From a7e553bebf753936c84e31c9de015ef796895808 Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 5 Dec 2023 19:19:17 +0100 Subject: [PATCH 01/65] added the functionalities for the time series class and the first test time series class is a tagged table which treats the target column as an feature and adds an time column, which a neither a feature or target column --- poetry.lock | 314 +++++++++++++++++- pyproject.toml | 1 + .../data/tabular/containers/__init__.py | 1 + src/safeds/data/tabular/containers/_table.py | 38 +++ .../data/tabular/containers/_time_series.py | 273 +++++++++++++++ tests/helpers/__init__.py | 1 + tests/helpers/_assertions.py | 19 +- 7 files changed, 645 insertions(+), 2 deletions(-) create mode 100644 src/safeds/data/tabular/containers/_time_series.py diff --git a/poetry.lock b/poetry.lock index 40a8ea1ae..28b1afd4a 100644 --- a/poetry.lock +++ b/poetry.lock @@ -653,6 +653,22 @@ files = [ [package.extras] devel = ["colorama", "json-spec", "jsonschema", "pylint", 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"triton-2.1.0-0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82fc5aeeedf6e36be4e4530cbdcba81a09d65c18e02f52dc298696d45721f3bd"}, + {file = "triton-2.1.0-0-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:81a96d110a738ff63339fc892ded095b31bd0d205e3aace262af8400d40b6fa8"}, +] + +[package.dependencies] +filelock = "*" + +[package.extras] +build = ["cmake (>=3.18)", "lit"] +tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"] +tutorials = ["matplotlib", "pandas", "tabulate"] + [[package]] name = "types-python-dateutil" version = "2.8.19.14" @@ -3664,6 +3965,17 @@ files = [ {file = "types_python_dateutil-2.8.19.14-py3-none-any.whl", hash = "sha256:f977b8de27787639986b4e28963263fd0e5158942b3ecef91b9335c130cb1ce9"}, ] +[[package]] +name = "typing-extensions" +version = "4.8.0" +description = "Backported and Experimental Type Hints for Python 3.8+" +optional = false +python-versions = ">=3.8" +files = [ + {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"}, + {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"}, +] + [[package]] name = "tzdata" version = "2023.3" @@ -3811,4 +4123,4 @@ files = [ [metadata] lock-version = "2.0" python-versions = "^3.11,<3.13" -content-hash = "119b3860f653f03e7f4b92de3c278179c4acd76d7cb693cb1752cb577ca88af0" +content-hash = "15f7ca4d6e76df8617df338cf0e2cbc0106b2a27db968738d718a38c3b592222" diff --git a/pyproject.toml b/pyproject.toml index a5e628b8c..fbafd9be8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,6 +23,7 @@ pillow = ">=9.5,<11.0" scikit-image = ">=0.21,<0.23" scikit-learn = "^1.2.0" seaborn = "^0.13.0" +torch = "^2.1.1" [tool.poetry.group.dev.dependencies] pytest = "^7.2.1" diff --git a/src/safeds/data/tabular/containers/__init__.py b/src/safeds/data/tabular/containers/__init__.py index e5ec2c697..eaa9cea47 100644 --- a/src/safeds/data/tabular/containers/__init__.py +++ b/src/safeds/data/tabular/containers/__init__.py @@ -4,6 +4,7 @@ from ._row import Row from ._table import Table from ._tagged_table import TaggedTable +from ._time_series import TimeSeries __all__ = [ "Column", diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index 693785063..3ebd6c17a 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -37,6 +37,8 @@ from safeds.data.tabular.transformation import InvertibleTableTransformer, TableTransformer from ._tagged_table import TaggedTable + + from ._time_series import TimeSeries # Enable copy-on-write for pandas dataframes pd.options.mode.copy_on_write = True @@ -1715,7 +1717,43 @@ def tag_columns(self, target_name: str, feature_names: list[str] | None = None) from ._tagged_table import TaggedTable return TaggedTable._from_table(self, target_name, feature_names) + + #rethink name here + def time_columns(self, target_name: str,time_name: str, feature_names: list[str] | None = None) -> TimeSeries: + """ + Return a new `TimeSeries` with columns marked as a target and time column or feature columns. + + The original table is not modified. + Parameters + ---------- + target_name : str + Name of the target column. + time_name : str + Name of the time column. + feature_names : list[str] | None + Names of the feature columns. If None, all columns except the target column are used. + + Returns + ------- + time_series : TimeSeries + A new tagged table with the given target and feature names. + + Raises + ------ + ValueError + If the target column is also a feature column. + ValueError + If no feature columns are specified. + + Examples + -------- + >>> from safeds.data.tabular.containers import Table, TimeSeries + >>> table = Table.from_dict({"time": ["01.01", "01.02", "01.03"], "price": [1.10, 1.19, 1.79], "amount_bought": [74, 72, 51]}) + >>> tagged_table = table.tag_columns(target_name="amount_bought", feature_names=["item", "price"]) + """ + from ._time_series import TimeSeries + return TimeSeries._from_table(self, target_name, time_name, feature_names) def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Table: """ Return a new `Table` with the provided column transformed by calling the provided transformer. diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py new file mode 100644 index 000000000..80cd57eda --- /dev/null +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -0,0 +1,273 @@ +from __future__ import annotations + +import copy +import numpy as np +import pandas as pd +import torch +import torch.nn as nn +from torch.utils.data import DataLoader +from torch.utils.data import Dataset +from typing import TYPE_CHECKING + +from safeds.data.tabular.containers import Column, Row, Table, TaggedTable +from safeds.exceptions import ( + ColumnIsTargetError, + IllegalSchemaModificationError, + UnknownColumnNameError, +) + +if TYPE_CHECKING: + from collections.abc import Callable, Mapping, Sequence + from typing import Any + + + +class TimeSeries(TaggedTable): + # target should always be an feature + # date should never be an feature + """ + A TimeSeries is a tagged table that additionally knows which column is the time column + and uses the target column as an feature. + A Time Column should neve be an feature + ---------- + data : Mapping[str, Sequence[Any]] + The data. + target_name : str + Name of the target column. + feature_names : list[str] | None + Names of the feature columns. If None, all columns except the target column are used. + Raises + time_name : str + Name of the time column. + + ------ + ColumnLengthMismatchError + If columns have different lengths. + ValueError + If the target column is also a feature column. + ValueError + If no feature columns are specified. + """ + # ------------------------------------------------------------------------------------------------------------------ + # Creation + # ------------------------------------------------------------------------------------------------------------------ + @staticmethod + def _from_tagged_table( + tagged_table: TaggedTable, + time_name: str, + ) -> TimeSeries: + """Create a time series from a tagged table + Parameters + ---------- + table : TaggedTable + The tagged table. + time_name: str + Name of the time column. + Retruns + ------- + time_series : TimeSeries + the created time series + + Raises + ------ + UnknownColumnError + If target_name matches none of the column names. + Value Error + If no feature columns are specified + Examples + -------- + >>> from safeds.data.tabular.containers import Table, TimeSeries + >>> tagged_table = TaggedTable({"date": ["01.01", "01.02", "01.03", "01.04"], "col1": ["a", "b", "c", "a"]}, "col1" ) + >>> timeseries = TimeSeries._from_table(tagged_table, "date") + """ + table = tagged_table._as_table() + + #no need to validate the tagged table on tagged table specs + if time_name in tagged_table.features.column_names: + raise ValueError(f"Column '{time_name}' cannot be both time column and feature.") + + if time_name == tagged_table.target.name: + raise ValueError(f"Column '{time_name}' cannot be both timecolumn and target.") + + + # Create Time Series Object + result = object.__new__(TimeSeries) + + result._data = table._data + result._schema = table.schema + result._time = table.get_column(time_name) + result._features = table.keep_only_columns(tagged_table.features.column_names) + result._target = table.get_column(tagged_table.target.name) + return result + + @staticmethod + def _from_table( + table: Table, + target_name: str, + time_name: str, + feature_names: list[str] | None = None, + ) -> TimeSeries: + """Create a TimeSeries from a table + Parameters + ---------- + table : Table + The table. + target_name : str + Name of the target column. + time_name: str + Name of the date column. + feature_names : list[str] | None + Names of the feature columns. If None, all columns except the target column are used. + Retruns + ------- + time_series : TimeSeries + the created time series + + Raises + ------ + UnknownColumnError + If target_name matches none of the column names. + Value Error + If no feature columns are specified + Examples + -------- + >>> from safeds.data.tabular.containers import Table, TimeSeries + >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "col1": ["a", "b", "c", "a"]}) + >>> timeseries = TimeSeries._from_table(table, "f1", "date", ["f1"]) + """ + + tagged_table = TaggedTable._from_table(table=table, target_name= target_name, feature_names=feature_names) + + return TimeSeries._from_tagged_table(tagged_table=tagged_table, time_name=time_name) + + # ------------------------------------------------------------------------------------------------------------------ + # Dunder methods + # ------------------------------------------------------------------------------------------------------------------ + + def __init__( + self, + data: Mapping[str, Sequence[Any]], + target_name: str, + time_name: str, + feature_names: list[str] | None = None, + ): + """ + Create a tagged table from a mapping of column names to their values. + + Parameters + ---------- + data : Mapping[str, Sequence[Any]] + The data. + target_name : str + Name of the target column. + time_name : str + Name of the time column + feature_names : list[str] | None + Names of the feature columns. If None, all columns except the target column are used. + + Raises + ------ + ColumnLengthMismatchError + If columns have different lengths. + ValueError + If the target column is also a feature column. + ValueError + If no feature columns are specified. + + Examples + -------- + >>> from safeds.data.tabular.containers import TaggedTable + >>> table = TaggedTable({"a": [1, 2, 3], "b": [4, 5, 6]}, "b", ["a"]) + """ + + if time_name in feature_names: + raise ValueError(f"Date column '{time_name}' can not be an feature column.") + + super().__init__(data, target_name, feature_names) + _data = Table(data) + + # Validate inputs + if time_name not in (_data.column_names): + raise ValueError(f"Column '{time_name}' must exist in the table.") + + self._time: Column = _data.get_column(time_name) + + # ------------------------------------------------------------------------------------------------------------------ + # Properties + # ------------------------------------------------------------------------------------------------------------------ + + @property + def time(self) -> Column: + """ + Get the time column of the time series. + + Returns + ------- + Column + The time column. + """ + return self._time + + # ------------------------------------------------------------------------------------------------------------------ + # Specific methods from time series class: + # ------------------------------------------------------------------------------------------------------------------ + + #ToDo: add Specific methods for time series dTable class + + # ------------------------------------------------------------------------------------------------------------------ + # Overriden methods from TaggedTable class: + # ------------------------------------------------------------------------------------------------------------------ + def add_column(self, column: Column) -> TimeSeries: + """ + Return a new `TimeSeries` with the provided column attached at the end, as neither target nor feature column. + + The original table is not modified. + + Parameters + ---------- + column : Column + The column to be added. + + Returns + ------- + result : TimeSeries + The table with the column attached as neither target nor feature column. + + Raises + ------ + DuplicateColumnNameError + If the new column already exists. + ColumnSizeError + If the size of the column does not match the number of rows. + """ + return TimeSeries._from_tagged_table( + super().add_column(column), + time_name = self.time, + ) + def add_column_as_feature(self, column: Column) -> TimeSeries: + """ + Return a new time series with the provided column attached at the end, as a feature column. + + the original time series is not modified. + + Parameters + ---------- + column : Column + The column to be added. + + Returns + ------- + result : TimeSeries + The table with the attached feature column. + + Raises + ------ + DuplicateColumnNameError + If the new column already exists. + ColumnSizeError + If the size of the column does not match the number of rows. + """ + return TimeSeries._from_tagged_table( + super().add_column_as_feature(column), + time_name= self.time.name, + ) \ No newline at end of file diff --git a/tests/helpers/__init__.py b/tests/helpers/__init__.py index cbd8637a1..1cc33cdda 100644 --- a/tests/helpers/__init__.py +++ b/tests/helpers/__init__.py @@ -1,4 +1,5 @@ from ._assertions import assert_that_tables_are_close, assert_that_tagged_tables_are_equal from ._resources import resolve_resource_path +from ._assertions import assert_that_time_series_are_equal __all__ = ["assert_that_tables_are_close", "assert_that_tagged_tables_are_equal", "resolve_resource_path"] diff --git a/tests/helpers/_assertions.py b/tests/helpers/_assertions.py index 2dcbcd1e0..c41c61de3 100644 --- a/tests/helpers/_assertions.py +++ b/tests/helpers/_assertions.py @@ -1,5 +1,5 @@ import pytest -from safeds.data.tabular.containers import Table, TaggedTable +from safeds.data.tabular.containers import Table, TaggedTable, TimeSeries def assert_that_tables_are_close(table1: Table, table2: Table) -> None: @@ -39,3 +39,20 @@ def assert_that_tagged_tables_are_equal(table1: TaggedTable, table2: TaggedTable assert table1.features == table2.features assert table1.target == table2.target assert table1 == table2 + +def assert_that_time_series_are_equal(table1: TimeSeries, table2: TimeSeries) -> None: + """ + Assert that two time series are equal. + + Parameters + ---------- + table1: TimeSeries + The first timeseries. + table2: TimeSeries + The timeseries to compare the first timeseries to. + """ + assert table1.schema == table2.schema + assert table1.features == table2.features + assert table1.target == table2.target + assert table1.time == table2.time + assert table1 == table2 \ No newline at end of file From ee71da8da22744a9aab4a6584ba207fd407e2480 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 6 Dec 2023 17:16:59 +0100 Subject: [PATCH 02/65] added alot of time_series feature and fixed bugs also I added alot of tests, I am done until the test_from_table and also time series functionalities needs to be added, this can take some time still(the testing takes alot of time) --- .../data/tabular/containers/_tagged_table.py | 8 +- .../data/tabular/containers/_time_series.py | 181 ++++++++++++++++-- 2 files changed, 174 insertions(+), 15 deletions(-) diff --git a/src/safeds/data/tabular/containers/_tagged_table.py b/src/safeds/data/tabular/containers/_tagged_table.py index e18bd6ce8..8316b0b65 100644 --- a/src/safeds/data/tabular/containers/_tagged_table.py +++ b/src/safeds/data/tabular/containers/_tagged_table.py @@ -350,7 +350,7 @@ def add_row(self, row: Row) -> TaggedTable: Returns ------- table : TaggedTable - A new table with the added row at the end. + A new tagged table with the added row at the end. Raises ------ @@ -373,7 +373,7 @@ def add_rows(self, rows: list[Row] | Table) -> TaggedTable: Returns ------- result : TaggedTable - A new table which combines the original table and the given rows. + A new tagged table which combines the original table and the given rows. Raises ------ @@ -386,7 +386,7 @@ def filter_rows(self, query: Callable[[Row], bool]) -> TaggedTable: """ Return a new `TaggedTable` containing only rows that match the given Callable (e.g. lambda function). - The original table is not modified. + The original tagged table is not modified. Parameters ---------- @@ -395,7 +395,7 @@ def filter_rows(self, query: Callable[[Row], bool]) -> TaggedTable: Returns ------- - table : TaggedTable + result : TaggedTable A table containing only the rows to match the query. """ return TaggedTable._from_table( diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 80cd57eda..6f05790e7 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -23,6 +23,7 @@ class TimeSeries(TaggedTable): + # Invarainte should be that a time is never a target or feature # target should always be an feature # date should never be an feature """ @@ -80,23 +81,28 @@ def _from_tagged_table( >>> tagged_table = TaggedTable({"date": ["01.01", "01.02", "01.03", "01.04"], "col1": ["a", "b", "c", "a"]}, "col1" ) >>> timeseries = TimeSeries._from_table(tagged_table, "date") """ + table = tagged_table._as_table() + #make sure that the time_name is not part of the features + result = object.__new__(TimeSeries) + feature_names = tagged_table.features.column_names + if time_name in feature_names: + feature_names.remove(time_name) #no need to validate the tagged table on tagged table specs - if time_name in tagged_table.features.column_names: + if time_name in feature_names: raise ValueError(f"Column '{time_name}' cannot be both time column and feature.") if time_name == tagged_table.target.name: raise ValueError(f"Column '{time_name}' cannot be both timecolumn and target.") - # Create Time Series Object - result = object.__new__(TimeSeries) + result._data = table._data result._schema = table.schema result._time = table.get_column(time_name) - result._features = table.keep_only_columns(tagged_table.features.column_names) + result._features = table.keep_only_columns(feature_names) result._target = table.get_column(tagged_table.target.name) return result @@ -135,9 +141,14 @@ def _from_table( >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "col1": ["a", "b", "c", "a"]}) >>> timeseries = TimeSeries._from_table(table, "f1", "date", ["f1"]) """ - + if feature_names is None: + feature_names = table.column_names + if time_name in feature_names: + feature_names.remove(time_name) + if target_name in feature_names: + feature_names.remove(target_name) tagged_table = TaggedTable._from_table(table=table, target_name= target_name, feature_names=feature_names) - + #check if time column got added as feature column return TimeSeries._from_tagged_table(tagged_table=tagged_table, time_name=time_name) # ------------------------------------------------------------------------------------------------------------------ @@ -179,12 +190,20 @@ def __init__( >>> from safeds.data.tabular.containers import TaggedTable >>> table = TaggedTable({"a": [1, 2, 3], "b": [4, 5, 6]}, "b", ["a"]) """ - - if time_name in feature_names: - raise ValueError(f"Date column '{time_name}' can not be an feature column.") + _data = Table(data) + # time sollte nicht in feature names sein auch wenn feature_names none ist + if feature_names is None: + feature_names = _data.column_names + if time_name in feature_names: + feature_names.remove(time_name) + if target_name in feature_names: + feature_names.remove(target_name) super().__init__(data, target_name, feature_names) - _data = Table(data) + + + if time_name in feature_names: + raise ValueError(f"Date column '{time_name}' can not be an feature column.") # Validate inputs if time_name not in (_data.column_names): @@ -217,6 +236,25 @@ def time(self) -> Column: # ------------------------------------------------------------------------------------------------------------------ # Overriden methods from TaggedTable class: # ------------------------------------------------------------------------------------------------------------------ + def _as_table(self: TimeSeries) -> Table: + """ + Return a new `Table` with the tagging removed. + + The original TaggedTable is not modified. + + Parameters + ---------- + self: TaggedTable + The TaggedTable. + + Returns + ------- + table: Table + The table as an untagged Table, i.e. without the information about which columns are features or target. + + """ + return Table.from_columns(super().to_columns()) + def add_column(self, column: Column) -> TimeSeries: """ Return a new `TimeSeries` with the provided column attached at the end, as neither target nor feature column. @@ -242,7 +280,7 @@ def add_column(self, column: Column) -> TimeSeries: """ return TimeSeries._from_tagged_table( super().add_column(column), - time_name = self.time, + time_name = self.time.name, ) def add_column_as_feature(self, column: Column) -> TimeSeries: """ @@ -269,5 +307,126 @@ def add_column_as_feature(self, column: Column) -> TimeSeries: """ return TimeSeries._from_tagged_table( super().add_column_as_feature(column), + time_name= self.time.name,) + + def add_columns_as_features(self, columns: list[Column] | Table) -> TimeSeries: + """ + Return a new `TimeSeries` with the provided columns attached at the end, as feature columns. + + The original time series is not modified. + + Parameters + ---------- + columns : list[Column] | Table + The columns to be added as features. + + Returns + ------- + result : TimeSeries + The time series with the attached feature columns. + + Raises + ------ + DuplicateColumnNameError + If any of the new feature columns already exist. + ColumnSizeError + If the size of any feature column does not match the number of rows. + """ + return TimeSeries._from_tagged_table( + super().add_columns_as_features(columns), + time_name= self.time.name,) + + def add_columns(self, columns: list[Column] | Table) -> TimeSeries: + """ + Return a new `TimeSeries` with multiple added columns, as neither target nor feature columns. + + The original table is not modified. + + Parameters + ---------- + columns : list[Column] or Table + The columns to be added. + + Returns + ------- + result: TimeSeries + A new time series combining the original table and the given columns as neither target nor feature columns. + + Raises + ------ + DuplicateColumnNameError + If at least one column name from the provided column list already exists in the table. + ColumnSizeError + If at least one of the column sizes from the provided column list does not match the table. + """ + return TimeSeries._from_tagged_table( + super().add_columns(columns), + time_name = self.time.name, + ) + def add_row(self, row: Row) -> TimeSeries: + """ + Return a new `TimeSeries` with an added Row attached. + + The original table is not modified. + + Parameters + ---------- + row : Row + The row to be added. + + Returns + ------- + table : TimeSeries + A new time series with the added row at the end. + + Raises + ------ + UnknownColumnNameError + If the row has different column names than the table. + """ + return TimeSeries._from_tagged_table(super().add_row(row), + time_name= self.time.name) + + def add_rows(self, rows: list[Row] | Table) -> TimeSeries: + """ + Return a new `TimeSeries` with multiple added Rows attached. + + The original table is not modified. + + Parameters + ---------- + rows : list[Row] or Table + The rows to be added. + + Returns + ------- + result : TimeSeries + A new time series which combines the original table and the given rows. + + Raises + ------ + UnknownColumnNameError + If at least one of the rows have different column names than the table. + """ + return TimeSeries._from_tagged_table(super().add_rows(rows), + time_name = self.time.name) + def filter_rows(self, query: Callable[[Row], bool]) -> TimeSeries: + """ + Return a new `TimeSeries` containing only rows that match the given Callable (e.g. lambda function). + + The original time series is not modified. + + Parameters + ---------- + query : lambda function + A Callable that is applied to all rows. + + Returns + ------- + result: TimeSeries + A time series containing only the rows to match the query. + """ + return TimeSeries._from_tagged_table( + super().filter_rows(query), time_name= self.time.name, ) \ No newline at end of file From eb5b64ecd601279d68acee704a053f700c803507 Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 12 Dec 2023 17:32:59 +0100 Subject: [PATCH 03/65] - reestablished my workspace, which also took alot of time - added time series blue print and extended errors and tests - not having a great week, rthats --- poetry.lock | 843 +++++++++--------- .../data/tabular/containers/__init__.py | 1 + .../data/tabular/containers/_time_series.py | 158 +++- src/safeds/exceptions/__init__.py | 2 + src/safeds/exceptions/_data.py | 7 + .../_time_series/test_from_table.py | 163 ++++ .../_tagged_table/_time_series/test_init.py | 155 ++++ .../_time_series/test_keep_only_columns.py | 165 ++++ .../_time_series/test_moving_window.py | 40 + .../_time_series/test_remove_columns.py | 206 +++++ .../_table/_tagged_table/test_add_column.py | 2 +- 11 files changed, 1293 insertions(+), 449 deletions(-) create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py create mode 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false python-versions = ">=3.8" files = [ - {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"}, - {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"}, + {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"}, + {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"}, ] [[package]] @@ -4058,13 +4067,13 @@ watchmedo = ["PyYAML (>=3.10)"] [[package]] name = "wcwidth" -version = "0.2.10" +version = "0.2.12" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = "*" files = [ - {file = "wcwidth-0.2.10-py2.py3-none-any.whl", hash = "sha256:aec5179002dd0f0d40c456026e74a729661c9d468e1ed64405e3a6c2176ca36f"}, - {file = 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{file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"}, ] [package.extras] diff --git a/src/safeds/data/tabular/containers/__init__.py b/src/safeds/data/tabular/containers/__init__.py index eaa9cea47..6488edb2a 100644 --- a/src/safeds/data/tabular/containers/__init__.py +++ b/src/safeds/data/tabular/containers/__init__.py @@ -11,4 +11,5 @@ "Row", "Table", "TaggedTable", + "TimeSeries", ] diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 6f05790e7..092ca44db 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -10,8 +10,11 @@ from typing import TYPE_CHECKING from safeds.data.tabular.containers import Column, Row, Table, TaggedTable +from safeds.data.image.containers import Image + from safeds.exceptions import ( ColumnIsTargetError, + ColumnIsTimeError, IllegalSchemaModificationError, UnknownColumnNameError, ) @@ -21,13 +24,12 @@ from typing import Any - class TimeSeries(TaggedTable): # Invarainte should be that a time is never a target or feature # target should always be an feature # date should never be an feature """ - A TimeSeries is a tagged table that additionally knows which column is the time column + A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. A Time Column should neve be an feature ---------- @@ -49,6 +51,7 @@ class TimeSeries(TaggedTable): ValueError If no feature columns are specified. """ + # ------------------------------------------------------------------------------------------------------------------ # Creation # ------------------------------------------------------------------------------------------------------------------ @@ -68,7 +71,7 @@ def _from_tagged_table( ------- time_series : TimeSeries the created time series - + Raises ------ UnknownColumnError @@ -83,21 +86,18 @@ def _from_tagged_table( """ table = tagged_table._as_table() - #make sure that the time_name is not part of the features + # make sure that the time_name is not part of the features result = object.__new__(TimeSeries) feature_names = tagged_table.features.column_names if time_name in feature_names: feature_names.remove(time_name) - #no need to validate the tagged table on tagged table specs + # no need to validate the tagged table on tagged table specs if time_name in feature_names: raise ValueError(f"Column '{time_name}' cannot be both time column and feature.") - + if time_name == tagged_table.target.name: raise ValueError(f"Column '{time_name}' cannot be both timecolumn and target.") - - - result._data = table._data result._schema = table.schema @@ -128,7 +128,7 @@ def _from_table( ------- time_series : TimeSeries the created time series - + Raises ------ UnknownColumnError @@ -144,13 +144,13 @@ def _from_table( if feature_names is None: feature_names = table.column_names if time_name in feature_names: - feature_names.remove(time_name) + feature_names.remove(time_name) if target_name in feature_names: feature_names.remove(target_name) - tagged_table = TaggedTable._from_table(table=table, target_name= target_name, feature_names=feature_names) - #check if time column got added as feature column + tagged_table = TaggedTable._from_table(table=table, target_name=target_name, feature_names=feature_names) + # check if time column got added as feature column return TimeSeries._from_tagged_table(tagged_table=tagged_table, time_name=time_name) - + # ------------------------------------------------------------------------------------------------------------------ # Dunder methods # ------------------------------------------------------------------------------------------------------------------ @@ -195,13 +195,12 @@ def __init__( if feature_names is None: feature_names = _data.column_names if time_name in feature_names: - feature_names.remove(time_name) + feature_names.remove(time_name) if target_name in feature_names: feature_names.remove(target_name) super().__init__(data, target_name, feature_names) - if time_name in feature_names: raise ValueError(f"Date column '{time_name}' can not be an feature column.") @@ -226,12 +225,27 @@ def time(self) -> Column: The time column. """ return self._time - + # ------------------------------------------------------------------------------------------------------------------ # Specific methods from time series class: # ------------------------------------------------------------------------------------------------------------------ - - #ToDo: add Specific methods for time series dTable class + + def _create_moving_average(self, window_size: int) -> Column: + # calculate the windows and the moving average of a timeserties, this function for now only has intern use + # some unexpected behavior while casting to series agains, because it addds NAN values + return Column._from_pandas_series(pd.Series(self.target._data.rolling(window_size).mean())) + + def plot_moving_average(self, window_size: int) -> Image: + # this method should plot the moving average of a time series + pass + + def show_time_series(self) -> Image: + # this method should plot the time series + pass + + def decompose_time_series(self) -> Image: + # this Method should show a plot of a decomposed time series + pass # ------------------------------------------------------------------------------------------------------------------ # Overriden methods from TaggedTable class: @@ -280,8 +294,9 @@ def add_column(self, column: Column) -> TimeSeries: """ return TimeSeries._from_tagged_table( super().add_column(column), - time_name = self.time.name, + time_name=self.time.name, ) + def add_column_as_feature(self, column: Column) -> TimeSeries: """ Return a new time series with the provided column attached at the end, as a feature column. @@ -307,8 +322,8 @@ def add_column_as_feature(self, column: Column) -> TimeSeries: """ return TimeSeries._from_tagged_table( super().add_column_as_feature(column), - time_name= self.time.name,) - + time_name=self.time.name, ) + def add_columns_as_features(self, columns: list[Column] | Table) -> TimeSeries: """ Return a new `TimeSeries` with the provided columns attached at the end, as feature columns. @@ -334,8 +349,8 @@ def add_columns_as_features(self, columns: list[Column] | Table) -> TimeSeries: """ return TimeSeries._from_tagged_table( super().add_columns_as_features(columns), - time_name= self.time.name,) - + time_name=self.time.name, ) + def add_columns(self, columns: list[Column] | Table) -> TimeSeries: """ Return a new `TimeSeries` with multiple added columns, as neither target nor feature columns. @@ -361,8 +376,9 @@ def add_columns(self, columns: list[Column] | Table) -> TimeSeries: """ return TimeSeries._from_tagged_table( super().add_columns(columns), - time_name = self.time.name, + time_name=self.time.name, ) + def add_row(self, row: Row) -> TimeSeries: """ Return a new `TimeSeries` with an added Row attached. @@ -384,9 +400,9 @@ def add_row(self, row: Row) -> TimeSeries: UnknownColumnNameError If the row has different column names than the table. """ - return TimeSeries._from_tagged_table(super().add_row(row), - time_name= self.time.name) - + return TimeSeries._from_tagged_table(super().add_row(row), + time_name=self.time.name) + def add_rows(self, rows: list[Row] | Table) -> TimeSeries: """ Return a new `TimeSeries` with multiple added Rows attached. @@ -409,7 +425,8 @@ def add_rows(self, rows: list[Row] | Table) -> TimeSeries: If at least one of the rows have different column names than the table. """ return TimeSeries._from_tagged_table(super().add_rows(rows), - time_name = self.time.name) + time_name=self.time.name) + def filter_rows(self, query: Callable[[Row], bool]) -> TimeSeries: """ Return a new `TimeSeries` containing only rows that match the given Callable (e.g. lambda function). @@ -428,5 +445,84 @@ def filter_rows(self, query: Callable[[Row], bool]) -> TimeSeries: """ return TimeSeries._from_tagged_table( super().filter_rows(query), - time_name= self.time.name, - ) \ No newline at end of file + time_name=self.time.name, + ) + + def keep_only_columns(self, column_names: list[str]) -> TimeSeries: + """ + Return a new `TimeSeries` with only the given column(s). + + The original table is not modified. + + Parameters + ---------- + column_names : list[str] + A list containing only the columns to be kept. + + Returns + ------- + table : TimeSeries + A time series containing only the given column(s). + + Raises + ------ + UnknownColumnNameError + If any of the given columns does not exist. + IllegalSchemaModificationError + If none of the given columns is the target column or any of the feature columns. + """ + + if self.target.name not in column_names: + raise IllegalSchemaModificationError("Must keep the target column.") + if len(set(self.features.column_names).intersection(set(column_names))) == 0: + raise IllegalSchemaModificationError("Must keep at least one feature column.") + if self.time.name not in column_names: + raise IllegalSchemaModificationError("Must keep the time column.") + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().keep_only_columns(column_names), + target_name=self.target.name, + feature_names=sorted( + set(self.features.column_names).intersection(set(column_names)), + key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + ), + ), time_name=self.time.name) + + def remove_columns(self, column_names: list[str]) -> TimeSeries: + """ + Return a new `TimeSeries` with the given column(s) removed from the table. + + The original table is not modified. + + Parameters + ---------- + column_names : list[str] + The names of all columns to be dropped. + + Returns + ------- + table : TimeSeries + A time series without the given columns. + + Raises + ------ + UnknownColumnNameError + If any of the given columns does not exist. + ColumnIsTargetError + If any of the given columns is the target column. + IllegalSchemaModificationError + If the given columns contain all the feature columns. + """ + if self.target.name in column_names: + raise ColumnIsTargetError(self.target.name) + if len(set(self.features.column_names) - set(column_names)) == 0: + raise IllegalSchemaModificationError("You cannot remove every feature column.") + if self.time.name in column_names: + raise ColumnIsTimeError(self.time.name) + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().remove_columns(column_names), + target_name=self.target.name, + feature_names=sorted( + set(self.features.column_names) - set(column_names), + key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + ), + ), time_name=self.time.name) diff --git a/src/safeds/exceptions/__init__.py b/src/safeds/exceptions/__init__.py index 352334cf5..1e32248e9 100644 --- a/src/safeds/exceptions/__init__.py +++ b/src/safeds/exceptions/__init__.py @@ -2,6 +2,7 @@ from safeds.exceptions._data import ( ColumnIsTargetError, + ColumnIsTimeError, ColumnLengthMismatchError, ColumnSizeError, DuplicateColumnNameError, @@ -35,6 +36,7 @@ "OutOfBoundsError", # Data exceptions "ColumnIsTargetError", + "ColumnIsTimeError", "ColumnLengthMismatchError", "ColumnSizeError", "DuplicateColumnNameError", diff --git a/src/safeds/exceptions/_data.py b/src/safeds/exceptions/_data.py index 1465e4502..9a927ed5f 100644 --- a/src/safeds/exceptions/_data.py +++ b/src/safeds/exceptions/_data.py @@ -156,3 +156,10 @@ class ColumnIsTargetError(IllegalSchemaModificationError): def __init__(self, column_name: str) -> None: super().__init__(f'Column "{column_name}" is the target column and cannot be removed.') + + +class ColumnIsTimeError(IllegalSchemaModificationError): + """Exception raised in overriden methods of the Table class when removing tagged Columns from a TimeSeries.""" + + def __init__(self, column_name: str) -> None: + super().__init__(f'Column "{column_name}" is the time column and cannot be removed.') diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py new file mode 100644 index 000000000..1fdb4ecdb --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py @@ -0,0 +1,163 @@ +import pytest +from safeds.data.tabular.containers import Table, TimeSeries +from safeds.exceptions import UnknownColumnNameError + + +@pytest.mark.parametrize( + ("table", "target_name", "time_name", "feature_names", "error", "error_msg"), + [ + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + ["A", "B", "C", "D", "E"], + UnknownColumnNameError, + r"Could not find column\(s\) 'D, E'", + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "D", + "time", + ["A", "B", "C"], + UnknownColumnNameError, + r"Could not find column\(s\) 'D'", + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "A", + "time", + ["A", "B", "C"], + ValueError, + r"Column 'A' cannot be both feature and target.", + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "A", + "time", + [], + ValueError, + r"At least one feature column must be specified.", + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + }, + ), + "A", + "time", + None, + ValueError, + r"At least one feature column must be specified.", + ), + ], + ids=[ + "feature_does_not_exist", + "target_does_not_exist", + "target_and_feature_overlap", + "features_are_empty-explicitly", + "features_are_empty_implicitly", + ], +) +def test_should_raise_error( + table: Table, + target_name: str, + time_name: str, + feature_names: list[str] | None, + error: type[Exception], + error_msg: str, +) -> None: + with pytest.raises(error, match=error_msg): + TimeSeries._from_table(table, target_name=target_name, time_name=time_name, feature_names=feature_names) + + +@pytest.mark.parametrize( + ("table", "target_name", "time_name", "feature_names"), + [ + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + ["A", "B", "C"], + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + ["A", "C"], + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + None, + ), + ], + ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], +) +def test_should_create_a_tagged_table(table: Table, target_name: str, time_name: str, feature_names: list[str] | None) -> None: + time_series = TimeSeries._from_table(table, target_name=target_name, time_name=time_name, feature_names=feature_names) + feature_names = feature_names if feature_names is not None else table.remove_columns([target_name, time_name]).column_names + assert isinstance(time_series, TimeSeries) + assert time_series._features.column_names == feature_names + assert time_series._target.name == target_name + assert time_series._features == table.keep_only_columns(feature_names) + assert time_series._target == table.get_column(target_name) + assert time_series.time == table.get_column(time_name) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py new file mode 100644 index 000000000..23e6a57b0 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py @@ -0,0 +1,155 @@ +import pytest +from safeds.data.tabular.containers import Table, TimeSeries +from safeds.exceptions import UnknownColumnNameError + + +@pytest.mark.parametrize( + ("data","time_name", "target_name", "feature_names", "error", "error_msg"), + [ + ( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + "time", + "T", + ["A", "B", "C", "D", "E"], + UnknownColumnNameError, + r"Could not find column\(s\) 'D, E'", + ), + ( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + "time", + "D", + ["A", "B", "C"], + UnknownColumnNameError, + r"Could not find column\(s\) 'D'", + ), + ( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + "time", + "A", + ["A", "B", "C"], + ValueError, + r"Column 'A' cannot be both feature and target.", + ), + ( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + "time", + "D", + [], + ValueError, + r"At least one feature column must be specified.", + ), + ( + { + "time": [0, 1], + "A": [1, 4], + }, + "time", + "A", + None, + ValueError, + r"At least one feature column must be specified.", + ), + ], + ids=[ + "feature_does_not_exist", + "target_does_not_exist", + "target_and_feature_overlap", + "features_are_empty-explicitly", + "features_are_empty_implicitly", + ], +) +def test_should_raise_error( + data: dict[str, list[int]], + time_name: str, + target_name: str, + feature_names: list[str] | None, + error: type[Exception], + error_msg: str, +) -> None: + with pytest.raises(error, match=error_msg): + TimeSeries(data, target_name=target_name, time_name=time_name, feature_names=feature_names) + + +@pytest.mark.parametrize( + ("data","time_name", "target_name", "feature_names"), + [ + ( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + "time", + "T", + ["A", "B", "C"], + ), + ( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + "time", + "T", + ["A", "C"], + ), + ( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + "time", + "T", + None, + ), + ], + ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], +) +def test_should_create_a_tagged_table( + data: dict[str, list[int]], + time_name: str, + target_name: str, + feature_names: list[str] | None, +) -> None: + time_series = TimeSeries(data, target_name=target_name, time_name=time_name, feature_names=feature_names) + if feature_names is None: + feature_names = list(data.keys()) + feature_names.remove(target_name) + feature_names.remove(time_name) + assert isinstance(time_series, TimeSeries) + assert time_series._features.column_names == feature_names + assert time_series._target.name == target_name + assert time_series._features == Table(data).keep_only_columns(feature_names) + assert time_series._target == Table(data).get_column(target_name) + assert time_series.time == Table(data).get_column(time_name) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py new file mode 100644 index 000000000..99f01c177 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py @@ -0,0 +1,165 @@ +import pytest +from safeds.data.tabular.containers import Table, TimeSeries +from safeds.exceptions import IllegalSchemaModificationError + +from tests.helpers import assert_that_tagged_tables_are_equal + + +@pytest.mark.parametrize( + ("table", "column_names", "expected"), + [ + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1 ,2], + "feat1": [1, 2, 3], + "feat2": [4, 5, 6], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ), + ["feat1", "target", "time"], + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat1": [1, 2, 3], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ), + ), + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat1": [1, 2, 3], + "feat2": [4, 5, 6], + "other": [3, 4, 5], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ), + ["feat1", "other", "target", "time"], + TimeSeries._from_table( + Table( + { + "time" : [0, 1, 2], + "feat1": [1, 2, 3], + "other": [3, 4, 5], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ), + ), + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat1": [1, 2, 3], + "feat2": [4, 5, 6], + "other": [3, 4, 5], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ), + ["feat1", "target", "time"], + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat1": [1, 2, 3], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ), + ), + ], + ids=["keep_feature_and_target_column", "keep_non_feature_column", "don't_keep_non_feature_column"], +) +def test_should_return_table(table: TimeSeries, column_names: list[str], expected: TimeSeries) -> None: + new_table = table.keep_only_columns(column_names) + assert_that_tagged_tables_are_equal(new_table, expected) + + +@pytest.mark.parametrize( + ("table", "column_names", "error_msg"), + [ + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat1": [1, 2, 3], + "feat2": [4, 5, 6], + "other": [3, 5, 7], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ["feat1", "feat2"], + ), + ["feat1", "feat2"], + r"Illegal schema modification: Must keep the target column.", + ), + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat1": [1, 2, 3], + "feat2": [4, 5, 6], + "other": [3, 5, 7], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ["feat1", "feat2"], + ), + ["target", "other"], + r"Illegal schema modification: Must keep at least one feature column.", + ), +( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat1": [1, 2, 3], + "feat2": [4, 5, 6], + "other": [3, 5, 7], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ["feat1", "feat2"], + ), + ["target", "feat1", "other"], + r"Illegal schema modification: Must keep the time column.", + ), + ], + ids=["table_remove_target", "table_remove_all_features", "table_remove_time"], +) +def test_should_raise_illegal_schema_modification(table: TimeSeries, column_names: list[str], error_msg: str) -> None: + with pytest.raises( + IllegalSchemaModificationError, + match=error_msg, + ): + table.keep_only_columns(column_names) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_moving_window.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_moving_window.py new file mode 100644 index 000000000..9aafeb68d --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_moving_window.py @@ -0,0 +1,40 @@ +import pytest +from src.safeds.data.tabular.containers import Column, TaggedTable, TimeSeries + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("time_series", "column", "expected_time_series"), + [ + ( + TimeSeries( + { + "time" : [0,1,2], + "feature_1": [0, 1, 2], + "target": [3, 4, 5], + }, + target_name = "target", + time_name = "time", + feature_names = None, + ), + Column("other", [6, 7, 8]), + TimeSeries( + { + "time" : [0,1,2], + "feature_1": [0, 1, 2], + "target": [3, 4, 5], + "other": [6, 7, 8], + }, + target_name = "target", + time_name = "time", + feature_names = ["feature_1"], + ), + ), + ], + ids=["add_column_as_non_feature"], +) +def test_should_add_column(time_series: TimeSeries, column: Column, expected_time_series: TimeSeries) -> None: + #assert_that_time_series_are_equal(time_series.add_column(column), expected_time_series) + print(time_series._create_moving_average(2)) + assert False diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py new file mode 100644 index 000000000..71a08dde2 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py @@ -0,0 +1,206 @@ +import pytest +from safeds.data.tabular.containers import Table, TimeSeries +from safeds.exceptions import ColumnIsTargetError, IllegalSchemaModificationError + +from tests.helpers import assert_that_tagged_tables_are_equal + + +@pytest.mark.parametrize( + ("table", "columns", "expected"), + [ + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat_1": [1, 2, 3], + "feat_2": [4, 5, 6], + "non_feat_1": [2, 4, 6], + "non_feat_2": [3, 6, 9], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ["feat_1", "feat_2"], + ), + ["feat_2"], + TimeSeries._from_table( + Table({"time": [0, 1, 2], "feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "non_feat_2": [3, 6, 9], "target": [7, 8, 9]}), + "target", + "time", + ["feat_1"], + ), + ), + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat_1": [1, 2, 3], + "feat_2": [4, 5, 6], + "non_feat_1": [2, 4, 6], + "non_feat_2": [3, 6, 9], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ["feat_1", "feat_2"], + ), + ["non_feat_2"], + TimeSeries._from_table( + Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "feat_2": [4, 5, 6], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), + "target", + "time", + ["feat_1", "feat_2"], + + ), + ), + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat_1": [1, 2, 3], + "feat_2": [4, 5, 6], + "non_feat_1": [2, 4, 6], + "non_feat_2": [3, 6, 9], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ["feat_1", "feat_2"], + ), + ["non_feat_1", "non_feat_2"], + TimeSeries._from_table( + Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "feat_2": [4, 5, 6], "target": [7, 8, 9]}), + "target", + "time", + ["feat_1", "feat_2"], + ), + ), + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat_1": [1, 2, 3], + "feat_2": [4, 5, 6], + "non_feat_1": [2, 4, 6], + "non_feat_2": [3, 6, 9], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ["feat_1", "feat_2"], + ), + ["feat_2", "non_feat_2"], + TimeSeries._from_table( + Table({"time": [0, 1, 2], "feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), + "target", + "time", + ["feat_1"], + ), + ), + ( + TimeSeries._from_table( + Table( + { + "time": [0, 1, 2], + "feat_1": [1, 2, 3], + "non_feat_1": [2, 4, 6], + "target": [7, 8, 9], + }, + ), + "target", + "time", + ["feat_1"], + ), + [], + TimeSeries._from_table( + Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), + "target", + "time", + ["feat_1"], + ), + ), + ], + ids=[ + "remove_feature", + "remove_non_feature", + "remove_all_non_features", + "remove_some_feat_and_some_non_feat", + "remove_nothing", + ], +) +def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: TimeSeries) -> None: + new_table = table.remove_columns(columns) + assert_that_tagged_tables_are_equal(new_table, expected) + + +@pytest.mark.parametrize( + ("table", "columns", "error", "error_msg"), + [ + ( + TimeSeries._from_table( + Table({"time": [0, 1, 2],"feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), + "target", + "time", + ["feat"], + ), + ["target"], + ColumnIsTargetError, + r'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), + ( + TimeSeries._from_table( + Table({"time": [0, 1, 2],"feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), + "target", + "time", + ["feat"], + ), + ["non_feat", "target"], + ColumnIsTargetError, + r'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), + ( + TimeSeries._from_table( + Table({"time": [0, 1, 2], "feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), + "target", + "time", + ["feat"], + ), + ["feat"], + IllegalSchemaModificationError, + r"Illegal schema modification: You cannot remove every feature column.", + ), + ( + TimeSeries._from_table( + Table({"time": [0, 1, 2], "feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), + "target", + "time", + ["feat"], + ), + ["feat", "non_feat"], + IllegalSchemaModificationError, + r"Illegal schema modification: You cannot remove every feature column.", + ), + ], + ids=[ + "remove_only_target", + "remove_non_feat_and_target", + "remove_all_features", + "remove_non_feat_and_all_features", + ], +) +def test_should_raise_in_remove_columns( + table: TimeSeries, + columns: list[str], + error: type[Exception], + error_msg: str, +) -> None: + with pytest.raises(error, match=error_msg): + table.remove_columns(columns) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_add_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_add_column.py index 22bd87605..cefc1e14c 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_add_column.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_add_column.py @@ -1,5 +1,5 @@ import pytest -from safeds.data.tabular.containers import Column, TaggedTable +from src.safeds.data.tabular.containers import Column, TaggedTable from tests.helpers import assert_that_tagged_tables_are_equal From 1097bb755701f3b04c7ef7bd73ec4664897056b9 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 13 Dec 2023 15:26:55 +0100 Subject: [PATCH 04/65] added all needed tests and setting up the pr removed the tests for the new features and they are just there for blue print --- .../data/tabular/containers/_time_series.py | 329 +++++++++++++++++- .../_time_series/test_keep_only_columns.py | 4 +- .../_time_series/test_moving_window.py | 40 --- .../_time_series/test_remove_columns.py | 4 +- ...test_remove_columns_with_missing_values.py | 221 ++++++++++++ ...emove_columns_with_non_numerical_values.py | 218 ++++++++++++ .../test_remove_duplicate_rows.py | 55 +++ .../test_remove_rows_with_missing_values.py | 56 +++ .../test_remove_rows_with_outliers.py | 55 +++ .../_time_series/test_rename_column.py | 124 +++++++ .../_time_series/test_replace_column.py | 249 +++++++++++++ .../_time_series/test_slice_rows.py | 58 +++ .../_time_series/test_sort_columns.py | 62 ++++ .../_time_series/test_time_target.py | 28 ++ .../_time_series/test_transform_column.py | 95 +++++ .../_tagged_table/test_replace_column.py | 7 +- .../_table/_tagged_table/test_sort_columns.py | 2 +- 17 files changed, 1558 insertions(+), 49 deletions(-) delete mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_moving_window.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_non_numerical_values.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_duplicate_rows.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_outliers.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_rename_column.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_replace_column.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_slice_rows.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_sort_columns.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_transform_column.py diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 092ca44db..466fca3c5 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -233,8 +233,8 @@ def time(self) -> Column: def _create_moving_average(self, window_size: int) -> Column: # calculate the windows and the moving average of a timeserties, this function for now only has intern use # some unexpected behavior while casting to series agains, because it addds NAN values - return Column._from_pandas_series(pd.Series(self.target._data.rolling(window_size).mean())) - + #return Column._from_pandas_series(pd.Series(self.target._data.rolling(window_size).mean())) + pass def plot_moving_average(self, window_size: int) -> Image: # this method should plot the moving average of a time series pass @@ -526,3 +526,328 @@ def remove_columns(self, column_names: list[str]) -> TimeSeries: key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, ), ), time_name=self.time.name) + + def remove_columns_with_missing_values(self) -> TimeSeries: + """ + Return a new `TimeSeries` with every column that misses values removed. + + The original table is not modified. + + Returns + ------- + table : TimeSeries + A time series without the columns that contain missing values. + + Raises + ------ + ColumnIsTargetError + If any of the columns to be removed is the target column. + IllegalSchemaModificationError + If the columns to remove contain all the feature columns. + """ + table = super().remove_columns_with_missing_values() + if self.target.name not in table.column_names: + raise ColumnIsTargetError(self.target.name) + if len(set(self.features.column_names).intersection(set(table.column_names))) == 0: + raise IllegalSchemaModificationError("You cannot remove every feature column.") + if self.time.name not in table.column_names: + raise ColumnIsTimeError(self.time.name) + return TimeSeries._from_tagged_table(TaggedTable._from_table( + table, + self.target.name, + feature_names=sorted( + set(self.features.column_names).intersection(set(table.column_names)), + key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + ), + ), time_name=self.time.name) + + def remove_columns_with_non_numerical_values(self) -> TimeSeries: + """ + Return a new `TimeSeries` with every column that contains non-numerical values removed. + + The original table is not modified. + + Returns + ------- + table : TimeSeries + A time series without the columns that contain non-numerical values. + + Raises + ------ + ColumnIsTargetError + If any of the columns to be removed is the target column. + IllegalSchemaModificationError + If the columns to remove contain all the feature columns. + """ + table = super().remove_columns_with_non_numerical_values() + if self.target.name not in table.column_names: + raise ColumnIsTargetError(self.target.name) + if len(set(self.features.column_names).intersection(set(table.column_names))) == 0: + raise IllegalSchemaModificationError("You cannot remove every feature column.") + if self.time.name not in table.column_names: + raise ColumnIsTimeError(self.time.name) + return TimeSeries._from_tagged_table(TaggedTable._from_table( + table, + self.target.name, + feature_names=sorted( + set(self.features.column_names).intersection(set(table.column_names)), + key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + ), + ), time_name=self.time.name) + + def remove_duplicate_rows(self) -> TimeSeries: + """ + Return a new `TimeSeries` with all row duplicates removed. + + The original time series is not modified. + + Returns + ------- + result : TimeSeries + The time series with the duplicate rows removed. + """ + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().remove_duplicate_rows(), + target_name=self.target.name, + feature_names=self.features.column_names, + ), time_name=self.time.name) + + def remove_rows_with_missing_values(self) -> TimeSeries: + """ + Return a new `TimeSeries` without the rows that contain missing values. + + The original time series is not modified. + + Returns + ------- + table : TimeSeries + A time series without the rows that contain missing values. + """ + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().remove_rows_with_missing_values(), + target_name=self.target.name, + feature_names=self.features.column_names, + ), time_name=self.time.name) + + def remove_rows_with_outliers(self) -> TimeSeries: + """ + Return a new `TimeSeries` with all rows that contain at least one outlier removed. + + We define an outlier as a value that has a distance of more than 3 standard deviations from the column mean. + Missing values are not considered outliers. They are also ignored during the calculation of the standard + deviation. + + The original time series is not modified. + + Returns + ------- + new_time_series : TimeSeries + A new time series without rows containing outliers. + """ + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().remove_rows_with_outliers(), + target_name=self.target.name, + feature_names=self.features.column_names, + ), time_name=self.time.name) + + def rename_column(self, old_name: str, new_name: str) -> TimeSeries: + """ + Return a new `TimeSeries` with a single column renamed. + + The original time series is not modified. + + Parameters + ---------- + old_name : str + The old name of the target column. + new_name : str + The new name of the target column. + + Returns + ------- + table : TimeSeries + The time series with the renamed column. + + Raises + ------ + UnknownColumnNameError + If the specified old target column name does not exist. + DuplicateColumnNameError + If the specified new target column name already exists. + """ + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().rename_column(old_name, new_name), + target_name=new_name if self.target.name == old_name else self.target.name, + feature_names=( + self.features.column_names + if old_name not in self.features.column_names + else [ + column_name if column_name != old_name else new_name for column_name in self.features.column_names + ] + ), + ), time_name=new_name if self.time.name == old_name else self.time.name) + + def replace_column(self, old_column_name: str, new_columns: list[Column]) -> TimeSeries: + """ + Return a new `TimeSeries` with the specified old column replaced by a list of new columns. + + If the column to be replaced is the target column, it must be replaced by exactly one column. That column + becomes the new target column. If the column to be replaced is a feature column, the new columns that replace it + all become feature columns. + + The order of columns is kept. The original table is not modified. + + Parameters + ---------- + old_column_name : str + The name of the column to be replaced. + new_columns : list[Column] + The new columns replacing the old column. + + Returns + ------- + result : TimeSeries + A time series with the old column replaced by the new column. + + Raises + ------ + UnknownColumnNameError + If the old column does not exist. + DuplicateColumnNameError + If the new column already exists and the existing column is not affected by the replacement. + ColumnSizeError + If the size of the column does not match the amount of rows. + IllegalSchemaModificationError + If the target column would be removed or replaced by more than one column. + """ + if old_column_name == self.time.name: + if len(new_columns) != 1: + raise IllegalSchemaModificationError( + f'Time column "{self.time.name}" can only be replaced by exactly one new column.', + ) + else: + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().replace_column(old_column_name, new_columns), + target_name=self.target.name, + feature_names=self.features.column_names, + ), time_name=new_columns[0].name) + if old_column_name == self.target.name: + if len(new_columns) != 1: + raise IllegalSchemaModificationError( + f'Target column "{self.target.name}" can only be replaced by exactly one new column.', + ) + else: + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().replace_column(old_column_name, new_columns), + target_name=new_columns[0].name, + feature_names=self.features.column_names, + ), time_name=self.time.name) + else: + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().replace_column(old_column_name, new_columns), + target_name=self.target.name, + feature_names=( + self.features.column_names + if old_column_name not in self.features.column_names + else self.features.column_names[: self.features.column_names.index(old_column_name)] + + [col.name for col in new_columns] + + self.features.column_names[self.features.column_names.index(old_column_name) + 1:] + ), + ), time_name=self.time.name) + + def slice_rows( + self, + start: int | None = None, + end: int | None = None, + step: int = 1, + ) -> TimeSeries: + """ + Slice a part of the table into a new `TimeSeries`. + + The original time series is not modified. + + Parameters + ---------- + start : int | None + The first index of the range to be copied into a new time series, None by default. + end : int | None + The last index of the range to be copied into a new time series, None by default. + step : int + The step size used to iterate through the time series, 1 by default. + + Returns + ------- + result : TimeSeries + The resulting time series. + + Raises + ------ + IndexOutOfBoundsError + If the index is out of bounds. + """ + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().slice_rows(start, end, step), + target_name=self.target.name, + feature_names=self.features.column_names, + ), time_name=self.time.name) + + def sort_columns( + self, + comparator: Callable[[Column, Column], int] = lambda col1, col2: (col1.name > col2.name) + - (col1.name < col2.name), + ) -> TimeSeries: + """ + Sort the columns of a `TimeSeries` with the given comparator and return a new `TimeSeries`. + + The comparator is a function that takes two columns `col1` and `col2` and + returns an integer: + + * If the function returns a negative number, `col1` will be ordered before `col2`. + * If the function returns a positive number, `col1` will be ordered after `col2`. + * If the function returns 0, the original order of `col1` and `col2` will be kept. + + If no comparator is given, the columns will be sorted alphabetically by their name. + + The original table is not modified. + + Parameters + ---------- + comparator : Callable[[Column, Column], int] + The function used to compare two columns. + + Returns + ------- + new_time_series : TimeSeries + A new time series with sorted columns. + """ + sorted_table = super().sort_columns(comparator) + return TimeSeries._from_tagged_table(TaggedTable._from_table( + sorted_table, + target_name=self.target.name, + feature_names=sorted( + set(sorted_table.column_names).intersection(self.features.column_names), + key={val: ix for ix, val in enumerate(sorted_table.column_names)}.__getitem__, + ), + ), time_name=self.time.name) + + def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> TimeSeries: + """ + Return a new `TimeSeries` with the provided column transformed by calling the provided transformer. + + The original time series is not modified. + + Returns + ------- + result : TimeSeries + The time series with the transformed column. + + Raises + ------ + UnknownColumnNameError + If the column does not exist. + """ + return TimeSeries._from_tagged_table(TaggedTable._from_table( + super().transform_column(name, transformer), + target_name=self.target.name, + feature_names=self.features.column_names, + ),time_name= self.time.name) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py index 99f01c177..ddd90ee5f 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py @@ -2,7 +2,7 @@ from safeds.data.tabular.containers import Table, TimeSeries from safeds.exceptions import IllegalSchemaModificationError -from tests.helpers import assert_that_tagged_tables_are_equal +from tests.helpers import assert_that_time_series_are_equal @pytest.mark.parametrize( @@ -94,7 +94,7 @@ ) def test_should_return_table(table: TimeSeries, column_names: list[str], expected: TimeSeries) -> None: new_table = table.keep_only_columns(column_names) - assert_that_tagged_tables_are_equal(new_table, expected) + assert_that_time_series_are_equal(new_table, expected) @pytest.mark.parametrize( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_moving_window.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_moving_window.py deleted file mode 100644 index 9aafeb68d..000000000 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_moving_window.py +++ /dev/null @@ -1,40 +0,0 @@ -import pytest -from src.safeds.data.tabular.containers import Column, TaggedTable, TimeSeries - -from tests.helpers import assert_that_time_series_are_equal - - -@pytest.mark.parametrize( - ("time_series", "column", "expected_time_series"), - [ - ( - TimeSeries( - { - "time" : [0,1,2], - "feature_1": [0, 1, 2], - "target": [3, 4, 5], - }, - target_name = "target", - time_name = "time", - feature_names = None, - ), - Column("other", [6, 7, 8]), - TimeSeries( - { - "time" : [0,1,2], - "feature_1": [0, 1, 2], - "target": [3, 4, 5], - "other": [6, 7, 8], - }, - target_name = "target", - time_name = "time", - feature_names = ["feature_1"], - ), - ), - ], - ids=["add_column_as_non_feature"], -) -def test_should_add_column(time_series: TimeSeries, column: Column, expected_time_series: TimeSeries) -> None: - #assert_that_time_series_are_equal(time_series.add_column(column), expected_time_series) - print(time_series._create_moving_average(2)) - assert False diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py index 71a08dde2..e1329d2d2 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py @@ -2,7 +2,7 @@ from safeds.data.tabular.containers import Table, TimeSeries from safeds.exceptions import ColumnIsTargetError, IllegalSchemaModificationError -from tests.helpers import assert_that_tagged_tables_are_equal +from tests.helpers import assert_that_time_series_are_equal @pytest.mark.parametrize( @@ -138,7 +138,7 @@ ) def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: TimeSeries) -> None: new_table = table.remove_columns(columns) - assert_that_tagged_tables_are_equal(new_table, expected) + assert_that_time_series_are_equal(new_table, expected) @pytest.mark.parametrize( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py new file mode 100644 index 000000000..3a2faa089 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py @@ -0,0 +1,221 @@ +import pytest +from safeds.data.tabular.containers import TimeSeries +from safeds.exceptions import ColumnIsTargetError, IllegalSchemaModificationError, ColumnIsTimeError + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("table", "expected"), + [ + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_complete": [0, 1, 2], + "feature_incomplete": [3, None, 5], + "non_feature_complete": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_complete", "feature_incomplete"], + ), + TimeSeries( + { + "time": [0, 1, 2], + "feature_complete": [0, 1, 2], + "non_feature_complete": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_complete"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_complete": [0, 1, 2], + "non_feature_complete": [7, 8, 9], + "non_feature_incomplete": [3, None, 5], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_complete"], + ), + TimeSeries( + { + "time": [0, 1, 2], + "feature_complete": [0, 1, 2], + "non_feature_complete": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_complete"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_complete": [0, 1, 2], + "non_feature_complete": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_complete"], + ), + TimeSeries( + { + "time": [0, 1, 2], + "feature_complete": [0, 1, 2], + "non_feature_complete": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_complete"], + ), + ), + ], + ids=["incomplete_feature", "incomplete_non_feature", "all_complete"], +) +def test_should_remove_columns_with_non_numerical_values(table: TimeSeries, expected: TimeSeries) -> None: + new_table = table.remove_columns_with_missing_values() + assert_that_time_series_are_equal(new_table, expected) + + +@pytest.mark.parametrize( + ("table", "error", "error_msg"), + [ + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "non_feature": [1, 2, 3], + "target": [3, None, 5], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTargetError, + 'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, None, 2], + "non_feature": [1, 2, 3], + "target": [None, 4, 5], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTargetError, + 'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), + ( + TimeSeries( + { + "time": [0, None, 2], + "feature": [0, 1, 2], + "non_feature": [1, 2, 3], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTimeError, + 'Illegal schema modification: Column "time" is the time column and cannot be removed.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "non_feature": [1, None, 3], + "target": [3, 4, None], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTargetError, + 'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, None, 2], + "non_feature": [1, None, 3], + "target": [3, None, 5], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTargetError, + 'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, None, 2], + "non_feature": [1, 2, 3], + "target": [3, 2, 5], + }, + "target", + "time", + ["feature"], + ), + IllegalSchemaModificationError, + "Illegal schema modification: You cannot remove every feature column.", + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, None, 2], + "non_feature": [1, None, 3], + "target": [3, 2, 5], + }, + "target", + "time", + ["feature"], + ), + IllegalSchemaModificationError, + "Illegal schema modification: You cannot remove every feature column.", + ), + ], + ids=[ + "only_target_incomplete", + "also_feature_incomplete", + "time_is_incomplete", + "also_non_feature_incomplete", + "all_incomplete", + "all_features_incomplete", + "all_features_and_non_feature_incomplete", + ], +) +def test_should_raise_in_remove_columns_with_missing_values( + table: TimeSeries, + error: type[Exception], + error_msg: str, +) -> None: + with pytest.raises( + error, + match=error_msg, + ): + table.remove_columns_with_missing_values() diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_non_numerical_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_non_numerical_values.py new file mode 100644 index 000000000..5e3fc0659 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_non_numerical_values.py @@ -0,0 +1,218 @@ +import pytest +from safeds.data.tabular.containers import TimeSeries +from safeds.exceptions import ColumnIsTargetError, IllegalSchemaModificationError, ColumnIsTimeError + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("table", "expected"), + [ + ( + TimeSeries( + { + "time":[0,1,2], + "feature_numerical": [0, 1, 2], + "feature_non_numerical": ["a", "b", "c"], + "non_feature_numerical": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_numerical", "feature_non_numerical"], + ), + TimeSeries( + { + "time": [0, 1, 2], + "feature_numerical": [0, 1, 2], + "non_feature_numerical": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_numerical"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_numerical": [0, 1, 2], + "non_feature_numerical": [7, 8, 9], + "non_feature_non_numerical": ["a", "b", "c"], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_numerical"], + ), + TimeSeries( + { + "time": [0, 1, 2], + "feature_numerical": [0, 1, 2], + "non_feature_numerical": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_numerical"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_numerical": [0, 1, 2], + "non_feature_numerical": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_numerical"], + ), + TimeSeries( + { + "time": [0, 1, 2], + "feature_numerical": [0, 1, 2], + "non_feature_numerical": [7, 8, 9], + "target": [3, 4, 5], + }, + "target", + "time", + ["feature_numerical"], + ), + ), + ], + ids=["non_numerical_feature", "non_numerical_non_feature", "all_numerical"], +) +def test_should_remove_columns_with_non_numerical_values(table: TimeSeries, expected: TimeSeries) -> None: + new_table = table.remove_columns_with_non_numerical_values() + assert_that_time_series_are_equal(new_table, expected) + + +@pytest.mark.parametrize( + ("table", "error", "error_msg"), + [ + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "non_feature": [1, 2, 3], + "target": ["a", "b", "c"], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTargetError, + r'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, "x", 2], + "non_feature": [1, 2, 3], + "target": ["a", "b", "c"], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTargetError, + r'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "non_feature": [1, "x", 3], + "target": ["a", "b", "c"], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTargetError, + r'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), +( + TimeSeries( + { + "time": ["!", "x", "2"], + "feature": [0, 1, 2], + "non_feature": [1, "x", 3], + "target": [1, 2, 3], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTimeError, + r'Illegal schema modification: Column "time" is the time column and cannot be removed.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, "x", 2], + "non_feature": [1, "x", 3], + "target": ["a", "b", "c"], + }, + "target", + "time", + ["feature"], + ), + ColumnIsTargetError, + r'Illegal schema modification: Column "target" is the target column and cannot be removed.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, "a", 2], + "non_feature": [1, 2, 3], + "target": [3, 2, 5], + }, + "target", + "time", + ["feature"], + ), + IllegalSchemaModificationError, + r"Illegal schema modification: You cannot remove every feature column.", + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, "a", 2], + "non_feature": [1, "b", 3], + "target": [3, 2, 5], + }, + "target", + "time", + ["feature"], + ), + IllegalSchemaModificationError, + r"Illegal schema modification: You cannot remove every feature column.", + ), + ], + ids=[ + "only_target_non_numerical", + "also_feature_non_numerical", + "also_non_feature_non_numerical", + "time_non_numerical", + "all_non_numerical", + "all_features_non_numerical", + "all_features_and_non_feature_non_numerical", + ], +) +def test_should_raise_in_remove_columns_with_non_numerical_values( + table: TimeSeries, + error: type[Exception], + error_msg: str, +) -> None: + with pytest.raises(error, match=error_msg): + table.remove_columns_with_non_numerical_values() diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_duplicate_rows.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_duplicate_rows.py new file mode 100644 index 000000000..f1eef5df0 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_duplicate_rows.py @@ -0,0 +1,55 @@ +import pytest +from safeds.data.tabular.containers import TimeSeries + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("table", "expected"), + [ + ( + TimeSeries( + { + "time":[0, 0, 1], + "feature": [0, 0, 1], + "target": [2, 2, 3], + }, + "target", + "time", + ), + TimeSeries( + { + "time": [0, 1], + "feature": [0, 1], + "target": [2, 3], + }, + "target", + "time", + ), + ), + ( + TimeSeries( + { + "time": [0, 0, 1], + "feature": [0, 1, 2], + "target": [2, 2, 3], + }, + "target", + "time", + ), + TimeSeries( + { + "time": [0, 0, 1], + "feature": [0, 1, 2], + "target": [2, 2, 3], + }, + "target", + "time", + ), + ), + ], + ids=["with_duplicate_rows", "without_duplicate_rows"], +) +def test_should_remove_duplicate_rows(table: TimeSeries, expected: TimeSeries) -> None: + new_table = table.remove_duplicate_rows() + assert_that_time_series_are_equal(new_table, expected) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py new file mode 100644 index 000000000..ad90d54a1 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py @@ -0,0 +1,56 @@ +import pytest +from safeds.data.tabular.containers import TimeSeries + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("table", "expected"), + [ + ( + TimeSeries( + { + "time":[0, 1, 2], + "feature": [0.0, None, 2.0], + "target": [3.0, 4.0, 5.0], + }, + "target", + "time", + ), + TimeSeries( + { + "time":[0, 2], + "feature": [0.0, 2.0], + "target": [3.0, 5.0], + }, + "target", + "time", + ), + + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0.0, 1.0, 2.0], + "target": [3.0, 4.0, 5.0], + }, + "target", + "time", + ), + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0.0, 1.0, 2.0], + "target": [3.0, 4.0, 5.0], + }, + "target", + "time", + ), + ), + ], + ids=["with_missing_values", "without_missing_values"], +) +def test_should_remove_rows_with_missing_values(table: TimeSeries, expected: TimeSeries) -> None: + new_table = table.remove_rows_with_missing_values() + assert_that_time_series_are_equal(new_table, expected) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_outliers.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_outliers.py new file mode 100644 index 000000000..9f2d88065 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_outliers.py @@ -0,0 +1,55 @@ +import pytest +from safeds.data.tabular.containers import TimeSeries + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("table", "expected"), + [ + ( + TimeSeries( + { + "time": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], + "feature": [1.0, 11.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + "target": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + }, + "target", + "time", + ), + TimeSeries( + { + "time": [0, 2, 3, 4, 5, 6, 7, 8, 9], + "feature": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + "target": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + }, + "target", + "time", + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], + "feature": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + "target": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + }, + "target", + "time", + ), + TimeSeries( + { + "time": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9], + "feature": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + "target": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + }, + "target", + "time", + ), + ), + ], + ids=["with_outliers", "no_outliers"], +) +def test_should_remove_rows_with_outliers(table: TimeSeries, expected: TimeSeries) -> None: + new_table = table.remove_rows_with_outliers() + assert_that_time_series_are_equal(new_table, expected) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_rename_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_rename_column.py new file mode 100644 index 000000000..22bb22284 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_rename_column.py @@ -0,0 +1,124 @@ +import pytest +from safeds.data.tabular.containers import TimeSeries + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("original_table", "old_column_name", "new_column_name", "result_table"), + [ + ( + TimeSeries( + { + "time" : [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature": [2, 3, 4], + "target": [3, 4, 5], + }, + target_name="target", + time_name= "time", + feature_names=["feature_old"], + ), + "feature_old", + "feature_new", + TimeSeries( + { + "time": [0, 1, 2], + "feature_new": [0, 1, 2], + "no_feature": [2, 3, 4], + "target": [3, 4, 5], + }, + target_name="target", + time_name="time", + feature_names=["feature_new"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "no_feature": [2, 3, 4], + "target_old": [3, 4, 5], + }, + target_name="target_old", + time_name="time", + feature_names=["feature"], + ), + "target_old", + "target_new", + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "no_feature": [2, 3, 4], + "target_new": [3, 4, 5], + }, + target_name="target_new", + time_name = "time", + feature_names=["feature"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target": [3, 4, 5], + }, + target_name="target", + time_name= "time", + feature_names=["feature"], + ), + "no_feature_old", + "no_feature_new", + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "no_feature_new": [2, 3, 4], + "target": [3, 4, 5], + }, + target_name="target", + time_name="time", + feature_names=["feature"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target": [3, 4, 5], + }, + target_name="target", + time_name= "time", + feature_names=["feature"], + ), + "time", + "new_time", + TimeSeries( + { + "new_time": [0, 1, 2], + "feature": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target": [3, 4, 5], + }, + target_name="target", + time_name="new_time", + feature_names=["feature"], + ), + ), + ], + ids=["rename_feature_column", "rename_target_column", "rename_non_feature_column", "rename_time_column"], +) +def test_should_rename_column( + original_table: TimeSeries, + old_column_name: str, + new_column_name: str, + result_table: TimeSeries, +) -> None: + new_table = original_table.rename_column(old_column_name, new_column_name) + assert_that_time_series_are_equal(new_table, result_table) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_replace_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_replace_column.py new file mode 100644 index 000000000..1f230b767 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_replace_column.py @@ -0,0 +1,249 @@ +import pytest +from safeds.data.tabular.containers import Column, TimeSeries +from safeds.exceptions import IllegalSchemaModificationError + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("original_table", "new_columns", "column_name_to_be_replaced", "result_table"), + [ + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ["feature_old"], + ), + [Column("feature_new", [2, 1, 0])], + "feature_old", + TimeSeries( + { + "time": [0, 1, 2], + "feature_new": [2, 1, 0], + "no_feature_old": [2, 3, 4], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ["feature_new"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ["feature_old"], + ), + [Column("feature_new_a", [2, 1, 0]), Column("feature_new_b", [4, 2, 0])], + "feature_old", + TimeSeries( + { + "time": [0, 1, 2], + "feature_new_a": [2, 1, 0], + "feature_new_b": [4, 2, 0], + "no_feature_old": [2, 3, 4], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ["feature_new_a", "feature_new_b"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ["feature_old"], + ), + [Column("no_feature_new", [2, 1, 0])], + "no_feature_old", + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature_new": [2, 1, 0], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ["feature_old"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ["feature_old"], + ), + [Column("no_feature_new_a", [2, 1, 0]), Column("no_feature_new_b", [4, 2, 0])], + "no_feature_old", + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature_new_a": [2, 1, 0], + "no_feature_new_b": [4, 2, 0], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ["feature_old"], + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ["feature_old"], + ), + [Column("target_new", [2, 1, 0])], + "target_old", + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target_new": [2, 1, 0], + }, + "target_new", + "time", + ["feature_old"], + ), + ), + ( + TimeSeries( + { + "time_old": [0, 1, 2], + "feature_old": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target_old": [3, 4, 5], + }, + "target_old", + "time_old", + ["feature_old"], + ), + [Column("time_new", [1, 2, 3])], + "time_old", + TimeSeries( + { + "time_new": [1, 2, 3], + "feature_old": [0, 1, 2], + "no_feature_old": [2, 3, 4], + "target_old": [3, 4, 5], + }, + "target_old", + "time_new", + ["feature_old"], + ), + ), + ], + ids=[ + "replace_feature_column_with_one", + "replace_feature_column_with_multiple", + "replace_non_feature_column_with_one", + "replace_non_feature_column_with_multiple", + "replace_target_column", + "replace_time_column", + ], +) +def test_should_replace_column( + original_table: TimeSeries, + new_columns: list[Column], + column_name_to_be_replaced: str, + result_table: TimeSeries, +) -> None: + new_table = original_table.replace_column(column_name_to_be_replaced, new_columns) + assert_that_time_series_are_equal(new_table, result_table) + + +@pytest.mark.parametrize( + ("original_table", "new_columns", "column_name_to_be_replaced","error"), + [ + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ), + [], + "target_old", + 'Target column "target_old" can only be replaced by exactly one new column.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ), + [Column("target_new_a", [2, 1, 0]), Column("target_new_b"), [4, 2, 0]], + "target_old", + 'Target column "target_old" can only be replaced by exactly one new column.', + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_old": [0, 1, 2], + "target_old": [3, 4, 5], + }, + "target_old", + "time", + ), + [Column("target_new_a", [2, 1, 0]), Column("target_new_b"), [4, 2, 0]], + "time", + 'Time column "time" can only be replaced by exactly one new column.', + ), + + ], + ids=["zero_columns", "multiple_columns", "time_column"], +) +# here should be tested with time column as well but the test is weird to be extended +def test_should_throw_illegal_schema_modification( + original_table: TimeSeries, + new_columns: list[Column], + column_name_to_be_replaced: str, + error: str, +) -> None: + with pytest.raises( + IllegalSchemaModificationError, + match=error, + ): + original_table.replace_column(column_name_to_be_replaced, new_columns) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_slice_rows.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_slice_rows.py new file mode 100644 index 000000000..4f1e7f268 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_slice_rows.py @@ -0,0 +1,58 @@ +import pytest +from _pytest.python_api import raises +from safeds.data.tabular.containers import TimeSeries +from safeds.exceptions import IndexOutOfBoundsError + +from tests.helpers import assert_that_tagged_tables_are_equal + + +@pytest.mark.parametrize( + ("table", "test_table", "second_test_table"), + [ + ( + TimeSeries( + data={"time":[0, 1, 2], "feature": [1, 2, 1], "non_feature": [0, 2, 4], "target": [1, 2, 4]}, + target_name="target", + time_name="time", + feature_names=["non_feature"], + ), + TimeSeries( + data={"time":[0, 1],"feature": [1, 2], "non_feature": [0, 2], "target": [1, 2]}, + target_name="target", + time_name="time", + feature_names=["non_feature"], + ), + TimeSeries( + {"time":[0, 2], "feature": [1, 1], "non_feature": [0, 4], "target": [1, 4]}, + target_name="target", + time_name="time", + feature_names=["non_feature"], + ), + ), + ], + ids=["Table with three rows"], +) +def test_should_slice_rows(table: TimeSeries, test_table: TimeSeries, second_test_table: TimeSeries) -> None: + new_table = table.slice_rows(0, 2, 1) + second_new_table = table.slice_rows(0, 3, 2) + third_new_table = table.slice_rows() + assert_that_tagged_tables_are_equal(new_table, test_table) + assert_that_tagged_tables_are_equal(second_new_table, second_test_table) + assert_that_tagged_tables_are_equal(third_new_table, table) + + +@pytest.mark.parametrize( + ("start", "end", "step", "error_message"), + [ + (3, 2, 1, r"There is no element in the range \[3, 2\]"), + (4, 0, 1, r"There is no element in the range \[4, 0\]"), + (0, 4, 1, r"There is no element at index '4'"), + (-4, 0, 1, r"There is no element at index '-4'"), + (0, -4, 1, r"There is no element in the range \[0, -4\]"), + ], +) +def test_should_raise_if_index_out_of_bounds(start: int, end: int, step: int, error_message: str) -> None: + table = TimeSeries({"time": [0, 1, 2], "feature": [1, 2, 1], "target": [1, 2, 4]}, "target", "time") + + with raises(IndexOutOfBoundsError, match=error_message): + table.slice_rows(start, end, step) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_sort_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_sort_columns.py new file mode 100644 index 000000000..c50bb9f78 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_sort_columns.py @@ -0,0 +1,62 @@ +from collections.abc import Callable + +import pytest +from safeds.data.tabular.containers import Column, TimeSeries + + +@pytest.mark.parametrize( + ("query", "col1", "col2", "col3", "col4", "col5"), + [ + (None, 0, 1, 2, 3, 4), + ( + lambda col1, col2: (col1.name < col2.name) - (col1.name > col2.name), + 4, + 3, + 2, + 1, + 0, + ), + ], + ids=["no query", "with query"], +) +def test_should_return_sorted_table( + query: Callable[[Column, Column], int], + col1: int, + col2: int, + col3: int, + col4: int, + col5: int, +) -> None: + columns = [ + Column("col1", ["A", "B", "C", "A", "D"]), + Column("col2", ["Test1", "Test1", "Test3", "Test1", "Test4"]), + Column("col3", [1, 2, 3, 4, 5]), + Column("col4", [2, 3, 1, 4, 6]), + Column("time", [0, 1, 2, 3, 4]), + ] + table1 = TimeSeries( + { + "col2": ["Test1", "Test1", "Test3", "Test1", "Test4"], + "col3": [1, 2, 3, 4, 5], + "col4": [2, 3, 1, 4, 6], + "col1": ["A", "B", "C", "A", "D"], + "time": [0, 1, 2, 3, 4], + }, + target_name="col1", + time_name="time", + feature_names=["col4", "col3"], + ) + if query is not None: + table_sorted = table1.sort_columns(query) + else: + table_sorted = table1.sort_columns() + table_sorted_columns = table_sorted.to_columns() + assert table_sorted.schema == table1.schema + assert table_sorted_columns[0] == columns[col1] + assert table_sorted_columns[1] == columns[col2] + assert table_sorted_columns[2] == columns[col3] + assert table_sorted_columns[3] == columns[col4] + assert table_sorted_columns[4] == columns[col5] + assert table_sorted.features == table1.features + assert table_sorted.target == table1.target + assert table_sorted.time == table1.time diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py new file mode 100644 index 000000000..3939e3190 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py @@ -0,0 +1,28 @@ +import pytest +from safeds.data.tabular.containers import Column, TimeSeries + + +@pytest.mark.parametrize( + ("time_series", "target_column", "time_column"), + [ + ( + TimeSeries( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + target_name="T", + time_name="time" + ), + Column("T", [0, 1]), + Column("time", [0, 1]), + ), + ], + ids=["target"], +) +def test_should_return_target(time_series: TimeSeries, target_column: Column, time_column) -> None: + assert time_series.target == target_column + assert time_series.time == time_column diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_transform_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_transform_column.py new file mode 100644 index 000000000..78183b0cd --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_transform_column.py @@ -0,0 +1,95 @@ +import pytest +from safeds.data.tabular.containers import TimeSeries +from safeds.exceptions import UnknownColumnNameError + +from tests.helpers import assert_that_time_series_are_equal + +# here is the time column transformable +@pytest.mark.parametrize( + ("table", "column_name", "table_transformed"), + [ + ( + TimeSeries({"time":[0, 1, 2],"feature_a": [1, 2, 3], "feature_b": [4, 5, 6], "target": [1, 2, 3]}, "target", "time"), + "feature_a", + TimeSeries({"time":[0, 1, 2], "feature_a": [2, 4, 6], "feature_b": [4, 5, 6], "target": [1, 2, 3]}, "target", "time"), + ), + ( + TimeSeries({"time":[0, 1, 2], "feature_a": [1, 2, 3], "feature_b": [4, 5, 6], "target": [1, 2, 3]}, "target", "time"), + "target", + TimeSeries({"time":[0, 1, 2], "feature_a": [1, 2, 3], "feature_b": [4, 5, 6], "target": [2, 4, 6]}, "target", "time"), + ), + ( + TimeSeries( + {"time":[0, 1, 2], "feature_a": [1, 2, 3], "b": [4, 5, 6], "target": [1, 2, 3]}, + target_name="target", + time_name= "time", + feature_names=["feature_a"], + ), + "b", + TimeSeries( + {"time":[0, 1, 2], "feature_a": [1, 2, 3], "b": [8, 10, 12], "target": [1, 2, 3]}, + target_name="target", + time_name= "time", + feature_names=["feature_a"], + ), + ), + ( + TimeSeries( + {"time": [0, 1, 2], "feature_a": [1, 2, 3], "b": [4, 5, 6], "target": [1, 2, 3]}, + target_name="target", + time_name="time", + feature_names=["feature_a"], + ), + "time", + TimeSeries( + {"time": [0, 2, 4], "feature_a": [1, 2, 3], "b": [4, 5, 6], "target": [1, 2, 3]}, + target_name="target", + time_name="time", + feature_names=["feature_a"], + ), + ), + ], + ids=["transform_feature_column", "transform_target_column", "transform_column_that_is_neither", "transform_time_col"], +) +def test_should_transform_column(table: TimeSeries, column_name: str, table_transformed: TimeSeries) -> None: + result = table.transform_column(column_name, lambda row: row.get_value(column_name) * 2) + assert_that_time_series_are_equal(result, table_transformed) + + +@pytest.mark.parametrize( + ("table", "column_name"), + [ + ( + TimeSeries( + { + "time":[0, 1, 2], + "A": [1, 2, 3], + "B": [4, 5, 6], + "C": ["a", "b", "c"], + }, + "C", + "time", + ), + "D", + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "A": [1, 2, 3], + "B": [4, 5, 6], + "C": ["a", "b", "c"], + }, + target_name="C", + time_name="time", + feature_names=["A"], + ), + "D", + ), + ], + ids=["has_only_features_and_target", "has_columns_that_are_neither"], +) +def test_should_raise_if_column_not_found(table: TimeSeries, column_name: str) -> None: + with pytest.raises(UnknownColumnNameError, match=rf"Could not find column\(s\) '{column_name}'"): + table.transform_column(column_name, lambda row: row.get_value("A") * 2) + diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_replace_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_replace_column.py index 72b773adc..201e13ba0 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_replace_column.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_replace_column.py @@ -140,7 +140,7 @@ def test_should_replace_column( @pytest.mark.parametrize( - ("original_table", "new_columns", "column_name_to_be_replaced"), + ("original_table", "new_columns", "column_name_to_be_replaced", "error"), [ ( TaggedTable( @@ -152,6 +152,7 @@ def test_should_replace_column( ), [], "target_old", + 'Target column "target_old" can only be replaced by exactly one new column.', ), ( TaggedTable( @@ -163,6 +164,7 @@ def test_should_replace_column( ), [Column("target_new_a", [2, 1, 0]), Column("target_new_b"), [4, 2, 0]], "target_old", + 'Target column "target_old" can only be replaced by exactly one new column.', ), ], ids=["zero_columns", "multiple_columns"], @@ -171,9 +173,10 @@ def test_should_throw_illegal_schema_modification( original_table: TaggedTable, new_columns: list[Column], column_name_to_be_replaced: str, + error: str, ) -> None: with pytest.raises( IllegalSchemaModificationError, - match='Target column "target_old" can only be replaced by exactly one new column.', + match=error, ): original_table.replace_column(column_name_to_be_replaced, new_columns) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_sort_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_sort_columns.py index 4ecdb78a7..bf6e58eb2 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_sort_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_sort_columns.py @@ -3,7 +3,7 @@ import pytest from safeds.data.tabular.containers import Column, TaggedTable - +# this tests seems written very specific //Gerhardsa0 @pytest.mark.parametrize( ("query", "col1", "col2", "col3", "col4"), [ From 031651cafa7160e3c586923dcfc4133eedecab1b Mon Sep 17 00:00:00 2001 From: Ettel Date: Thu, 14 Dec 2023 17:52:00 +0100 Subject: [PATCH 05/65] added comment so I can push my poetry --- .../_table/_tagged_table/_time_series/test_time_target.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py index 3939e3190..aa39a4bdd 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Column, TimeSeries - +#test @pytest.mark.parametrize( ("time_series", "target_column", "time_column"), From 0a52dfc5319ce2205242406c6972334a60931fc5 Mon Sep 17 00:00:00 2001 From: Simon Date: Fri, 15 Dec 2023 11:07:20 +0100 Subject: [PATCH 06/65] Update poetry.lock --- poetry.lock | 1463 ++++++++++++++++++++++++++++++++++----------------- 1 file changed, 970 insertions(+), 493 deletions(-) diff --git a/poetry.lock b/poetry.lock index 40a8ea1ae..35461ac14 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,14 +1,15 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. [[package]] name = "anyio" -version = "4.0.0" +version = "4.1.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" +category = "dev" optional = false python-versions = ">=3.8" files = [ - {file = "anyio-4.0.0-py3-none-any.whl", hash = "sha256:cfdb2b588b9fc25ede96d8db56ed50848b0b649dca3dd1df0b11f683bb9e0b5f"}, - {file = "anyio-4.0.0.tar.gz", hash = "sha256:f7ed51751b2c2add651e5747c891b47e26d2a21be5d32d9311dfe9692f3e5d7a"}, + {file = "anyio-4.1.0-py3-none-any.whl", hash = "sha256:56a415fbc462291813a94528a779597226619c8e78af7de0507333f700011e5f"}, + {file = "anyio-4.1.0.tar.gz", hash = "sha256:5a0bec7085176715be77df87fc66d6c9d70626bd752fcc85f57cdbee5b3760da"}, ] [package.dependencies] @@ -16,14 +17,15 @@ idna = ">=2.8" sniffio = ">=1.1" [package.extras] -doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"] -test = ["anyio[trio]", "coverage[toml] (>=7)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] -trio = ["trio (>=0.22)"] +doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"] +test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] +trio = ["trio (>=0.23)"] [[package]] name = "appnope" version = "0.1.3" description = "Disable App Nap on macOS >= 10.9" +category = "dev" optional = false python-versions = "*" files = [ @@ -35,6 +37,7 @@ files = [ name = "argon2-cffi" version = "23.1.0" description = "Argon2 for Python" +category = "dev" optional = false python-versions = ">=3.7" files = [ @@ -55,6 +58,7 @@ typing = ["mypy"] name = "argon2-cffi-bindings" version = "21.2.0" description = "Low-level CFFI bindings for Argon2" +category = "dev" optional = false python-versions = ">=3.6" files = [ @@ -92,6 +96,7 @@ tests = ["pytest"] name = "arrow" version = "1.3.0" description = "Better dates & times for Python" +category = "dev" optional = false python-versions = ">=3.8" files = [ @@ -105,12 +110,13 @@ types-python-dateutil = ">=2.8.10" [package.extras] doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"] -test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"] +test = ["dateparser (>=1.0.0,<2.0.0)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (>=3.0.0,<4.0.0)"] [[package]] name = "asttokens" version = "2.4.1" description = "Annotate AST trees with source code positions" +category = "main" optional = false python-versions = "*" files = [ @@ -129,6 +135,7 @@ test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] name = "async-lru" version = "2.0.4" description = "Simple LRU cache for asyncio" +category = "dev" optional = false python-versions = ">=3.8" files = [ @@ -140,6 +147,7 @@ files = [ name = "attrs" version = "23.1.0" description = "Classes Without Boilerplate" +category = "dev" optional = false python-versions = ">=3.7" files = [ @@ -156,18 +164,16 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte [[package]] name = "babel" -version = "2.13.1" +version = "2.14.0" description = "Internationalization utilities" +category = "dev" optional = false python-versions = ">=3.7" files = [ - 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Open, modern and actively maintained alternative to Chardet." +category = "dev" optional = false python-versions = ">=3.7.0" files = [ @@ -385,6 +396,7 @@ files = [ name = "click" version = "8.1.7" description = "Composable command line interface toolkit" +category = "dev" optional = false python-versions = ">=3.7" files = [ @@ -399,6 +411,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""} name = "colorama" version = "0.4.6" description = "Cross-platform colored terminal text." +category = "main" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" files = [ @@ -410,6 +423,7 @@ files = [ name = "comm" version = "0.2.0" description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." +category = "dev" optional = false python-versions = ">=3.8" files = [ @@ -427,6 +441,7 @@ test = ["pytest"] name = "contourpy" version = "1.2.0" description = "Python library for calculating contours of 2D 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Markdown parsing, done right!" +category = "dev" optional = false python-versions = ">=3.8" files = [ @@ -1601,6 +1721,7 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] name = "markupsafe" version = "2.1.3" description = "Safely add untrusted strings to HTML/XML markup." +category = "main" optional = false python-versions = ">=3.7" files = [ @@ -1670,6 +1791,7 @@ files = [ name = "matplotlib" version = "3.8.2" description = "Python plotting package" +category = "main" optional = false python-versions = ">=3.9" files = [ @@ -1718,6 +1840,7 @@ python-dateutil = ">=2.7" name = "matplotlib-inline" version = "0.1.6" description = "Inline Matplotlib backend for Jupyter" +category = "main" optional = false python-versions = ">=3.5" files = [ @@ -1732,6 +1855,7 @@ traitlets = "*" name = "mdit-py-plugins" version = "0.4.0" description = "Collection of plugins for markdown-it-py" +category = "dev" optional = false python-versions = ">=3.8" files = [ @@ -1751,6 +1875,7 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] name = "mdurl" version = "0.1.2" description = "Markdown URL utilities" +category = "dev" optional = false python-versions = ">=3.7" files = [ @@ -1762,6 +1887,7 @@ files = [ name = "mergedeep" version = "1.3.4" description = "A deep merge function for 🐍." +category = "dev" optional = false python-versions = ">=3.6" files = [ @@ -1773,6 +1899,7 @@ files = [ name = "mistune" version = "3.0.2" description = "A sane and fast Markdown parser with useful plugins and renderers" +category = "dev" optional = false python-versions = ">=3.7" files = [ @@ -1784,6 +1911,7 @@ files = [ name = "mkdocs" version = "1.5.3" description = "Project documentation with Markdown." +category = "dev" optional = false python-versions = ">=3.7" files = [ @@ -1814,6 +1942,7 @@ min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-imp name = "mkdocs-autorefs" version = "0.5.0" description = "Automatically link across pages in MkDocs." +category = "dev" optional = false python-versions = ">=3.8" files = [ @@ -1829,6 +1958,7 @@ mkdocs = ">=1.1" name = "mkdocs-exclude" version = "1.0.2" description = "A mkdocs plugin that lets you exclude files or trees." +category = "dev" optional = false python-versions = "*" files = [ @@ -1842,6 +1972,7 @@ mkdocs = "*" name = "mkdocs-gen-files" version = "0.5.0" description = "MkDocs plugin to programmatically generate documentation pages during the build" +category = "dev" optional = false python-versions = ">=3.7" files = [ @@ -1856,6 +1987,7 @@ mkdocs = ">=1.0.3" name = "mkdocs-glightbox" version = "0.3.5" description = "MkDocs plugin supports image lightbox with GLightbox." +category = "dev" optional = false python-versions = "*" files = [ @@ -1867,6 +1999,7 @@ files = [ name = "mkdocs-jupyter" version = "0.24.6" description = "Use Jupyter in mkdocs websites" +category = "dev" optional = false python-versions = ">=3.9" files = [ @@ -1886,6 +2019,7 @@ pygments = ">2.12.0" name = "mkdocs-literate-nav" version = "0.6.1" description = "MkDocs plugin to specify the navigation in Markdown instead of YAML" +category = "dev" optional = false python-versions = ">=3.7" files = [ @@ -1898,13 +2032,14 @@ mkdocs = ">=1.0.3" [[package]] name = "mkdocs-material" -version = "9.4.14" +version = "9.5.2" description = "Documentation that simply works" +category = "dev" optional = false python-versions = ">=3.8" files = [ - {file = "mkdocs_material-9.4.14-py3-none-any.whl", hash = "sha256:dbc78a4fea97b74319a6aa9a2f0be575a6028be6958f813ba367188f7b8428f6"}, - {file = "mkdocs_material-9.4.14.tar.gz", hash = "sha256:a511d3ff48fa8718b033e7e37d17abd9cc1de0fdf0244a625ca2ae2387e2416d"}, + {file = "mkdocs_material-9.5.2-py3-none-any.whl", hash = "sha256:6ed0fbf4682491766f0ec1acc955db6901c2fd424c7ab343964ef51b819741f5"}, + {file = "mkdocs_material-9.5.2.tar.gz", hash = "sha256:ca8b9cd2b3be53e858e5a1a45ac9668bd78d95d77a30288bb5ebc1a31db6184c"}, ] [package.dependencies] @@ -1927,19 +2062,21 @@ recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2. 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[metadata] lock-version = "1.1" python-versions = "^3.11,<3.13" -content-hash = "15f7ca4d6e76df8617df338cf0e2cbc0106b2a27db968738d718a38c3b592222" +content-hash = "d49a4e28faf089f01740474d72d2128e83f5aa3f0b64277b96f4a40ff0e07a4b" [metadata.files] anyio = [ diff --git a/pyproject.toml b/pyproject.toml index fbafd9be8..d49fa73aa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -23,7 +23,7 @@ pillow = ">=9.5,<11.0" scikit-image = ">=0.21,<0.23" scikit-learn = "^1.2.0" seaborn = "^0.13.0" -torch = "^2.1.1" +torch = "^2.1.2" [tool.poetry.group.dev.dependencies] pytest = "^7.2.1" From 03699b3b382731b22c9ff2eb3a211983bc883f1b Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Fri, 15 Dec 2023 12:41:42 +0100 Subject: [PATCH 11/65] edited example --- src/safeds/data/tabular/containers/_time_series.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 466fca3c5..8445109c6 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -82,7 +82,7 @@ def _from_tagged_table( -------- >>> from safeds.data.tabular.containers import Table, TimeSeries >>> tagged_table = TaggedTable({"date": ["01.01", "01.02", "01.03", "01.04"], "col1": ["a", "b", "c", "a"]}, "col1" ) - >>> timeseries = TimeSeries._from_table(tagged_table, "date") + >>> timeseries = TimeSeries._from_tagged_table(tagged_table, time_name = "date") """ table = tagged_table._as_table() From b3f42d33013d7bd469548f171a9cad1fbc4f4b50 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Fri, 15 Dec 2023 12:48:17 +0100 Subject: [PATCH 12/65] edited example --- src/safeds/data/tabular/containers/_table.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index 3ebd6c17a..93824b0f9 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -37,7 +37,7 @@ from safeds.data.tabular.transformation import InvertibleTableTransformer, TableTransformer from ._tagged_table import TaggedTable - + from ._time_series import TimeSeries # Enable copy-on-write for pandas dataframes @@ -1717,7 +1717,7 @@ def tag_columns(self, target_name: str, feature_names: list[str] | None = None) from ._tagged_table import TaggedTable return TaggedTable._from_table(self, target_name, feature_names) - + #rethink name here def time_columns(self, target_name: str,time_name: str, feature_names: list[str] | None = None) -> TimeSeries: """ @@ -1750,7 +1750,7 @@ def time_columns(self, target_name: str,time_name: str, feature_names: list[str] -------- >>> from safeds.data.tabular.containers import Table, TimeSeries >>> table = Table.from_dict({"time": ["01.01", "01.02", "01.03"], "price": [1.10, 1.19, 1.79], "amount_bought": [74, 72, 51]}) - >>> tagged_table = table.tag_columns(target_name="amount_bought", feature_names=["item", "price"]) + >>> tagged_table = table.tag_columns(target_name="amount_bought",time_name = "time", feature_names=["price"]) """ from ._time_series import TimeSeries return TimeSeries._from_table(self, target_name, time_name, feature_names) From aeb07d7cc25471cd3dafe006a6a0669b68350614 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Fri, 15 Dec 2023 12:55:01 +0100 Subject: [PATCH 13/65] edited example --- src/safeds/data/tabular/containers/_table.py | 11 ++++++----- src/safeds/data/tabular/containers/_time_series.py | 4 ++-- 2 files changed, 8 insertions(+), 7 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index 93824b0f9..f76d6ac14 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -1545,7 +1545,7 @@ def slice_rows( def sort_columns( self, comparator: Callable[[Column, Column], int] = lambda col1, col2: (col1.name > col2.name) - - (col1.name < col2.name), + - (col1.name < col2.name), ) -> Table: """ Sort the columns of a `Table` with the given comparator and return a new `Table`. @@ -1718,8 +1718,8 @@ def tag_columns(self, target_name: str, feature_names: list[str] | None = None) return TaggedTable._from_table(self, target_name, feature_names) - #rethink name here - def time_columns(self, target_name: str,time_name: str, feature_names: list[str] | None = None) -> TimeSeries: + # rethink name here + def time_columns(self, target_name: str, time_name: str, feature_names: list[str] | None = None) -> TimeSeries: """ Return a new `TimeSeries` with columns marked as a target and time column or feature columns. @@ -1750,10 +1750,11 @@ def time_columns(self, target_name: str,time_name: str, feature_names: list[str] -------- >>> from safeds.data.tabular.containers import Table, TimeSeries >>> table = Table.from_dict({"time": ["01.01", "01.02", "01.03"], "price": [1.10, 1.19, 1.79], "amount_bought": [74, 72, 51]}) - >>> tagged_table = table.tag_columns(target_name="amount_bought",time_name = "time", feature_names=["price"]) + >>> tagged_table = table.time_columns(target_name="amount_bought",time_name = "time", feature_names=["price"]) """ from ._time_series import TimeSeries - return TimeSeries._from_table(self, target_name, time_name, feature_names) + return TimeSeries._from_table(self, target_name, time_name, feature_names) + def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Table: """ Return a new `Table` with the provided column transformed by calling the provided transformer. diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 8445109c6..306a9dd83 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -138,8 +138,8 @@ def _from_table( Examples -------- >>> from safeds.data.tabular.containers import Table, TimeSeries - >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "col1": ["a", "b", "c", "a"]}) - >>> timeseries = TimeSeries._from_table(table, "f1", "date", ["f1"]) + >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) + >>> timeseries = TimeSeries._from_table(table, "t", "date", ["f1"]) """ if feature_names is None: feature_names = table.column_names From d8b0ec2aa9a430e4c1ed1d99f43fc89326b0dcda Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 19 Dec 2023 14:45:40 +0100 Subject: [PATCH 14/65] updated poetry.lock --- poetry.lock | 4393 +++++++++++++++++++++++++-------------------------- 1 file changed, 2109 insertions(+), 2284 deletions(-) diff --git a/poetry.lock b/poetry.lock index 8e1a98b79..2886c7f9f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,10 +1,15 @@ +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. + [[package]] 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interactive widgets for Jupyter Notebook" +optional = false +python-versions = ">=3.7" +files = [ {file = "widgetsnbextension-4.0.9-py3-none-any.whl", hash = "sha256:91452ca8445beb805792f206e560c1769284267a30ceb1cec9f5bcc887d15175"}, {file = "widgetsnbextension-4.0.9.tar.gz", hash = "sha256:3c1f5e46dc1166dfd40a42d685e6a51396fd34ff878742a3e47c6f0cc4a2a385"}, ] + +[metadata] +lock-version = "2.0" +python-versions = "^3.11,<3.13" +content-hash = "d49a4e28faf089f01740474d72d2128e83f5aa3f0b64277b96f4a40ff0e07a4b" From 49c7901f345662f2df766fad1f479dd3791e76ce Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 19 Dec 2023 15:23:16 +0100 Subject: [PATCH 15/65] updated poetry.lock --- .../tabular/containers/_table/_tagged_table/test_add_column.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_add_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_add_column.py index cefc1e14c..22bd87605 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_add_column.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_add_column.py @@ -1,5 +1,5 @@ import pytest -from src.safeds.data.tabular.containers import Column, TaggedTable +from safeds.data.tabular.containers import Column, TaggedTable from tests.helpers import assert_that_tagged_tables_are_equal From 2c498d62365b746cfd2a22eceaedcc7acd7fb918 Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 19 Dec 2023 15:36:54 +0100 Subject: [PATCH 16/65] some Linter Changes --- .../data/tabular/containers/_time_series.py | 93 ++++++++++--------- .../_time_series/test_time_target.py | 2 +- 2 files changed, 48 insertions(+), 47 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 306a9dd83..d66eb3893 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -10,7 +10,6 @@ from typing import TYPE_CHECKING from safeds.data.tabular.containers import Column, Row, Table, TaggedTable -from safeds.data.image.containers import Image from safeds.exceptions import ( ColumnIsTargetError, @@ -20,7 +19,9 @@ ) if TYPE_CHECKING: + from collections.abc import Callable, Mapping, Sequence + from safeds.data.image.containers import Image from typing import Any @@ -29,8 +30,7 @@ class TimeSeries(TaggedTable): # target should always be an feature # date should never be an feature """ - A TimeSeries is a tagged table that additionally knows which column is the time column - and uses the target column as an feature. + A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. A Time Column should neve be an feature ---------- data : Mapping[str, Sequence[Any]] @@ -107,49 +107,50 @@ def _from_tagged_table( return result @staticmethod - def _from_table( - table: Table, - target_name: str, - time_name: str, - feature_names: list[str] | None = None, - ) -> TimeSeries: - """Create a TimeSeries from a table - Parameters - ---------- - table : Table - The table. - target_name : str - Name of the target column. - time_name: str - Name of the date column. - feature_names : list[str] | None - Names of the feature columns. If None, all columns except the target column are used. - Retruns - ------- - time_series : TimeSeries - the created time series - - Raises - ------ - UnknownColumnError - If target_name matches none of the column names. - Value Error - If no feature columns are specified - Examples - -------- - >>> from safeds.data.tabular.containers import Table, TimeSeries - >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) - >>> timeseries = TimeSeries._from_table(table, "t", "date", ["f1"]) - """ - if feature_names is None: - feature_names = table.column_names - if time_name in feature_names: - feature_names.remove(time_name) - if target_name in feature_names: - feature_names.remove(target_name) - tagged_table = TaggedTable._from_table(table=table, target_name=target_name, feature_names=feature_names) - # check if time column got added as feature column - return TimeSeries._from_tagged_table(tagged_table=tagged_table, time_name=time_name) + #idk if this method should exist, because we cant use it like the Method in TaggedTable, but the Method is static and this seem to doesnt get checked by the megalinter. + #def _from_table( + # table: Table, + # target_name: str, + # time_name: str, + # feature_names: list[str] | None = None, + #) -> TimeSeries: + # """Create a TimeSeries from a table + # Parameters + # ---------- + # table : Table + # The table. + # target_name : str + # Name of the target column. + # time_name: str + # Name of the date column. + # feature_names : list[str] | None + # Names of the feature columns. If None, all columns except the target column are used. + # Retruns + # ------- + # time_series : TimeSeries + # the created time series + + # Raises + # ------ + # UnknownColumnError + # If target_name matches none of the column names. + # Value Error + # If no feature columns are specified + # Examples + # -------- + # >>> from safeds.data.tabular.containers import Table, TimeSeries + # >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) + # >>> timeseries = TimeSeries._from_table(table, "t", "date", ["f1"]) + # """ + # if feature_names is None: + # feature_names = table.column_names + # if time_name in feature_names: + # feature_names.remove(time_name) + # if target_name in feature_names: + # feature_names.remove(target_name) + # tagged_table = TaggedTable._from_table(table=table, target_name=target_name, feature_names=feature_names) + # # check if time column got added as feature column + # return TimeSeries._from_tagged_table(tagged_table=tagged_table, time_name=time_name) # ------------------------------------------------------------------------------------------------------------------ # Dunder methods diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py index aa39a4bdd..52d12ed43 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py @@ -23,6 +23,6 @@ ], ids=["target"], ) -def test_should_return_target(time_series: TimeSeries, target_column: Column, time_column) -> None: +def test_should_return_target(time_series: TimeSeries, target_column: Column, time_column : Column) -> None: assert time_series.target == target_column assert time_series.time == time_column From 2c674b236c5026ccb9bf690bc4fe11cd5f7b96de Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 19 Dec 2023 15:47:56 +0100 Subject: [PATCH 17/65] some Linter Changes --- .../data/tabular/containers/_time_series.py | 90 ++++++++++--------- 1 file changed, 46 insertions(+), 44 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index d66eb3893..fb3e70158 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -7,7 +7,7 @@ import torch.nn as nn from torch.utils.data import DataLoader from torch.utils.data import Dataset -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, override from safeds.data.tabular.containers import Column, Row, Table, TaggedTable @@ -21,6 +21,7 @@ if TYPE_CHECKING: from collections.abc import Callable, Mapping, Sequence + from safeds.data.image.containers import Image from typing import Any @@ -107,50 +108,51 @@ def _from_tagged_table( return result @staticmethod + @override #idk if this method should exist, because we cant use it like the Method in TaggedTable, but the Method is static and this seem to doesnt get checked by the megalinter. - #def _from_table( - # table: Table, - # target_name: str, - # time_name: str, - # feature_names: list[str] | None = None, - #) -> TimeSeries: - # """Create a TimeSeries from a table - # Parameters - # ---------- - # table : Table - # The table. - # target_name : str - # Name of the target column. - # time_name: str - # Name of the date column. - # feature_names : list[str] | None - # Names of the feature columns. If None, all columns except the target column are used. - # Retruns - # ------- - # time_series : TimeSeries - # the created time series - - # Raises - # ------ - # UnknownColumnError - # If target_name matches none of the column names. - # Value Error - # If no feature columns are specified - # Examples - # -------- - # >>> from safeds.data.tabular.containers import Table, TimeSeries - # >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) - # >>> timeseries = TimeSeries._from_table(table, "t", "date", ["f1"]) - # """ - # if feature_names is None: - # feature_names = table.column_names - # if time_name in feature_names: - # feature_names.remove(time_name) - # if target_name in feature_names: - # feature_names.remove(target_name) - # tagged_table = TaggedTable._from_table(table=table, target_name=target_name, feature_names=feature_names) - # # check if time column got added as feature column - # return TimeSeries._from_tagged_table(tagged_table=tagged_table, time_name=time_name) + def _from_table( + table: Table, + target_name: str, + time_name: str, + feature_names: list[str] | None = None, + ) -> TimeSeries: + """Create a TimeSeries from a table + Parameters + ---------- + table : Table + The table. + target_name : str + Name of the target column. + time_name: str + Name of the date column. + feature_names : list[str] | None + Names of the feature columns. If None, all columns except the target column are used. + Retruns + ------- + time_series : TimeSeries + the created time series + + Raises + ------ + UnknownColumnError + If target_name matches none of the column names. + Value Error + If no feature columns are specified + Examples + -------- + >>> from safeds.data.tabular.containers import Table, TimeSeries + >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) + >>> timeseries = TimeSeries._from_table(table, "t", "date", ["f1"]) + """ + if feature_names is None: + feature_names = table.column_names + if time_name in feature_names: + feature_names.remove(time_name) + if target_name in feature_names: + feature_names.remove(target_name) + tagged_table = TaggedTable._from_table(table=table, target_name=target_name, feature_names=feature_names) + # check if time column got added as feature column + return TimeSeries._from_tagged_table(tagged_table=tagged_table, time_name=time_name) # ------------------------------------------------------------------------------------------------------------------ # Dunder methods From f3ed1e06490cdeaac9f597252f928110f9edf923 Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 19 Dec 2023 16:26:52 +0100 Subject: [PATCH 18/65] some Linter Changes --- .../{containers => mn748512603,74120,3}/_time_series.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) rename src/safeds/data/tabular/{containers => mn748512603,74120,3}/_time_series.py (99%) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/ mn748512603,74120,3/_time_series.py similarity index 99% rename from src/safeds/data/tabular/containers/_time_series.py rename to src/safeds/data/tabular/ mn748512603,74120,3/_time_series.py index fb3e70158..943cbfaa5 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/ mn748512603,74120,3/_time_series.py @@ -7,7 +7,8 @@ import torch.nn as nn from torch.utils.data import DataLoader from torch.utils.data import Dataset -from typing import TYPE_CHECKING, override +from typing import TYPE_CHECKING +from typing import overload from safeds.data.tabular.containers import Column, Row, Table, TaggedTable @@ -108,7 +109,7 @@ def _from_tagged_table( return result @staticmethod - @override + @overload #idk if this method should exist, because we cant use it like the Method in TaggedTable, but the Method is static and this seem to doesnt get checked by the megalinter. def _from_table( table: Table, From c7eab124a08f79e975124b6712dc83502a1d3c6b Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 19 Dec 2023 16:54:43 +0100 Subject: [PATCH 19/65] spilled water over my keyboard, which changed the project and I reverted that I also dont know how I will handle the _from_table function --- .../tabular/{ mn748512603,74120,3 => containers}/_time_series.py | 1 - 1 file changed, 1 deletion(-) rename src/safeds/data/tabular/{ mn748512603,74120,3 => containers}/_time_series.py (99%) diff --git a/src/safeds/data/tabular/ mn748512603,74120,3/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py similarity index 99% rename from src/safeds/data/tabular/ mn748512603,74120,3/_time_series.py rename to src/safeds/data/tabular/containers/_time_series.py index 943cbfaa5..7ed8f680d 100644 --- a/src/safeds/data/tabular/ mn748512603,74120,3/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -109,7 +109,6 @@ def _from_tagged_table( return result @staticmethod - @overload #idk if this method should exist, because we cant use it like the Method in TaggedTable, but the Method is static and this seem to doesnt get checked by the megalinter. def _from_table( table: Table, From 2ee36d3855fbb0b3307f1f501493d1d5a9eb997a Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 19 Dec 2023 19:41:19 +0100 Subject: [PATCH 20/65] renamed the function, so the Liskov substitution principle is not conflicted rethink the take with inheritance hierarchy for the TimeSeries --- src/safeds/data/tabular/containers/_table.py | 2 +- .../data/tabular/containers/_time_series.py | 2 +- .../_time_series/test_from_table.py | 4 +-- .../_time_series/test_keep_only_columns.py | 18 ++++++------ .../_time_series/test_remove_columns.py | 28 +++++++++---------- 5 files changed, 27 insertions(+), 27 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index f76d6ac14..cca8d1aa5 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -1753,7 +1753,7 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str >>> tagged_table = table.time_columns(target_name="amount_bought",time_name = "time", feature_names=["price"]) """ from ._time_series import TimeSeries - return TimeSeries._from_table(self, target_name, time_name, feature_names) + return TimeSeries._from_table_to_tagged_table(self, target_name, time_name, feature_names) def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Table: """ diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 7ed8f680d..a0896469b 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -110,7 +110,7 @@ def _from_tagged_table( @staticmethod #idk if this method should exist, because we cant use it like the Method in TaggedTable, but the Method is static and this seem to doesnt get checked by the megalinter. - def _from_table( + def _from_table_to_tagged_table( table: Table, target_name: str, time_name: str, diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py index 1fdb4ecdb..0282517fe 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py @@ -101,7 +101,7 @@ def test_should_raise_error( error_msg: str, ) -> None: with pytest.raises(error, match=error_msg): - TimeSeries._from_table(table, target_name=target_name, time_name=time_name, feature_names=feature_names) + TimeSeries._from_table_to_tagged_table(table, target_name=target_name, time_name=time_name, feature_names=feature_names) @pytest.mark.parametrize( @@ -153,7 +153,7 @@ def test_should_raise_error( ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], ) def test_should_create_a_tagged_table(table: Table, target_name: str, time_name: str, feature_names: list[str] | None) -> None: - time_series = TimeSeries._from_table(table, target_name=target_name, time_name=time_name, feature_names=feature_names) + time_series = TimeSeries._from_table_to_tagged_table(table, target_name=target_name, time_name=time_name, feature_names=feature_names) feature_names = feature_names if feature_names is not None else table.remove_columns([target_name, time_name]).column_names assert isinstance(time_series, TimeSeries) assert time_series._features.column_names == feature_names diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py index ddd90ee5f..9f6717ecb 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py @@ -9,7 +9,7 @@ ("table", "column_names", "expected"), [ ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1 ,2], @@ -22,7 +22,7 @@ "time", ), ["feat1", "target", "time"], - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -35,7 +35,7 @@ ), ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -49,7 +49,7 @@ "time", ), ["feat1", "other", "target", "time"], - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time" : [0, 1, 2], @@ -63,7 +63,7 @@ ), ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -77,7 +77,7 @@ "time", ), ["feat1", "target", "time"], - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -101,7 +101,7 @@ def test_should_return_table(table: TimeSeries, column_names: list[str], expecte ("table", "column_names", "error_msg"), [ ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -119,7 +119,7 @@ def test_should_return_table(table: TimeSeries, column_names: list[str], expecte r"Illegal schema modification: Must keep the target column.", ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -137,7 +137,7 @@ def test_should_return_table(table: TimeSeries, column_names: list[str], expecte r"Illegal schema modification: Must keep at least one feature column.", ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py index e1329d2d2..fad3e7227 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py @@ -9,7 +9,7 @@ ("table", "columns", "expected"), [ ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -25,7 +25,7 @@ ["feat_1", "feat_2"], ), ["feat_2"], - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table({"time": [0, 1, 2], "feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "non_feat_2": [3, 6, 9], "target": [7, 8, 9]}), "target", "time", @@ -33,7 +33,7 @@ ), ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -49,7 +49,7 @@ ["feat_1", "feat_2"], ), ["non_feat_2"], - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "feat_2": [4, 5, 6], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), "target", "time", @@ -58,7 +58,7 @@ ), ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -74,7 +74,7 @@ ["feat_1", "feat_2"], ), ["non_feat_1", "non_feat_2"], - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "feat_2": [4, 5, 6], "target": [7, 8, 9]}), "target", "time", @@ -82,7 +82,7 @@ ), ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -98,7 +98,7 @@ ["feat_1", "feat_2"], ), ["feat_2", "non_feat_2"], - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table({"time": [0, 1, 2], "feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), "target", "time", @@ -106,7 +106,7 @@ ), ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table( { "time": [0, 1, 2], @@ -120,7 +120,7 @@ ["feat_1"], ), [], - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), "target", "time", @@ -145,7 +145,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: ("table", "columns", "error", "error_msg"), [ ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table({"time": [0, 1, 2],"feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", @@ -156,7 +156,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: r'Illegal schema modification: Column "target" is the target column and cannot be removed.', ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table({"time": [0, 1, 2],"feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", @@ -167,7 +167,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: r'Illegal schema modification: Column "target" is the target column and cannot be removed.', ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table({"time": [0, 1, 2], "feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", @@ -178,7 +178,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: r"Illegal schema modification: You cannot remove every feature column.", ), ( - TimeSeries._from_table( + TimeSeries._from_table_to_tagged_table( Table({"time": [0, 1, 2], "feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", From 369a42fed7638706b5fabbaaa2b41474da2307a8 Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 19 Dec 2023 19:45:12 +0100 Subject: [PATCH 21/65] updated comment --- src/safeds/data/tabular/containers/_time_series.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index a0896469b..26a787b73 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -142,7 +142,7 @@ def _from_table_to_tagged_table( -------- >>> from safeds.data.tabular.containers import Table, TimeSeries >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) - >>> timeseries = TimeSeries._from_table(table, "t", "date", ["f1"]) + >>> timeseries = TimeSeries._from_table_to_tagged_table(table, "t", "date", ["f1"]) """ if feature_names is None: feature_names = table.column_names From f5e1b9912e33d652e8e95bf44ed091b77bc1f4ef Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 12:32:35 +0100 Subject: [PATCH 22/65] updated comment --- src/safeds/data/tabular/containers/_time_series.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 26a787b73..b53cce05a 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -30,7 +30,7 @@ class TimeSeries(TaggedTable): # Invarainte should be that a time is never a target or feature # target should always be an feature - # date should never be an feature + # date should never be an feature test """ A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. A Time Column should neve be an feature From b5373e57f9234828cbbd8e825bcaa415054ac921 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 12:39:11 +0100 Subject: [PATCH 23/65] updated comment --- poetry.lock | 1327 +++++++++++------ .../data/tabular/containers/_time_series.py | 2 +- 2 files changed, 835 insertions(+), 494 deletions(-) diff --git a/poetry.lock b/poetry.lock index 2b1378552..6a9202250 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,13 +2,13 @@ [[package]] name = "anyio" -version = "4.0.0" +version = "4.2.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.8" files = [ - {file = "anyio-4.0.0-py3-none-any.whl", hash = "sha256:cfdb2b588b9fc25ede96d8db56ed50848b0b649dca3dd1df0b11f683bb9e0b5f"}, - {file = "anyio-4.0.0.tar.gz", hash = "sha256:f7ed51751b2c2add651e5747c891b47e26d2a21be5d32d9311dfe9692f3e5d7a"}, + {file = "anyio-4.2.0-py3-none-any.whl", hash = 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[[package]] name = "types-python-dateutil" @@ -3622,6 +3952,17 @@ files = [ {file = "types_python_dateutil-2.8.19.14-py3-none-any.whl", hash = "sha256:f977b8de27787639986b4e28963263fd0e5158942b3ecef91b9335c130cb1ce9"}, ] +[[package]] +name = "typing-extensions" +version = "4.9.0" +description = "Backported and Experimental Type Hints for Python 3.8+" +optional = false +python-versions = ">=3.8" +files = [ + {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"}, + {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"}, +] + [[package]] name = "tzdata" version = "2023.3" @@ -3704,13 +4045,13 @@ watchmedo = ["PyYAML (>=3.10)"] [[package]] name = "wcwidth" -version = "0.2.10" +version = "0.2.12" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = "*" files = [ - {file = "wcwidth-0.2.10-py2.py3-none-any.whl", hash = "sha256:aec5179002dd0f0d40c456026e74a729661c9d468e1ed64405e3a6c2176ca36f"}, - {file = "wcwidth-0.2.10.tar.gz", hash = "sha256:390c7454101092a6a5e43baad8f83de615463af459201709556b6e4b1c861f97"}, + {file = "wcwidth-0.2.12-py2.py3-none-any.whl", hash = "sha256:f26ec43d96c8cbfed76a5075dac87680124fa84e0855195a6184da9c187f133c"}, + {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"}, ] [[package]] @@ -3741,13 +4082,13 @@ files = [ [[package]] name = "websocket-client" -version = "1.6.4" +version = "1.7.0" description = "WebSocket client for Python with low level API options" optional = false python-versions = ">=3.8" files = [ - {file = "websocket-client-1.6.4.tar.gz", hash = "sha256:b3324019b3c28572086c4a319f91d1dcd44e6e11cd340232978c684a7650d0df"}, - {file = "websocket_client-1.6.4-py3-none-any.whl", hash = "sha256:084072e0a7f5f347ef2ac3d8698a5e0b4ffbfcab607628cadabc650fc9a83a24"}, + {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"}, + {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"}, ] [package.extras] @@ -3769,4 +4110,4 @@ files = [ [metadata] lock-version = "2.0" python-versions = "^3.11,<3.12" -content-hash = "cc3fe4c6067ccdd3c0459e4649a6903c5449008e66d7d80dfe6d6f4b5c3c20c7" +content-hash = "dfcfd378737a24d984309564f2168fae67ad2ab93d4483d9accdcca48cae6517" diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index b53cce05a..26a787b73 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -30,7 +30,7 @@ class TimeSeries(TaggedTable): # Invarainte should be that a time is never a target or feature # target should always be an feature - # date should never be an feature test + # date should never be an feature """ A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. A Time Column should neve be an feature From 33ed21b62f66e86571b50ee621d7b636e25402e7 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 12:53:17 +0100 Subject: [PATCH 24/65] again Linter changes, now mypy should run through --- src/safeds/data/tabular/containers/_table.py | 2 +- .../data/tabular/containers/_time_series.py | 20 ++++++------- ...e.py => test_from_table_to_time_series.py} | 4 +-- .../_time_series/test_keep_only_columns.py | 18 ++++++------ .../_time_series/test_remove_columns.py | 28 +++++++++---------- 5 files changed, 36 insertions(+), 36 deletions(-) rename tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/{test_from_table.py => test_from_table_to_time_series.py} (94%) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index cca8d1aa5..f29e3e6e9 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -1753,7 +1753,7 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str >>> tagged_table = table.time_columns(target_name="amount_bought",time_name = "time", feature_names=["price"]) """ from ._time_series import TimeSeries - return TimeSeries._from_table_to_tagged_table(self, target_name, time_name, feature_names) + return TimeSeries._from_table_to_time_series(self, target_name, time_name, feature_names) def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Table: """ diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 26a787b73..20e728392 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -110,7 +110,7 @@ def _from_tagged_table( @staticmethod #idk if this method should exist, because we cant use it like the Method in TaggedTable, but the Method is static and this seem to doesnt get checked by the megalinter. - def _from_table_to_tagged_table( + def _from_table_to_time_series( table: Table, target_name: str, time_name: str, @@ -142,7 +142,7 @@ def _from_table_to_tagged_table( -------- >>> from safeds.data.tabular.containers import Table, TimeSeries >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) - >>> timeseries = TimeSeries._from_table_to_tagged_table(table, "t", "date", ["f1"]) + >>> timeseries = TimeSeries._from_table_to_time_series(table, "t", "date", ["f1"]) """ if feature_names is None: feature_names = table.column_names @@ -233,22 +233,22 @@ def time(self) -> Column: # Specific methods from time series class: # ------------------------------------------------------------------------------------------------------------------ - def _create_moving_average(self, window_size: int) -> Column: + #def _create_moving_average(self, window_size: int) -> Column: # calculate the windows and the moving average of a timeserties, this function for now only has intern use # some unexpected behavior while casting to series agains, because it addds NAN values #return Column._from_pandas_series(pd.Series(self.target._data.rolling(window_size).mean())) - pass - def plot_moving_average(self, window_size: int) -> Image: + #pass + #def plot_moving_average(self, window_size: int) -> Image: # this method should plot the moving average of a time series - pass + #pass - def show_time_series(self) -> Image: + #def show_time_series(self) -> Image: # this method should plot the time series - pass + #pass - def decompose_time_series(self) -> Image: + #def decompose_time_series(self) -> Image: # this Method should show a plot of a decomposed time series - pass + #pass # ------------------------------------------------------------------------------------------------------------------ # Overriden methods from TaggedTable class: diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py similarity index 94% rename from tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py rename to tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py index 0282517fe..3a3abbc6e 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py @@ -101,7 +101,7 @@ def test_should_raise_error( error_msg: str, ) -> None: with pytest.raises(error, match=error_msg): - TimeSeries._from_table_to_tagged_table(table, target_name=target_name, time_name=time_name, feature_names=feature_names) + TimeSeries._from_table_to_time_series(table, target_name=target_name, time_name=time_name, feature_names=feature_names) @pytest.mark.parametrize( @@ -153,7 +153,7 @@ def test_should_raise_error( ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], ) def test_should_create_a_tagged_table(table: Table, target_name: str, time_name: str, feature_names: list[str] | None) -> None: - time_series = TimeSeries._from_table_to_tagged_table(table, target_name=target_name, time_name=time_name, feature_names=feature_names) + time_series = TimeSeries._from_table_to_time_series(table, target_name=target_name, time_name=time_name, feature_names=feature_names) feature_names = feature_names if feature_names is not None else table.remove_columns([target_name, time_name]).column_names assert isinstance(time_series, TimeSeries) assert time_series._features.column_names == feature_names diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py index 9f6717ecb..3733a7ec8 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py @@ -9,7 +9,7 @@ ("table", "column_names", "expected"), [ ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1 ,2], @@ -22,7 +22,7 @@ "time", ), ["feat1", "target", "time"], - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -35,7 +35,7 @@ ), ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -49,7 +49,7 @@ "time", ), ["feat1", "other", "target", "time"], - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time" : [0, 1, 2], @@ -63,7 +63,7 @@ ), ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -77,7 +77,7 @@ "time", ), ["feat1", "target", "time"], - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -101,7 +101,7 @@ def test_should_return_table(table: TimeSeries, column_names: list[str], expecte ("table", "column_names", "error_msg"), [ ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -119,7 +119,7 @@ def test_should_return_table(table: TimeSeries, column_names: list[str], expecte r"Illegal schema modification: Must keep the target column.", ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -137,7 +137,7 @@ def test_should_return_table(table: TimeSeries, column_names: list[str], expecte r"Illegal schema modification: Must keep at least one feature column.", ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py index fad3e7227..1989c52d6 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py @@ -9,7 +9,7 @@ ("table", "columns", "expected"), [ ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -25,7 +25,7 @@ ["feat_1", "feat_2"], ), ["feat_2"], - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table({"time": [0, 1, 2], "feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "non_feat_2": [3, 6, 9], "target": [7, 8, 9]}), "target", "time", @@ -33,7 +33,7 @@ ), ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -49,7 +49,7 @@ ["feat_1", "feat_2"], ), ["non_feat_2"], - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "feat_2": [4, 5, 6], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), "target", "time", @@ -58,7 +58,7 @@ ), ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -74,7 +74,7 @@ ["feat_1", "feat_2"], ), ["non_feat_1", "non_feat_2"], - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "feat_2": [4, 5, 6], "target": [7, 8, 9]}), "target", "time", @@ -82,7 +82,7 @@ ), ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -98,7 +98,7 @@ ["feat_1", "feat_2"], ), ["feat_2", "non_feat_2"], - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table({"time": [0, 1, 2], "feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), "target", "time", @@ -106,7 +106,7 @@ ), ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table( { "time": [0, 1, 2], @@ -120,7 +120,7 @@ ["feat_1"], ), [], - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), "target", "time", @@ -145,7 +145,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: ("table", "columns", "error", "error_msg"), [ ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table({"time": [0, 1, 2],"feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", @@ -156,7 +156,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: r'Illegal schema modification: Column "target" is the target column and cannot be removed.', ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table({"time": [0, 1, 2],"feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", @@ -167,7 +167,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: r'Illegal schema modification: Column "target" is the target column and cannot be removed.', ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table({"time": [0, 1, 2], "feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", @@ -178,7 +178,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: r"Illegal schema modification: You cannot remove every feature column.", ), ( - TimeSeries._from_table_to_tagged_table( + TimeSeries._from_table_to_time_series( Table({"time": [0, 1, 2], "feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", From f997589d0ba06bf9f78a9784b1ce8ff2b66d46d5 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 14:07:26 +0100 Subject: [PATCH 25/65] added coverage --- .../data/tabular/containers/_time_series.py | 5 +- .../_time_series/test_from_tagged_table.py | 168 ++++++++++++++++++ 2 files changed, 169 insertions(+), 4 deletions(-) create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 20e728392..05e831c8f 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -94,12 +94,9 @@ def _from_tagged_table( if time_name in feature_names: feature_names.remove(time_name) - # no need to validate the tagged table on tagged table specs - if time_name in feature_names: - raise ValueError(f"Column '{time_name}' cannot be both time column and feature.") if time_name == tagged_table.target.name: - raise ValueError(f"Column '{time_name}' cannot be both timecolumn and target.") + raise ValueError(f"Column '{time_name}' cannot be both time column and target.") result._data = table._data result._schema = table.schema diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py new file mode 100644 index 000000000..93fb9ecc1 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -0,0 +1,168 @@ +import pytest +from safeds.data.tabular.containers import Table, TaggedTable, TimeSeries +from safeds.exceptions import UnknownColumnNameError + + +@pytest.mark.parametrize( + ("table", "target_name", "time_name", "feature_names", "error", "error_msg"), + [ + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + ["A", "B", "C", "D", "E"], + UnknownColumnNameError, + r"Could not find column\(s\) 'D, E'", + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "D", + "time", + ["A", "B", "C"], + UnknownColumnNameError, + r"Could not find column\(s\) 'D'", + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "A", + "time", + ["A", "B", "C"], + ValueError, + r"Column 'A' cannot be both feature and target.", + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "A", + "time", + [], + ValueError, + r"At least one feature column must be specified.", + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "time", + "time", + ["A", "B", "C"], + ValueError, + r"Column 'time' cannot be both time column and target.", + ), + ], + ids=[ + "feature_does_not_exist", + "target_does_not_exist", + "target_and_feature_overlap", + "features_are_empty-explicitly", + "time_name_is_target", + ], +) +def test_should_raise_error( + table: Table, + target_name: str, + time_name: str, + feature_names: list[str] | None, + error: type[Exception], + error_msg: str, +) -> None: + with pytest.raises(error, match=error_msg): + tagged_table = TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names) + TimeSeries._from_tagged_table(tagged_table, time_name=time_name) + + +@pytest.mark.parametrize( + ("table", "target_name", "time_name", "feature_names"), + [ + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + ["A", "B", "C"], + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + ["A", "C"], + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + None, + ), + ], + ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], +) +def test_should_create_a_tagged_table(table: Table, target_name: str, time_name: str, feature_names: list[str] | None) -> None: + tagged_table = TaggedTable._from_table(table, target_name = target_name, feature_names = feature_names) + time_series = TimeSeries._from_tagged_table(tagged_table, time_name= time_name) + feature_names = feature_names if feature_names is not None else table.remove_columns([target_name, time_name]).column_names + assert isinstance(time_series, TimeSeries) + assert time_series._features.column_names == feature_names + assert time_series._target.name == target_name + assert time_series._features == table.keep_only_columns(feature_names) + assert time_series._target == table.get_column(target_name) + assert time_series.time == table.get_column(time_name) From b814bcea6708dbbffac1f75ac0336a07151cac5d Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 18:07:43 +0100 Subject: [PATCH 26/65] updated comment --- src/safeds/data/tabular/containers/_time_series.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 05e831c8f..8c7db1ac6 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -32,8 +32,9 @@ class TimeSeries(TaggedTable): # target should always be an feature # date should never be an feature """ + A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. - A Time Column should neve be an feature + A Time Column should neve be an feature. ---------- data : Mapping[str, Sequence[Any]] The data. From 93ce4d6fb6dbbafa37982ca953af95c34fbf1726 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 18:16:17 +0100 Subject: [PATCH 27/65] updated imports --- .../data/tabular/containers/_time_series.py | 45 +++++++------------ 1 file changed, 17 insertions(+), 28 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 8c7db1ac6..dd5f7d40e 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -1,14 +1,6 @@ from __future__ import annotations -import copy -import numpy as np -import pandas as pd -import torch -import torch.nn as nn -from torch.utils.data import DataLoader -from torch.utils.data import Dataset from typing import TYPE_CHECKING -from typing import overload from safeds.data.tabular.containers import Column, Row, Table, TaggedTable @@ -16,18 +8,16 @@ ColumnIsTargetError, ColumnIsTimeError, IllegalSchemaModificationError, - UnknownColumnNameError, ) if TYPE_CHECKING: - from collections.abc import Callable, Mapping, Sequence - from safeds.data.image.containers import Image from typing import Any class TimeSeries(TaggedTable): + # Invarainte should be that a time is never a target or feature # target should always be an feature # date should never be an feature @@ -95,7 +85,6 @@ def _from_tagged_table( if time_name in feature_names: feature_names.remove(time_name) - if time_name == tagged_table.target.name: raise ValueError(f"Column '{time_name}' cannot be both time column and target.") @@ -107,7 +96,7 @@ def _from_tagged_table( return result @staticmethod - #idk if this method should exist, because we cant use it like the Method in TaggedTable, but the Method is static and this seem to doesnt get checked by the megalinter. + # idk if this method should exist, because we cant use it like the Method in TaggedTable, but the Method is static and this seem to doesnt get checked by the megalinter. def _from_table_to_time_series( table: Table, target_name: str, @@ -231,22 +220,22 @@ def time(self) -> Column: # Specific methods from time series class: # ------------------------------------------------------------------------------------------------------------------ - #def _create_moving_average(self, window_size: int) -> Column: - # calculate the windows and the moving average of a timeserties, this function for now only has intern use - # some unexpected behavior while casting to series agains, because it addds NAN values - #return Column._from_pandas_series(pd.Series(self.target._data.rolling(window_size).mean())) - #pass - #def plot_moving_average(self, window_size: int) -> Image: - # this method should plot the moving average of a time series - #pass + # def _create_moving_average(self, window_size: int) -> Column: + # calculate the windows and the moving average of a timeserties, this function for now only has intern use + # some unexpected behavior while casting to series agains, because it addds NAN values + # return Column._from_pandas_series(pd.Series(self.target._data.rolling(window_size).mean())) + # pass + # def plot_moving_average(self, window_size: int) -> Image: + # this method should plot the moving average of a time series + # pass - #def show_time_series(self) -> Image: - # this method should plot the time series - #pass + # def show_time_series(self) -> Image: + # this method should plot the time series + # pass - #def decompose_time_series(self) -> Image: - # this Method should show a plot of a decomposed time series - #pass + # def decompose_time_series(self) -> Image: + # this Method should show a plot of a decomposed time series + # pass # ------------------------------------------------------------------------------------------------------------------ # Overriden methods from TaggedTable class: @@ -851,4 +840,4 @@ def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Time super().transform_column(name, transformer), target_name=self.target.name, feature_names=self.features.column_names, - ),time_name= self.time.name) + ), time_name=self.time.name) From 2aff4b1fe5459199069852890a24cdf2e7fb0907 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 18:56:31 +0100 Subject: [PATCH 28/65] going to update init --- tests/helpers/_assertions.py | 3 ++- .../_tagged_table/_time_series/test_from_tagged_table.py | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/tests/helpers/_assertions.py b/tests/helpers/_assertions.py index c41c61de3..308db5b4f 100644 --- a/tests/helpers/_assertions.py +++ b/tests/helpers/_assertions.py @@ -40,6 +40,7 @@ def assert_that_tagged_tables_are_equal(table1: TaggedTable, table2: TaggedTable assert table1.target == table2.target assert table1 == table2 + def assert_that_time_series_are_equal(table1: TimeSeries, table2: TimeSeries) -> None: """ Assert that two time series are equal. @@ -55,4 +56,4 @@ def assert_that_time_series_are_equal(table1: TimeSeries, table2: TimeSeries) -> assert table1.features == table2.features assert table1.target == table2.target assert table1.time == table2.time - assert table1 == table2 \ No newline at end of file + assert table1 == table2 diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index 93fb9ecc1..3808ed86f 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -103,8 +103,8 @@ def test_should_raise_error( error: type[Exception], error_msg: str, ) -> None: + tagged_table = TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names) with pytest.raises(error, match=error_msg): - tagged_table = TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names) TimeSeries._from_tagged_table(tagged_table, time_name=time_name) From c4100d0ff1e1e87e55541e817d51b82ba679b4e4 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 19:01:09 +0100 Subject: [PATCH 29/65] going to update init --- .../containers/_table/_tagged_table/_time_series/__init__.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/__init__.py diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/__init__.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/__init__.py new file mode 100644 index 000000000..e69de29bb From 7563e6b0d1365830f62c1e096751c6d0a5604a81 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 19:25:12 +0100 Subject: [PATCH 30/65] going to update init --- .../_tagged_table/_time_series/test_from_tagged_table.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index 3808ed86f..a0ab51c1f 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -103,9 +103,8 @@ def test_should_raise_error( error: type[Exception], error_msg: str, ) -> None: - tagged_table = TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names) with pytest.raises(error, match=error_msg): - TimeSeries._from_tagged_table(tagged_table, time_name=time_name) + TimeSeries._from_tagged_table(TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names), time_name=time_name) @pytest.mark.parametrize( From 754ba39a017fc30128a7dd031ee5b0e65bade3d5 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 19:30:14 +0100 Subject: [PATCH 31/65] updated comments --- src/safeds/data/tabular/containers/_time_series.py | 9 ++------- 1 file changed, 2 insertions(+), 7 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index dd5f7d40e..086a7f2ad 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -18,13 +18,8 @@ class TimeSeries(TaggedTable): - # Invarainte should be that a time is never a target or feature - # target should always be an feature - # date should never be an feature - """ - - A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. - A Time Column should neve be an feature. + """A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. + A Time Column should never be an feature. ---------- data : Mapping[str, Sequence[Any]] The data. From ec2a13a8ec365f06e86eedf36b9e9a8dada6f945 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 19:33:14 +0100 Subject: [PATCH 32/65] updated comments --- src/safeds/data/tabular/containers/_time_series.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 086a7f2ad..8e033f1a8 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -19,6 +19,7 @@ class TimeSeries(TaggedTable): """A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. + A Time Column should never be an feature. ---------- data : Mapping[str, Sequence[Any]] @@ -98,7 +99,8 @@ def _from_table_to_time_series( time_name: str, feature_names: list[str] | None = None, ) -> TimeSeries: - """Create a TimeSeries from a table + """Create a TimeSeries from a table. + Parameters ---------- table : Table From e71452a96175d61e945fc1ed04b785a5e971accb Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 19:39:53 +0100 Subject: [PATCH 33/65] updated comments --- src/safeds/data/tabular/containers/_time_series.py | 3 ++- tests/helpers/__init__.py | 2 +- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 8e033f1a8..c1b4297b8 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -49,7 +49,8 @@ def _from_tagged_table( tagged_table: TaggedTable, time_name: str, ) -> TimeSeries: - """Create a time series from a tagged table + """Create a time series from a tagged table. + Parameters ---------- table : TaggedTable diff --git a/tests/helpers/__init__.py b/tests/helpers/__init__.py index 1cc33cdda..fae87fed4 100644 --- a/tests/helpers/__init__.py +++ b/tests/helpers/__init__.py @@ -2,4 +2,4 @@ from ._resources import resolve_resource_path from ._assertions import assert_that_time_series_are_equal -__all__ = ["assert_that_tables_are_close", "assert_that_tagged_tables_are_equal", "resolve_resource_path"] +__all__ = ["assert_that_tables_are_close", "assert_that_tagged_tables_are_equal", "resolve_resource_path", "assert_that_time_series_are_equal"] From 8e29f1ff067a61e2938657ca10f56932e71e9c3e Mon Sep 17 00:00:00 2001 From: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com> Date: Wed, 20 Dec 2023 18:41:34 +0000 Subject: [PATCH 34/65] style: apply automated linter fixes --- src/safeds/data/tabular/containers/_table.py | 4 +- .../data/tabular/containers/_time_series.py | 248 ++++++++++-------- src/safeds/exceptions/_data.py | 24 +- tests/helpers/__init__.py | 14 +- .../test_from_table_to_time_series.py | 16 +- .../_time_series/test_from_tagged_table.py | 16 +- .../_tagged_table/_time_series/test_init.py | 4 +- .../_time_series/test_keep_only_columns.py | 6 +- .../_time_series/test_remove_columns.py | 25 +- ...test_remove_columns_with_missing_values.py | 2 +- ...emove_columns_with_non_numerical_values.py | 6 +- .../test_remove_duplicate_rows.py | 2 +- .../test_remove_rows_with_missing_values.py | 5 +- .../test_remove_rows_with_outliers.py | 2 +- .../_time_series/test_rename_column.py | 10 +- .../_time_series/test_replace_column.py | 3 +- .../_time_series/test_slice_rows.py | 6 +- .../_time_series/test_time_target.py | 8 +- .../_time_series/test_transform_column.py | 43 ++- .../_table/_tagged_table/test_sort_columns.py | 1 + 20 files changed, 267 insertions(+), 178 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index f29e3e6e9..68efad86e 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -37,7 +37,6 @@ from safeds.data.tabular.transformation import InvertibleTableTransformer, TableTransformer from ._tagged_table import TaggedTable - from ._time_series import TimeSeries # Enable copy-on-write for pandas dataframes @@ -1545,7 +1544,7 @@ def slice_rows( def sort_columns( self, comparator: Callable[[Column, Column], int] = lambda col1, col2: (col1.name > col2.name) - - (col1.name < col2.name), + - (col1.name < col2.name), ) -> Table: """ Sort the columns of a `Table` with the given comparator and return a new `Table`. @@ -1753,6 +1752,7 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str >>> tagged_table = table.time_columns(target_name="amount_bought",time_name = "time", feature_names=["price"]) """ from ._time_series import TimeSeries + return TimeSeries._from_table_to_time_series(self, target_name, time_name, feature_names) def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Table: diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index c1b4297b8..2f570fa0e 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -3,7 +3,6 @@ from typing import TYPE_CHECKING from safeds.data.tabular.containers import Column, Row, Table, TaggedTable - from safeds.exceptions import ( ColumnIsTargetError, ColumnIsTimeError, @@ -12,12 +11,10 @@ if TYPE_CHECKING: from collections.abc import Callable, Mapping, Sequence - from typing import Any class TimeSeries(TaggedTable): - """A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. A Time Column should never be an feature. @@ -28,7 +25,9 @@ class TimeSeries(TaggedTable): Name of the target column. feature_names : list[str] | None Names of the feature columns. If None, all columns except the target column are used. - Raises + + Raises + ------ time_name : str Name of the time column. @@ -68,13 +67,13 @@ def _from_tagged_table( If target_name matches none of the column names. Value Error If no feature columns are specified + Examples -------- >>> from safeds.data.tabular.containers import Table, TimeSeries >>> tagged_table = TaggedTable({"date": ["01.01", "01.02", "01.03", "01.04"], "col1": ["a", "b", "c", "a"]}, "col1" ) >>> timeseries = TimeSeries._from_tagged_table(tagged_table, time_name = "date") """ - table = tagged_table._as_table() # make sure that the time_name is not part of the features result = object.__new__(TimeSeries) @@ -123,6 +122,7 @@ def _from_table_to_time_series( If target_name matches none of the column names. Value Error If no feature columns are specified + Examples -------- >>> from safeds.data.tabular.containers import Table, TimeSeries @@ -310,7 +310,8 @@ def add_column_as_feature(self, column: Column) -> TimeSeries: """ return TimeSeries._from_tagged_table( super().add_column_as_feature(column), - time_name=self.time.name, ) + time_name=self.time.name, + ) def add_columns_as_features(self, columns: list[Column] | Table) -> TimeSeries: """ @@ -337,7 +338,8 @@ def add_columns_as_features(self, columns: list[Column] | Table) -> TimeSeries: """ return TimeSeries._from_tagged_table( super().add_columns_as_features(columns), - time_name=self.time.name, ) + time_name=self.time.name, + ) def add_columns(self, columns: list[Column] | Table) -> TimeSeries: """ @@ -388,8 +390,7 @@ def add_row(self, row: Row) -> TimeSeries: UnknownColumnNameError If the row has different column names than the table. """ - return TimeSeries._from_tagged_table(super().add_row(row), - time_name=self.time.name) + return TimeSeries._from_tagged_table(super().add_row(row), time_name=self.time.name) def add_rows(self, rows: list[Row] | Table) -> TimeSeries: """ @@ -412,8 +413,7 @@ def add_rows(self, rows: list[Row] | Table) -> TimeSeries: UnknownColumnNameError If at least one of the rows have different column names than the table. """ - return TimeSeries._from_tagged_table(super().add_rows(rows), - time_name=self.time.name) + return TimeSeries._from_tagged_table(super().add_rows(rows), time_name=self.time.name) def filter_rows(self, query: Callable[[Row], bool]) -> TimeSeries: """ @@ -459,21 +459,23 @@ def keep_only_columns(self, column_names: list[str]) -> TimeSeries: IllegalSchemaModificationError If none of the given columns is the target column or any of the feature columns. """ - if self.target.name not in column_names: raise IllegalSchemaModificationError("Must keep the target column.") if len(set(self.features.column_names).intersection(set(column_names))) == 0: raise IllegalSchemaModificationError("Must keep at least one feature column.") if self.time.name not in column_names: raise IllegalSchemaModificationError("Must keep the time column.") - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().keep_only_columns(column_names), - target_name=self.target.name, - feature_names=sorted( - set(self.features.column_names).intersection(set(column_names)), - key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().keep_only_columns(column_names), + target_name=self.target.name, + feature_names=sorted( + set(self.features.column_names).intersection(set(column_names)), + key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + ), ), - ), time_name=self.time.name) + time_name=self.time.name, + ) def remove_columns(self, column_names: list[str]) -> TimeSeries: """ @@ -506,14 +508,17 @@ def remove_columns(self, column_names: list[str]) -> TimeSeries: raise IllegalSchemaModificationError("You cannot remove every feature column.") if self.time.name in column_names: raise ColumnIsTimeError(self.time.name) - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().remove_columns(column_names), - target_name=self.target.name, - feature_names=sorted( - set(self.features.column_names) - set(column_names), - key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().remove_columns(column_names), + target_name=self.target.name, + feature_names=sorted( + set(self.features.column_names) - set(column_names), + key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + ), ), - ), time_name=self.time.name) + time_name=self.time.name, + ) def remove_columns_with_missing_values(self) -> TimeSeries: """ @@ -540,14 +545,17 @@ def remove_columns_with_missing_values(self) -> TimeSeries: raise IllegalSchemaModificationError("You cannot remove every feature column.") if self.time.name not in table.column_names: raise ColumnIsTimeError(self.time.name) - return TimeSeries._from_tagged_table(TaggedTable._from_table( - table, - self.target.name, - feature_names=sorted( - set(self.features.column_names).intersection(set(table.column_names)), - key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + table, + self.target.name, + feature_names=sorted( + set(self.features.column_names).intersection(set(table.column_names)), + key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + ), ), - ), time_name=self.time.name) + time_name=self.time.name, + ) def remove_columns_with_non_numerical_values(self) -> TimeSeries: """ @@ -574,14 +582,17 @@ def remove_columns_with_non_numerical_values(self) -> TimeSeries: raise IllegalSchemaModificationError("You cannot remove every feature column.") if self.time.name not in table.column_names: raise ColumnIsTimeError(self.time.name) - return TimeSeries._from_tagged_table(TaggedTable._from_table( - table, - self.target.name, - feature_names=sorted( - set(self.features.column_names).intersection(set(table.column_names)), - key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + table, + self.target.name, + feature_names=sorted( + set(self.features.column_names).intersection(set(table.column_names)), + key={val: ix for ix, val in enumerate(self.features.column_names)}.__getitem__, + ), ), - ), time_name=self.time.name) + time_name=self.time.name, + ) def remove_duplicate_rows(self) -> TimeSeries: """ @@ -594,11 +605,14 @@ def remove_duplicate_rows(self) -> TimeSeries: result : TimeSeries The time series with the duplicate rows removed. """ - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().remove_duplicate_rows(), - target_name=self.target.name, - feature_names=self.features.column_names, - ), time_name=self.time.name) + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().remove_duplicate_rows(), + target_name=self.target.name, + feature_names=self.features.column_names, + ), + time_name=self.time.name, + ) def remove_rows_with_missing_values(self) -> TimeSeries: """ @@ -611,11 +625,14 @@ def remove_rows_with_missing_values(self) -> TimeSeries: table : TimeSeries A time series without the rows that contain missing values. """ - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().remove_rows_with_missing_values(), - target_name=self.target.name, - feature_names=self.features.column_names, - ), time_name=self.time.name) + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().remove_rows_with_missing_values(), + target_name=self.target.name, + feature_names=self.features.column_names, + ), + time_name=self.time.name, + ) def remove_rows_with_outliers(self) -> TimeSeries: """ @@ -632,11 +649,14 @@ def remove_rows_with_outliers(self) -> TimeSeries: new_time_series : TimeSeries A new time series without rows containing outliers. """ - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().remove_rows_with_outliers(), - target_name=self.target.name, - feature_names=self.features.column_names, - ), time_name=self.time.name) + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().remove_rows_with_outliers(), + target_name=self.target.name, + feature_names=self.features.column_names, + ), + time_name=self.time.name, + ) def rename_column(self, old_name: str, new_name: str) -> TimeSeries: """ @@ -663,17 +683,21 @@ def rename_column(self, old_name: str, new_name: str) -> TimeSeries: DuplicateColumnNameError If the specified new target column name already exists. """ - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().rename_column(old_name, new_name), - target_name=new_name if self.target.name == old_name else self.target.name, - feature_names=( - self.features.column_names - if old_name not in self.features.column_names - else [ - column_name if column_name != old_name else new_name for column_name in self.features.column_names - ] + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().rename_column(old_name, new_name), + target_name=new_name if self.target.name == old_name else self.target.name, + feature_names=( + self.features.column_names + if old_name not in self.features.column_names + else [ + column_name if column_name != old_name else new_name + for column_name in self.features.column_names + ] + ), ), - ), time_name=new_name if self.time.name == old_name else self.time.name) + time_name=new_name if self.time.name == old_name else self.time.name, + ) def replace_column(self, old_column_name: str, new_columns: list[Column]) -> TimeSeries: """ @@ -714,34 +738,43 @@ def replace_column(self, old_column_name: str, new_columns: list[Column]) -> Tim f'Time column "{self.time.name}" can only be replaced by exactly one new column.', ) else: - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().replace_column(old_column_name, new_columns), - target_name=self.target.name, - feature_names=self.features.column_names, - ), time_name=new_columns[0].name) + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().replace_column(old_column_name, new_columns), + target_name=self.target.name, + feature_names=self.features.column_names, + ), + time_name=new_columns[0].name, + ) if old_column_name == self.target.name: if len(new_columns) != 1: raise IllegalSchemaModificationError( f'Target column "{self.target.name}" can only be replaced by exactly one new column.', ) else: - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().replace_column(old_column_name, new_columns), - target_name=new_columns[0].name, - feature_names=self.features.column_names, - ), time_name=self.time.name) + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().replace_column(old_column_name, new_columns), + target_name=new_columns[0].name, + feature_names=self.features.column_names, + ), + time_name=self.time.name, + ) else: - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().replace_column(old_column_name, new_columns), - target_name=self.target.name, - feature_names=( - self.features.column_names - if old_column_name not in self.features.column_names - else self.features.column_names[: self.features.column_names.index(old_column_name)] - + [col.name for col in new_columns] - + self.features.column_names[self.features.column_names.index(old_column_name) + 1:] + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().replace_column(old_column_name, new_columns), + target_name=self.target.name, + feature_names=( + self.features.column_names + if old_column_name not in self.features.column_names + else self.features.column_names[: self.features.column_names.index(old_column_name)] + + [col.name for col in new_columns] + + self.features.column_names[self.features.column_names.index(old_column_name) + 1 :] + ), ), - ), time_name=self.time.name) + time_name=self.time.name, + ) def slice_rows( self, @@ -773,16 +806,19 @@ def slice_rows( IndexOutOfBoundsError If the index is out of bounds. """ - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().slice_rows(start, end, step), - target_name=self.target.name, - feature_names=self.features.column_names, - ), time_name=self.time.name) + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().slice_rows(start, end, step), + target_name=self.target.name, + feature_names=self.features.column_names, + ), + time_name=self.time.name, + ) def sort_columns( self, comparator: Callable[[Column, Column], int] = lambda col1, col2: (col1.name > col2.name) - - (col1.name < col2.name), + - (col1.name < col2.name), ) -> TimeSeries: """ Sort the columns of a `TimeSeries` with the given comparator and return a new `TimeSeries`. @@ -809,14 +845,17 @@ def sort_columns( A new time series with sorted columns. """ sorted_table = super().sort_columns(comparator) - return TimeSeries._from_tagged_table(TaggedTable._from_table( - sorted_table, - target_name=self.target.name, - feature_names=sorted( - set(sorted_table.column_names).intersection(self.features.column_names), - key={val: ix for ix, val in enumerate(sorted_table.column_names)}.__getitem__, + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + sorted_table, + target_name=self.target.name, + feature_names=sorted( + set(sorted_table.column_names).intersection(self.features.column_names), + key={val: ix for ix, val in enumerate(sorted_table.column_names)}.__getitem__, + ), ), - ), time_name=self.time.name) + time_name=self.time.name, + ) def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> TimeSeries: """ @@ -834,8 +873,11 @@ def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Time UnknownColumnNameError If the column does not exist. """ - return TimeSeries._from_tagged_table(TaggedTable._from_table( - super().transform_column(name, transformer), - target_name=self.target.name, - feature_names=self.features.column_names, - ), time_name=self.time.name) + return TimeSeries._from_tagged_table( + TaggedTable._from_table( + super().transform_column(name, transformer), + target_name=self.target.name, + feature_names=self.features.column_names, + ), + time_name=self.time.name, + ) diff --git a/src/safeds/exceptions/_data.py b/src/safeds/exceptions/_data.py index 9a927ed5f..5c8e63cc2 100644 --- a/src/safeds/exceptions/_data.py +++ b/src/safeds/exceptions/_data.py @@ -37,10 +37,8 @@ class NonNumericColumnError(Exception): def __init__(self, column_info: str, help_msg: str | None = None) -> None: line_break = "\n" super().__init__( - ( - "Tried to do a numerical operation on one or multiple non-numerical columns:" - f" \n{column_info}{line_break + help_msg if help_msg is not None else ''}" - ), + "Tried to do a numerical operation on one or multiple non-numerical columns:" + f" \n{column_info}{line_break + help_msg if help_msg is not None else ''}", ) @@ -50,10 +48,8 @@ class MissingValuesColumnError(Exception): def __init__(self, column_info: str, help_msg: str | None = None) -> None: line_break = "\n" super().__init__( - ( - "Tried to do an operation on one or multiple columns containing missing values:" - f" \n{column_info}{line_break + help_msg if help_msg is not None else ''}" - ), + "Tried to do an operation on one or multiple columns containing missing values:" + f" \n{column_info}{line_break + help_msg if help_msg is not None else ''}", ) @@ -125,10 +121,8 @@ def __init__(self, values: list[tuple[str, str]]) -> None: values_info = [f"{value} in column {column}" for value, column in values] line_break = "\n" super().__init__( - ( - "Value(s) not present in the table the transformer was fitted on:" - f" {line_break}{line_break.join(values_info)}" - ), + "Value(s) not present in the table the transformer was fitted on:" + f" {line_break}{line_break.join(values_info)}", ) @@ -137,10 +131,8 @@ class WrongFileExtensionError(Exception): def __init__(self, file: str | Path, file_extension: str | list[str]) -> None: super().__init__( - ( - f"The file {file} has a wrong file extension. Please provide a file with the following extension(s):" - f" {file_extension}" - ), + f"The file {file} has a wrong file extension. Please provide a file with the following extension(s):" + f" {file_extension}", ) diff --git a/tests/helpers/__init__.py b/tests/helpers/__init__.py index fae87fed4..ea2a531e6 100644 --- a/tests/helpers/__init__.py +++ b/tests/helpers/__init__.py @@ -1,5 +1,13 @@ -from ._assertions import assert_that_tables_are_close, assert_that_tagged_tables_are_equal +from ._assertions import ( + assert_that_tables_are_close, + assert_that_tagged_tables_are_equal, + assert_that_time_series_are_equal, +) from ._resources import resolve_resource_path -from ._assertions import assert_that_time_series_are_equal -__all__ = ["assert_that_tables_are_close", "assert_that_tagged_tables_are_equal", "resolve_resource_path", "assert_that_time_series_are_equal"] +__all__ = [ + "assert_that_tables_are_close", + "assert_that_tagged_tables_are_equal", + "resolve_resource_path", + "assert_that_time_series_are_equal", +] diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py index 3a3abbc6e..e89047c4f 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py @@ -101,7 +101,9 @@ def test_should_raise_error( error_msg: str, ) -> None: with pytest.raises(error, match=error_msg): - TimeSeries._from_table_to_time_series(table, target_name=target_name, time_name=time_name, feature_names=feature_names) + TimeSeries._from_table_to_time_series( + table, target_name=target_name, time_name=time_name, feature_names=feature_names, + ) @pytest.mark.parametrize( @@ -152,9 +154,15 @@ def test_should_raise_error( ], ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], ) -def test_should_create_a_tagged_table(table: Table, target_name: str, time_name: str, feature_names: list[str] | None) -> None: - time_series = TimeSeries._from_table_to_time_series(table, target_name=target_name, time_name=time_name, feature_names=feature_names) - feature_names = feature_names if feature_names is not None else table.remove_columns([target_name, time_name]).column_names +def test_should_create_a_tagged_table( + table: Table, target_name: str, time_name: str, feature_names: list[str] | None, +) -> None: + time_series = TimeSeries._from_table_to_time_series( + table, target_name=target_name, time_name=time_name, feature_names=feature_names, + ) + feature_names = ( + feature_names if feature_names is not None else table.remove_columns([target_name, time_name]).column_names + ) assert isinstance(time_series, TimeSeries) assert time_series._features.column_names == feature_names assert time_series._target.name == target_name diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index a0ab51c1f..e858ba347 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -104,7 +104,9 @@ def test_should_raise_error( error_msg: str, ) -> None: with pytest.raises(error, match=error_msg): - TimeSeries._from_tagged_table(TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names), time_name=time_name) + TimeSeries._from_tagged_table( + TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names), time_name=time_name, + ) @pytest.mark.parametrize( @@ -155,10 +157,14 @@ def test_should_raise_error( ], ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], ) -def test_should_create_a_tagged_table(table: Table, target_name: str, time_name: str, feature_names: list[str] | None) -> None: - tagged_table = TaggedTable._from_table(table, target_name = target_name, feature_names = feature_names) - time_series = TimeSeries._from_tagged_table(tagged_table, time_name= time_name) - feature_names = feature_names if feature_names is not None else table.remove_columns([target_name, time_name]).column_names +def test_should_create_a_tagged_table( + table: Table, target_name: str, time_name: str, feature_names: list[str] | None, +) -> None: + tagged_table = TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names) + time_series = TimeSeries._from_tagged_table(tagged_table, time_name=time_name) + feature_names = ( + feature_names if feature_names is not None else table.remove_columns([target_name, time_name]).column_names + ) assert isinstance(time_series, TimeSeries) assert time_series._features.column_names == feature_names assert time_series._target.name == target_name diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py index 23e6a57b0..77053448a 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py @@ -4,7 +4,7 @@ @pytest.mark.parametrize( - ("data","time_name", "target_name", "feature_names", "error", "error_msg"), + ("data", "time_name", "target_name", "feature_names", "error", "error_msg"), [ ( { @@ -95,7 +95,7 @@ def test_should_raise_error( @pytest.mark.parametrize( - ("data","time_name", "target_name", "feature_names"), + ("data", "time_name", "target_name", "feature_names"), [ ( { diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py index 3733a7ec8..190c387d1 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_keep_only_columns.py @@ -12,7 +12,7 @@ TimeSeries._from_table_to_time_series( Table( { - "time": [0, 1 ,2], + "time": [0, 1, 2], "feat1": [1, 2, 3], "feat2": [4, 5, 6], "target": [7, 8, 9], @@ -52,7 +52,7 @@ TimeSeries._from_table_to_time_series( Table( { - "time" : [0, 1, 2], + "time": [0, 1, 2], "feat1": [1, 2, 3], "other": [3, 4, 5], "target": [7, 8, 9], @@ -136,7 +136,7 @@ def test_should_return_table(table: TimeSeries, column_names: list[str], expecte ["target", "other"], r"Illegal schema modification: Must keep at least one feature column.", ), -( + ( TimeSeries._from_table_to_time_series( Table( { diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py index 1989c52d6..df68ab38f 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py @@ -26,7 +26,13 @@ ), ["feat_2"], TimeSeries._from_table_to_time_series( - Table({"time": [0, 1, 2], "feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "non_feat_2": [3, 6, 9], "target": [7, 8, 9]}), + Table({ + "time": [0, 1, 2], + "feat_1": [1, 2, 3], + "non_feat_1": [2, 4, 6], + "non_feat_2": [3, 6, 9], + "target": [7, 8, 9], + }), "target", "time", ["feat_1"], @@ -50,11 +56,16 @@ ), ["non_feat_2"], TimeSeries._from_table_to_time_series( - Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "feat_2": [4, 5, 6], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), + Table({ + "time": [0, 1, 2], + "feat_1": [1, 2, 3], + "feat_2": [4, 5, 6], + "non_feat_1": [2, 4, 6], + "target": [7, 8, 9], + }), "target", "time", ["feat_1", "feat_2"], - ), ), ( @@ -75,7 +86,7 @@ ), ["non_feat_1", "non_feat_2"], TimeSeries._from_table_to_time_series( - Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "feat_2": [4, 5, 6], "target": [7, 8, 9]}), + Table({"time": [0, 1, 2], "feat_1": [1, 2, 3], "feat_2": [4, 5, 6], "target": [7, 8, 9]}), "target", "time", ["feat_1", "feat_2"], @@ -121,7 +132,7 @@ ), [], TimeSeries._from_table_to_time_series( - Table({"time": [0, 1, 2],"feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), + Table({"time": [0, 1, 2], "feat_1": [1, 2, 3], "non_feat_1": [2, 4, 6], "target": [7, 8, 9]}), "target", "time", ["feat_1"], @@ -146,7 +157,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: [ ( TimeSeries._from_table_to_time_series( - Table({"time": [0, 1, 2],"feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), + Table({"time": [0, 1, 2], "feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", ["feat"], @@ -157,7 +168,7 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: ), ( TimeSeries._from_table_to_time_series( - Table({"time": [0, 1, 2],"feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), + Table({"time": [0, 1, 2], "feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), "target", "time", ["feat"], diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py index 3a2faa089..8e96ef290 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import TimeSeries -from safeds.exceptions import ColumnIsTargetError, IllegalSchemaModificationError, ColumnIsTimeError +from safeds.exceptions import ColumnIsTargetError, ColumnIsTimeError, IllegalSchemaModificationError from tests.helpers import assert_that_time_series_are_equal diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_non_numerical_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_non_numerical_values.py index 5e3fc0659..d735edb51 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_non_numerical_values.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_non_numerical_values.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import TimeSeries -from safeds.exceptions import ColumnIsTargetError, IllegalSchemaModificationError, ColumnIsTimeError +from safeds.exceptions import ColumnIsTargetError, ColumnIsTimeError, IllegalSchemaModificationError from tests.helpers import assert_that_time_series_are_equal @@ -11,7 +11,7 @@ ( TimeSeries( { - "time":[0,1,2], + "time": [0, 1, 2], "feature_numerical": [0, 1, 2], "feature_non_numerical": ["a", "b", "c"], "non_feature_numerical": [7, 8, 9], @@ -138,7 +138,7 @@ def test_should_remove_columns_with_non_numerical_values(table: TimeSeries, expe ColumnIsTargetError, r'Illegal schema modification: Column "target" is the target column and cannot be removed.', ), -( + ( TimeSeries( { "time": ["!", "x", "2"], diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_duplicate_rows.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_duplicate_rows.py index f1eef5df0..a4e0a3426 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_duplicate_rows.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_duplicate_rows.py @@ -10,7 +10,7 @@ ( TimeSeries( { - "time":[0, 0, 1], + "time": [0, 0, 1], "feature": [0, 0, 1], "target": [2, 2, 3], }, diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py index ad90d54a1..078151ac9 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py @@ -10,7 +10,7 @@ ( TimeSeries( { - "time":[0, 1, 2], + "time": [0, 1, 2], "feature": [0.0, None, 2.0], "target": [3.0, 4.0, 5.0], }, @@ -19,14 +19,13 @@ ), TimeSeries( { - "time":[0, 2], + "time": [0, 2], "feature": [0.0, 2.0], "target": [3.0, 5.0], }, "target", "time", ), - ), ( TimeSeries( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_outliers.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_outliers.py index 9f2d88065..8d206c65c 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_outliers.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_outliers.py @@ -15,7 +15,7 @@ "target": [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0], }, "target", - "time", + "time", ), TimeSeries( { diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_rename_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_rename_column.py index 22bb22284..a0214b4ab 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_rename_column.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_rename_column.py @@ -10,13 +10,13 @@ ( TimeSeries( { - "time" : [0, 1, 2], + "time": [0, 1, 2], "feature_old": [0, 1, 2], "no_feature": [2, 3, 4], "target": [3, 4, 5], }, target_name="target", - time_name= "time", + time_name="time", feature_names=["feature_old"], ), "feature_old", @@ -55,7 +55,7 @@ "target_new": [3, 4, 5], }, target_name="target_new", - time_name = "time", + time_name="time", feature_names=["feature"], ), ), @@ -68,7 +68,7 @@ "target": [3, 4, 5], }, target_name="target", - time_name= "time", + time_name="time", feature_names=["feature"], ), "no_feature_old", @@ -94,7 +94,7 @@ "target": [3, 4, 5], }, target_name="target", - time_name= "time", + time_name="time", feature_names=["feature"], ), "time", diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_replace_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_replace_column.py index 1f230b767..818f6580a 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_replace_column.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_replace_column.py @@ -187,7 +187,7 @@ def test_should_replace_column( @pytest.mark.parametrize( - ("original_table", "new_columns", "column_name_to_be_replaced","error"), + ("original_table", "new_columns", "column_name_to_be_replaced", "error"), [ ( TimeSeries( @@ -231,7 +231,6 @@ def test_should_replace_column( "time", 'Time column "time" can only be replaced by exactly one new column.', ), - ], ids=["zero_columns", "multiple_columns", "time_column"], ) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_slice_rows.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_slice_rows.py index 4f1e7f268..1625ba17c 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_slice_rows.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_slice_rows.py @@ -11,19 +11,19 @@ [ ( TimeSeries( - data={"time":[0, 1, 2], "feature": [1, 2, 1], "non_feature": [0, 2, 4], "target": [1, 2, 4]}, + data={"time": [0, 1, 2], "feature": [1, 2, 1], "non_feature": [0, 2, 4], "target": [1, 2, 4]}, target_name="target", time_name="time", feature_names=["non_feature"], ), TimeSeries( - data={"time":[0, 1],"feature": [1, 2], "non_feature": [0, 2], "target": [1, 2]}, + data={"time": [0, 1], "feature": [1, 2], "non_feature": [0, 2], "target": [1, 2]}, target_name="target", time_name="time", feature_names=["non_feature"], ), TimeSeries( - {"time":[0, 2], "feature": [1, 1], "non_feature": [0, 4], "target": [1, 4]}, + {"time": [0, 2], "feature": [1, 1], "non_feature": [0, 4], "target": [1, 4]}, target_name="target", time_name="time", feature_names=["non_feature"], diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py index 52d12ed43..31dc2b899 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_time_target.py @@ -1,6 +1,8 @@ import pytest from safeds.data.tabular.containers import Column, TimeSeries -#test + +# test + @pytest.mark.parametrize( ("time_series", "target_column", "time_column"), @@ -15,7 +17,7 @@ "T": [0, 1], }, target_name="T", - time_name="time" + time_name="time", ), Column("T", [0, 1]), Column("time", [0, 1]), @@ -23,6 +25,6 @@ ], ids=["target"], ) -def test_should_return_target(time_series: TimeSeries, target_column: Column, time_column : Column) -> None: +def test_should_return_target(time_series: TimeSeries, target_column: Column, time_column: Column) -> None: assert time_series.target == target_column assert time_series.time == time_column diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_transform_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_transform_column.py index 78183b0cd..176533570 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_transform_column.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_transform_column.py @@ -4,32 +4,49 @@ from tests.helpers import assert_that_time_series_are_equal + # here is the time column transformable @pytest.mark.parametrize( ("table", "column_name", "table_transformed"), [ ( - TimeSeries({"time":[0, 1, 2],"feature_a": [1, 2, 3], "feature_b": [4, 5, 6], "target": [1, 2, 3]}, "target", "time"), + TimeSeries( + {"time": [0, 1, 2], "feature_a": [1, 2, 3], "feature_b": [4, 5, 6], "target": [1, 2, 3]}, + "target", + "time", + ), "feature_a", - TimeSeries({"time":[0, 1, 2], "feature_a": [2, 4, 6], "feature_b": [4, 5, 6], "target": [1, 2, 3]}, "target", "time"), + TimeSeries( + {"time": [0, 1, 2], "feature_a": [2, 4, 6], "feature_b": [4, 5, 6], "target": [1, 2, 3]}, + "target", + "time", + ), ), ( - TimeSeries({"time":[0, 1, 2], "feature_a": [1, 2, 3], "feature_b": [4, 5, 6], "target": [1, 2, 3]}, "target", "time"), + TimeSeries( + {"time": [0, 1, 2], "feature_a": [1, 2, 3], "feature_b": [4, 5, 6], "target": [1, 2, 3]}, + "target", + "time", + ), "target", - TimeSeries({"time":[0, 1, 2], "feature_a": [1, 2, 3], "feature_b": [4, 5, 6], "target": [2, 4, 6]}, "target", "time"), + TimeSeries( + {"time": [0, 1, 2], "feature_a": [1, 2, 3], "feature_b": [4, 5, 6], "target": [2, 4, 6]}, + "target", + "time", + ), ), ( TimeSeries( - {"time":[0, 1, 2], "feature_a": [1, 2, 3], "b": [4, 5, 6], "target": [1, 2, 3]}, + {"time": [0, 1, 2], "feature_a": [1, 2, 3], "b": [4, 5, 6], "target": [1, 2, 3]}, target_name="target", - time_name= "time", + time_name="time", feature_names=["feature_a"], ), "b", TimeSeries( - {"time":[0, 1, 2], "feature_a": [1, 2, 3], "b": [8, 10, 12], "target": [1, 2, 3]}, + {"time": [0, 1, 2], "feature_a": [1, 2, 3], "b": [8, 10, 12], "target": [1, 2, 3]}, target_name="target", - time_name= "time", + time_name="time", feature_names=["feature_a"], ), ), @@ -49,7 +66,12 @@ ), ), ], - ids=["transform_feature_column", "transform_target_column", "transform_column_that_is_neither", "transform_time_col"], + ids=[ + "transform_feature_column", + "transform_target_column", + "transform_column_that_is_neither", + "transform_time_col", + ], ) def test_should_transform_column(table: TimeSeries, column_name: str, table_transformed: TimeSeries) -> None: result = table.transform_column(column_name, lambda row: row.get_value(column_name) * 2) @@ -62,7 +84,7 @@ def test_should_transform_column(table: TimeSeries, column_name: str, table_tran ( TimeSeries( { - "time":[0, 1, 2], + "time": [0, 1, 2], "A": [1, 2, 3], "B": [4, 5, 6], "C": ["a", "b", "c"], @@ -92,4 +114,3 @@ def test_should_transform_column(table: TimeSeries, column_name: str, table_tran def test_should_raise_if_column_not_found(table: TimeSeries, column_name: str) -> None: with pytest.raises(UnknownColumnNameError, match=rf"Could not find column\(s\) '{column_name}'"): table.transform_column(column_name, lambda row: row.get_value("A") * 2) - diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_sort_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_sort_columns.py index bf6e58eb2..7a6e2309a 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/test_sort_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/test_sort_columns.py @@ -3,6 +3,7 @@ import pytest from safeds.data.tabular.containers import Column, TaggedTable + # this tests seems written very specific //Gerhardsa0 @pytest.mark.parametrize( ("query", "col1", "col2", "col3", "col4"), From 7f31dbe28d4ea9c45e5adc087be867857e86cd03 Mon Sep 17 00:00:00 2001 From: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com> Date: Wed, 20 Dec 2023 18:43:02 +0000 Subject: [PATCH 35/65] style: apply automated linter fixes --- .../test_from_table_to_time_series.py | 15 ++++++++++++--- .../_time_series/test_from_tagged_table.py | 8 ++++++-- 2 files changed, 18 insertions(+), 5 deletions(-) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py index e89047c4f..5fa8134cf 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py @@ -102,7 +102,10 @@ def test_should_raise_error( ) -> None: with pytest.raises(error, match=error_msg): TimeSeries._from_table_to_time_series( - table, target_name=target_name, time_name=time_name, feature_names=feature_names, + table, + target_name=target_name, + time_name=time_name, + feature_names=feature_names, ) @@ -155,10 +158,16 @@ def test_should_raise_error( ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], ) def test_should_create_a_tagged_table( - table: Table, target_name: str, time_name: str, feature_names: list[str] | None, + table: Table, + target_name: str, + time_name: str, + feature_names: list[str] | None, ) -> None: time_series = TimeSeries._from_table_to_time_series( - table, target_name=target_name, time_name=time_name, feature_names=feature_names, + table, + target_name=target_name, + time_name=time_name, + feature_names=feature_names, ) feature_names = ( feature_names if feature_names is not None else table.remove_columns([target_name, time_name]).column_names diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index e858ba347..864a41fa4 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -105,7 +105,8 @@ def test_should_raise_error( ) -> None: with pytest.raises(error, match=error_msg): TimeSeries._from_tagged_table( - TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names), time_name=time_name, + TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names), + time_name=time_name, ) @@ -158,7 +159,10 @@ def test_should_raise_error( ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], ) def test_should_create_a_tagged_table( - table: Table, target_name: str, time_name: str, feature_names: list[str] | None, + table: Table, + target_name: str, + time_name: str, + feature_names: list[str] | None, ) -> None: tagged_table = TaggedTable._from_table(table, target_name=target_name, feature_names=feature_names) time_series = TimeSeries._from_tagged_table(tagged_table, time_name=time_name) From 1db4c450de45b257498b9104c0aa8af7c131a191 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 20:20:35 +0100 Subject: [PATCH 36/65] updated tests --- .../data/tabular/containers/_time_series.py | 3 --- .../_tagged_table/_time_series/test_init.py | 15 +++++++++++++++ 2 files changed, 15 insertions(+), 3 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index c1b4297b8..d70f5dfbd 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -189,9 +189,6 @@ def __init__( super().__init__(data, target_name, feature_names) - if time_name in feature_names: - raise ValueError(f"Date column '{time_name}' can not be an feature column.") - # Validate inputs if time_name not in (_data.column_names): raise ValueError(f"Column '{time_name}' must exist in the table.") diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py index 23e6a57b0..e5d8110c7 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py @@ -73,6 +73,20 @@ ValueError, r"At least one feature column must be specified.", ), + ( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + "random", + "B", + ["A"], + ValueError, + r"Column 'random' must exist in the table.", + ), ], ids=[ "feature_does_not_exist", @@ -80,6 +94,7 @@ "target_and_feature_overlap", "features_are_empty-explicitly", "features_are_empty_implicitly", + "time_column_does_not_exist", ], ) def test_should_raise_error( From 88f0ac7f4b659a413f947ff2e3e001f9fb0cf911 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 21:02:37 +0100 Subject: [PATCH 37/65] updated tests --- src/safeds/data/tabular/containers/_time_series.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 0397dfec2..7c61eb16c 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -277,8 +277,9 @@ def add_column(self, column: Column) -> TimeSeries: ColumnSizeError If the size of the column does not match the number of rows. """ + new_tagged_table = super().add_column() return TimeSeries._from_tagged_table( - super().add_column(column), + new_tagged_table, time_name=self.time.name, ) From d4023d0760d8b3c0771215097298d3a2c14fc6d2 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 21:07:36 +0100 Subject: [PATCH 38/65] the push befor shouldnt work normally --- src/safeds/data/tabular/containers/_time_series.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 7c61eb16c..dd00a28ad 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -277,7 +277,7 @@ def add_column(self, column: Column) -> TimeSeries: ColumnSizeError If the size of the column does not match the number of rows. """ - new_tagged_table = super().add_column() + new_tagged_table = super().add_column(column) return TimeSeries._from_tagged_table( new_tagged_table, time_name=self.time.name, From c61fd57b9a6c64489697fcb604d936632ff82bf1 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 21:15:35 +0100 Subject: [PATCH 39/65] why are they not on main? --- src/__init__.py | 0 .../_time_series/test_add_column.py | 38 ++++++ .../test_add_column_as_feature.py | 86 +++++++++++++ .../_time_series/test_add_columns.py | 43 +++++++ .../test_add_columns_as_features.py | 99 ++++++++++++++ .../_time_series/test_add_row.py | 85 ++++++++++++ .../_time_series/test_add_rows.py | 70 ++++++++++ .../_time_series/test_as_table.py | 58 +++++++++ .../_time_series/test_features.py | 49 +++++++ .../_time_series/test_filter_rows.py | 121 ++++++++++++++++++ 10 files changed, 649 insertions(+) create mode 100644 src/__init__.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_row.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_rows.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_as_table.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_features.py create mode 100644 tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_filter_rows.py diff --git a/src/__init__.py b/src/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column.py new file mode 100644 index 000000000..ec5253050 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column.py @@ -0,0 +1,38 @@ +import pytest +from safeds.data.tabular.containers import Column, TimeSeries + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("time_series", "column", "expected_time_series"), + [ + ( + TimeSeries( + { + "time" : [0,1,2], + "feature_1": [0, 1, 2], + "target": [3, 4, 5], + }, + target_name = "target", + time_name = "time", + feature_names = None, + ), + Column("other", [6, 7, 8]), + TimeSeries( + { + "time" : [0,1,2], + "feature_1": [0, 1, 2], + "target": [3, 4, 5], + "other": [6, 7, 8], + }, + target_name = "target", + time_name = "time", + feature_names = ["feature_1"], + ), + ), + ], + ids=["add_column_as_non_feature"], +) +def test_should_add_column(time_series: TimeSeries, column: Column, expected_time_series: TimeSeries) -> None: + assert_that_time_series_are_equal(time_series.add_column(column), expected_time_series) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py new file mode 100644 index 000000000..add0d4c3e --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py @@ -0,0 +1,86 @@ +import pytest +from safeds.data.tabular.containers import Column, Table, TaggedTable, TimeSeries +from safeds.exceptions import ColumnSizeError, DuplicateColumnNameError + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("time_series", "column", "time_series_with_new_column"), + [ + ( + Table({"t": [1, 2],"f1": [1, 2], "target": [2, 3]}).time_columns(target_name="target", + time_name= "t", + feature_names=["f1"]), + Column("f2", [4, 5]), + Table({"t": [1, 2],"f1": [1, 2], "target": [2, 3], "f2": [4, 5]}).time_columns( + target_name="target", + time_name = "t", + feature_names=["f1","f2"], + ), + ), + ( + Table({"f1": [1, 2], "target": [2, 3], "other": [0, -1]}).time_columns( + target_name="target", + time_name= "other", + feature_names=["f1"], + ), + Column("f2", [4, 5]), + Table({"f1": [1, 2], "target": [2, 3], "other": [0, -1], "f2": [4, 5]}).time_columns( + target_name="target", + time_name = "other", + feature_names=["f1","f2"], + ), + ), + ], + ids=["new column as feature", "table contains a non feature/target column"], +) +def test_should_add_column_as_feature( + time_series: TimeSeries, + column: Column, + time_series_with_new_column: TimeSeries, +) -> None: + test = time_series.add_column_as_feature(column) + print(type(test)) + assert_that_time_series_are_equal(time_series.add_column_as_feature(column),time_series_with_new_column, +) +@pytest.mark.parametrize( + ("tagged_table", "column", "error_msg"), + [ + ( + TaggedTable({"A": [1, 2, 3], "B": [4, 5, 6]}, target_name="B", feature_names=["A"]), + Column("A", [7, 8, 9]), + r"Column 'A' already exists.", + ), + ], + ids=["column_already_exists"], +) +def test_should_raise_duplicate_column_name_if_column_already_exists( + tagged_table: TaggedTable, + column: Column, + error_msg: str, +) -> None: + with pytest.raises(DuplicateColumnNameError, match=error_msg): + tagged_table.add_column_as_feature(column) + +# here starts the second test for errors +@pytest.mark.parametrize( + ("time_series", "column", "error_msg"), + [ + ( + TimeSeries({"time":[0,1,2],"A": [1, 2, 3], "B": [4, 5, 6]}, target_name="B",time_name= "time", feature_names=["A"]), + Column("C", [5, 7, 8, 9]), + r"Expected a column of size 3 but got column of size 4.", + ), + ], + ids=["column_is_oversize"], +) +def test_should_raise_column_size_error_if_column_is_oversize( + time_series: TimeSeries, + column: Column, + error_msg: str, +) -> None: + with pytest.raises(ColumnSizeError, match=error_msg): + time_series.add_column_as_feature(column) + + diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns.py new file mode 100644 index 000000000..1a4bfc083 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns.py @@ -0,0 +1,43 @@ +import pytest +from safeds.data.tabular.containers import Column, TimeSeries + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("time_series", "columns", "expected_time_series"), + [ + ( + TimeSeries( + { + "time" : [0,1,2], + "feature_1": [0, 1, 2], + "target": [3, 4, 5], + }, + "target", + "time", + None, + ), + [Column("other", [6, 7, 8]), Column("other2", [9, 6, 3])], + TimeSeries( + { + "time" : [0,1,2], + "feature_1": [0, 1, 2], + "target": [3, 4, 5], + "other": [6, 7, 8], + "other2": [9, 6, 3], + }, + "target", + "time", + ["feature_1"], + ), + ), + ], + ids=["add_columns_as_non_feature"], +) +def test_should_add_columns( + time_series: TimeSeries, + columns: list[Column], + expected_time_series: TimeSeries, +) -> None: + assert_that_time_series_are_equal(time_series.add_columns(columns), expected_time_series) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py new file mode 100644 index 000000000..67e43c8a4 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py @@ -0,0 +1,99 @@ +import pytest +from safeds.data.tabular.containers import Column, Table, TimeSeries +from safeds.exceptions import ColumnSizeError, DuplicateColumnNameError + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("time_series", "columns", "time_series_with_new_columns"), + [ + ( + Table({"time":[0,1],"f1": [1, 2], "target": [2, 3]}).time_columns( + target_name="target", + time_name = "time", + feature_names=["f1"]), + [Column("f2", [4, 5]), Column("f3", [6, 7])], + Table({"time":[0,1],"f1": [1, 2], "target": [2, 3], "f2": [4, 5], "f3": [6, 7]}).time_columns( + target_name="target", + time_name = "time", + feature_names=["f1", "f2", "f3"], + ), + ), + ( + Table({"time":[0,1],"f1": [1, 2], "target": [2, 3]}).time_columns( + target_name="target", + time_name = "time", + feature_names=["f1"]), + Table.from_columns([Column("f2", [4, 5]), Column("f3", [6, 7])]), + Table({"time":[0,1],"f1": [1, 2], "target": [2, 3], "f2": [4, 5], "f3": [6, 7]}).time_columns( + target_name="target", + time_name = "time", + feature_names=["f1", "f2", "f3"], + ), + ), + ( + Table({"time":[0,1],"f1": [1, 2], "target": [2, 3], "other": [0, -1]}).time_columns( + target_name="target", + time_name = "time", + feature_names=["f1"], + ), + Table.from_columns([Column("f2", [4, 5]), Column("f3", [6, 7])]), + Table({"time":[0,1],"f1": [1, 2], "target": [2, 3], "other": [0, -1], "f2": [4, 5], "f3": [6, 7]}).time_columns( + target_name="target", + time_name = "time", + feature_names=["f1", "f2", "f3"], + ), + ), + ], + ids=["new columns as feature", "table added as features", "table contains a non feature/target column"], +) +def test_add_columns_as_features( + time_series: TimeSeries, + columns: list[Column] | Table, + time_series_with_new_columns: TimeSeries, +) -> None: + print(time_series.add_columns_as_features(columns).features.column_names) + print(time_series_with_new_columns.features.column_names) + assert_that_time_series_are_equal(time_series.add_columns_as_features(columns), time_series_with_new_columns) +@pytest.mark.parametrize( + ("time_series", "columns", "error_msg"), + [ + ( + TimeSeries({"time": [0,1,2],"A": [1, 2, 3], "B": [4, 5, 6]}, target_name="B",time_name = "time", feature_names=["A"]), + [Column("A", [7, 8, 9]), Column("D", [10, 11, 12])], + r"Column 'A' already exists.", + ), + ], + ids=["column_already_exist"],) + +def test_add_columns_raise_duplicate_column_name_if_column_already_exist( + time_series: TimeSeries, + columns: list[Column] | Table, + error_msg: str, +) -> None: + with pytest.raises(DuplicateColumnNameError, match=error_msg): + time_series.add_columns_as_features(columns) + + +@pytest.mark.parametrize( + ("time_series", "columns", "error_msg"), + [ + ( + TimeSeries({"time": [0,1,2], "A": [1, 2, 3], "B": [4, 5, 6]}, target_name="B",time_name = "time", feature_names=["A"]), + [Column("C", [5, 7, 8, 9]), Column("D", [4, 10, 11, 12])], + r"Expected a column of size 3 but got column of size 4.", + ), + ], + ids=["columns_are_oversize"], +) +def test_should_raise_column_size_error_if_columns_are_oversize( + time_series: TimeSeries, + columns: list[Column] | Table, + error_msg: str, +) -> None: + with pytest.raises(ColumnSizeError, match=error_msg): + time_series.add_columns_as_features(columns) + + + diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_row.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_row.py new file mode 100644 index 000000000..adadaa191 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_row.py @@ -0,0 +1,85 @@ +import pytest +from safeds.data.tabular.containers import Row, TimeSeries +from safeds.exceptions import UnknownColumnNameError + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("time_series", "row", "expected"), + [ + ( + TimeSeries( + { + "time": [0,1], + "feature": [0, 1], + "target": [3, 4], + }, + "target", + "time", + ), + Row( + { + "time": 2, + "feature": 2, + "target": 5, + }, + ), + TimeSeries( + { + "time": [0, 1, 2], + "feature": [0, 1, 2], + "target": [3, 4, 5], + }, + "target", + "time", + ), + ), + ], + ids=["add_row"], +) +def test_should_add_row(time_series: TimeSeries, row: Row, expected: TimeSeries) -> None: + assert_that_time_series_are_equal(time_series.add_row(row), expected) + +@pytest.mark.parametrize( + ("time_series", "row", "error_msg"), + [ + ( + TimeSeries({"time": [], "feature": [], "target": []}, "target", "time", ["feature"]), + Row({"feat": None, "targ": None}), + r"Could not find column\(s\) 'time, feature, target'.", + ), + ], + ids=["columns_missing"], +) +def test_should_raise_an_error_if_row_schema_invalid( + time_series: TimeSeries, + row: Row, + error_msg: str, +) -> None: + with pytest.raises(UnknownColumnNameError, match=error_msg): + time_series.add_row(row) + + +# the original tests throw a warning here aswell( test_add_row in tagged_table) +@pytest.mark.parametrize( + ("time_series", "row", "expected_time_series"), + [ + ( + TimeSeries({"time": [],"feature": [], "target": []}, "target", "time"), + Row({"time": 0,"feature": 2, "target": 5}), + TimeSeries({"time": [0], "feature": [2], "target": [5]}, "target", "time"), + ), + ], + ids=["empty_feature_column"], +) +def test_should_add_row_to_empty_table( + time_series: TimeSeries, + row: Row, + expected_time_series: TimeSeries, +) -> None: + assert_that_time_series_are_equal(time_series.add_row(row), expected_time_series) + + + + diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_rows.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_rows.py new file mode 100644 index 000000000..fc9e57858 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_rows.py @@ -0,0 +1,70 @@ +import pytest +from safeds.data.tabular.containers import Row, Table, TimeSeries +from safeds.exceptions import UnknownColumnNameError + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("time_series", "rows", "expected"), + [ + ( + TimeSeries( + { + "time": [0,1], + "feature": [0, 1], + "target": [4, 5], + }, + "target", + "time", + ), + [ + Row( + { + "time": 2, + "feature": 2, + "target": 6, + }, + ), + Row({ + "time": 3, + "feature": 3, + "target": 7 + } + ), + ], + TimeSeries( + { + "time" : [0, 1, 2, 3], + "feature": [0, 1, 2, 3], + "target": [4, 5, 6, 7], + }, + "target", + "time", + ), + ), + ], + ids=["add_rows"], +) +def test_should_add_rows(time_series: TimeSeries, rows: list[Row], expected: TimeSeries) -> None: + assert_that_time_series_are_equal(time_series.add_rows(rows), expected) + + +@pytest.mark.parametrize( + ("time_series", "rows", "error_msg"), + [ + ( + TimeSeries({"time": [], "feature": [], "target": []}, "target","time", ["feature"]), + [Row({"feat": None, "targ": None}), Row({"targ": None, "feat": None})], + r"Could not find column\(s\) 'time, feature, target'.", + ), + ], + ids=["columns_missing"], +) +def test_should_raise_an_error_if_rows_schemas_are_invalid( + time_series: TimeSeries, + rows: list[Row] | Table, + error_msg: str, +) -> None: + with pytest.raises(UnknownColumnNameError, match=error_msg): + time_series.add_rows(rows) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_as_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_as_table.py new file mode 100644 index 000000000..443e6f7cf --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_as_table.py @@ -0,0 +1,58 @@ +import pytest +from safeds.data.tabular.containers import Table, TimeSeries + + +@pytest.mark.parametrize( + ("time_series", "expected"), + [ + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_1": [3, 9, 6], + "feature_2": [6, 12, 9], + "target": [1, 3, 2], + }, + "target", + "time", + ["feature_1", "feature_2"], + ), + Table( + { + "time": [0, 1, 2], + "feature_1": [3, 9, 6], + "feature_2": [6, 12, 9], + "target": [1, 3, 2], + }, + ), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_1": [3, 9, 6], + "feature_2": [6, 12, 9], + "other": [3, 9, 12], + "target": [1, 3, 2], + }, + "target", + "time", + ["feature_1", "feature_2"], + ), + Table( + { + "time": [0, 1, 2], + "feature_1": [3, 9, 6], + "feature_2": [6, 12, 9], + "other": [3, 9, 12], + "target": [1, 3, 2], + }, + ), + ), + ], + ids=["normal", "table_with_column_as_non_feature"], +) +def test_should_return_table(time_series: TimeSeries, expected: Table) -> None: + table = time_series._as_table() + assert table.schema == expected.schema + assert table == expected diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_features.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_features.py new file mode 100644 index 000000000..cda3431c8 --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_features.py @@ -0,0 +1,49 @@ +import pytest +from safeds.data.tabular.containers import Table, TimeSeries + + +@pytest.mark.parametrize( + ("time_series", "features"), + [ + ( + TimeSeries( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + target_name="T", + time_name= "time", + ), + Table({ + "A": [1, 4], + "B": [2, 5], + "C": [3, 6]}), + ), + ( + TimeSeries( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + target_name="T", + time_name = "time", + feature_names=["A", "C"], + ), + Table( + { + "A": [1, 4], + "C": [3, 6] + } + ), + ), + ], + ids=["only_target_and_features", "target_features_and_other"], +) +def test_should_return_features(time_series: TimeSeries, features: Table) -> None: + assert time_series.features == features diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_filter_rows.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_filter_rows.py new file mode 100644 index 000000000..83421236c --- /dev/null +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_filter_rows.py @@ -0,0 +1,121 @@ +from collections.abc import Callable + +import pytest +from safeds.data.tabular.containers import Row, TimeSeries + +from tests.helpers import assert_that_time_series_are_equal + + +@pytest.mark.parametrize( + ("time_series", "expected", "query"), + [ + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_1": [3, 9, 6], + "feature_2": [6, 12, 9], + "target": [1, 3, 2], + }, + "target", + "time", + ), + TimeSeries( + { + "time": [0, 2], + "feature_1": [3, 6], + "feature_2": [6, 9], + "target": [1, 2], + }, + "target", + "time", + ), + lambda row: all(row.get_value(col) < 10 for col in row.column_names), + ), + ( + TimeSeries( + { + "time": [0, 1, 2, 3], + "feature_1": [3, 9, 6, 2], + "feature_2": [6, 12, 9, 3], + "other": [1, 2, 3, 10], + "target": [1, 3, 2, 4], + }, + "target", + "time", + ["feature_1", "feature_2"], + ), + TimeSeries( + { + "time": [0, 2,], + "feature_1": [3, 6], + "feature_2": [6, 9], + "other": [1, 3], + "target": [1, 2], + }, + "target", + "time", + ["feature_1", "feature_2"], + ), + lambda row: all(row.get_value(col) < 10 for col in row.column_names), + ), + ( + TimeSeries( + { + "time": [0, 1, 2], + "feature_1": [3, 9, 6], + "feature_2": [6, 12, 9], + "target": [1, 3, 2], + }, + "target", + "time", + ), + TimeSeries( + { + "time": [0, 1, 2], + "feature_1": [3, 9, 6], + "feature_2": [6, 12, 9], + "target": [1, 3, 2], + }, + "target", + "time", + ), + lambda row: all(row.get_value(col) < 20 for col in row.column_names), + ), + ( + TimeSeries( + { + "time": [0, 1, 2, 3], + "feature_1": [3, 9, 6, 2], + "feature_2": [6, 12, 9, 3], + "other": [1, 2, 3, 10], + "target": [1, 3, 2, 4], + }, + "target", + "time", + ["feature_1", "feature_2"], + ), + TimeSeries( + { + "time": [0, 1, 2, 3], + "feature_1": [3, 9, 6, 2], + "feature_2": [6, 12, 9, 3], + "other": [1, 2, 3, 10], + "target": [1, 3, 2, 4], + }, + "target", + "time", + ["feature_1", "feature_2"], + ), + lambda row: all(row.get_value(col) < 20 for col in row.column_names), + ), + ], + ids=[ + "remove_rows_with_values_greater_9", + "remove_rows_with_values_greater_9_non_feature_columns", + "remove_no_rows", + "remove_no_rows_non_feature_columns", + ], +) +def test_should_filter_rows(time_series: TimeSeries, expected: TimeSeries, query: Callable[[Row], bool]) -> None: + assert_that_time_series_are_equal(time_series.filter_rows(query), expected) From 6a7fb44631336c2f741019b244876e60fadd1923 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 21:37:01 +0100 Subject: [PATCH 40/65] added some coverage --- src/__init__.py | 0 src/safeds/data/tabular/containers/_time_series.py | 4 ++-- .../_time_series/test_add_columns_as_features.py | 2 -- .../_time_series/test_remove_columns.py | 14 +++++++++++++- .../test_remove_columns_with_missing_values.py | 3 ++- .../test_remove_rows_with_missing_values.py | 1 + 6 files changed, 18 insertions(+), 6 deletions(-) delete mode 100644 src/__init__.py diff --git a/src/__init__.py b/src/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index dd00a28ad..754e22aa0 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -277,9 +277,8 @@ def add_column(self, column: Column) -> TimeSeries: ColumnSizeError If the size of the column does not match the number of rows. """ - new_tagged_table = super().add_column(column) return TimeSeries._from_tagged_table( - new_tagged_table, + super().add_column(column), time_name=self.time.name, ) @@ -542,6 +541,7 @@ def remove_columns_with_missing_values(self) -> TimeSeries: if len(set(self.features.column_names).intersection(set(table.column_names))) == 0: raise IllegalSchemaModificationError("You cannot remove every feature column.") if self.time.name not in table.column_names: + print("hi") raise ColumnIsTimeError(self.time.name) return TimeSeries._from_tagged_table( TaggedTable._from_table( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py index 67e43c8a4..c30e5555b 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py @@ -53,8 +53,6 @@ def test_add_columns_as_features( columns: list[Column] | Table, time_series_with_new_columns: TimeSeries, ) -> None: - print(time_series.add_columns_as_features(columns).features.column_names) - print(time_series_with_new_columns.features.column_names) assert_that_time_series_are_equal(time_series.add_columns_as_features(columns), time_series_with_new_columns) @pytest.mark.parametrize( ("time_series", "columns", "error_msg"), diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py index df68ab38f..476eb4560 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Table, TimeSeries -from safeds.exceptions import ColumnIsTargetError, IllegalSchemaModificationError +from safeds.exceptions import ColumnIsTargetError, IllegalSchemaModificationError, ColumnIsTimeError from tests.helpers import assert_that_time_series_are_equal @@ -199,12 +199,24 @@ def test_should_remove_columns(table: TimeSeries, columns: list[str], expected: IllegalSchemaModificationError, r"Illegal schema modification: You cannot remove every feature column.", ), + ( + TimeSeries._from_table_to_time_series( + Table({"time": [0, 1, 2], "feat": [1, 2, 3], "non_feat": [1, 2, 3], "target": [4, 5, 6]}), + "target", + "time", + ["feat"], + ), + ["time"], + ColumnIsTimeError, + r'Illegal schema modification: Column "time" is the time column and cannot be removed.', + ), ], ids=[ "remove_only_target", "remove_non_feat_and_target", "remove_all_features", "remove_non_feat_and_all_features", + "remove_time_column", ], ) def test_should_raise_in_remove_columns( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py index 8e96ef290..fbf9007d0 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py @@ -143,7 +143,7 @@ def test_should_remove_columns_with_non_numerical_values(table: TimeSeries, expe { "time": [0, 1, 2], "feature": [0, 1, 2], - "non_feature": [1, None, 3], + "non_feature": [1, 2, 3], "target": [3, 4, None], }, "target", @@ -219,3 +219,4 @@ def test_should_raise_in_remove_columns_with_missing_values( match=error_msg, ): table.remove_columns_with_missing_values() + diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py index 078151ac9..770948be5 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py @@ -53,3 +53,4 @@ def test_should_remove_rows_with_missing_values(table: TimeSeries, expected: TimeSeries) -> None: new_table = table.remove_rows_with_missing_values() assert_that_time_series_are_equal(new_table, expected) + From 79aba4382ca8cd444afe6ed8dfa6271bf7fd7cd1 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 21:44:21 +0100 Subject: [PATCH 41/65] fixed print statement --- src/safeds/data/tabular/containers/_time_series.py | 1 - .../_tagged_table/_time_series/test_add_column_as_feature.py | 1 - 2 files changed, 2 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 754e22aa0..0397dfec2 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -541,7 +541,6 @@ def remove_columns_with_missing_values(self) -> TimeSeries: if len(set(self.features.column_names).intersection(set(table.column_names))) == 0: raise IllegalSchemaModificationError("You cannot remove every feature column.") if self.time.name not in table.column_names: - print("hi") raise ColumnIsTimeError(self.time.name) return TimeSeries._from_tagged_table( TaggedTable._from_table( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py index add0d4c3e..a93872ddf 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py @@ -41,7 +41,6 @@ def test_should_add_column_as_feature( time_series_with_new_column: TimeSeries, ) -> None: test = time_series.add_column_as_feature(column) - print(type(test)) assert_that_time_series_are_equal(time_series.add_column_as_feature(column),time_series_with_new_column, ) @pytest.mark.parametrize( From 8cbe5e32e83f8225a1b1da4e090caa38c9d19218 Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 21:47:17 +0100 Subject: [PATCH 42/65] fixed print statement --- .../_tagged_table/_time_series/test_add_column_as_feature.py | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py index a93872ddf..cb3622792 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py @@ -40,7 +40,6 @@ def test_should_add_column_as_feature( column: Column, time_series_with_new_column: TimeSeries, ) -> None: - test = time_series.add_column_as_feature(column) assert_that_time_series_are_equal(time_series.add_column_as_feature(column),time_series_with_new_column, ) @pytest.mark.parametrize( From 221b5b2816d22d44274f097c33926688abfb386c Mon Sep 17 00:00:00 2001 From: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com> Date: Wed, 20 Dec 2023 20:49:23 +0000 Subject: [PATCH 43/65] style: apply automated linter fixes --- .../_time_series/test_add_column.py | 16 +++--- .../test_add_column_as_feature.py | 36 +++++++----- .../_time_series/test_add_columns.py | 4 +- .../test_add_columns_as_features.py | 55 +++++++++++-------- .../_time_series/test_add_row.py | 11 ++-- .../_time_series/test_add_rows.py | 13 ++--- .../_time_series/test_features.py | 16 ++---- .../_time_series/test_filter_rows.py | 5 +- .../_time_series/test_remove_columns.py | 2 +- ...test_remove_columns_with_missing_values.py | 1 - .../test_remove_rows_with_missing_values.py | 1 - 11 files changed, 81 insertions(+), 79 deletions(-) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column.py index ec5253050..431fc1283 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column.py @@ -10,25 +10,25 @@ ( TimeSeries( { - "time" : [0,1,2], + "time": [0, 1, 2], "feature_1": [0, 1, 2], "target": [3, 4, 5], }, - target_name = "target", - time_name = "time", - feature_names = None, + target_name="target", + time_name="time", + feature_names=None, ), Column("other", [6, 7, 8]), TimeSeries( { - "time" : [0,1,2], + "time": [0, 1, 2], "feature_1": [0, 1, 2], "target": [3, 4, 5], "other": [6, 7, 8], }, - target_name = "target", - time_name = "time", - feature_names = ["feature_1"], + target_name="target", + time_name="time", + feature_names=["feature_1"], ), ), ], diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py index cb3622792..9ef311f16 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py @@ -9,27 +9,27 @@ ("time_series", "column", "time_series_with_new_column"), [ ( - Table({"t": [1, 2],"f1": [1, 2], "target": [2, 3]}).time_columns(target_name="target", - time_name= "t", - feature_names=["f1"]), + Table({"t": [1, 2], "f1": [1, 2], "target": [2, 3]}).time_columns( + target_name="target", time_name="t", feature_names=["f1"], + ), Column("f2", [4, 5]), - Table({"t": [1, 2],"f1": [1, 2], "target": [2, 3], "f2": [4, 5]}).time_columns( + Table({"t": [1, 2], "f1": [1, 2], "target": [2, 3], "f2": [4, 5]}).time_columns( target_name="target", - time_name = "t", - feature_names=["f1","f2"], + time_name="t", + feature_names=["f1", "f2"], ), ), ( Table({"f1": [1, 2], "target": [2, 3], "other": [0, -1]}).time_columns( target_name="target", - time_name= "other", + time_name="other", feature_names=["f1"], ), Column("f2", [4, 5]), Table({"f1": [1, 2], "target": [2, 3], "other": [0, -1], "f2": [4, 5]}).time_columns( target_name="target", - time_name = "other", - feature_names=["f1","f2"], + time_name="other", + feature_names=["f1", "f2"], ), ), ], @@ -40,8 +40,12 @@ def test_should_add_column_as_feature( column: Column, time_series_with_new_column: TimeSeries, ) -> None: - assert_that_time_series_are_equal(time_series.add_column_as_feature(column),time_series_with_new_column, -) + assert_that_time_series_are_equal( + time_series.add_column_as_feature(column), + time_series_with_new_column, + ) + + @pytest.mark.parametrize( ("tagged_table", "column", "error_msg"), [ @@ -61,12 +65,18 @@ def test_should_raise_duplicate_column_name_if_column_already_exists( with pytest.raises(DuplicateColumnNameError, match=error_msg): tagged_table.add_column_as_feature(column) + # here starts the second test for errors @pytest.mark.parametrize( ("time_series", "column", "error_msg"), [ ( - TimeSeries({"time":[0,1,2],"A": [1, 2, 3], "B": [4, 5, 6]}, target_name="B",time_name= "time", feature_names=["A"]), + TimeSeries( + {"time": [0, 1, 2], "A": [1, 2, 3], "B": [4, 5, 6]}, + target_name="B", + time_name="time", + feature_names=["A"], + ), Column("C", [5, 7, 8, 9]), r"Expected a column of size 3 but got column of size 4.", ), @@ -80,5 +90,3 @@ def test_should_raise_column_size_error_if_column_is_oversize( ) -> None: with pytest.raises(ColumnSizeError, match=error_msg): time_series.add_column_as_feature(column) - - diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns.py index 1a4bfc083..ca86cc122 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns.py @@ -10,7 +10,7 @@ ( TimeSeries( { - "time" : [0,1,2], + "time": [0, 1, 2], "feature_1": [0, 1, 2], "target": [3, 4, 5], }, @@ -21,7 +21,7 @@ [Column("other", [6, 7, 8]), Column("other2", [9, 6, 3])], TimeSeries( { - "time" : [0,1,2], + "time": [0, 1, 2], "feature_1": [0, 1, 2], "target": [3, 4, 5], "other": [6, 7, 8], diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py index c30e5555b..f5b050021 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py @@ -9,39 +9,39 @@ ("time_series", "columns", "time_series_with_new_columns"), [ ( - Table({"time":[0,1],"f1": [1, 2], "target": [2, 3]}).time_columns( - target_name="target", - time_name = "time", - feature_names=["f1"]), + Table({"time": [0, 1], "f1": [1, 2], "target": [2, 3]}).time_columns( + target_name="target", time_name="time", feature_names=["f1"], + ), [Column("f2", [4, 5]), Column("f3", [6, 7])], - Table({"time":[0,1],"f1": [1, 2], "target": [2, 3], "f2": [4, 5], "f3": [6, 7]}).time_columns( + Table({"time": [0, 1], "f1": [1, 2], "target": [2, 3], "f2": [4, 5], "f3": [6, 7]}).time_columns( target_name="target", - time_name = "time", + time_name="time", feature_names=["f1", "f2", "f3"], ), ), ( - Table({"time":[0,1],"f1": [1, 2], "target": [2, 3]}).time_columns( - target_name="target", - time_name = "time", - feature_names=["f1"]), + Table({"time": [0, 1], "f1": [1, 2], "target": [2, 3]}).time_columns( + target_name="target", time_name="time", feature_names=["f1"], + ), Table.from_columns([Column("f2", [4, 5]), Column("f3", [6, 7])]), - Table({"time":[0,1],"f1": [1, 2], "target": [2, 3], "f2": [4, 5], "f3": [6, 7]}).time_columns( + Table({"time": [0, 1], "f1": [1, 2], "target": [2, 3], "f2": [4, 5], "f3": [6, 7]}).time_columns( target_name="target", - time_name = "time", + time_name="time", feature_names=["f1", "f2", "f3"], ), ), ( - Table({"time":[0,1],"f1": [1, 2], "target": [2, 3], "other": [0, -1]}).time_columns( + Table({"time": [0, 1], "f1": [1, 2], "target": [2, 3], "other": [0, -1]}).time_columns( target_name="target", - time_name = "time", + time_name="time", feature_names=["f1"], ), Table.from_columns([Column("f2", [4, 5]), Column("f3", [6, 7])]), - Table({"time":[0,1],"f1": [1, 2], "target": [2, 3], "other": [0, -1], "f2": [4, 5], "f3": [6, 7]}).time_columns( + Table({ + "time": [0, 1], "f1": [1, 2], "target": [2, 3], "other": [0, -1], "f2": [4, 5], "f3": [6, 7], + }).time_columns( target_name="target", - time_name = "time", + time_name="time", feature_names=["f1", "f2", "f3"], ), ), @@ -54,17 +54,24 @@ def test_add_columns_as_features( time_series_with_new_columns: TimeSeries, ) -> None: assert_that_time_series_are_equal(time_series.add_columns_as_features(columns), time_series_with_new_columns) + + @pytest.mark.parametrize( ("time_series", "columns", "error_msg"), [ ( - TimeSeries({"time": [0,1,2],"A": [1, 2, 3], "B": [4, 5, 6]}, target_name="B",time_name = "time", feature_names=["A"]), + TimeSeries( + {"time": [0, 1, 2], "A": [1, 2, 3], "B": [4, 5, 6]}, + target_name="B", + time_name="time", + feature_names=["A"], + ), [Column("A", [7, 8, 9]), Column("D", [10, 11, 12])], r"Column 'A' already exists.", ), ], - ids=["column_already_exist"],) - + ids=["column_already_exist"], +) def test_add_columns_raise_duplicate_column_name_if_column_already_exist( time_series: TimeSeries, columns: list[Column] | Table, @@ -78,7 +85,12 @@ def test_add_columns_raise_duplicate_column_name_if_column_already_exist( ("time_series", "columns", "error_msg"), [ ( - TimeSeries({"time": [0,1,2], "A": [1, 2, 3], "B": [4, 5, 6]}, target_name="B",time_name = "time", feature_names=["A"]), + TimeSeries( + {"time": [0, 1, 2], "A": [1, 2, 3], "B": [4, 5, 6]}, + target_name="B", + time_name="time", + feature_names=["A"], + ), [Column("C", [5, 7, 8, 9]), Column("D", [4, 10, 11, 12])], r"Expected a column of size 3 but got column of size 4.", ), @@ -92,6 +104,3 @@ def test_should_raise_column_size_error_if_columns_are_oversize( ) -> None: with pytest.raises(ColumnSizeError, match=error_msg): time_series.add_columns_as_features(columns) - - - diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_row.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_row.py index adadaa191..a14aab68c 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_row.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_row.py @@ -11,7 +11,7 @@ ( TimeSeries( { - "time": [0,1], + "time": [0, 1], "feature": [0, 1], "target": [3, 4], }, @@ -41,6 +41,7 @@ def test_should_add_row(time_series: TimeSeries, row: Row, expected: TimeSeries) -> None: assert_that_time_series_are_equal(time_series.add_row(row), expected) + @pytest.mark.parametrize( ("time_series", "row", "error_msg"), [ @@ -66,8 +67,8 @@ def test_should_raise_an_error_if_row_schema_invalid( ("time_series", "row", "expected_time_series"), [ ( - TimeSeries({"time": [],"feature": [], "target": []}, "target", "time"), - Row({"time": 0,"feature": 2, "target": 5}), + TimeSeries({"time": [], "feature": [], "target": []}, "target", "time"), + Row({"time": 0, "feature": 2, "target": 5}), TimeSeries({"time": [0], "feature": [2], "target": [5]}, "target", "time"), ), ], @@ -79,7 +80,3 @@ def test_should_add_row_to_empty_table( expected_time_series: TimeSeries, ) -> None: assert_that_time_series_are_equal(time_series.add_row(row), expected_time_series) - - - - diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_rows.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_rows.py index fc9e57858..641a2ec05 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_rows.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_rows.py @@ -11,7 +11,7 @@ ( TimeSeries( { - "time": [0,1], + "time": [0, 1], "feature": [0, 1], "target": [4, 5], }, @@ -26,16 +26,11 @@ "target": 6, }, ), - Row({ - "time": 3, - "feature": 3, - "target": 7 - } - ), + Row({"time": 3, "feature": 3, "target": 7}), ], TimeSeries( { - "time" : [0, 1, 2, 3], + "time": [0, 1, 2, 3], "feature": [0, 1, 2, 3], "target": [4, 5, 6, 7], }, @@ -54,7 +49,7 @@ def test_should_add_rows(time_series: TimeSeries, rows: list[Row], expected: Tim ("time_series", "rows", "error_msg"), [ ( - TimeSeries({"time": [], "feature": [], "target": []}, "target","time", ["feature"]), + TimeSeries({"time": [], "feature": [], "target": []}, "target", "time", ["feature"]), [Row({"feat": None, "targ": None}), Row({"targ": None, "feat": None})], r"Could not find column\(s\) 'time, feature, target'.", ), diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_features.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_features.py index cda3431c8..aa9631fc5 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_features.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_features.py @@ -15,12 +15,9 @@ "T": [0, 1], }, target_name="T", - time_name= "time", + time_name="time", ), - Table({ - "A": [1, 4], - "B": [2, 5], - "C": [3, 6]}), + Table({"A": [1, 4], "B": [2, 5], "C": [3, 6]}), ), ( TimeSeries( @@ -32,15 +29,10 @@ "T": [0, 1], }, target_name="T", - time_name = "time", + time_name="time", feature_names=["A", "C"], ), - Table( - { - "A": [1, 4], - "C": [3, 6] - } - ), + Table({"A": [1, 4], "C": [3, 6]}), ), ], ids=["only_target_and_features", "target_features_and_other"], diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_filter_rows.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_filter_rows.py index 83421236c..a7d38e257 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_filter_rows.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_filter_rows.py @@ -47,7 +47,10 @@ ), TimeSeries( { - "time": [0, 2,], + "time": [ + 0, + 2, + ], "feature_1": [3, 6], "feature_2": [6, 9], "other": [1, 3], diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py index 476eb4560..ccadbd877 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Table, TimeSeries -from safeds.exceptions import ColumnIsTargetError, IllegalSchemaModificationError, ColumnIsTimeError +from safeds.exceptions import ColumnIsTargetError, ColumnIsTimeError, IllegalSchemaModificationError from tests.helpers import assert_that_time_series_are_equal diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py index fbf9007d0..01958f2dc 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_columns_with_missing_values.py @@ -219,4 +219,3 @@ def test_should_raise_in_remove_columns_with_missing_values( match=error_msg, ): table.remove_columns_with_missing_values() - diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py index 770948be5..078151ac9 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_remove_rows_with_missing_values.py @@ -53,4 +53,3 @@ def test_should_remove_rows_with_missing_values(table: TimeSeries, expected: TimeSeries) -> None: new_table = table.remove_rows_with_missing_values() assert_that_time_series_are_equal(new_table, expected) - From c16778fcca336016663c5edcd3f423c9a991028b Mon Sep 17 00:00:00 2001 From: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com> Date: Wed, 20 Dec 2023 20:50:55 +0000 Subject: [PATCH 44/65] style: apply automated linter fixes --- .../_time_series/test_add_column_as_feature.py | 4 +++- .../_time_series/test_add_columns_as_features.py | 15 ++++++++++++--- 2 files changed, 15 insertions(+), 4 deletions(-) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py index 9ef311f16..0f190c4d4 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_column_as_feature.py @@ -10,7 +10,9 @@ [ ( Table({"t": [1, 2], "f1": [1, 2], "target": [2, 3]}).time_columns( - target_name="target", time_name="t", feature_names=["f1"], + target_name="target", + time_name="t", + feature_names=["f1"], ), Column("f2", [4, 5]), Table({"t": [1, 2], "f1": [1, 2], "target": [2, 3], "f2": [4, 5]}).time_columns( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py index f5b050021..4bbbacccf 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_add_columns_as_features.py @@ -10,7 +10,9 @@ [ ( Table({"time": [0, 1], "f1": [1, 2], "target": [2, 3]}).time_columns( - target_name="target", time_name="time", feature_names=["f1"], + target_name="target", + time_name="time", + feature_names=["f1"], ), [Column("f2", [4, 5]), Column("f3", [6, 7])], Table({"time": [0, 1], "f1": [1, 2], "target": [2, 3], "f2": [4, 5], "f3": [6, 7]}).time_columns( @@ -21,7 +23,9 @@ ), ( Table({"time": [0, 1], "f1": [1, 2], "target": [2, 3]}).time_columns( - target_name="target", time_name="time", feature_names=["f1"], + target_name="target", + time_name="time", + feature_names=["f1"], ), Table.from_columns([Column("f2", [4, 5]), Column("f3", [6, 7])]), Table({"time": [0, 1], "f1": [1, 2], "target": [2, 3], "f2": [4, 5], "f3": [6, 7]}).time_columns( @@ -38,7 +42,12 @@ ), Table.from_columns([Column("f2", [4, 5]), Column("f3", [6, 7])]), Table({ - "time": [0, 1], "f1": [1, 2], "target": [2, 3], "other": [0, -1], "f2": [4, 5], "f3": [6, 7], + "time": [0, 1], + "f1": [1, 2], + "target": [2, 3], + "other": [0, -1], + "f2": [4, 5], + "f3": [6, 7], }).time_columns( target_name="target", time_name="time", From b1b001711f543f2c4e878484422994565ce530dd Mon Sep 17 00:00:00 2001 From: Ettel Date: Wed, 20 Dec 2023 21:55:43 +0100 Subject: [PATCH 45/65] updated code coverage, now everything should be fine --- src/safeds/data/tabular/containers/_time_series.py | 8 -------- 1 file changed, 8 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 0397dfec2..c96ad1ccb 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -536,10 +536,6 @@ def remove_columns_with_missing_values(self) -> TimeSeries: If the columns to remove contain all the feature columns. """ table = super().remove_columns_with_missing_values() - if self.target.name not in table.column_names: - raise ColumnIsTargetError(self.target.name) - if len(set(self.features.column_names).intersection(set(table.column_names))) == 0: - raise IllegalSchemaModificationError("You cannot remove every feature column.") if self.time.name not in table.column_names: raise ColumnIsTimeError(self.time.name) return TimeSeries._from_tagged_table( @@ -573,10 +569,6 @@ def remove_columns_with_non_numerical_values(self) -> TimeSeries: If the columns to remove contain all the feature columns. """ table = super().remove_columns_with_non_numerical_values() - if self.target.name not in table.column_names: - raise ColumnIsTargetError(self.target.name) - if len(set(self.features.column_names).intersection(set(table.column_names))) == 0: - raise IllegalSchemaModificationError("You cannot remove every feature column.") if self.time.name not in table.column_names: raise ColumnIsTimeError(self.time.name) return TimeSeries._from_tagged_table( From db5b0f5fd55cdafb1a0bc696d834862dca4ddc46 Mon Sep 17 00:00:00 2001 From: Ettel Date: Mon, 15 Jan 2024 22:51:05 +0100 Subject: [PATCH 46/65] added test after review(1), will be added more --- .../data/tabular/containers/_time_series.py | 7 +++++++ .../test_from_table_to_time_series.py | 19 +++++++++++++++++++ .../_time_series/test_from_tagged_table.py | 18 ++++++++++++++++++ .../_tagged_table/_time_series/test_init.py | 16 ++++++++++++++++ 4 files changed, 60 insertions(+) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index c96ad1ccb..635736680 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -74,6 +74,8 @@ def _from_tagged_table( >>> tagged_table = TaggedTable({"date": ["01.01", "01.02", "01.03", "01.04"], "col1": ["a", "b", "c", "a"]}, "col1" ) >>> timeseries = TimeSeries._from_tagged_table(tagged_table, time_name = "date") """ + if time_name not in tagged_table.column_names: + raise ValueError(f"Could not find Column '{time_name}'.") table = tagged_table._as_table() # make sure that the time_name is not part of the features result = object.__new__(TimeSeries) @@ -129,6 +131,7 @@ def _from_table_to_time_series( >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) >>> timeseries = TimeSeries._from_table_to_time_series(table, "t", "date", ["f1"]) """ + if feature_names is None: feature_names = table.column_names if time_name in feature_names: @@ -179,6 +182,7 @@ def __init__( >>> table = TaggedTable({"a": [1, 2, 3], "b": [4, 5, 6]}, "b", ["a"]) """ _data = Table(data) + old_names = feature_names # time sollte nicht in feature names sein auch wenn feature_names none ist if feature_names is None: feature_names = _data.column_names @@ -187,12 +191,15 @@ def __init__( if target_name in feature_names: feature_names.remove(target_name) + super().__init__(data, target_name, feature_names) # Validate inputs if time_name not in (_data.column_names): raise ValueError(f"Column '{time_name}' must exist in the table.") + if time_name in old_names: + raise ValueError(f"Column '{time_name}' can not be time and feature column.") self._time: Column = _data.get_column(time_name) # ------------------------------------------------------------------------------------------------------------------ diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py index 5fa8134cf..10c587e99 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py @@ -83,6 +83,23 @@ ValueError, r"At least one feature column must be specified.", ), + ( + Table( + { + "r": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + ["A", "B", "C"], + ValueError, + r"Could not find Column 'time'.", + + ), ], ids=[ "feature_does_not_exist", @@ -90,6 +107,7 @@ "target_and_feature_overlap", "features_are_empty-explicitly", "features_are_empty_implicitly", + "time_does_not_exist", ], ) def test_should_raise_error( @@ -126,6 +144,7 @@ def test_should_raise_error( "time", ["A", "B", "C"], ), + ( Table( { diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index 864a41fa4..3c87febfb 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -86,6 +86,23 @@ ValueError, r"Column 'time' cannot be both time column and target.", ), +( + Table( + { + "r": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "time", + ["A", "B", "C"], + ValueError, + r"Could not find Column 'time'.", + + ), ], ids=[ "feature_does_not_exist", @@ -93,6 +110,7 @@ "target_and_feature_overlap", "features_are_empty-explicitly", "time_name_is_target", + "time_does_not_exist", ], ) def test_should_raise_error( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py index eb67d914d..a9db9dc65 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py @@ -87,6 +87,20 @@ ValueError, r"Column 'random' must exist in the table.", ), + ( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + "time", + "T", + ["A", "B", "C", "time"], + ValueError, + "Column 'time' can not be time and feature column.", + ), ], ids=[ "feature_does_not_exist", @@ -95,6 +109,8 @@ "features_are_empty-explicitly", "features_are_empty_implicitly", "time_column_does_not_exist", + "time_is_also_feature", + ], ) def test_should_raise_error( From 9594a3e948c2af38247da1e4ec10999be604f817 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 <113539440+Gerhardsa0@users.noreply.github.com> Date: Mon, 15 Jan 2024 23:04:48 +0100 Subject: [PATCH 47/65] Apply suggestions from code review took over comment suggestions Co-authored-by: Simon Breuer <86068340+sibre28@users.noreply.github.com> --- src/safeds/exceptions/_data.py | 2 +- .../_table/_tagged_table/_time_series/test_from_tagged_table.py | 2 +- .../containers/_table/_tagged_table/_time_series/test_init.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/safeds/exceptions/_data.py b/src/safeds/exceptions/_data.py index d77cee485..a1318d8b7 100644 --- a/src/safeds/exceptions/_data.py +++ b/src/safeds/exceptions/_data.py @@ -151,7 +151,7 @@ def __init__(self, column_name: str) -> None: class ColumnIsTimeError(IllegalSchemaModificationError): - """Exception raised in overriden methods of the Table class when removing tagged Columns from a TimeSeries.""" + """Exception raised in overriden methods of the Table class when removing Time Columns from a TimeSeries.""" def __init__(self, column_name: str) -> None: super().__init__(f'Column "{column_name}" is the time column and cannot be removed.') diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index 3c87febfb..fc2f402fb 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -176,7 +176,7 @@ def test_should_raise_error( ], ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], ) -def test_should_create_a_tagged_table( +def test_should_create_a_time_series( table: Table, target_name: str, time_name: str, diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py index a9db9dc65..67e7cc441 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py @@ -167,7 +167,7 @@ def test_should_raise_error( ], ids=["create_tagged_table", "tagged_table_not_all_columns_are_features", "tagged_table_with_feature_names_as_None"], ) -def test_should_create_a_tagged_table( +def test_should_create_a_time_series( data: dict[str, list[int]], time_name: str, target_name: str, From 39ff8c29547b8495847790af4d85dd8cdf77d4c8 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 <113539440+Gerhardsa0@users.noreply.github.com> Date: Mon, 15 Jan 2024 23:14:24 +0100 Subject: [PATCH 48/65] Apply suggestions from code review Co-authored-by: Simon Breuer <86068340+sibre28@users.noreply.github.com> --- .../data/tabular/containers/_time_series.py | 49 ++++++++++--------- 1 file changed, 27 insertions(+), 22 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 635736680..782f9367c 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -15,9 +15,9 @@ class TimeSeries(TaggedTable): - """A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as an feature. + """A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as a feature. - A Time Column should never be an feature. + A Time Column should never be a feature. ---------- data : Mapping[str, Sequence[Any]] The data. @@ -26,11 +26,10 @@ class TimeSeries(TaggedTable): feature_names : list[str] | None Names of the feature columns. If None, all columns except the target column are used. - Raises - ------ time_name : str Name of the time column. - + Raises + ------ ------ ColumnLengthMismatchError If columns have different lengths. @@ -63,8 +62,8 @@ def _from_tagged_table( Raises ------ - UnknownColumnError - If target_name matches none of the column names. + UnknownColumnNameError + If time_name matches none of the column names. Value Error If no feature columns are specified @@ -120,7 +119,7 @@ def _from_table_to_time_series( Raises ------ - UnknownColumnError + UnknownColumnNameError If target_name matches none of the column names. Value Error If no feature columns are specified @@ -186,10 +185,10 @@ def __init__( # time sollte nicht in feature names sein auch wenn feature_names none ist if feature_names is None: feature_names = _data.column_names - if time_name in feature_names: - feature_names.remove(time_name) - if target_name in feature_names: - feature_names.remove(target_name) + if time_name in feature_names: + feature_names.remove(time_name) + if target_name in feature_names: + feature_names.remove(target_name) super().__init__(data, target_name, feature_names) @@ -246,17 +245,17 @@ def _as_table(self: TimeSeries) -> Table: """ Return a new `Table` with the tagging removed. - The original TaggedTable is not modified. + The original table is not modified. Parameters ---------- - self: TaggedTable - The TaggedTable. + self: TimeSeries + The Time Series. Returns ------- table: Table - The table as an untagged Table, i.e. without the information about which columns are features or target. + The table as an untagged Table, i.e. without the information about which columns are features, target or time. """ return Table.from_columns(super().to_columns()) @@ -291,7 +290,7 @@ def add_column(self, column: Column) -> TimeSeries: def add_column_as_feature(self, column: Column) -> TimeSeries: """ - Return a new time series with the provided column attached at the end, as a feature column. + Return a new `TimeSeries` with the provided column attached at the end, as a feature column. the original time series is not modified. @@ -375,7 +374,7 @@ def add_columns(self, columns: list[Column] | Table) -> TimeSeries: def add_row(self, row: Row) -> TimeSeries: """ - Return a new `TimeSeries` with an added Row attached. + Return a new `TimeSeries` with an extra Row attached. The original table is not modified. @@ -398,7 +397,7 @@ def add_row(self, row: Row) -> TimeSeries: def add_rows(self, rows: list[Row] | Table) -> TimeSeries: """ - Return a new `TimeSeries` with multiple added Rows attached. + Return a new `TimeSeries` with multiple extra Rows attached. The original table is not modified. @@ -449,7 +448,7 @@ def keep_only_columns(self, column_names: list[str]) -> TimeSeries: Parameters ---------- column_names : list[str] - A list containing only the columns to be kept. + A list containing the columns to be kept. Returns ------- @@ -503,6 +502,8 @@ def remove_columns(self, column_names: list[str]) -> TimeSeries: If any of the given columns does not exist. ColumnIsTargetError If any of the given columns is the target column. + ColumnIsTimeError + If any of the given columns is the time column. IllegalSchemaModificationError If the given columns contain all the feature columns. """ @@ -539,6 +540,8 @@ def remove_columns_with_missing_values(self) -> TimeSeries: ------ ColumnIsTargetError If any of the columns to be removed is the target column. + ColumnIsTimeError + If any of the columns to be removed is the time column. IllegalSchemaModificationError If the columns to remove contain all the feature columns. """ @@ -572,6 +575,8 @@ def remove_columns_with_non_numerical_values(self) -> TimeSeries: ------ ColumnIsTargetError If any of the columns to be removed is the target column. + ColumnIsTimeError + If any of the columns to be removed is the time column. IllegalSchemaModificationError If the columns to remove contain all the feature columns. """ @@ -699,8 +704,8 @@ def replace_column(self, old_column_name: str, new_columns: list[Column]) -> Tim """ Return a new `TimeSeries` with the specified old column replaced by a list of new columns. - If the column to be replaced is the target column, it must be replaced by exactly one column. That column - becomes the new target column. If the column to be replaced is a feature column, the new columns that replace it + If the column to be replaced is the target or time column, it must be replaced by exactly one column. That column + becomes the new target or time column. If the column to be replaced is a feature column, the new columns that replace it all become feature columns. The order of columns is kept. The original table is not modified. From 160e889cff336726e4f9a473efff1a8188d482ae Mon Sep 17 00:00:00 2001 From: Ettel Date: Tue, 16 Jan 2024 11:47:33 +0100 Subject: [PATCH 49/65] fixed tests --- .../data/tabular/containers/_time_series.py | 19 ++++++++----------- 1 file changed, 8 insertions(+), 11 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 782f9367c..9b66291bb 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -181,24 +181,21 @@ def __init__( >>> table = TaggedTable({"a": [1, 2, 3], "b": [4, 5, 6]}, "b", ["a"]) """ _data = Table(data) - old_names = feature_names + # time sollte nicht in feature names sein auch wenn feature_names none ist if feature_names is None: feature_names = _data.column_names - if time_name in feature_names: - feature_names.remove(time_name) - if target_name in feature_names: - feature_names.remove(target_name) - - - super().__init__(data, target_name, feature_names) + if time_name in feature_names: + feature_names.remove(time_name) + if target_name in feature_names: + feature_names.remove(target_name) # Validate inputs + super().__init__(data, target_name, feature_names) + if time_name in feature_names: + raise ValueError(f"Column '{time_name}' can not be time and feature column.") if time_name not in (_data.column_names): raise ValueError(f"Column '{time_name}' must exist in the table.") - - if time_name in old_names: - raise ValueError(f"Column '{time_name}' can not be time and feature column.") self._time: Column = _data.get_column(time_name) # ------------------------------------------------------------------------------------------------------------------ From 89828809e3e4f633ba397dc5c1acf91a8243289a Mon Sep 17 00:00:00 2001 From: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com> Date: Tue, 16 Jan 2024 10:50:23 +0000 Subject: [PATCH 50/65] style: apply automated linter fixes --- src/safeds/data/tabular/containers/_time_series.py | 2 +- .../_time_series/test_from_table_to_time_series.py | 2 -- .../_tagged_table/_time_series/test_from_tagged_table.py | 3 +-- .../containers/_table/_tagged_table/_time_series/test_init.py | 1 - 4 files changed, 2 insertions(+), 6 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 9b66291bb..64dc12853 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -28,6 +28,7 @@ class TimeSeries(TaggedTable): time_name : str Name of the time column. + Raises ------ ------ @@ -130,7 +131,6 @@ def _from_table_to_time_series( >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) >>> timeseries = TimeSeries._from_table_to_time_series(table, "t", "date", ["f1"]) """ - if feature_names is None: feature_names = table.column_names if time_name in feature_names: diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py index 10c587e99..15513766e 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py @@ -98,7 +98,6 @@ ["A", "B", "C"], ValueError, r"Could not find Column 'time'.", - ), ], ids=[ @@ -144,7 +143,6 @@ def test_should_raise_error( "time", ["A", "B", "C"], ), - ( Table( { diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index fc2f402fb..189c1ee86 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -86,7 +86,7 @@ ValueError, r"Column 'time' cannot be both time column and target.", ), -( + ( Table( { "r": [0, 1], @@ -101,7 +101,6 @@ ["A", "B", "C"], ValueError, r"Could not find Column 'time'.", - ), ], ids=[ diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py index 67e7cc441..9fa144a5d 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py @@ -110,7 +110,6 @@ "features_are_empty_implicitly", "time_column_does_not_exist", "time_is_also_feature", - ], ) def test_should_raise_error( From 262b9e6958465d4f792d8a865fc731bcefda9f70 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 <113539440+Gerhardsa0@users.noreply.github.com> Date: Wed, 24 Jan 2024 21:33:03 +0100 Subject: [PATCH 51/65] Apply suggestions from code review Co-authored-by: Alexander <47296670+Marsmaennchen221@users.noreply.github.com> --- src/safeds/data/tabular/containers/_table.py | 6 +- .../data/tabular/containers/_tagged_table.py | 2 +- .../data/tabular/containers/_time_series.py | 84 +++++++------------ 3 files changed, 34 insertions(+), 58 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index 9eeb05fad..42164cbf8 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -1730,12 +1730,12 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str time_name : str Name of the time column. feature_names : list[str] | None - Names of the feature columns. If None, all columns except the target column are used. + Names of the feature columns. If None, all columns except the target and time columns are used. Returns ------- time_series : TimeSeries - A new tagged table with the given target and feature names. + A new time series with the given target, time and feature names. Raises ------ @@ -1750,8 +1750,6 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str >>> table = Table.from_dict({"time": ["01.01", "01.02", "01.03"], "price": [1.10, 1.19, 1.79], "amount_bought": [74, 72, 51]}) >>> tagged_table = table.time_columns(target_name="amount_bought",time_name = "time", feature_names=["price"]) """ - from ._time_series import TimeSeries - return TimeSeries._from_table_to_time_series(self, target_name, time_name, feature_names) def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Table: diff --git a/src/safeds/data/tabular/containers/_tagged_table.py b/src/safeds/data/tabular/containers/_tagged_table.py index 8316b0b65..e0d092aef 100644 --- a/src/safeds/data/tabular/containers/_tagged_table.py +++ b/src/safeds/data/tabular/containers/_tagged_table.py @@ -396,7 +396,7 @@ def filter_rows(self, query: Callable[[Row], bool]) -> TaggedTable: Returns ------- result : TaggedTable - A table containing only the rows to match the query. + A new tagged table containing only the rows to match the query. """ return TaggedTable._from_table( super().filter_rows(query), diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 64dc12853..20c863e64 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -56,7 +56,7 @@ def _from_tagged_table( The tagged table. time_name: str Name of the time column. - Retruns + Returns ------- time_series : TimeSeries the created time series @@ -94,7 +94,6 @@ def _from_tagged_table( return result @staticmethod - # idk if this method should exist, because we cant use it like the Method in TaggedTable, but the Method is static and this seem to doesnt get checked by the megalinter. def _from_table_to_time_series( table: Table, target_name: str, @@ -112,8 +111,8 @@ def _from_table_to_time_series( time_name: str Name of the date column. feature_names : list[str] | None - Names of the feature columns. If None, all columns except the target column are used. - Retruns + Names of the feature columns. If None, all columns except the target and time columns are used. + Returns ------- time_series : TimeSeries the created time series @@ -121,7 +120,7 @@ def _from_table_to_time_series( Raises ------ UnknownColumnNameError - If target_name matches none of the column names. + If target_name or time_name matches none of the column names. Value Error If no feature columns are specified @@ -153,7 +152,7 @@ def __init__( feature_names: list[str] | None = None, ): """ - Create a tagged table from a mapping of column names to their values. + Create a time series from a mapping of column names to their values. Parameters ---------- @@ -164,7 +163,7 @@ def __init__( time_name : str Name of the time column feature_names : list[str] | None - Names of the feature columns. If None, all columns except the target column are used. + Names of the feature columns. If None, all columns except the target and time columns are used. Raises ------ @@ -214,27 +213,6 @@ def time(self) -> Column: """ return self._time - # ------------------------------------------------------------------------------------------------------------------ - # Specific methods from time series class: - # ------------------------------------------------------------------------------------------------------------------ - - # def _create_moving_average(self, window_size: int) -> Column: - # calculate the windows and the moving average of a timeserties, this function for now only has intern use - # some unexpected behavior while casting to series agains, because it addds NAN values - # return Column._from_pandas_series(pd.Series(self.target._data.rolling(window_size).mean())) - # pass - # def plot_moving_average(self, window_size: int) -> Image: - # this method should plot the moving average of a time series - # pass - - # def show_time_series(self) -> Image: - # this method should plot the time series - # pass - - # def decompose_time_series(self) -> Image: - # this Method should show a plot of a decomposed time series - # pass - # ------------------------------------------------------------------------------------------------------------------ # Overriden methods from TaggedTable class: # ------------------------------------------------------------------------------------------------------------------ @@ -242,7 +220,7 @@ def _as_table(self: TimeSeries) -> Table: """ Return a new `Table` with the tagging removed. - The original table is not modified. + The original time series is not modified. Parameters ---------- @@ -252,7 +230,7 @@ def _as_table(self: TimeSeries) -> Table: Returns ------- table: Table - The table as an untagged Table, i.e. without the information about which columns are features, target or time. + The time series as an untagged Table, i.e. without the information about which columns are features, target or time. """ return Table.from_columns(super().to_columns()) @@ -261,7 +239,7 @@ def add_column(self, column: Column) -> TimeSeries: """ Return a new `TimeSeries` with the provided column attached at the end, as neither target nor feature column. - The original table is not modified. + The original time series is not modified. Parameters ---------- @@ -271,7 +249,7 @@ def add_column(self, column: Column) -> TimeSeries: Returns ------- result : TimeSeries - The table with the column attached as neither target nor feature column. + The time series with the column attached as neither target nor feature column. Raises ------ @@ -299,7 +277,7 @@ def add_column_as_feature(self, column: Column) -> TimeSeries: Returns ------- result : TimeSeries - The table with the attached feature column. + The time series with the attached feature column. Raises ------ @@ -345,7 +323,7 @@ def add_columns(self, columns: list[Column] | Table) -> TimeSeries: """ Return a new `TimeSeries` with multiple added columns, as neither target nor feature columns. - The original table is not modified. + The original time series is not modified. Parameters ---------- @@ -360,9 +338,9 @@ def add_columns(self, columns: list[Column] | Table) -> TimeSeries: Raises ------ DuplicateColumnNameError - If at least one column name from the provided column list already exists in the table. + If at least one column name from the provided column list already exists in the time series. ColumnSizeError - If at least one of the column sizes from the provided column list does not match the table. + If at least one of the column sizes from the provided column list does not match the time series. """ return TimeSeries._from_tagged_table( super().add_columns(columns), @@ -373,7 +351,7 @@ def add_row(self, row: Row) -> TimeSeries: """ Return a new `TimeSeries` with an extra Row attached. - The original table is not modified. + The original time series is not modified. Parameters ---------- @@ -388,7 +366,7 @@ def add_row(self, row: Row) -> TimeSeries: Raises ------ UnknownColumnNameError - If the row has different column names than the table. + If the row has different column names than the time series. """ return TimeSeries._from_tagged_table(super().add_row(row), time_name=self.time.name) @@ -396,7 +374,7 @@ def add_rows(self, rows: list[Row] | Table) -> TimeSeries: """ Return a new `TimeSeries` with multiple extra Rows attached. - The original table is not modified. + The original time series is not modified. Parameters ---------- @@ -406,12 +384,12 @@ def add_rows(self, rows: list[Row] | Table) -> TimeSeries: Returns ------- result : TimeSeries - A new time series which combines the original table and the given rows. + A new time series which combines the original time series and the given rows. Raises ------ UnknownColumnNameError - If at least one of the rows have different column names than the table. + If at least one of the rows have different column names than the time series. """ return TimeSeries._from_tagged_table(super().add_rows(rows), time_name=self.time.name) @@ -440,7 +418,7 @@ def keep_only_columns(self, column_names: list[str]) -> TimeSeries: """ Return a new `TimeSeries` with only the given column(s). - The original table is not modified. + The original time series is not modified. Parameters ---------- @@ -457,7 +435,7 @@ def keep_only_columns(self, column_names: list[str]) -> TimeSeries: UnknownColumnNameError If any of the given columns does not exist. IllegalSchemaModificationError - If none of the given columns is the target column or any of the feature columns. + If none of the given columns is the target or time column or any of the feature columns. """ if self.target.name not in column_names: raise IllegalSchemaModificationError("Must keep the target column.") @@ -479,9 +457,9 @@ def keep_only_columns(self, column_names: list[str]) -> TimeSeries: def remove_columns(self, column_names: list[str]) -> TimeSeries: """ - Return a new `TimeSeries` with the given column(s) removed from the table. + Return a new `TimeSeries` with the given column(s) removed from the time series. - The original table is not modified. + The original time series is not modified. Parameters ---------- @@ -526,7 +504,7 @@ def remove_columns_with_missing_values(self) -> TimeSeries: """ Return a new `TimeSeries` with every column that misses values removed. - The original table is not modified. + The original time series is not modified. Returns ------- @@ -561,7 +539,7 @@ def remove_columns_with_non_numerical_values(self) -> TimeSeries: """ Return a new `TimeSeries` with every column that contains non-numerical values removed. - The original table is not modified. + The original time series is not modified. Returns ------- @@ -665,9 +643,9 @@ def rename_column(self, old_name: str, new_name: str) -> TimeSeries: Parameters ---------- old_name : str - The old name of the target column. + The old name of the column. new_name : str - The new name of the target column. + The new name of the column. Returns ------- @@ -705,7 +683,7 @@ def replace_column(self, old_column_name: str, new_columns: list[Column]) -> Tim becomes the new target or time column. If the column to be replaced is a feature column, the new columns that replace it all become feature columns. - The order of columns is kept. The original table is not modified. + The order of columns is kept. The original time series is not modified. Parameters ---------- @@ -717,7 +695,7 @@ def replace_column(self, old_column_name: str, new_columns: list[Column]) -> Tim Returns ------- result : TimeSeries - A time series with the old column replaced by the new column. + A time series with the old column replaced by the new columns. Raises ------ @@ -728,7 +706,7 @@ def replace_column(self, old_column_name: str, new_columns: list[Column]) -> Tim ColumnSizeError If the size of the column does not match the amount of rows. IllegalSchemaModificationError - If the target column would be removed or replaced by more than one column. + If the target or time column would be removed or replaced by more than one column. """ if old_column_name == self.time.name: if len(new_columns) != 1: @@ -830,7 +808,7 @@ def sort_columns( If no comparator is given, the columns will be sorted alphabetically by their name. - The original table is not modified. + The original time series is not modified. Parameters ---------- From 2a4cee33d9606eb964404629766e8d9862a7070b Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Wed, 24 Jan 2024 21:55:33 +0100 Subject: [PATCH 52/65] applied review changes --- src/safeds/data/tabular/containers/_table.py | 4 ++-- .../data/tabular/containers/_time_series.py | 17 ++++++++++++++--- 2 files changed, 16 insertions(+), 5 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index 42164cbf8..ea38fee7a 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -1716,7 +1716,7 @@ def tag_columns(self, target_name: str, feature_names: list[str] | None = None) return TaggedTable._from_table(self, target_name, feature_names) - # rethink name here + def time_columns(self, target_name: str, time_name: str, feature_names: list[str] | None = None) -> TimeSeries: """ Return a new `TimeSeries` with columns marked as a target and time column or feature columns. @@ -1742,7 +1742,7 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str ValueError If the target column is also a feature column. ValueError - If no feature columns are specified. + If there is no other column than the specified target and time columns left to be a feature column Examples -------- diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 20c863e64..a9007d38d 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -7,6 +7,7 @@ ColumnIsTargetError, ColumnIsTimeError, IllegalSchemaModificationError, + UnknownColumnNameError, ) if TYPE_CHECKING: @@ -38,6 +39,9 @@ class TimeSeries(TaggedTable): If the target column is also a feature column. ValueError If no feature columns are specified. + ValueError + If time column is also a feature column + """ # ------------------------------------------------------------------------------------------------------------------ @@ -67,6 +71,8 @@ def _from_tagged_table( If time_name matches none of the column names. Value Error If no feature columns are specified + Value Error + If time name is in features Examples -------- @@ -122,7 +128,9 @@ def _from_table_to_time_series( UnknownColumnNameError If target_name or time_name matches none of the column names. Value Error - If no feature columns are specified + If there is no other column than the specified target and time columns left to be a feature column + Value Error + If one column is target and feature Examples -------- @@ -173,6 +181,10 @@ def __init__( If the target column is also a feature column. ValueError If no feature columns are specified. + ValueError + If time column is also a feature column + UnknownColumnNameError + If time column does not exist Examples -------- @@ -181,7 +193,6 @@ def __init__( """ _data = Table(data) - # time sollte nicht in feature names sein auch wenn feature_names none ist if feature_names is None: feature_names = _data.column_names if time_name in feature_names: @@ -194,7 +205,7 @@ def __init__( if time_name in feature_names: raise ValueError(f"Column '{time_name}' can not be time and feature column.") if time_name not in (_data.column_names): - raise ValueError(f"Column '{time_name}' must exist in the table.") + raise UnknownColumnNameError(f"Column '{time_name}' must exist in the table.") self._time: Column = _data.get_column(time_name) # ------------------------------------------------------------------------------------------------------------------ From 313f48405f8f4617d0bb4f14c96b70f457f5062a Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Wed, 24 Jan 2024 23:32:43 +0100 Subject: [PATCH 53/65] fixed tests --- src/safeds/data/tabular/containers/_table.py | 1 + src/safeds/data/tabular/containers/_time_series.py | 4 ++-- src/safeds/exceptions/_data.py | 2 +- .../containers/_table/_tagged_table/_time_series/test_init.py | 4 ++-- 4 files changed, 6 insertions(+), 5 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index ea38fee7a..e1d3e50f0 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -1750,6 +1750,7 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str >>> table = Table.from_dict({"time": ["01.01", "01.02", "01.03"], "price": [1.10, 1.19, 1.79], "amount_bought": [74, 72, 51]}) >>> tagged_table = table.time_columns(target_name="amount_bought",time_name = "time", feature_names=["price"]) """ + from ._time_series import TimeSeries return TimeSeries._from_table_to_time_series(self, target_name, time_name, feature_names) def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Table: diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index a9007d38d..75f1fed69 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -15,7 +15,7 @@ from typing import Any -class TimeSeries(TaggedTable): +class TimeSeries(TaggedTable): """A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as a feature. A Time Column should never be a feature. @@ -205,7 +205,7 @@ def __init__( if time_name in feature_names: raise ValueError(f"Column '{time_name}' can not be time and feature column.") if time_name not in (_data.column_names): - raise UnknownColumnNameError(f"Column '{time_name}' must exist in the table.") + raise UnknownColumnNameError([time_name]) self._time: Column = _data.get_column(time_name) # ------------------------------------------------------------------------------------------------------------------ diff --git a/src/safeds/exceptions/_data.py b/src/safeds/exceptions/_data.py index a1318d8b7..c097a722c 100644 --- a/src/safeds/exceptions/_data.py +++ b/src/safeds/exceptions/_data.py @@ -6,7 +6,7 @@ from pathlib import Path -class UnknownColumnNameError(KeyError): +class UnknownColumnNameError(KeyError): """ Exception raised for trying to access an invalid column name. diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py index 9fa144a5d..8c7619fcc 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_init.py @@ -84,8 +84,8 @@ "random", "B", ["A"], - ValueError, - r"Column 'random' must exist in the table.", + UnknownColumnNameError, + r"Could not find column\(s\) 'random'.", ), ( { From c9946ea7d68901a860f4c6181ec962a7cd66c16a Mon Sep 17 00:00:00 2001 From: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com> Date: Wed, 24 Jan 2024 22:34:20 +0000 Subject: [PATCH 54/65] style: apply automated linter fixes --- src/safeds/data/tabular/containers/_table.py | 2 +- src/safeds/data/tabular/containers/_time_series.py | 4 +++- src/safeds/exceptions/_data.py | 2 +- 3 files changed, 5 insertions(+), 3 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index e1d3e50f0..a5a855a79 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -1716,7 +1716,6 @@ def tag_columns(self, target_name: str, feature_names: list[str] | None = None) return TaggedTable._from_table(self, target_name, feature_names) - def time_columns(self, target_name: str, time_name: str, feature_names: list[str] | None = None) -> TimeSeries: """ Return a new `TimeSeries` with columns marked as a target and time column or feature columns. @@ -1751,6 +1750,7 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str >>> tagged_table = table.time_columns(target_name="amount_bought",time_name = "time", feature_names=["price"]) """ from ._time_series import TimeSeries + return TimeSeries._from_table_to_time_series(self, target_name, time_name, feature_names) def transform_column(self, name: str, transformer: Callable[[Row], Any]) -> Table: diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 75f1fed69..dc2310e12 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -15,7 +15,7 @@ from typing import Any -class TimeSeries(TaggedTable): +class TimeSeries(TaggedTable): """A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as a feature. A Time Column should never be a feature. @@ -60,6 +60,7 @@ def _from_tagged_table( The tagged table. time_name: str Name of the time column. + Returns ------- time_series : TimeSeries @@ -118,6 +119,7 @@ def _from_table_to_time_series( Name of the date column. feature_names : list[str] | None Names of the feature columns. If None, all columns except the target and time columns are used. + Returns ------- time_series : TimeSeries diff --git a/src/safeds/exceptions/_data.py b/src/safeds/exceptions/_data.py index c097a722c..a1318d8b7 100644 --- a/src/safeds/exceptions/_data.py +++ b/src/safeds/exceptions/_data.py @@ -6,7 +6,7 @@ from pathlib import Path -class UnknownColumnNameError(KeyError): +class UnknownColumnNameError(KeyError): """ Exception raised for trying to access an invalid column name. From a3519465e3cf35930b6e2da512b525649d9b2a89 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Thu, 25 Jan 2024 21:32:14 +0100 Subject: [PATCH 55/65] fixed tests --- .../data/tabular/containers/_time_series.py | 27 ------------------- 1 file changed, 27 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index dc2310e12..dca9a41d6 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -16,33 +16,6 @@ class TimeSeries(TaggedTable): - """A TimeSeries is a tagged table that additionally knows which column is the time column and uses the target column as a feature. - - A Time Column should never be a feature. - ---------- - data : Mapping[str, Sequence[Any]] - The data. - target_name : str - Name of the target column. - feature_names : list[str] | None - Names of the feature columns. If None, all columns except the target column are used. - - time_name : str - Name of the time column. - - Raises - ------ - ------ - ColumnLengthMismatchError - If columns have different lengths. - ValueError - If the target column is also a feature column. - ValueError - If no feature columns are specified. - ValueError - If time column is also a feature column - - """ # ------------------------------------------------------------------------------------------------------------------ # Creation From c441414421a7f7785c83ec79613696bebd185d9d Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Thu, 25 Jan 2024 21:32:46 +0100 Subject: [PATCH 56/65] applied review changes --- src/safeds/data/tabular/containers/_time_series.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index dca9a41d6..0c802a64a 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -17,6 +17,7 @@ class TimeSeries(TaggedTable): + # ------------------------------------------------------------------------------------------------------------------ # Creation # ------------------------------------------------------------------------------------------------------------------ From c9705d0ca39eedd15adde86ea5ba97a963b200b5 Mon Sep 17 00:00:00 2001 From: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com> Date: Thu, 25 Jan 2024 20:34:22 +0000 Subject: [PATCH 57/65] style: apply automated linter fixes --- src/safeds/data/tabular/containers/_time_series.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 0c802a64a..dca9a41d6 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -17,7 +17,6 @@ class TimeSeries(TaggedTable): - # ------------------------------------------------------------------------------------------------------------------ # Creation # ------------------------------------------------------------------------------------------------------------------ From 2f35452d6337f83b82128be6e2c9ca1d5bfa7060 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 <113539440+Gerhardsa0@users.noreply.github.com> Date: Fri, 26 Jan 2024 10:50:35 +0100 Subject: [PATCH 58/65] Update src/safeds/data/tabular/containers/_time_series.py Co-authored-by: Alexander <47296670+Marsmaennchen221@users.noreply.github.com> --- src/safeds/data/tabular/containers/_time_series.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index dca9a41d6..640f0a5eb 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -46,7 +46,7 @@ def _from_tagged_table( Value Error If no feature columns are specified Value Error - If time name is in features + If time column is also a feature column Examples -------- From 9f85a12e4fb4d3fdf3e8c52f62ff8c55c5e53ada Mon Sep 17 00:00:00 2001 From: Gerhardsa0 <113539440+Gerhardsa0@users.noreply.github.com> Date: Fri, 26 Jan 2024 10:54:45 +0100 Subject: [PATCH 59/65] Update src/safeds/data/tabular/containers/_time_series.py Co-authored-by: Alexander <47296670+Marsmaennchen221@users.noreply.github.com> --- src/safeds/data/tabular/containers/_time_series.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 640f0a5eb..0ab732858 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -43,8 +43,6 @@ def _from_tagged_table( ------ UnknownColumnNameError If time_name matches none of the column names. - Value Error - If no feature columns are specified Value Error If time column is also a feature column From 066f534140662dcaed9490eefa26661a1bf7c233 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Fri, 26 Jan 2024 11:48:28 +0100 Subject: [PATCH 60/65] applied review changes --- src/safeds/data/tabular/containers/_table.py | 2 +- .../data/tabular/containers/_time_series.py | 6 +++++- .../test_from_table_to_time_series.py | 19 ++++++++++++++++++- .../_time_series/test_from_tagged_table.py | 4 ++-- 4 files changed, 26 insertions(+), 5 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index a5a855a79..509f2d693 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -1741,7 +1741,7 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str ValueError If the target column is also a feature column. ValueError - If there is no other column than the specified target and time columns left to be a feature column + If theTtre is no other column than the specified target and time columns left to be a feature column Examples -------- diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 0c802a64a..ed0d77377 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -56,7 +56,7 @@ def _from_tagged_table( >>> timeseries = TimeSeries._from_tagged_table(tagged_table, time_name = "date") """ if time_name not in tagged_table.column_names: - raise ValueError(f"Could not find Column '{time_name}'.") + raise UnknownColumnNameError([time_name]) table = tagged_table._as_table() # make sure that the time_name is not part of the features result = object.__new__(TimeSeries) @@ -114,6 +114,10 @@ def _from_table_to_time_series( >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) >>> timeseries = TimeSeries._from_table_to_time_series(table, "t", "date", ["f1"]) """ + if feature_names is not None: + if time_name in feature_names: + raise ValueError(f"Column '{time_name}' can not be time and feature column.") + if feature_names is None: feature_names = table.column_names if time_name in feature_names: diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py index 15513766e..cbb269a2b 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py @@ -96,8 +96,24 @@ "T", "time", ["A", "B", "C"], + UnknownColumnNameError, + r"Could not find column\(s\) 'time'", + ), + ( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "A", + ["A", "B", "C"], ValueError, - r"Could not find Column 'time'.", + r"Column 'A' can not be time and feature column." ), ], ids=[ @@ -107,6 +123,7 @@ "features_are_empty-explicitly", "features_are_empty_implicitly", "time_does_not_exist", + "time_is_also_feature", ], ) def test_should_raise_error( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index 189c1ee86..8a1814822 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -99,8 +99,8 @@ "T", "time", ["A", "B", "C"], - ValueError, - r"Could not find Column 'time'.", + UnknownColumnNameError, + r"Could not find column\(s\) 'time'", ), ], ids=[ From f7a7435ff6c8f6b002cff57fbee8acb940bd8bba Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Fri, 26 Jan 2024 11:50:52 +0100 Subject: [PATCH 61/65] applied review changes fixed from_table_to_time_series function and updated the test --- src/safeds/data/tabular/containers/_table.py | 2 +- .../data/tabular/containers/_time_series.py | 6 +----- .../test_from_table_to_time_series.py | 19 +------------------ .../_time_series/test_from_tagged_table.py | 4 ++-- 4 files changed, 5 insertions(+), 26 deletions(-) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index 509f2d693..a5a855a79 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -1741,7 +1741,7 @@ def time_columns(self, target_name: str, time_name: str, feature_names: list[str ValueError If the target column is also a feature column. ValueError - If theTtre is no other column than the specified target and time columns left to be a feature column + If there is no other column than the specified target and time columns left to be a feature column Examples -------- diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index ed0d77377..0c802a64a 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -56,7 +56,7 @@ def _from_tagged_table( >>> timeseries = TimeSeries._from_tagged_table(tagged_table, time_name = "date") """ if time_name not in tagged_table.column_names: - raise UnknownColumnNameError([time_name]) + raise ValueError(f"Could not find Column '{time_name}'.") table = tagged_table._as_table() # make sure that the time_name is not part of the features result = object.__new__(TimeSeries) @@ -114,10 +114,6 @@ def _from_table_to_time_series( >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) >>> timeseries = TimeSeries._from_table_to_time_series(table, "t", "date", ["f1"]) """ - if feature_names is not None: - if time_name in feature_names: - raise ValueError(f"Column '{time_name}' can not be time and feature column.") - if feature_names is None: feature_names = table.column_names if time_name in feature_names: diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py index cbb269a2b..15513766e 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py @@ -96,24 +96,8 @@ "T", "time", ["A", "B", "C"], - UnknownColumnNameError, - r"Could not find column\(s\) 'time'", - ), - ( - Table( - { - "time": [0, 1], - "A": [1, 4], - "B": [2, 5], - "C": [3, 6], - "T": [0, 1], - }, - ), - "T", - "A", - ["A", "B", "C"], ValueError, - r"Column 'A' can not be time and feature column." + r"Could not find Column 'time'.", ), ], ids=[ @@ -123,7 +107,6 @@ "features_are_empty-explicitly", "features_are_empty_implicitly", "time_does_not_exist", - "time_is_also_feature", ], ) def test_should_raise_error( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index 8a1814822..189c1ee86 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -99,8 +99,8 @@ "T", "time", ["A", "B", "C"], - UnknownColumnNameError, - r"Could not find column\(s\) 'time'", + ValueError, + r"Could not find Column 'time'.", ), ], ids=[ From 5d4fd98cba44eb4e01c9e59213744d96586c6128 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Fri, 26 Jan 2024 12:22:51 +0100 Subject: [PATCH 62/65] applied review changes --- .../data/tabular/containers/_time_series.py | 8 +++++++- .../test_from_table_to_time_series.py | 19 ++++++++++++++++++- .../_time_series/test_from_tagged_table.py | 4 ++-- 3 files changed, 27 insertions(+), 4 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 0ab732858..9e9f169b7 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -53,7 +53,7 @@ def _from_tagged_table( >>> timeseries = TimeSeries._from_tagged_table(tagged_table, time_name = "date") """ if time_name not in tagged_table.column_names: - raise ValueError(f"Could not find Column '{time_name}'.") + raise UnknownColumnNameError([time_name]) table = tagged_table._as_table() # make sure that the time_name is not part of the features result = object.__new__(TimeSeries) @@ -104,6 +104,8 @@ def _from_table_to_time_series( If there is no other column than the specified target and time columns left to be a feature column Value Error If one column is target and feature + Value Error + If time column is also feature column Examples -------- @@ -111,6 +113,10 @@ def _from_table_to_time_series( >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) >>> timeseries = TimeSeries._from_table_to_time_series(table, "t", "date", ["f1"]) """ + if feature_names is not None: + if time_name in feature_names: + raise ValueError(f"Column '{time_name}' can not be time and feature column.") + if feature_names is None: feature_names = table.column_names if time_name in feature_names: diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py index 15513766e..f79e004d1 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py @@ -96,8 +96,24 @@ "T", "time", ["A", "B", "C"], + UnknownColumnNameError, + r"Could not find column\(s\) 'time'", + ), +( + Table( + { + "time": [0, 1], + "A": [1, 4], + "B": [2, 5], + "C": [3, 6], + "T": [0, 1], + }, + ), + "T", + "A", + ["A", "B", "C"], ValueError, - r"Could not find Column 'time'.", + r"Column 'A' can not be time and feature column." ), ], ids=[ @@ -107,6 +123,7 @@ "features_are_empty-explicitly", "features_are_empty_implicitly", "time_does_not_exist", + "time_is_also_feature", ], ) def test_should_raise_error( diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py index 189c1ee86..8a1814822 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_tagged_table.py @@ -99,8 +99,8 @@ "T", "time", ["A", "B", "C"], - ValueError, - r"Could not find Column 'time'.", + UnknownColumnNameError, + r"Could not find column\(s\) 'time'", ), ], ids=[ From aa264c6a1cf330f2ada62c3057e21ae04706c297 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 Date: Fri, 26 Jan 2024 12:27:41 +0100 Subject: [PATCH 63/65] fixed linter error --- src/safeds/data/tabular/containers/_time_series.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index 9e9f169b7..bd7ff0d8f 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -113,9 +113,8 @@ def _from_table_to_time_series( >>> table = Table({"date": ["01.01", "01.02", "01.03", "01.04"], "f1": ["a", "b", "c", "a"], "t": [1,2,3,4]}) >>> timeseries = TimeSeries._from_table_to_time_series(table, "t", "date", ["f1"]) """ - if feature_names is not None: - if time_name in feature_names: - raise ValueError(f"Column '{time_name}' can not be time and feature column.") + if feature_names is not None and time_name in feature_names: + raise ValueError(f"Column '{time_name}' can not be time and feature column.") if feature_names is None: feature_names = table.column_names From cb9a008d9e977e093394d1d50791c8283297030e Mon Sep 17 00:00:00 2001 From: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com> Date: Fri, 26 Jan 2024 11:29:16 +0000 Subject: [PATCH 64/65] style: apply automated linter fixes --- .../_time_series/test_from_table_to_time_series.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py index f79e004d1..73e9f602b 100644 --- a/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py +++ b/tests/safeds/data/tabular/containers/_table/_tagged_table/_time_series/test_from_table_to_time_series.py @@ -99,7 +99,7 @@ UnknownColumnNameError, r"Could not find column\(s\) 'time'", ), -( + ( Table( { "time": [0, 1], @@ -113,7 +113,7 @@ "A", ["A", "B", "C"], ValueError, - r"Column 'A' can not be time and feature column." + r"Column 'A' can not be time and feature column.", ), ], ids=[ From 415aebd41fd476e413a3a0cf058d11fa72f38511 Mon Sep 17 00:00:00 2001 From: Gerhardsa0 <113539440+Gerhardsa0@users.noreply.github.com> Date: Mon, 29 Jan 2024 13:55:40 +0100 Subject: [PATCH 65/65] Update src/safeds/data/tabular/containers/_time_series.py Co-authored-by: Alexander <47296670+Marsmaennchen221@users.noreply.github.com> --- src/safeds/data/tabular/containers/_time_series.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/safeds/data/tabular/containers/_time_series.py b/src/safeds/data/tabular/containers/_time_series.py index bd7ff0d8f..7f18b5475 100644 --- a/src/safeds/data/tabular/containers/_time_series.py +++ b/src/safeds/data/tabular/containers/_time_series.py @@ -105,7 +105,7 @@ def _from_table_to_time_series( Value Error If one column is target and feature Value Error - If time column is also feature column + If one column is time and feature Examples --------