v0.33.0: Introducing pandera CLI, support pyarrow table

[cosmicBboy]

What's Changed

• Report all missing required columns in lazy validation by @vineethsaivs in Report all missing required columns in lazy validation #2397
• fix(pandas): report differing categories in dtype mismatch error by @sha-sta in fix(pandas): report differing categories in dtype mismatch error #2391
• fix(pandas-engine): treat an Enum annotation as a categorical dtype (TypeError: dtype '<enum 'Status'>' not understood #2052) by @cycsmail in fix(pandas-engine): treat an Enum annotation as a categorical dtype (#2052) #2399
• fix(pandas): run column parsers before dataframe-level coercion by @sha-sta in fix(pandas): run column parsers before dataframe-level coercion #2400
• fix(pandas): treat NA as coercible for masked nullable dtypes by @sha-sta in fix(pandas): treat NA as coercible for masked nullable dtypes #2404
• Fix parenthesized @dataframe_parser() decorator form by @vineethsaivs in Fix parenthesized @dataframe_parser() decorator form #2408
• fix(polars): avoid concat deprecation in lazy validation by @RedZapdos123 in fix(polars): avoid concat deprecation in lazy validation #2411
• fix: Repair coerce and parser options for xarray Datasets by @abaarsma in fix: Repair coerce and parser options for xarray Datasets #2413
• feat(narwhals): support the pandas schema API in the narwhals backend by @cosmicBboy in feat(narwhals): support the pandas schema API in the narwhals backend #2417
• fix(io): deserialize parametrized Decimal dtypes from yaml/json by @cycsmail in fix(io): deserialize parametrized Decimal dtypes from yaml/json #2434
• fix(pandas): apply parsers to Index fields and schema components by @cycsmail in fix(pandas): apply parsers to Index fields and schema components #2435
• feat(pyarrow): add first-class pyarrow.Table schema validation by @sravankumarkunadi in feat(pyarrow): add first-class pyarrow.Table schema validation #2427
• Add a pandera CLI: validate, infer, and generate commands by @cosmicBboy in Add a pandera CLI: validate, infer, and generate commands #2402
• add backend info to the cli by @cosmicBboy in add backend info to the cli #2446
• fix(pandas): respect Optional pydantic fields as nullable in PydanticModel columns (closes Optional fields now required in dataframe when using PydanticModel #2406) by @feiiiiii5 in fix(pandas): respect Optional pydantic fields as nullable in PydanticModel columns (closes #2406) #2429
• doc: Fix "list" type annotation by @VeckoTheGecko in doc: Fix "list" type annotation #2440
• Support itemsize-parameterized numpy dtypes in the pandas engine by @mannemkarthik010 in Support itemsize-parameterized numpy dtypes in the pandas engine #2437
• fix: bind self correctly in check_input when an arg is passed by keyword by @Sanjays2402 in fix: bind self correctly in check_input when an arg is passed by keyword #2428
• fix(polars): raise minimum polars version to 1.20.0 by @fhoehle in fix(polars): raise minimum polars version to 1.20.0 #2412
• docs: fix duplicated "the" typos in Check and Hypothesis docstrings by @maupatel in docs: fix duplicated "the" typos in Check and Hypothesis docstrings #2445
• Add a backend-neutral FieldType[T] typing contract by @Dev-iL in Add a backend-neutral FieldType[T] typing contract #2448
• fix: handle scalar groupby keys in _format_groupby_input by @feiiiiii5 in fix: handle scalar groupby keys in _format_groupby_input #2420
• fix(decorators): support keyword-only / variadic functions in check_input by @feiiiiii5 in fix(decorators): support keyword-only / variadic functions in check_input #2454
• ci: only run unit tests for changed areas by @cosmicBboy in ci: only run unit tests for changed areas #2450
• fix(docs): make intersphinx fetch resilient to transient failures by @cosmicBboy in fix(docs): make intersphinx fetch resilient to transient failures #2452
• fix(docs): scope pyspark JDK24 security-manager opt-in to JDK 24 only by @cosmicBboy in fix(docs): scope pyspark JDK24 security-manager opt-in to JDK 24 only #2451
• fix: respect pydantic serialization aliases by @mameikagou in fix: respect pydantic serialization aliases #2449

New Contributors

• @sha-sta made their first contribution in fix(pandas): report differing categories in dtype mismatch error #2391
• @abaarsma made their first contribution in fix: Repair coerce and parser options for xarray Datasets #2413
• @sravankumarkunadi made their first contribution in feat(pyarrow): add first-class pyarrow.Table schema validation #2427
• @feiiiiii5 made their first contribution in fix(pandas): respect Optional pydantic fields as nullable in PydanticModel columns (closes #2406) #2429
• @VeckoTheGecko made their first contribution in doc: Fix "list" type annotation #2440
• @mannemkarthik010 made their first contribution in Support itemsize-parameterized numpy dtypes in the pandas engine #2437
• @Sanjays2402 made their first contribution in fix: bind self correctly in check_input when an arg is passed by keyword #2428
• @fhoehle made their first contribution in fix(polars): raise minimum polars version to 1.20.0 #2412
• @maupatel made their first contribution in docs: fix duplicated "the" typos in Check and Hypothesis docstrings #2445
• @mameikagou made their first contribution in fix: respect pydantic serialization aliases #2449

Full Changelog: v0.32.1...v0.33.0

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This discussion was created from the release v0.33.0: Introducing `pandera` CLI, support pyarrow table.