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add deprecation warnings for pandas_dtype and PandasDtype enum #547
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Codecov Report
@@ Coverage Diff @@
## dtypes #547 +/- ##
==========================================
- Coverage 97.62% 97.60% -0.02%
==========================================
Files 24 25 +1
Lines 3112 3174 +62
==========================================
+ Hits 3038 3098 +60
- Misses 74 76 +2
Continue to review full report at Codecov.
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cosmicBboy
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Jul 15, 2021
* refactor PandasDtype into class hierarchy supported by engines * refactor DataFrameSchema based on DataType hierarchy * refactor SchemaModel based on DataType hierarchy * revert fix coerce=True and dtype=None should be a noop * apply code style * fix running tests/core with nox * consolidate dtype names * consolidate engine internal naming * disable inherited __init__ with immutable(init=False) * delete duplicated immutable * disambiguate dtype variables * add warning on base pandas_engine, numpy_engine.DataType init * fix pylint, mypy errors * fix DataFrameSchema.dtypes return type * enable CI on dtypes branch * Refactor inference, schema_statistics, strategies and io using the DataType hierarchy (#504) * fix pandas_engine.Interval * fix Timedelta64 registration with pandas_engine.Engine * add DataType helpers * add DataType.continuous attribute * add dtypes.is_numeric * refactor schema_statistics based on DataType hierarchy * refactor schema_inference based on DataType hierarchy * fix numpy_engine.Timedelta64.type * add is_subdtype helper * add Engine.get_registered_dtypes * fix Engine error when registering a base DataType * fix pandas_engine DateTime string alias * clean up test_dtypes * fix test_extensions * refactor strategies based on DataType hierarchy * refactor io based on DataType hierarchy * replace dtypes module by new DataType hierarchy * fix black * delete dtypes_.py * drop legacy pandas and python 3.6 from CI * fix mypy errors * fix ci-docs * fix conda dependencies * fix lint, update noxfile * simplify nox tests, fix test_io * update ci build * update nox * pin nox, handle windows data types * fix windows platform * fix pandas_engine on windows platform * fix test_dtypes on windows platform * force pip on docs CI * test out windows dtype stuff * more messing around with windows * more debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * revert ci * increase cache * testing Co-authored-by: cosmicBboy <niels.bantilan@gmail.com> * Add DataTypes documentation (#536) * delete print statements * pin furo * fix generated docs not removed by nox * re-organize API section * replace aliased pandas_engine data types with their aliases * drop warning when calling Engine.register_dtype without arguments * add data types to api reference doc * add document for DataType refactor * unpin sphinx and drop sphinx_rtd_theme * add xdoctest * ignore prompt when copying example from doc * add doctest builder when running sphinx-build locally * fix dtypes doc examples * fix pandas_engine.DataType.check * fix pylint * remove whitespaces in dtypes doc * Update docs/source/dtypes.rst * Update dtypes.rst * update docs structure * update nox file * force pip on doctests * update test_schemas * fix docs session not overriding html with doctest output Co-authored-by: Niels Bantilan <niels.bantilan@gmail.com> * add deprecation warnings for pandas_dtype and PandasDtype enum (#547) * remove auto-generated docs * add deprecation warnings, support pandas>=1.3.0 * add deprecation warnings for PandasDtype enum * fix sphinx * fix windows * fix windows * add support for pyarrow backed string data type (#548) * add support for pyarrow backed string data type * fix regression for pandas < 1.3.0 * add verbosity to test run * loosen strategies unit tests deadline, exclude windows ci * loosen test_strategies.py tests * use "dev" hypothesis profile for python 3.7 * add pandas==1.2.5 test * fix ci * ci typo * don't install environment.yml on unit tests * install nox in ci * remove environment.yml * update environment in ci Co-authored-by: cosmicBboy <niels.bantilan@gmail.com> Co-authored-by: Jean-Francois Zinque <jzinque@gmail.com>
cosmicBboy
added a commit
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Jul 22, 2021
* refactor PandasDtype into class hierarchy supported by engines * refactor DataFrameSchema based on DataType hierarchy * refactor SchemaModel based on DataType hierarchy * revert fix coerce=True and dtype=None should be a noop * apply code style * fix running tests/core with nox * consolidate dtype names * consolidate engine internal naming * disable inherited __init__ with immutable(init=False) * delete duplicated immutable * disambiguate dtype variables * add warning on base pandas_engine, numpy_engine.DataType init * fix pylint, mypy errors * fix DataFrameSchema.dtypes return type * enable CI on dtypes branch * Refactor inference, schema_statistics, strategies and io using the DataType hierarchy (#504) * fix pandas_engine.Interval * fix Timedelta64 registration with pandas_engine.Engine * add DataType helpers * add DataType.continuous attribute * add dtypes.is_numeric * refactor schema_statistics based on DataType hierarchy * refactor schema_inference based on DataType hierarchy * fix numpy_engine.Timedelta64.type * add is_subdtype helper * add Engine.get_registered_dtypes * fix Engine error when registering a base DataType * fix pandas_engine DateTime string alias * clean up test_dtypes * fix test_extensions * refactor strategies based on DataType hierarchy * refactor io based on DataType hierarchy * replace dtypes module by new DataType hierarchy * fix black * delete dtypes_.py * drop legacy pandas and python 3.6 from CI * fix mypy errors * fix ci-docs * fix conda dependencies * fix lint, update noxfile * simplify nox tests, fix test_io * update ci build * update nox * pin nox, handle windows data types * fix windows platform * fix pandas_engine on windows platform * fix test_dtypes on windows platform * force pip on docs CI * test out windows dtype stuff * more messing around with windows * more debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * revert ci * increase cache * testing Co-authored-by: cosmicBboy <niels.bantilan@gmail.com> * Add DataTypes documentation (#536) * delete print statements * pin furo * fix generated docs not removed by nox * re-organize API section * replace aliased pandas_engine data types with their aliases * drop warning when calling Engine.register_dtype without arguments * add data types to api reference doc * add document for DataType refactor * unpin sphinx and drop sphinx_rtd_theme * add xdoctest * ignore prompt when copying example from doc * add doctest builder when running sphinx-build locally * fix dtypes doc examples * fix pandas_engine.DataType.check * fix pylint * remove whitespaces in dtypes doc * Update docs/source/dtypes.rst * Update dtypes.rst * update docs structure * update nox file * force pip on doctests * update test_schemas * fix docs session not overriding html with doctest output Co-authored-by: Niels Bantilan <niels.bantilan@gmail.com> * add deprecation warnings for pandas_dtype and PandasDtype enum (#547) * remove auto-generated docs * add deprecation warnings, support pandas>=1.3.0 * add deprecation warnings for PandasDtype enum * fix sphinx * fix windows * fix windows * add support for pyarrow backed string data type (#548) * add support for pyarrow backed string data type * fix regression for pandas < 1.3.0 * add verbosity to test run * loosen strategies unit tests deadline, exclude windows ci * loosen test_strategies.py tests * use "dev" hypothesis profile for python 3.7 * add pandas==1.2.5 test * fix ci * ci typo * don't install environment.yml on unit tests * install nox in ci * remove environment.yml * update environment in ci Co-authored-by: cosmicBboy <niels.bantilan@gmail.com> Co-authored-by: Jean-Francois Zinque <jzinque@gmail.com>
cosmicBboy
added a commit
that referenced
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Jul 24, 2021
* Feature/420 (#454) * parse frictionless schema - using frictionless-py for some of the heavy lifting - accept yaml/json/frictionless schema files/objects directly - frictionless becomes a new requirement for io - apply pre-commit formatting updates to other code in pandera.io - add test to validate schema parsing, from yaml and json sources * improve documentation * update docstrings per code review Co-authored-by: Niels Bantilan <niels.bantilan@gmail.com> * add type hints * standardise class properties for easier re-use in future * simplify key check * add missing alternative type * update docstring * align name with Column arg * fix NaN check * fix type assertion * create empty dict if constraints not provided Co-authored-by: Niels Bantilan <niels.bantilan@gmail.com> * decouple pandera and pandas dtypes (#559) * refactor PandasDtype into class hierarchy supported by engines * refactor DataFrameSchema based on DataType hierarchy * refactor SchemaModel based on DataType hierarchy * revert fix coerce=True and dtype=None should be a noop * apply code style * fix running tests/core with nox * consolidate dtype names * consolidate engine internal naming * disable inherited __init__ with immutable(init=False) * delete duplicated immutable * disambiguate dtype variables * add warning on base pandas_engine, numpy_engine.DataType init * fix pylint, mypy errors * fix DataFrameSchema.dtypes return type * enable CI on dtypes branch * Refactor inference, schema_statistics, strategies and io using the DataType hierarchy (#504) * fix pandas_engine.Interval * fix Timedelta64 registration with pandas_engine.Engine * add DataType helpers * add DataType.continuous attribute * add dtypes.is_numeric * refactor schema_statistics based on DataType hierarchy * refactor schema_inference based on DataType hierarchy * fix numpy_engine.Timedelta64.type * add is_subdtype helper * add Engine.get_registered_dtypes * fix Engine error when registering a base DataType * fix pandas_engine DateTime string alias * clean up test_dtypes * fix test_extensions * refactor strategies based on DataType hierarchy * refactor io based on DataType hierarchy * replace dtypes module by new DataType hierarchy * fix black * delete dtypes_.py * drop legacy pandas and python 3.6 from CI * fix mypy errors * fix ci-docs * fix conda dependencies * fix lint, update noxfile * simplify nox tests, fix test_io * update ci build * update nox * pin nox, handle windows data types * fix windows platform * fix pandas_engine on windows platform * fix test_dtypes on windows platform * force pip on docs CI * test out windows dtype stuff * more messing around with windows * more debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * debugging * revert ci * increase cache * testing Co-authored-by: cosmicBboy <niels.bantilan@gmail.com> * Add DataTypes documentation (#536) * delete print statements * pin furo * fix generated docs not removed by nox * re-organize API section * replace aliased pandas_engine data types with their aliases * drop warning when calling Engine.register_dtype without arguments * add data types to api reference doc * add document for DataType refactor * unpin sphinx and drop sphinx_rtd_theme * add xdoctest * ignore prompt when copying example from doc * add doctest builder when running sphinx-build locally * fix dtypes doc examples * fix pandas_engine.DataType.check * fix pylint * remove whitespaces in dtypes doc * Update docs/source/dtypes.rst * Update dtypes.rst * update docs structure * update nox file * force pip on doctests * update test_schemas * fix docs session not overriding html with doctest output Co-authored-by: Niels Bantilan <niels.bantilan@gmail.com> * add deprecation warnings for pandas_dtype and PandasDtype enum (#547) * remove auto-generated docs * add deprecation warnings, support pandas>=1.3.0 * add deprecation warnings for PandasDtype enum * fix sphinx * fix windows * fix windows * add support for pyarrow backed string data type (#548) * add support for pyarrow backed string data type * fix regression for pandas < 1.3.0 * add verbosity to test run * loosen strategies unit tests deadline, exclude windows ci * loosen test_strategies.py tests * use "dev" hypothesis profile for python 3.7 * add pandas==1.2.5 test * fix ci * ci typo * don't install environment.yml on unit tests * install nox in ci * remove environment.yml * update environment in ci Co-authored-by: cosmicBboy <niels.bantilan@gmail.com> Co-authored-by: Jean-Francois Zinque <jzinque@gmail.com> * improve coverage * fix docs * add pandas accessor tests * pin sphinx * fix lint Co-authored-by: Tom Collingwood <38299499+TColl@users.noreply.github.com> Co-authored-by: Jean-Francois Zinque <jzinque@gmail.com>
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