "arkouda.array_api._dtypes.uint8"]], "abs() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.abs"]], "acos() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.acos"]], "acosh() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.acosh"]], "add() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.add"]], "arkouda.array_api._elementwise_functions": [[13, "module-arkouda.array_api._elementwise_functions"]], "asin() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.asin"]], "asinh() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.asinh"]], "atan() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.atan"]], "atan2() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.atan2"]], "atanh() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.atanh"]], "bitwise_and() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.bitwise_and"]], "bitwise_invert() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.bitwise_invert"]], "bitwise_left_shift() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.bitwise_left_shift"]], "bitwise_or() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.bitwise_or"]], "bitwise_right_shift() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.bitwise_right_shift"]], "bitwise_xor() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.bitwise_xor"]], "ceil() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.ceil"]], "conj() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.conj"]], "cos() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.cos"]], "cosh() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.cosh"]], "divide() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.divide"]], "equal() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.equal"]], "exp() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.exp"]], "expm1() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.expm1"]], "floor() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.floor"]], "floor_divide() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.floor_divide"]], "greater() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.greater"]], "greater_equal() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.greater_equal"]], "imag() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.imag"]], "isfinite() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.isfinite"]], "isinf() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.isinf"]], "isnan() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.isnan"]], "less() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.less"]], "less_equal() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.less_equal"]], "log() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.log"]], "log10() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.log10"]], "log1p() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.log1p"]], "log2() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.log2"]], "logaddexp() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.logaddexp"]], "logical_and() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.logical_and"]], "logical_not() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.logical_not"]], "logical_or() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.logical_or"]], "logical_xor() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.logical_xor"]], "multiply() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.multiply"]], "negative() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.negative"]], "not_equal() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.not_equal"]], "positive() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.positive"]], "pow() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.pow"]], "real() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.real"]], "remainder() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.remainder"]], "round() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.round"]], "sign() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.sign"]], "sin() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.sin"]], "sinh() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.sinh"]], "sqrt() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.sqrt"]], "square() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.square"]], "subtract() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.subtract"]], "tan() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.tan"]], "tanh() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.tanh"]], "trunc() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.trunc"]], "arkouda.array_api._indexing_functions": [[14, "module-arkouda.array_api._indexing_functions"]], "take() (in module arkouda.array_api._indexing_functions)": [[14, "arkouda.array_api._indexing_functions.take"]], "arkouda.array_api._manipulation_functions": [[15, "module-arkouda.array_api._manipulation_functions"]], "broadcast_arrays() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.broadcast_arrays"]], "broadcast_to() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.broadcast_to"]], "concat() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.concat"]], "expand_dims() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.expand_dims"]], "flip() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.flip"]], "permute_dims() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.permute_dims"]], "reshape() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.reshape"]], "roll() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.roll"]], "squeeze() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.squeeze"]], "stack() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.stack"]], "argmax() (in module arkouda.array_api._searching_functions)": [[16, "arkouda.array_api._searching_functions.argmax"]], "argmin() (in module arkouda.array_api._searching_functions)": [[16, "arkouda.array_api._searching_functions.argmin"]], "arkouda.array_api._searching_functions": [[16, "module-arkouda.array_api._searching_functions"]], "nonzero() (in module arkouda.array_api._searching_functions)": [[16, "arkouda.array_api._searching_functions.nonzero"]], "where() (in module arkouda.array_api._searching_functions)": [[16, "arkouda.array_api._searching_functions.where"]], "uniqueallresult (class in arkouda.array_api._set_functions)": [[17, "arkouda.array_api._set_functions.UniqueAllResult"]], "uniquecountsresult (class in arkouda.array_api._set_functions)": [[17, "arkouda.array_api._set_functions.UniqueCountsResult"]], "uniqueinverseresult (class in arkouda.array_api._set_functions)": [[17, "arkouda.array_api._set_functions.UniqueInverseResult"]], "arkouda.array_api._set_functions": [[17, "module-arkouda.array_api._set_functions"]], "counts (arkouda.array_api._set_functions.uniqueallresult attribute)": [[17, "arkouda.array_api._set_functions.UniqueAllResult.counts"]], "counts (arkouda.array_api._set_functions.uniquecountsresult attribute)": [[17, "arkouda.array_api._set_functions.UniqueCountsResult.counts"]], "indices (arkouda.array_api._set_functions.uniqueallresult attribute)": [[17, "arkouda.array_api._set_functions.UniqueAllResult.indices"]], "inverse_indices (arkouda.array_api._set_functions.uniqueallresult attribute)": [[17, "arkouda.array_api._set_functions.UniqueAllResult.inverse_indices"]], "inverse_indices (arkouda.array_api._set_functions.uniqueinverseresult attribute)": [[17, "arkouda.array_api._set_functions.UniqueInverseResult.inverse_indices"]], "unique_all() (in module arkouda.array_api._set_functions)": [[17, "arkouda.array_api._set_functions.unique_all"]], "unique_counts() (in module arkouda.array_api._set_functions)": [[17, "arkouda.array_api._set_functions.unique_counts"]], "unique_inverse() (in module arkouda.array_api._set_functions)": [[17, "arkouda.array_api._set_functions.unique_inverse"]], "unique_values() (in module arkouda.array_api._set_functions)": [[17, "arkouda.array_api._set_functions.unique_values"]], "values (arkouda.array_api._set_functions.uniqueallresult attribute)": [[17, "arkouda.array_api._set_functions.UniqueAllResult.values"]], "values (arkouda.array_api._set_functions.uniquecountsresult attribute)": [[17, "arkouda.array_api._set_functions.UniqueCountsResult.values"]], "values (arkouda.array_api._set_functions.uniqueinverseresult attribute)": [[17, "arkouda.array_api._set_functions.UniqueInverseResult.values"]], "argsort() (in module arkouda.array_api._sorting_functions)": [[18, "arkouda.array_api._sorting_functions.argsort"]], "arkouda.array_api._sorting_functions": [[18, "module-arkouda.array_api._sorting_functions"]], "sort() (in module arkouda.array_api._sorting_functions)": [[18, "arkouda.array_api._sorting_functions.sort"]], "arkouda.array_api._statistical_functions": [[19, "module-arkouda.array_api._statistical_functions"]], "max() (in module arkouda.array_api._statistical_functions)": [[19, "arkouda.array_api._statistical_functions.max"]], "mean() (in module arkouda.array_api._statistical_functions)": [[19, "arkouda.array_api._statistical_functions.mean"]], "min() (in module arkouda.array_api._statistical_functions)": [[19, "arkouda.array_api._statistical_functions.min"]], "prod() (in module arkouda.array_api._statistical_functions)": [[19, "arkouda.array_api._statistical_functions.prod"]], "prod_sum_dtype() (in module arkouda.array_api._statistical_functions)": [[19, "arkouda.array_api._statistical_functions.prod_sum_dtype"]], "std() (in module arkouda.array_api._statistical_functions)": [[19, "arkouda.array_api._statistical_functions.std"]], "sum() (in module arkouda.array_api._statistical_functions)": [[19, "arkouda.array_api._statistical_functions.sum"]], "var() (in module arkouda.array_api._statistical_functions)": [[19, "arkouda.array_api._statistical_functions.var"]], "array (class in arkouda.array_api._typing)": [[20, "arkouda.array_api._typing.Array"]], "device (in module arkouda.array_api._typing)": [[20, "arkouda.array_api._typing.Device"]], "dtype (in module arkouda.array_api._typing)": [[20, "arkouda.array_api._typing.Dtype"]], "pycapsule (in module arkouda.array_api._typing)": [[20, "arkouda.array_api._typing.PyCapsule"]], "supportsbufferprotocol (in module arkouda.array_api._typing)": [[20, "arkouda.array_api._typing.SupportsBufferProtocol"]], "supportsdlpack (class in arkouda.array_api._typing)": [[20, "arkouda.array_api._typing.SupportsDLPack"]], "t (arkouda.array_api._typing.array property)": [[20, "arkouda.array_api._typing.Array.T"]], "arkouda.array_api._typing": [[20, "module-arkouda.array_api._typing"]], "device (arkouda.array_api._typing.array property)": [[20, "arkouda.array_api._typing.Array.device"]], "dtype (arkouda.array_api._typing.array property)": [[20, "arkouda.array_api._typing.Array.dtype"]], "mt (arkouda.array_api._typing.array property)": [[20, "arkouda.array_api._typing.Array.mT"]], "ndim (arkouda.array_api._typing.array property)": [[20, "arkouda.array_api._typing.Array.ndim"]], "shape (arkouda.array_api._typing.array property)": [[20, "arkouda.array_api._typing.Array.shape"]], "size (arkouda.array_api._typing.array property)": [[20, "arkouda.array_api._typing.Array.size"]], "to_device() (arkouda.array_api._typing.array method)": [[20, "arkouda.array_api._typing.Array.to_device"]], "to_ndarray() (arkouda.array_api._typing.array method)": [[20, "arkouda.array_api._typing.Array.to_ndarray"]], "tolist() (arkouda.array_api._typing.array method)": [[20, "arkouda.array_api._typing.Array.tolist"]], "all() (in module arkouda.array_api._utility_functions)": [[21, "arkouda.array_api._utility_functions.all"]], "any() (in module arkouda.array_api._utility_functions)": [[21, "arkouda.array_api._utility_functions.any"]], "arkouda.array_api._utility_functions": [[21, "module-arkouda.array_api._utility_functions"]], "arkouda.array_api": [[22, "module-arkouda.array_api"]], "arkouda.array_api.linalg": [[23, "module-arkouda.array_api.linalg"]], "matmul() (in module arkouda.array_api.linalg)": [[23, "arkouda.array_api.linalg.matmul"]], "matrix_transpose() (in module arkouda.array_api.linalg)": [[23, "arkouda.array_api.linalg.matrix_transpose"]], "tensordot() (in module arkouda.array_api.linalg)": [[23, "arkouda.array_api.linalg.tensordot"]], "vecdot() (in module arkouda.array_api.linalg)": [[23, "arkouda.array_api.linalg.vecdot"]], "arrayview (class in arkouda.array_view)": [[24, "arkouda.array_view.ArrayView"]], "arkouda.array_view": [[24, "module-arkouda.array_view"]], "base (arkouda.array_view.arrayview attribute)": [[24, "arkouda.array_view.ArrayView.base"]], "dtype (arkouda.array_view.arrayview attribute)": [[24, "arkouda.array_view.ArrayView.dtype"]], "itemsize (arkouda.array_view.arrayview attribute)": [[24, "arkouda.array_view.ArrayView.itemsize"]], "ndim (arkouda.array_view.arrayview attribute)": [[24, "arkouda.array_view.ArrayView.ndim"]], "objtype (arkouda.array_view.arrayview attribute)": [[24, "arkouda.array_view.ArrayView.objType"]], "order (arkouda.array_view.arrayview attribute)": [[24, "arkouda.array_view.ArrayView.order"]], "shape (arkouda.array_view.arrayview attribute)": [[24, "arkouda.array_view.ArrayView.shape"]], "size (arkouda.array_view.arrayview attribute)": [[24, "arkouda.array_view.ArrayView.size"]], "to_hdf() (arkouda.array_view.arrayview method)": 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"arkouda.array_api._elementwise_functions.floor"]], "floor_divide() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.floor_divide"]], "greater() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.greater"]], "greater_equal() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.greater_equal"]], "imag() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.imag"]], "isfinite() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.isfinite"]], "isinf() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.isinf"]], "isnan() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.isnan"]], "less() (in module 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"arkouda.array_api._elementwise_functions.pow"]], "real() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.real"]], "remainder() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.remainder"]], "round() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.round"]], "sign() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.sign"]], "sin() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.sin"]], "sinh() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.sinh"]], "sqrt() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.sqrt"]], "square() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.square"]], "subtract() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.subtract"]], "tan() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.tan"]], "tanh() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.tanh"]], "trunc() (in module arkouda.array_api._elementwise_functions)": [[13, "arkouda.array_api._elementwise_functions.trunc"]], "arkouda.array_api._indexing_functions": [[14, "module-arkouda.array_api._indexing_functions"]], "take() (in module arkouda.array_api._indexing_functions)": [[14, "arkouda.array_api._indexing_functions.take"]], "arkouda.array_api._manipulation_functions": [[15, "module-arkouda.array_api._manipulation_functions"]], "broadcast_arrays() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.broadcast_arrays"]], "broadcast_to() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.broadcast_to"]], "concat() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.concat"]], "expand_dims() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.expand_dims"]], "flip() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.flip"]], "permute_dims() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.permute_dims"]], "reshape() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.reshape"]], "roll() (in module arkouda.array_api._manipulation_functions)": [[15, "arkouda.array_api._manipulation_functions.roll"]], "squeeze() (in module 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"arkouda.util.unregister_all"]], "to_ndarray() (in module arkouda.strings)": [[84, "arkouda.Strings.to_ndarray"], [100, "arkouda.Strings.to_ndarray"]], "to_ndarray() (in module arkouda.pdarray)": [[84, "arkouda.pdarray.to_ndarray"], [95, "arkouda.pdarray.to_ndarray"]], "argsort() (in module arkouda.index)": [[85, "arkouda.Index.argsort"]], "argsort() (in module arkouda.multiindex)": [[85, "arkouda.MultiIndex.argsort"]], "concat() (in module arkouda.index)": [[85, "arkouda.Index.concat"]], "concat() (in module arkouda.multiindex)": [[85, "arkouda.MultiIndex.concat"]], "lookup() (in module arkouda.index)": [[85, "arkouda.Index.lookup"]], "lookup() (in module arkouda.multiindex)": [[85, "arkouda.MultiIndex.lookup"]], "set_dtype() (in module arkouda.index)": [[85, "arkouda.Index.set_dtype"]], "set_dtype() (in module arkouda.multiindex)": [[85, "arkouda.MultiIndex.set_dtype"]], "to_ndarray() (in module arkouda.arrayview)": [[88, "arkouda.ArrayView.to_ndarray"]], "to_ndarray() (in module arkouda.categorical)": [[89, "arkouda.Categorical.to_ndarray"]], "apply_permutation() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.apply_permutation"]], "argsort() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.argsort"]], "coargsort() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.coargsort"]], "concat() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.concat"]], "copy() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.copy"]], "drop() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.drop"]], "drop_duplicates() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.drop_duplicates"]], "groupby() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.groupby"]], "head() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.head"]], "rename() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.rename"]], "reset_index() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.reset_index"]], "sort_values() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.sort_values"]], "tail() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.tail"]], "to_pandas() (in module arkouda.dataframe)": [[91, "arkouda.DataFrame.to_pandas"]], "append() (in module arkouda.segarray)": [[96, "arkouda.SegArray.append"]], "append_single() (in module arkouda.segarray)": [[96, "arkouda.SegArray.append_single"]], "get_jth() (in module arkouda.segarray)": [[96, "arkouda.SegArray.get_jth"]], "get_length_n() (in module arkouda.segarray)": [[96, "arkouda.SegArray.get_length_n"]], "get_ngrams() (in module arkouda.segarray)": [[96, "arkouda.SegArray.get_ngrams"]], "get_prefixes() (in module arkouda.segarray)": [[96, "arkouda.SegArray.get_prefixes"]], "get_suffixes() (in module arkouda.segarray)": [[96, "arkouda.SegArray.get_suffixes"]], "intersect() (in module arkouda.segarray)": [[96, "arkouda.SegArray.intersect"]], "prepend_single() (in module arkouda.segarray)": [[96, "arkouda.SegArray.prepend_single"]], "remove_repeats() (in module arkouda.segarray)": [[96, "arkouda.SegArray.remove_repeats"]], "set_jth() (in module arkouda.segarray)": [[96, "arkouda.SegArray.set_jth"]], "setdiff() (in module arkouda.segarray)": [[96, "arkouda.SegArray.setdiff"]], "setxor() (in module arkouda.segarray)": [[96, "arkouda.SegArray.setxor"]], "to_ndarray() (in module arkouda.segarray)": [[96, "arkouda.SegArray.to_ndarray"]], "union() (in module arkouda.segarray)": [[96, "arkouda.SegArray.union"]], "head() (in module arkouda.series)": [[97, "arkouda.Series.head"]], "locate() (in module arkouda.series)": [[97, "arkouda.Series.locate"], [97, "id0"]], "pdconcat() (in module arkouda.series)": [[97, "arkouda.Series.pdconcat"]], "sort_index() (in module arkouda.series)": [[97, "arkouda.Series.sort_index"]], "sort_values() (in module arkouda.series)": [[97, "arkouda.Series.sort_values"]], "tail() (in module arkouda.series)": [[97, "arkouda.Series.tail"]], "to_pandas() (in module arkouda.series)": [[97, "arkouda.Series.to_pandas"]], "topn() (in module arkouda.series)": [[97, "arkouda.Series.topn"]], "value_counts() (in module arkouda.series)": [[97, "arkouda.Series.value_counts"]], "connect() (in module arkouda)": [[99, "arkouda.connect"]]}}) \ No newline at end of file diff --git a/usage/IO.html b/usage/IO.html index 6951a66606..49ec41b7ab 100644 --- a/usage/IO.html +++ b/usage/IO.html @@ -316,7 +316,7 @@

                                              Between client and serverReturn type: -

                                              pdarray or Strings

                                              +

                                              pdarray or Strings

                                              Raises:
                                                @@ -389,7 +389,7 @@

                                                Between client and server

                                                See also

                                                -

                                                array, to_list

                                                +

                                                array, to_list

                                                Examples

                                                >>> a = ak.arange(0, 5, 1)
@@ -427,7 +427,7 @@ 
                                                Between client and server
 
                                                See also
                                                
-
                                                array, to_list
                                                
+
                                                array, to_list

                                                Examples

                                                >>> a = ak.array(["hello", "my", "world"])
diff --git a/usage/argsort.html b/usage/argsort.html
index df1d529c9a..32fae2934d 100644
--- a/usage/argsort.html
+++ b/usage/argsort.html
@@ -289,11 +289,11 @@
 
                                                Sorting#
                                                
 
                                                
 
                                                
-arkouda.argsort(pda: pdarray | Strings | 'Categorical', algorithm: SortingAlgorithm = SortingAlgorithm.RadixSortLSD, axis: int_scalars = 0) → pdarray[source]#
                                                
+arkouda.argsort(pda: pdarray | Strings | 'Categorical', algorithm: SortingAlgorithm = SortingAlgorithm.RadixSortLSD, axis: int_scalars = 0) → pdarray[source]#
 
                                                Return the permutation that sorts the array.
                                                
 
                                                
 
                                                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
                                                
@@ -323,13 +323,13 @@
 
 
                                                
 
                                                
-arkouda.coargsort(arrays: Sequence[Strings | pdarray | 'Categorical'], algorithm: SortingAlgorithm = SortingAlgorithm.RadixSortLSD) → pdarray[source]#
                                                
+arkouda.coargsort(arrays: Sequence[Strings | pdarray | 'Categorical'], algorithm: SortingAlgorithm = SortingAlgorithm.RadixSortLSD) → pdarray[source]#
 
                                                Return the permutation that groups the rows (left-to-right), if the
 input arrays are treated as columns. The permutation sorts numeric
 columns, but not strings/Categoricals – strings/Categoricals are grouped, but not ordered.
                                                
 
                                                
 
                                                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/usage/arithmetic.html b/usage/arithmetic.html
index e34ada2db1..f346cf6183 100644
--- a/usage/arithmetic.html
+++ b/usage/arithmetic.html
@@ -1039,8 +1039,8 @@ 
                                                Where#<
 
                                                Parameters:
                                                
 
                                                
 
                                                
 
                                                Returns:
                                                
diff --git a/usage/categorical.html b/usage/categorical.html
index d30e2cf30e..0a2950ded3 100644
--- a/usage/categorical.html
+++ b/usage/categorical.html
@@ -302,7 +302,7 @@ 
                                                Construction
 
                                                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
                                                  • 
 
                                                
 
                                                
@@ -313,7 +313,7 @@ 
                                                Construction
 
                                                Type:
                                                
-
                                                Strings
                                                
+
                                                Strings
                                                
 
                                                
 
                                                
 
                                                
@@ -410,7 +410,7 @@ 
                                                ConstructionParameters:
 
                                                
 
                                                
@@ -735,7 +735,7 @@
 
                                                
 
                                                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.
                                                  • 
@@ -745,7 +745,7 @@
 
                                                  The broadcasted values
                                                  
 
                                                  
 
                                                  Return type:
                                                  
-
                                                  pdarray, Strings
                                                  
+
                                                  pdarray, Strings
                                                  
 
                                                  
 
                                                  Raises:
                                                  
 
                                                    
@@ -870,7 +870,7 @@
 
                                                    bool
                                                    
 
                                                    
 
                                                    Raises:
                                                    
-
                                                    RegistrationError – Raised if there’s a server-side error or a mismatch of registered components
                                                    
+
                                                    RegistrationError – Raised if there’s a server-side error or a mismatch of registered components
                                                    
 
                                                    
 
                                                
 
                                                
@@ -1205,7 +1205,7 @@
 
                                                Raises:
                                                
 
                                                  
 
                                                • TypeError – Raised if user_defined_name is not a str
                                                  • 
-
                                                • RegistrationError – If the server was unable to register the GroupBy with the user_defined_name
                                                  • 
+
                                                • RegistrationError – If the server was unable to register the GroupBy with the user_defined_name
                                                  • 
 
                                                
 
                                                
 
                                                
@@ -1410,7 +1410,7 @@
 registered using register() and/or attached to using attach()
                                                
 
                                                
 
                                                Raises:
                                                
-
                                                RegistrationError – If the object is already unregistered or if there is a server error
+
                                                RegistrationError – If the object is already unregistered or if there is a server error
     when attempting to unregister
                                                
 
                                                
 
                                                
@@ -1435,7 +1435,7 @@
 
                                                Raises:
                                                
 
                                                  
 
                                                • TypeError – if user_defined_name is not a string
                                                  • 
-
                                                • RegistrationError – if there is an issue attempting to unregister any underlying components
                                                  • 
+
                                                • RegistrationError – if there is an issue attempting to unregister any underlying components
                                                  • 
 
                                                
 
                                                
 
diff --git a/usage/pdarray.html b/usage/pdarray.html
index 61a901d108..a63d992289 100644
--- a/usage/pdarray.html
+++ b/usage/pdarray.html
@@ -419,7 +419,7 @@ 
                                                Iteration
 
                                                See also
                                                
-
                                                array, to_list
                                                
+
                                                array, to_list

                                                Examples

                                                >>> a = ak.arange(0, 5, 1)
@@ -451,7 +451,7 @@ 
                                                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 cb1636bca7..f79118d6d7 100644
--- a/usage/series.html
+++ b/usage/series.html
@@ -295,7 +295,7 @@ 
                                                  Series in Arkouda
 
                                                  Parameters:
                                                  
 
                                                    
-
                                                  • index (pdarray, Strings) – an array of indices associated with the data array.
+
                                                  • index (pdarray, Strings) – an array of indices associated with the data array.
 If empty, it will default to a range of ints whose size match the size of the data.
 optional
                                                    • 
 
                                                  • data (Tuple, List, groupable_element_type) – a 1D array. Must not be None.
                                                    • 
diff --git a/usage/setops.html b/usage/setops.html
index 48596cea9e..b3971d9c8d 100644
--- a/usage/setops.html
+++ b/usage/setops.html
@@ -299,7 +299,7 @@
 
                                                    
 
                                                    Parameters:
                                                    
 
                                                      
-
                                                    • pda ((list of) pdarray, Strings, or Categorical) – Input array.
                                                      • 
+
                                                    • pda ((list of) pdarray, Strings, or Categorical) – Input array.
                                                      • 
 
                                                    • return_groups (bool, optional) – If True, also return grouping information for the array.
                                                      • 
 
                                                    • return_indices (bool, optional) – Only applicable if return_groups is True.
 If True, return unique key indices along with other groups
                                                      • 
@@ -343,8 +343,8 @@
 
                                                      
 
                                                      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.
                                                        • 
@@ -377,7 +377,7 @@ 
                                                        Return Type
 
                                                        Parameters:
                                                        
 
                                                        
 
                                                        
@@ -426,7 +426,7 @@ 
                                                        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.
                                                          • 
@@ -477,7 +477,7 @@ 
                                                          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.
                                                            • 
@@ -529,7 +529,7 @@ 
                                                            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.
                                                              • 
diff --git a/usage/strings.html b/usage/strings.html
index 44894cf71a..ebd236a74b 100644
--- a/usage/strings.html
+++ b/usage/strings.html
@@ -329,7 +329,7 @@ 
                                                              Iteration
 
                                                              See also
                                                              
-
                                                              array, to_list
                                                              
+
                                                              array, to_list

                                                Examples

                                                >>> a = ak.array(["hello", "my", "world"])
@@ -536,7 +536,7 @@ 
                                                Splitting and joining

                                              Return type:
                                              -

                                              Tuple[Strings, Strings]

                                              +

                                              Tuple[Strings, Strings]

                                              Raises:
                                                @@ -599,7 +599,7 @@

                                                Splitting and joining

                                              Return type:
                                              -

                                              Tuple[Strings, Strings]

                                              +

                                              Tuple[Strings, Strings]

                                              Raises: