pandera 0.30.1

PyPI https://pypi.org/project/pandera/

Repository https://github.com/pandera-dev/pandera
py.typed

Coverage

%%{init: {"pie": {"textPosition": 0.85}, "theme": "neutral", "themeVariables": {"pieStrokeWidth": "1px"}}}%%
pie title
    "Typed" : 2288
    "Any" : 214
    "Untyped" : 1147

68.6% coverage
62.7% coverage (strict)
3649 typable
- 2288 typed
- 1147 untyped
- 214 Any

Typables

%%{init: {"pie": {"textPosition": 0.85}, "theme": "neutral", "themeVariables": {"pieStrokeWidth": "1px"}}}%%
pie title
    "functions" : 768
    "classes" : 2361
    "other" : 68

235 functions (+3 overloads)
- 533 parameters
350 classes
- 796 methods (+3 overloads)
  - 1507 parameters
- 46 properties
127 modules
- 68 attrs

Modules

Module	Coverage	Coverage (strict)	Typables	Ignores
`pandera._version`	100.0%	100.0%	1	0
`pandera.accessors.dask_accessor`	25.0%	25.0%	12	0
`pandera.accessors.modin_accessor`	0.0%	0.0%	10	0
`pandera.accessors.pandas_accessor`	25.0%	25.0%	12	0
`pandera.accessors.pyspark_sql_accessor`	18.2%	18.2%	22	6
`pandera.api.base.checks`	71.1%	65.8%	38	0
`pandera.api.base.error_handler`	68.2%	63.6%	22	0
`pandera.api.base.model`	71.9%	56.2%	32	0
`pandera.api.base.model_components`	60.6%	51.5%	66	0
`pandera.api.base.model_config`	100.0%	100.0%	5	0
`pandera.api.base.parsers`	69.2%	61.5%	13	0
`pandera.api.base.schema`	32.7%	30.8%	52	0
`pandera.api.base.types`	100.0%	100.0%	3	0
`pandera.api.checks`	64.5%	52.7%	110	0
`pandera.api.dataframe.components`	67.3%	61.8%	55	0
`pandera.api.dataframe.container`	83.3%	80.2%	96	1
`pandera.api.dataframe.model`	75.7%	71.6%	74	1
`pandera.api.dataframe.model_components`	84.2%	73.7%	76	0
`pandera.api.dataframe.model_config`	100.0%	100.0%	21	0
`pandera.api.extensions`	37.5%	37.5%	16	0
`pandera.api.function_dispatch`	0.0%	0.0%	12	0
`pandera.api.hypotheses`	78.9%	78.9%	38	0
`pandera.api.ibis.components`	59.3%	59.3%	27	0
`pandera.api.ibis.container`	76.9%	76.9%	13	1
`pandera.api.ibis.error_handler`	100.0%	100.0%	2	0
`pandera.api.ibis.model`	92.3%	92.3%	13	0
`pandera.api.ibis.types`	100.0%	100.0%	2	0
`pandera.api.pandas.array`	78.9%	78.9%	38	0
`pandera.api.pandas.components`	60.6%	60.6%	66	2
`pandera.api.pandas.container`	92.3%	92.3%	26	1
`pandera.api.pandas.model`	85.0%	80.0%	20	0
`pandera.api.pandas.model_config`	100.0%	100.0%	1	0
`pandera.api.pandas.types`	38.1%	38.1%	21	0
`pandera.api.parsers`	62.5%	56.2%	16	0
`pandera.api.polars.components`	61.0%	61.0%	41	0
`pandera.api.polars.container`	73.7%	73.7%	19	1
`pandera.api.polars.model`	82.4%	82.4%	17	0
`pandera.api.polars.model_config`	100.0%	100.0%	1	0
`pandera.api.polars.types`	100.0%	100.0%	2	0
`pandera.api.polars.utils`	100.0%	100.0%	8	0
`pandera.api.pyspark.column_schema`	65.2%	60.9%	46	0
`pandera.api.pyspark.components`	81.2%	78.1%	32	0
`pandera.api.pyspark.container`	95.8%	95.8%	24	0
`pandera.api.pyspark.model`	80.6%	74.2%	31	1
`pandera.api.pyspark.model_components`	96.7%	70.0%	30	0
`pandera.api.pyspark.model_config`	100.0%	100.0%	15	0
`pandera.api.pyspark.types`	55.6%	55.6%	9	0
`pandera.backends.base`	17.3%	17.3%	81	2
`pandera.backends.base.builtin_checks`	100.0%	28.0%	50	0
`pandera.backends.base.builtin_hypotheses`	75.0%	75.0%	8	0
`pandera.backends.ibis.base`	75.0%	75.0%	12	0
`pandera.backends.ibis.builtin_checks`	100.0%	88.0%	50	0
`pandera.backends.ibis.checks`	63.3%	63.3%	30	0
`pandera.backends.ibis.components`	81.0%	81.0%	21	0
`pandera.backends.ibis.constants`	0.0%	0.0%	0	0
`pandera.backends.ibis.container`	86.8%	86.8%	38	0
`pandera.backends.ibis.register`	0.0%	0.0%	1	0
`pandera.backends.ibis.utils`	0.0%	0.0%	2	0
`pandera.backends.pandas.array`	31.4%	31.4%	51	0
`pandera.backends.pandas.base`	58.3%	58.3%	24	0
`pandera.backends.pandas.builtin_checks`	96.1%	84.3%	51	3
`pandera.backends.pandas.builtin_hypotheses`	100.0%	100.0%	8	0
`pandera.backends.pandas.checks`	36.2%	36.2%	58	0
`pandera.backends.pandas.components`	72.3%	72.3%	94	0
`pandera.backends.pandas.container`	57.7%	57.7%	71	0
`pandera.backends.pandas.error_formatters`	64.3%	57.1%	14	0
`pandera.backends.pandas.hypotheses`	26.5%	23.5%	34	0
`pandera.backends.pandas.parsers`	29.2%	29.2%	24	0
`pandera.backends.pandas.register`	50.0%	50.0%	2	0
`pandera.backends.polars.base`	76.2%	76.2%	21	0
`pandera.backends.polars.builtin_checks`	100.0%	88.0%	50	0
`pandera.backends.polars.checks`	63.0%	63.0%	27	0
`pandera.backends.polars.components`	65.8%	65.8%	38	0
`pandera.backends.polars.container`	68.6%	66.7%	51	0
`pandera.backends.polars.register`	50.0%	50.0%	2	0
`pandera.backends.pyspark.base`	68.8%	68.8%	16	2
`pandera.backends.pyspark.builtin_checks`	97.7%	84.1%	44	0
`pandera.backends.pyspark.checks`	65.4%	65.4%	26	0
`pandera.backends.pyspark.column`	58.1%	58.1%	31	0
`pandera.backends.pyspark.components`	73.3%	73.3%	15	0
`pandera.backends.pyspark.container`	66.7%	66.7%	48	0
`pandera.backends.pyspark.decorators`	25.0%	25.0%	4	0
`pandera.backends.pyspark.error_formatters`	40.0%	40.0%	5	0
`pandera.backends.pyspark.register`	25.0%	25.0%	4	0
`pandera.backends.pyspark.utils`	0.0%	0.0%	2	0
`pandera.backends.utils`	100.0%	100.0%	2	0
`pandera.config`	76.9%	76.9%	13	0
`pandera.constants`	0.0%	0.0%	0	0
`pandera.decorators`	100.0%	100.0%	39	0
`pandera.dtypes`	92.0%	85.1%	87	4
`pandera.engines`	0.0%	0.0%	2	0
`pandera.engines.engine`	77.3%	63.6%	22	0
`pandera.engines.geopandas_engine`	94.7%	84.2%	19	0
`pandera.engines.ibis_engine`	73.0%	67.6%	37	0
`pandera.engines.numpy_engine`	58.2%	50.9%	55	13
`pandera.engines.pandas_engine`	76.3%	67.3%	278	20
`pandera.engines.polars_engine`	83.8%	81.9%	105	1
`pandera.engines.pyarrow_engine`	59.8%	57.6%	92	1
`pandera.engines.pyspark_engine`	68.3%	50.0%	60	34
`pandera.engines.type_aliases`	100.0%	100.0%	2	0
`pandera.engines.utils`	85.7%	57.1%	7	0
`pandera.errors`	6.5%	4.3%	46	0
`pandera.import_utils`	100.0%	100.0%	2	0
`pandera.inspection_utils`	100.0%	100.0%	4	0
`pandera.io.pandas_io`	29.7%	29.7%	37	0
`pandera.mypy`	54.5%	54.5%	22	0
`pandera.pandas`	0.0%	0.0%	0	0
`pandera.pyspark`	0.0%	0.0%	0	0
`pandera.schema_inference.pandas`	83.3%	83.3%	6	0
`pandera.schema_statistics.pandas`	43.8%	43.8%	16	0
`pandera.strategies.base_strategies`	60.0%	60.0%	5	2
`pandera.strategies.pandas_strategies`	85.2%	82.4%	142	0
`pandera.system`	0.0%	0.0%	1	0
`pandera.typing`	0.0%	0.0%	3	0
`pandera.typing.common`	100.0%	94.1%	17	2
`pandera.typing.dask`	0.0%	0.0%	0	1
`pandera.typing.fastapi`	64.7%	29.4%	17	0
`pandera.typing.formats`	100.0%	100.0%	1	0
`pandera.typing.geopandas`	60.0%	40.0%	25	1
`pandera.typing.ibis`	44.4%	22.2%	9	0
`pandera.typing.modin`	0.0%	0.0%	1	0
`pandera.typing.pandas`	53.8%	34.6%	26	3
`pandera.typing.polars`	57.9%	31.6%	19	0
`pandera.typing.pyspark`	0.0%	0.0%	4	1
`pandera.typing.pyspark_sql`	0.0%	0.0%	2	12
`pandera.utils`	80.0%	40.0%	5	0
`pandera.validation_depth`	60.0%	60.0%	5	0

Incomplete Annotations

pandera.accessors.dask_accessor (9 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`PanderaDaskAccessor.init`	2	0
`meth`	`PanderaDaskAccessor.check_schema_type`	2	1
`meth`	`PanderaDaskAccessor.add_schema`	2	0
`meth`	`PanderaDaskDataFrameAccessor.check_schema_type`	2	0
`meth`	`PanderaDaskSeriesAccessor.check_schema_type`	2	0

pandera.accessors.modin_accessor (10 missing, 0 any)

	Symbol	Typable
`func`	`register_dataframe_accessor`	2
`meth`	`CachedAccessor.init`	3
`meth`	`CachedAccessor.get`	3
`func`	`register_series_accessor`	2

pandera.accessors.pandas_accessor (9 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`PanderaSeriesAccessor.check_schema_type`	2	0
`meth`	`PanderaAccessor.init`	2	0
`meth`	`PanderaAccessor.check_schema_type`	2	1
`meth`	`PanderaAccessor.add_schema`	2	0
`meth`	`PanderaDataFrameAccessor.check_schema_type`	2	0

pandera.accessors.pyspark_sql_accessor (18 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`CachedAccessor.init`	3	0
`meth`	`CachedAccessor.get`	3	0
`func`	`register_connect_dataframe_accessor`	2	0
`meth`	`PanderaAccessor.init`	2	0
`meth`	`PanderaAccessor.check_schema_type`	2	1
`meth`	`PanderaAccessor.add_schema`	2	0
`attr`	`logger`	1	0
`func`	`register_dataframe_accessor`	2	0
`meth`	`PanderaDataFrameAccessor.check_schema_type`	2	0

pandera.api.base.checks (11 missing, 2 any)

	Symbol	Typable	Typed	Any
`meth`	`BaseCheck.init`	4	3	0
`meth`	`BaseCheck.register_builtin_check_fn`	2	1	0
`meth`	`BaseCheck.get_builtin_check_fn`	2	1	0
`meth`	`BaseCheck.from_builtin_check_name`	7	4	0
`meth`	`BaseCheck.register_backend`	3	2	0
`meth`	`BaseCheck.get_backend`	2	2	1
`meth`	`BaseCheck._get_check_fn_code`	1	0	0
`attr`	`BaseCheck.name`	1	0	0
`attr`	`BaseCheck.error`	1	0	0
`attr`	`BaseCheck.statistics`	1	0	0
`meth`	`MetaCheck.getattr`	2	2	1

pandera.api.base.error_handler (7 missing, 1 any)

	Symbol	Typable	Typed	Any
`meth`	`ErrorHandler._count_failure_cases`	2	2	1
`meth`	`ErrorHandler.collect_error`	5	4	0
`meth`	`ErrorHandler.collect_errors`	3	2	0
`meth`	`ErrorHandler.summarize`	2	0	0
`meth`	`ErrorHandler.invalid_reason_code`	2	0	0
`func`	`get_error_category`	2	1	0

pandera.api.base.model (9 missing, 5 any)

	Symbol	Typable	Typed	Any
`meth`	`BaseModel.new`	3	1	1
`meth`	`BaseModel.to_schema`	1	1	1
`meth`	`BaseModel.to_yaml`	2	1	0
`meth`	`BaseModel.validate`	8	8	2
`meth`	`BaseModel.strategy`	2	1	0
`meth`	`BaseModel.example`	2	2	1
`meth`	`BaseModel.get_validators`	1	0	0
`meth`	`BaseModel.modify_schema`	2	0	0
`meth`	`MetaModel.repr`	1	0	0
`meth`	`MetaModel.str`	1	0	0

pandera.api.base.model_components (26 missing, 6 any)

	Symbol	Typable	Typed	Any
`meth`	`BaseParserInfo.init`	3	3	1
`attr`	`BaseParserInfo.parser_fn`	1	0	0
`attr`	`BaseParserInfo.parser_kwargs`	1	0	0
`meth`	`BaseFieldInfo.init`	14	14	1
`meth`	`BaseFieldInfo.get`	3	3	1
`meth`	`BaseFieldInfo.str`	1	0	0
`meth`	`BaseFieldInfo.repr`	1	0	0
`meth`	`BaseFieldInfo.hash`	1	0	0
`meth`	`BaseFieldInfo.eq`	2	0	0
`meth`	`BaseFieldInfo.ne`	2	0	0
`meth`	`BaseFieldInfo.set`	3	3	2
`attr`	`BaseFieldInfo.checks`	1	0	0
`attr`	`BaseFieldInfo.parses`	1	0	0
`attr`	`BaseFieldInfo.nullable`	1	0	0
`attr`	`BaseFieldInfo.unique`	1	0	0
`attr`	`BaseFieldInfo.coerce`	1	0	0
`attr`	`BaseFieldInfo.regex`	1	0	0
`attr`	`BaseFieldInfo.alias`	1	0	0
`attr`	`BaseFieldInfo.check_name`	1	0	0
`attr`	`BaseFieldInfo.original_name`	1	0	0
`attr`	`BaseFieldInfo.dtype_kwargs`	1	0	0
`attr`	`BaseFieldInfo.title`	1	0	0
`attr`	`BaseFieldInfo.description`	1	0	0
`attr`	`BaseFieldInfo.default`	1	0	0
`attr`	`BaseFieldInfo.metadata`	1	0	0
`meth`	`BaseCheckInfo.init`	3	2	1
`attr`	`BaseCheckInfo.check_fn`	1	0	0
`attr`	`BaseCheckInfo.check_kwargs`	1	0	0

pandera.api.base.parsers (4 missing, 1 any)

	Symbol	Typable	Typed	Any
`meth`	`BaseParser.init`	2	1	0
`meth`	`BaseParser.register_backend`	3	2	0
`meth`	`BaseParser.get_backend`	2	2	1
`meth`	`BaseParser._get_parser_fn_code`	1	0	0
`attr`	`BaseParser.name`	1	0	0

pandera.api.base.schema (35 missing, 1 any)

	Symbol	Typable	Typed	Any
`meth`	`BaseSchema.init`	10	0	0
`meth`	`BaseSchema.validate`	8	0	0
`meth`	`BaseSchema.coerce_dtype`	2	0	0
`meth`	`BaseSchema.register_backend`	3	2	0
`meth`	`BaseSchema.register_default_backends`	2	1	0
`meth`	`BaseSchema.setstate`	2	0	0
`meth`	`BaseSchema.strategy`	3	2	0
`meth`	`BaseSchema.example`	3	3	1
`prop`	`BaseSchema.properties`	1	0	0
`attr`	`BaseSchema.dtype`	1	0	0
`attr`	`BaseSchema.checks`	1	0	0
`attr`	`BaseSchema.coerce`	1	0	0
`attr`	`BaseSchema.parsers`	1	0	0
`attr`	`BaseSchema.name`	1	0	0
`attr`	`BaseSchema.title`	1	0	0
`attr`	`BaseSchema.description`	1	0	0
`attr`	`BaseSchema.metadata`	1	0	0
`attr`	`BaseSchema.drop_invalid_rows`	1	0	0

pandera.api.checks (39 missing, 13 any)

	Symbol	Typable	Typed	Any
`meth`	`Check.init`	16	15	0
`meth`	`Check.call`	3	3	1
`meth`	`Check.equal_to`	3	2	1
`meth`	`Check.not_equal_to`	3	2	1
`meth`	`Check.greater_than`	3	2	1
`meth`	`Check.greater_than_or_equal_to`	3	2	1
`meth`	`Check.less_than`	3	2	1
`meth`	`Check.less_than_or_equal_to`	3	2	1
`meth`	`Check.in_range`	7	5	0
`meth`	`Check.isin`	4	2	0
`meth`	`Check.notin`	4	2	0
`meth`	`Check.str_matches`	3	2	0
`meth`	`Check.str_contains`	3	2	0
`meth`	`Check.str_startswith`	3	2	0
`meth`	`Check.str_endswith`	3	2	0
`meth`	`Check.str_length`	6	4	0
`meth`	`Check.unique_values_eq`	3	2	0
`meth`	`Check.eq`	3	2	1
`meth`	`Check.ne`	3	2	1
`meth`	`Check.gt`	3	2	1
`meth`	`Check.ge`	3	2	1
`meth`	`Check.lt`	3	2	1
`meth`	`Check.le`	3	2	1
`meth`	`Check.between`	6	5	0
`attr`	`Check.element_wise`	1	0	0
`attr`	`Check.name`	1	0	0
`attr`	`Check.ignore_na`	1	0	0
`attr`	`Check.raise_warning`	1	0	0
`attr`	`Check.n_failure_cases`	1	0	0
`attr`	`Check.title`	1	0	0
`attr`	`Check.description`	1	0	0
`attr`	`Check.determined_by_unique`	1	0	0
`attr`	`Check.groupby`	1	0	0
`attr`	`Check.statistics`	1	0	0
`attr`	`Check.statistics_args`	1	0	0
`attr`	`Check.strategy`	1	0	0

pandera.api.dataframe.components (18 missing, 3 any)

	Symbol	Typable	Typed	Any
`meth`	`ComponentSchema.init`	14	14	1
`meth`	`ComponentSchema._validate_attributes`	1	0	0
`meth`	`ComponentSchema.validate`	8	6	0
`meth`	`ComponentSchema.eq`	2	0	0
`meth`	`ComponentSchema.get_pydantic_core_schema`	3	3	1
`meth`	`ComponentSchema.get_validators`	1	0	0
`meth`	`ComponentSchema._pydantic_validate`	2	2	1
`meth`	`ComponentSchema.update_checks`	2	1	0
`meth`	`ComponentSchema.set_checks`	2	1	0
`meth`	`ComponentSchema.repr`	1	0	0
`prop`	`ComponentSchema._allow_groupby`	1	0	0
`attr`	`ComponentSchema.parsers`	1	0	0
`attr`	`ComponentSchema.checks`	1	0	0
`attr`	`ComponentSchema.nullable`	1	0	0
`attr`	`ComponentSchema.unique`	1	0	0
`attr`	`ComponentSchema.report_duplicates`	1	0	0
`attr`	`ComponentSchema.title`	1	0	0
`attr`	`ComponentSchema.description`	1	0	0
`attr`	`ComponentSchema.default`	1	0	0

pandera.api.dataframe.container (16 missing, 3 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrameSchema.init`	18	17	0
`meth`	`DataFrameSchema._validate_attributes`	1	0	0
`meth`	`DataFrameSchema.get_pydantic_core_schema`	3	3	1
`meth`	`DataFrameSchema.get_validators`	1	0	0
`meth`	`DataFrameSchema._pydantic_validate`	2	2	1
`meth`	`DataFrameSchema.update_column`	3	2	0
`meth`	`DataFrameSchema.update_index`	3	2	0
`meth`	`DataFrameSchema.from_yaml`	2	1	0
`meth`	`DataFrameSchema.from_json`	2	1	0
`meth`	`DataFrameSchema.to_json`	3	2	0
`prop`	`DataFrameSchema.dtype`	2	2	1
`prop`	`DataFrameSchema.unique`	2	1	0
`attr`	`DataFrameSchema.index`	1	0	0
`attr`	`DataFrameSchema.ordered`	1	0	0
`attr`	`DataFrameSchema.report_duplicates`	1	0	0
`attr`	`DataFrameSchema.unique_column_names`	1	0	0
`attr`	`DataFrameSchema.add_missing_columns`	1	0	0
`attr`	`DataFrameSchema.drop_invalid_rows`	1	0	0
`attr`	`DataFrameSchema.metadata`	1	0	0

pandera.api.dataframe.model (18 missing, 3 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrameModel.new`	3	1	0
`meth`	`DataFrameModel.init_subclass`	2	0	0
`meth`	`DataFrameModel.build_schema_`	2	1	0
`meth`	`DataFrameModel.to_yaml`	2	1	0
`meth`	`DataFrameModel.strategy`	2	0	0
`meth`	`DataFrameModel.example`	2	1	0
`meth`	`DataFrameModel._extract_config_options_and_extras`	2	2	1
`meth`	`DataFrameModel.pydantic_validate`	2	2	1
`meth`	`DataFrameModel.to_json_schema`	1	0	0
`meth`	`DataFrameModel.empty`	2	1	0
`meth`	`DataFrameModel.get_pydantic_core_schema`	3	3	1
`meth`	`DataFrameModel.get_pydantic_json_schema`	3	2	0
`meth`	`DataFrameModel.modify_schema`	2	0	0
`meth`	`DataFrameModel.get_validators`	1	0	0
`attr`	`DataFrameModel.schema`	1	0	0
`attr`	`DataFrameModel.checks`	1	0	0
`attr`	`DataFrameModel.root_checks`	1	0	0

pandera.api.dataframe.model_components (12 missing, 8 any)

	Symbol	Typable	Typed	Any
`func`	`parser`	3	1	0
`func`	`Field`	30	30	2
`func`	`check`	4	2	0
`func`	`dataframe_parser`	3	1	0
`func`	`dataframe_check`	3	1	0
`meth`	`FieldInfo._get_schema_properties`	5	5	2
`meth`	`FieldInfo.column_properties`	6	6	1
`meth`	`FieldInfo.index_properties`	4	4	1
`meth`	`FieldParserInfo.init`	5	5	1
`attr`	`FieldParserInfo.fields`	1	0	0
`attr`	`FieldParserInfo.regex`	1	0	0
`meth`	`FieldCheckInfo.init`	5	5	1
`attr`	`FieldCheckInfo.fields`	1	0	0
`attr`	`FieldCheckInfo.regex`	1	0	0

pandera.api.extensions (10 missing, 0 any)

	Symbol	Typable	Typed
`func`	`register_builtin_hypothesis`	2	0
`func`	`register_check_method`	6	3
`func`	`register_builtin_check`	6	3
`func`	`register_check_statistics`	2	0

pandera.api.function_dispatch (12 missing, 0 any)

	Symbol	Typable
`meth`	`Dispatcher.init`	1
`meth`	`Dispatcher.register`	2
`meth`	`Dispatcher.call`	3
`meth`	`Dispatcher.str`	1
`meth`	`Dispatcher.repr`	1
`prop`	`Dispatcher.co_code`	1
`prop`	`Dispatcher.name`	1
`func`	`get_first_arg_type`	2

pandera.api.hypotheses (8 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`Hypothesis.init`	17	16
`meth`	`Hypothesis.two_sample_ttest`	9	8
`meth`	`Hypothesis.one_sample_ttest`	8	6
`attr`	`Hypothesis.test`	1	0
`attr`	`Hypothesis.relationship`	1	0
`attr`	`Hypothesis.relationship_kwargs`	1	0
`attr`	`Hypothesis.samples`	1	0

pandera.api.ibis.components (11 missing, 0 any)

	Symbol	Typable	Typed
`attr`	`logger`	1	0
`meth`	`Column.init`	15	14
`meth`	`Column.register_default_backends`	2	1
`meth`	`Column.set_regex`	1	0
`meth`	`Column.set_name`	2	1
`prop`	`Column.dtype`	2	0
`prop`	`Column.selector`	1	0
`attr`	`Column.required`	1	0
`attr`	`Column.regex`	1	0
`attr`	`Column.name`	1	0

pandera.api.ibis.container (3 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`DataFrameSchema.register_default_backends`	2	1
`meth`	`DataFrameSchema._validate_attributes`	1	0
`meth`	`DataFrameSchema.dtype`	2	1

pandera.api.ibis.model (1 missing, 0 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrameModel.build_schema_`	2	1	0

pandera.api.pandas.array (8 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`SeriesSchema.init`	15	14
`meth`	`SeriesSchema.example`	3	2
`attr`	`SeriesSchema.index`	1	0
`meth`	`ArraySchema._validate_attributes`	1	0
`meth`	`ArraySchema.register_default_backends`	2	1
`meth`	`ArraySchema.strategy`	2	0
`meth`	`ArraySchema.example`	3	2

pandera.api.pandas.components (26 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`Column.set_name`	2	1
`meth`	`Column.get_regex_columns`	2	1
`meth`	`Column.eq`	2	0
`meth`	`Column.strategy`	2	0
`meth`	`Column.strategy_component`	1	0
`meth`	`Column.example`	3	2
`attr`	`Column.required`	1	0
`attr`	`Column.name`	1	0
`attr`	`Column.regex`	1	0
`meth`	`MultiIndex.repr`	1	0
`meth`	`MultiIndex.str`	1	0
`meth`	`MultiIndex.eq`	2	0
`meth`	`MultiIndex.strategy`	2	0
`meth`	`MultiIndex.example`	2	1
`prop`	`MultiIndex.names`	1	0
`prop`	`MultiIndex.coerce`	2	1
`attr`	`MultiIndex.indexes`	1	0
`meth`	`Index.eq`	2	0
`meth`	`Index.strategy`	3	2
`meth`	`Index.strategy_component`	1	0
`prop`	`Index.names`	1	0

pandera.api.pandas.container (2 missing, 0 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrameSchema.register_default_backends`	2	1	0
`meth`	`DataFrameSchema.strategy`	3	2	0

pandera.api.pandas.model (3 missing, 1 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrameModel.build_schema_`	2	1	0
`meth`	`DataFrameModel._build_columns_index`	5	5	1
`meth`	`DataFrameModel.to_json_schema`	1	0	0
`meth`	`DataFrameModel.empty`	2	1	0

pandera.api.pandas.types (13 missing, 0 any)

	Symbol	Typable
`func`	`is_field`	2
`func`	`is_table`	2
`attr`	`PANDAS_LIKE_CLS_NAMES`	1
`func`	`is_bool`	2
`func`	`is_index`	2
`func`	`is_multiindex`	2
`func`	`is_table_or_field`	2

pandera.api.parsers (6 missing, 1 any)

	Symbol	Typable	Typed	Any
`meth`	`Parser.init`	8	7	0
`meth`	`Parser.call`	3	3	1
`attr`	`Parser.element_wise`	1	0	0
`attr`	`Parser.ignore_na`	1	0	0
`attr`	`Parser.name`	1	0	0
`attr`	`Parser.title`	1	0	0
`attr`	`Parser.description`	1	0	0

pandera.api.polars.components (16 missing, 0 any)

	Symbol	Typable	Typed
`attr`	`logger`	1	0
`meth`	`Column.init`	15	14
`meth`	`Column.register_default_backends`	2	1
`meth`	`Column.set_regex`	1	0
`meth`	`Column.set_name`	2	1
`meth`	`Column.strategy`	2	0
`meth`	`Column.strategy_component`	1	0
`meth`	`Column.example`	2	0
`prop`	`Column.dtype`	2	0
`prop`	`Column.selector`	1	0
`attr`	`Column.required`	1	0
`attr`	`Column.regex`	1	0
`attr`	`Column.name`	1	0

pandera.api.polars.container (5 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`DataFrameSchema._validate_attributes`	1	0
`meth`	`DataFrameSchema.register_default_backends`	2	1
`meth`	`DataFrameSchema.dtype`	2	1
`meth`	`DataFrameSchema.strategy`	3	2
`meth`	`DataFrameSchema.example`	3	2

pandera.api.polars.model (3 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`DataFrameModel.build_schema_`	2	1
`meth`	`DataFrameModel.to_json_schema`	1	0
`meth`	`DataFrameModel.empty`	2	1

pandera.api.pyspark.column_schema (16 missing, 2 any)

	Symbol	Typable	Typed	Any
`meth`	`ColumnSchema.init`	9	9	1
`meth`	`ColumnSchema.register_default_backends`	2	1	0
`meth`	`ColumnSchema.validate`	9	7	0
`meth`	`ColumnSchema.call`	8	7	0
`meth`	`ColumnSchema.eq`	2	0	0
`meth`	`ColumnSchema.get_validators`	1	0	0
`meth`	`ColumnSchema._pydantic_validate`	2	2	1
`meth`	`ColumnSchema.update_checks`	2	1	0
`meth`	`ColumnSchema.set_checks`	2	1	0
`meth`	`ColumnSchema.repr`	1	0	0
`meth`	`ColumnSchema.str`	1	0	0
`attr`	`ColumnSchema.checks`	1	0	0
`attr`	`ColumnSchema.nullable`	1	0	0
`attr`	`ColumnSchema.title`	1	0	0
`attr`	`ColumnSchema.description`	1	0	0
`attr`	`ColumnSchema.metadata`	1	0	0

pandera.api.pyspark.components (6 missing, 1 any)

	Symbol	Typable	Typed	Any
`meth`	`Column._validate_attributes`	1	0	0
`meth`	`Column.register_default_backends`	2	1	0
`meth`	`Column.get_regex_columns`	2	2	1
`meth`	`Column.eq`	2	0	0
`attr`	`Column.required`	1	0	0
`attr`	`Column.regex`	1	0	0

pandera.api.pyspark.container (1 missing, 0 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrameSchema.register_default_backends`	2	1	0

pandera.api.pyspark.model (6 missing, 2 any)

	Symbol	Typable	Typed	Any
`func`	`docstring_substitution`	3	3	2
`meth`	`DataFrameModel.new`	3	1	0
`meth`	`DataFrameModel.init_subclass`	2	0	0
`meth`	`DataFrameModel.build_schema_`	2	0	0

pandera.api.pyspark.model_components (1 missing, 8 any)

	Symbol	Typable	Typed	Any
`func`	`Field`	29	28	8

pandera.api.pyspark.types (4 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`is_table`	2	0	0
`func`	`is_bool`	2	0	0

pandera.backends.base (67 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`BaseParserBackend.init`	2	0
`meth`	`BaseParserBackend.call`	3	0
`meth`	`BaseParserBackend.apply`	2	0
`meth`	`BaseCheckBackend.init`	2	0
`meth`	`BaseCheckBackend.call`	3	0
`meth`	`BaseCheckBackend.query`	2	0
`meth`	`BaseCheckBackend.groupby`	2	0
`meth`	`BaseCheckBackend.aggregate`	2	0
`meth`	`BaseCheckBackend.preprocess`	3	0
`meth`	`BaseCheckBackend.postprocess`	3	0
`meth`	`BaseCheckBackend.apply`	2	0
`meth`	`BaseCheckBackend.statistics`	1	0
`meth`	`BaseCheckBackend.strategy`	1	0
`meth`	`BaseSchemaBackend.preprocess`	3	1
`meth`	`BaseSchemaBackend.subsample`	6	4
`meth`	`BaseSchemaBackend.validate`	9	6
`meth`	`BaseSchemaBackend.coerce_dtype`	3	0
`meth`	`BaseSchemaBackend.run_check`	6	1
`meth`	`BaseSchemaBackend.run_checks`	3	0
`meth`	`BaseSchemaBackend.run_schema_component_checks`	5	0
`meth`	`BaseSchemaBackend.check_name`	3	0
`meth`	`BaseSchemaBackend.check_nullable`	3	0
`meth`	`BaseSchemaBackend.check_unique`	3	0
`meth`	`BaseSchemaBackend.check_dtype`	3	0
`meth`	`BaseSchemaBackend.failure_cases_metadata`	3	2
`meth`	`BaseSchemaBackend.drop_invalid_rows`	3	0

pandera.backends.base.builtin_checks (0 missing, 36 any)

	Symbol	Typable	Typed	Any
`func`	`not_equal_to`	3	3	3
`func`	`in_range`	6	6	2
`func`	`isin`	3	3	2
`func`	`unique_values_eq`	3	3	2
`func`	`str_contains`	3	3	2
`func`	`less_than`	3	3	3
`func`	`str_endswith`	3	3	2
`func`	`str_length`	5	5	2
`func`	`greater_than`	3	3	3
`func`	`equal_to`	3	3	3
`func`	`less_than_or_equal_to`	3	3	3
`func`	`str_matches`	3	3	2
`func`	`greater_than_or_equal_to`	3	3	3
`func`	`notin`	3	3	2
`func`	`str_startswith`	3	3	2

pandera.backends.base.builtin_hypotheses (2 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`one_sample_ttest`	4	3	0
`func`	`two_sample_ttest`	4	3	0

pandera.backends.ibis.base (3 missing, 0 any)

	Symbol	Typable	Typed	Any
`meth`	`IbisSchemaBackend.run_check`	6	3	0

pandera.backends.ibis.builtin_checks (0 missing, 6 any)

	Symbol	Typable	Typed	Any
`func`	`not_equal_to`	3	3	1
`func`	`less_than`	3	3	1
`func`	`greater_than`	3	3	1
`func`	`equal_to`	3	3	1
`func`	`less_than_or_equal_to`	3	3	1
`func`	`greater_than_or_equal_to`	3	3	1

pandera.backends.ibis.checks (11 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`IbisCheckBackend.init`	2	1
`meth`	`IbisCheckBackend.groupby`	2	1
`meth`	`IbisCheckBackend.query`	2	1
`meth`	`IbisCheckBackend.aggregate`	2	1
`meth`	`IbisCheckBackend.preprocess`	3	2
`meth`	`IbisCheckBackend.apply`	2	1
`meth`	`IbisCheckBackend.postprocess`	3	0
`attr`	`IbisCheckBackend.check`	1	0
`attr`	`IbisCheckBackend.check_fn`	1	0

pandera.backends.ibis.components (4 missing, 0 any)

	Symbol	Typable	Typed	Any
`meth`	`ColumnBackend.get_regex_columns`	3	1	0
`meth`	`ColumnBackend.run_checks`	3	1	0

pandera.backends.ibis.container (5 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`DataFrameSchemaBackend.validate`	9	8
`meth`	`DataFrameSchemaBackend.run_checks`	3	2
`meth`	`DataFrameSchemaBackend.run_schema_component_checks`	5	4
`meth`	`DataFrameSchemaBackend.collect_schema_components`	4	3
`meth`	`DataFrameSchemaBackend.check_column_names_are_unique`	3	2

pandera.backends.ibis.register (1 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`register_ibis_backends`	1	0	0

pandera.backends.ibis.utils (2 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`select_column`	2	0	0

pandera.backends.pandas.array (35 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`ArraySchemaBackend._is_default_type_compatible`	3	0
`meth`	`ArraySchemaBackend._try_convert_dtype_after_fillna`	4	0
`meth`	`ArraySchemaBackend.preprocess`	3	1
`meth`	`ArraySchemaBackend.validate`	9	6
`meth`	`ArraySchemaBackend.run_checks_and_handle_errors`	5	0
`meth`	`ArraySchemaBackend.coerce_dtype`	3	0
`meth`	`ArraySchemaBackend.run_parsers`	3	0
`meth`	`ArraySchemaBackend.check_name`	3	2
`meth`	`ArraySchemaBackend.check_nullable`	3	2
`meth`	`ArraySchemaBackend.check_unique`	3	2
`meth`	`ArraySchemaBackend.check_dtype`	3	2
`meth`	`ArraySchemaBackend.run_checks`	3	1
`meth`	`ArraySchemaBackend.set_default`	3	0
`meth`	`SeriesSchemaBackend.coerce_dtype`	3	0

pandera.backends.pandas.base (10 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`PandasSchemaBackend.subsample`	6	4
`meth`	`PandasSchemaBackend.run_parser`	5	3
`meth`	`PandasSchemaBackend.run_check`	6	2
`meth`	`PandasSchemaBackend.drop_invalid_rows`	3	1

pandera.backends.pandas.builtin_checks (2 missing, 6 any)

	Symbol	Typable	Typed	Any
`func`	`not_equal_to`	3	3	1
`func`	`less_than`	3	3	1
`func`	`greater_than`	3	3	1
`func`	`in_range`	6	5	0
`func`	`unique_values_eq`	3	2	0
`func`	`equal_to`	3	3	1
`func`	`less_than_or_equal_to`	3	3	1
`func`	`greater_than_or_equal_to`	3	3	1

pandera.backends.pandas.checks (37 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`PandasCheckBackend.init`	2	1
`meth`	`PandasCheckBackend.groupby`	2	1
`meth`	`PandasCheckBackend.query`	2	0
`meth`	`PandasCheckBackend.aggregate`	2	0
`meth`	`PandasCheckBackend.preprocess`	3	1
`meth`	`PandasCheckBackend.preprocess_field`	2	1
`meth`	`PandasCheckBackend.preprocess_table_with_key`	3	1
`meth`	`PandasCheckBackend.preprocess_table`	2	1
`meth`	`PandasCheckBackend.apply`	2	0
`meth`	`PandasCheckBackend.apply_dict`	2	1
`meth`	`PandasCheckBackend.apply_field`	2	0
`meth`	`PandasCheckBackend.apply_table`	2	0
`meth`	`PandasCheckBackend.postprocess`	3	0
`meth`	`PandasCheckBackend.postprocess_bool`	3	1
`meth`	`PandasCheckBackend._get_series_failure_cases`	3	2
`meth`	`PandasCheckBackend.postprocess_field`	3	1
`meth`	`PandasCheckBackend.postprocess_table_with_field_output`	3	1
`meth`	`PandasCheckBackend.postprocess_table`	3	1
`meth`	`PandasCheckBackend.postprocess_table_or_field_with_bool_output`	3	1
`meth`	`PandasCheckBackend.postprocess_dict_with_field_output`	3	1
`attr`	`PandasCheckBackend.check`	1	0
`attr`	`PandasCheckBackend.check_fn`	1	0

pandera.backends.pandas.components (26 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`MultiIndexBackend.coerce_dtype`	3	2
`meth`	`MultiIndexBackend.validate`	9	8
`meth`	`MultiIndexBackend._can_optimize_level`	2	1
`meth`	`MultiIndexBackend._check_determined_by_unique`	2	1
`meth`	`MultiIndexBackend._validate_level_optimized`	5	4
`meth`	`MultiIndexBackend._validate_level_with_full_materialization`	9	8
`meth`	`MultiIndexBackend._check_strict`	5	4
`meth`	`MultiIndexBackend._check_unique`	4	3
`meth`	`MultiIndexBackend._collect_or_raise`	5	3
`meth`	`MultiIndexBackend._validate_index_names`	5	4
`meth`	`MultiIndexBackend._map_ordered_levels`	4	3
`meth`	`MultiIndexBackend._map_schema_to_levels`	4	2
`meth`	`MultiIndexBackend.__coerce_index`	4	0
`meth`	`IndexBackend.validate`	9	8
`meth`	`ColumnBackend.validate`	9	8
`meth`	`ColumnBackend.get_regex_columns`	3	1
`meth`	`ColumnBackend.coerce_dtype`	3	2
`meth`	`ColumnBackend.run_checks`	3	0

pandera.backends.pandas.container (30 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`DataFrameSchemaBackend.preprocess`	3	2
`meth`	`DataFrameSchemaBackend.validate`	9	7
`meth`	`DataFrameSchemaBackend.run_checks_and_handle_errors`	11	2
`meth`	`DataFrameSchemaBackend.run_schema_component_checks`	5	4
`meth`	`DataFrameSchemaBackend.run_checks`	3	2
`meth`	`DataFrameSchemaBackend.collect_column_info`	3	2
`meth`	`DataFrameSchemaBackend.collect_schema_components`	4	2
`meth`	`DataFrameSchemaBackend.add_missing_columns`	4	2
`meth`	`DataFrameSchemaBackend.strict_filter_columns`	4	2
`meth`	`DataFrameSchemaBackend.set_defaults`	3	1
`meth`	`DataFrameSchemaBackend.coerce_dtype`	3	1
`meth`	`DataFrameSchemaBackend._coerce_dtype_helper`	3	2
`meth`	`DataFrameSchemaBackend.run_parsers`	3	2
`meth`	`DataFrameSchemaBackend.check_column_names_are_unique`	3	2
`meth`	`DataFrameSchemaBackend.check_column_presence`	4	3
`meth`	`DataFrameSchemaBackend.check_column_values_are_unique`	3	2

pandera.backends.pandas.error_formatters (5 missing, 1 any)

	Symbol	Typable	Typed	Any
`func`	`consolidate_failure_cases`	2	1	0
`func`	`format_vectorized_error_message`	5	3	1
`func`	`format_generic_error_message`	4	2	0

pandera.backends.pandas.hypotheses (25 missing, 1 any)

	Symbol	Typable	Typed	Any
`func`	`less_than`	4	1	0
`func`	`greater_than`	4	1	0
`meth`	`PandasHypothesisBackend.init`	2	1	0
`meth`	`PandasHypothesisBackend._relationships`	2	1	0
`meth`	`PandasHypothesisBackend._hypothesis_check`	2	0	0
`meth`	`PandasHypothesisBackend.preprocess`	3	1	1
`meth`	`PandasHypothesisBackend.preprocess_table_with_key`	3	1	0
`meth`	`PandasHypothesisBackend.preprocess_table`	2	1	0
`prop`	`PandasHypothesisBackend.is_one_sample_test`	1	0	0
`attr`	`PandasHypothesisBackend.check`	1	0	0
`attr`	`PandasHypothesisBackend.relationship`	1	0	0
`attr`	`PandasHypothesisBackend.check_fn`	1	0	0
`func`	`equal`	4	1	0
`func`	`not_equal`	4	1	0

pandera.backends.pandas.parsers (17 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`PandasParserBackend.init`	2	1
`meth`	`PandasParserBackend.preprocess`	3	1
`meth`	`PandasParserBackend.preprocess_table_with_key`	3	1
`meth`	`PandasParserBackend.preprocess_table`	2	1
`meth`	`PandasParserBackend.apply`	2	0
`meth`	`PandasParserBackend.apply_field`	2	0
`meth`	`PandasParserBackend.apply_table`	2	0
`meth`	`PandasParserBackend.postprocess`	3	1
`meth`	`PandasParserBackend.call`	3	2
`attr`	`PandasParserBackend.parser`	1	0
`attr`	`PandasParserBackend.parser_fn`	1	0

pandera.backends.pandas.register (1 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`register_pandas_backends`	2	1	0

pandera.backends.polars.base (5 missing, 0 any)

	Symbol	Typable	Typed	Any
`meth`	`PolarsSchemaBackend.run_check`	6	3	0
`func`	`is_float_dtype`	3	1	0

pandera.backends.polars.builtin_checks (0 missing, 6 any)

	Symbol	Typable	Typed	Any
`func`	`not_equal_to`	3	3	1
`func`	`less_than`	3	3	1
`func`	`greater_than`	3	3	1
`func`	`equal_to`	3	3	1
`func`	`less_than_or_equal_to`	3	3	1
`func`	`greater_than_or_equal_to`	3	3	1

pandera.backends.polars.checks (10 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`PolarsCheckBackend.init`	2	1
`meth`	`PolarsCheckBackend.query`	2	1
`meth`	`PolarsCheckBackend.aggregate`	2	1
`meth`	`PolarsCheckBackend.preprocess`	3	2
`meth`	`PolarsCheckBackend.apply`	2	1
`meth`	`PolarsCheckBackend.postprocess`	3	0
`attr`	`PolarsCheckBackend.check`	1	0
`attr`	`PolarsCheckBackend.check_fn`	1	0

pandera.backends.polars.components (13 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`ColumnBackend.preprocess`	3	1
`meth`	`ColumnBackend.get_regex_columns`	3	1
`meth`	`ColumnBackend.run_checks_and_handle_errors`	5	2
`meth`	`ColumnBackend.coerce_dtype`	3	2
`meth`	`ColumnBackend.check_nullable`	3	2
`meth`	`ColumnBackend.check_unique`	3	2
`meth`	`ColumnBackend.run_checks`	3	1
`meth`	`ColumnBackend.set_default`	3	2

pandera.backends.polars.container (16 missing, 1 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrameSchemaBackend.run_checks`	3	2	0
`meth`	`DataFrameSchemaBackend.run_schema_component_checks`	5	4	0
`meth`	`DataFrameSchemaBackend.collect_column_info`	3	1	0
`meth`	`DataFrameSchemaBackend.collect_schema_components`	4	2	0
`meth`	`DataFrameSchemaBackend.add_missing_columns`	4	2	0
`meth`	`DataFrameSchemaBackend.strict_filter_columns`	4	3	0
`meth`	`DataFrameSchemaBackend.coerce_dtype`	3	1	0
`meth`	`DataFrameSchemaBackend._coerce_dtype_helper`	3	2	0
`meth`	`DataFrameSchemaBackend.set_default`	3	2	0
`meth`	`DataFrameSchemaBackend.check_column_names_are_unique`	3	2	0
`meth`	`DataFrameSchemaBackend.check_column_presence`	4	3	1
`meth`	`DataFrameSchemaBackend.check_column_values_are_unique`	3	2	0

pandera.backends.polars.register (1 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`register_polars_backends`	2	1	0

pandera.backends.pyspark.base (5 missing, 0 any)

	Symbol	Typable	Typed	Any
`meth`	`PysparkSchemaBackend.subsample`	6	5	0
`meth`	`PysparkSchemaBackend.run_check`	6	2	0

pandera.backends.pyspark.builtin_checks (1 missing, 6 any)

	Symbol	Typable	Typed	Any
`func`	`not_equal_to`	3	3	1
`func`	`in_range`	6	5	0
`func`	`less_than`	3	3	1
`func`	`greater_than`	3	3	1
`func`	`equal_to`	3	3	1
`func`	`less_than_or_equal_to`	3	3	1
`func`	`greater_than_or_equal_to`	3	3	1

pandera.backends.pyspark.checks (9 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`PySparkCheckBackend.init`	2	1
`meth`	`PySparkCheckBackend.groupby`	2	1
`meth`	`PySparkCheckBackend.query`	2	0
`meth`	`PySparkCheckBackend.aggregate`	2	0
`meth`	`PySparkCheckBackend.apply`	4	3
`attr`	`PySparkCheckBackend.check`	1	0
`attr`	`PySparkCheckBackend.check_fn`	1	0

pandera.backends.pyspark.column (13 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`ColumnSchemaBackend.preprocess`	3	1
`meth`	`ColumnSchemaBackend._core_checks`	4	2
`meth`	`ColumnSchemaBackend.validate`	9	6
`meth`	`ColumnSchemaBackend.coerce_dtype`	3	2
`meth`	`ColumnSchemaBackend.check_nullable`	3	2
`meth`	`ColumnSchemaBackend.check_name`	3	2
`meth`	`ColumnSchemaBackend.check_dtype`	3	2
`meth`	`ColumnSchemaBackend.run_checks`	3	1

pandera.backends.pyspark.components (4 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`ColumnBackend.validate`	9	8
`meth`	`ColumnBackend.get_regex_columns`	3	1
`meth`	`ColumnBackend.coerce_dtype`	3	2

pandera.backends.pyspark.container (16 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`DataFrameSchemaBackend.preprocess`	3	2
`meth`	`DataFrameSchemaBackend.validate`	9	7
`meth`	`DataFrameSchemaBackend.run_schema_component_checks`	5	4
`meth`	`DataFrameSchemaBackend.run_checks`	3	2
`meth`	`DataFrameSchemaBackend.collect_column_info`	4	3
`meth`	`DataFrameSchemaBackend.collect_schema_components`	4	2
`meth`	`DataFrameSchemaBackend.strict_filter_columns`	4	2
`meth`	`DataFrameSchemaBackend.coerce_dtype`	3	1
`meth`	`DataFrameSchemaBackend._coerce_dtype`	3	2
`meth`	`DataFrameSchemaBackend.check_column_values_are_unique`	3	2
`meth`	`DataFrameSchemaBackend.check_column_names_are_unique`	3	2
`meth`	`DataFrameSchemaBackend.check_column_presence`	4	3

pandera.backends.pyspark.decorators (3 missing, 0 any)

	Symbol	Typable	Typed
`attr`	`logger`	1	0
`func`	`cache_check_obj`	1	0
`func`	`register_input_datatypes`	2	1

pandera.backends.pyspark.error_formatters (3 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`scalar_failure_case`	2	1	0
`func`	`format_generic_error_message`	3	1	0

pandera.backends.pyspark.register (3 missing, 0 any)

	Symbol	Typable	Typed
`attr`	`CURRENT_PYSPARK_VERSION`	1	0
`func`	`register_pyspark_backends`	2	1
`attr`	`PYSPARK_CONNECT_AVAILABLE`	1	0

pandera.backends.pyspark.utils (2 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`convert_to_list`	2	0	0

pandera.config (3 missing, 0 any)

	Symbol	Typable	Typed
`func`	`reset_config_context`	2	1
`func`	`config_context`	5	4
`attr`	`CONFIG`	1	0

pandera.dtypes (7 missing, 6 any)

	Symbol	Typable	Typed	Any
`meth`	`Category.init`	3	2	0
`func`	`immutable`	3	3	1
`meth`	`DataType.init`	1	0	0
`meth`	`DataType.coerce`	2	1	1
`meth`	`DataType.coerce_value`	2	1	1
`meth`	`DataType.try_coerce`	2	1	1
`meth`	`DataType.call`	2	1	1
`attr`	`DataType.type`	1	1	1
`meth`	`Decimal.init`	4	3	0

pandera.engines (2 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`pydantic_version`	1	0	0
`attr`	`PYDANTIC_V2`	1	0	0

pandera.engines.engine (5 missing, 3 any)

	Symbol	Typable	Typed	Any
`meth`	`Engine.new`	5	0	0
`meth`	`Engine._check_source_dtype`	2	2	1
`meth`	`Engine._register_equivalents`	3	3	1
`meth`	`Engine.dtype`	2	2	1

pandera.engines.geopandas_engine (1 missing, 2 any)

	Symbol	Typable	Typed	Any
`meth`	`Geometry._coerce_element`	2	2	2
`attr`	`Geometry.type`	1	0	0

pandera.engines.ibis_engine (10 missing, 2 any)

	Symbol	Typable	Typed	Any
`meth`	`DateTime.init`	3	2	0
`meth`	`DateTime.from_parametrized_dtype`	2	1	0
`meth`	`Map.init`	3	2	0
`meth`	`Map.from_parametrized_dtype`	2	1	0
`meth`	`Engine.dtype`	2	2	1
`meth`	`Timedelta.init`	2	1	0
`meth`	`Timedelta.from_parametrized_dtype`	2	1	0
`meth`	`DataType.init`	2	1	0
`meth`	`DataType.post_init`	1	0	0
`attr`	`DataType.type`	1	1	1
`meth`	`Decimal.init`	3	2	0
`meth`	`Decimal.from_parametrized_dtype`	2	1	0

pandera.engines.numpy_engine (23 missing, 4 any)

	Symbol	Typable	Typed	Any
`attr`	`Float128.type`	1	0	0
`attr`	`UInt16.type`	1	0	0
`attr`	`Float64.type`	1	0	0
`attr`	`DateTime64.type`	1	0	0
`attr`	`Bytes.type`	1	0	0
`attr`	`Float16.type`	1	0	0
`attr`	`Complex64.type`	1	0	0
`meth`	`Engine.dtype`	2	2	1
`attr`	`Int8.type`	1	0	0
`attr`	`Int32.type`	1	0	0
`attr`	`Int64.type`	1	0	0
`attr`	`Timedelta64.type`	1	0	0
`attr`	`Object.type`	1	0	0
`attr`	`Complex256.type`	1	0	0
`attr`	`Int16.type`	1	0	0
`attr`	`String.type`	1	0	0
`attr`	`UInt32.type`	1	0	0
`attr`	`Complex128.type`	1	0	0
`attr`	`Float32.type`	1	0	0
`meth`	`DataType.init`	2	1	1
`meth`	`DataType.post_init`	1	0	0
`meth`	`DataType.coerce_value`	2	2	2
`attr`	`UInt8.type`	1	0	0
`attr`	`Bool.type`	1	0	0
`attr`	`UInt64.type`	1	0	0

pandera.engines.pandas_engine (66 missing, 25 any)

	Symbol	Typable	Typed	Any
`attr`	`UINT64.type`	1	0	0
`attr`	`INT64.type`	1	0	0
`meth`	`Category.coerce_value`	2	2	2
`meth`	`Category.from_parametrized_dtype`	2	1	0
`meth`	`Date._coerce`	3	3	1
`meth`	`Date.coerce_value`	2	2	2
`attr`	`Date.type`	1	0	0
`attr`	`ArrowUInt64.type`	1	0	0
`meth`	`Period.post_init`	1	0	0
`meth`	`Period.from_parametrized_dtype`	2	1	0
`meth`	`DateTime.post_init`	1	0	0
`meth`	`DateTime._coerce`	3	3	1
`meth`	`DateTime.from_parametrized_dtype`	2	1	0
`meth`	`DateTime.coerce_value`	2	2	2
`attr`	`UINT16.type`	1	0	0
`meth`	`ArrowDuration.post_init`	1	0	0
`meth`	`ArrowDuration.from_parametrized_dtype`	2	1	0
`meth`	`ArrowTime32.post_init`	1	0	0
`meth`	`ArrowTime32.from_parametrized_dtype`	2	1	0
`attr`	`ArrowDate64.type`	1	0	0
`attr`	`INT16.type`	1	0	0
`meth`	`ArrowStruct.post_init`	1	0	0
`meth`	`ArrowStruct.from_parametrized_dtype`	2	1	0
`attr`	`ArrowFloat16.type`	1	0	0
`meth`	`ArrowMap.post_init`	1	0	0
`meth`	`ArrowMap.from_parametrized_dtype`	2	1	0
`attr`	`UINT32.type`	1	0	0
`meth`	`Engine.dtype`	2	2	1
`attr`	`ArrowInt64.type`	1	0	0
`attr`	`logger`	1	0	0
`meth`	`ArrowList.post_init`	1	0	0
`meth`	`ArrowList.from_parametrized_dtype`	2	1	0
`meth`	`PythonGenericType._check_type`	2	2	1
`meth`	`PythonGenericType._coerce_element`	2	2	2
`attr`	`PythonGenericType.type`	1	1	1
`attr`	`PythonGenericType.generic_type`	1	1	1
`attr`	`PythonGenericType.special_type`	1	1	1
`attr`	`ArrowInt16.type`	1	0	0
`attr`	`ArrowLargeBinary.type`	1	0	0
`meth`	`BOOL.coerce_value`	2	2	2
`attr`	`BOOL.type`	1	0	0
`attr`	`BOOL._bool_like`	1	0	0
`attr`	`ArrowDate32.type`	1	0	0
`attr`	`ArrowNull.type`	1	0	0
`meth`	`STRING.post_init`	1	0	0
`meth`	`STRING.from_parametrized_dtype`	2	1	0
`meth`	`ArrowTimestamp.post_init`	1	0	0
`meth`	`ArrowTimestamp.from_parametrized_dtype`	2	1	0
`attr`	`ArrowInt8.type`	1	0	0
`attr`	`ArrowUInt32.type`	1	0	0
`attr`	`PANDAS_3_0_0_PLUS`	1	0	0
`attr`	`ArrowLargeString.type`	1	0	0
`meth`	`ArrowBinary.post_init`	1	0	0
`meth`	`ArrowBinary.from_parametrized_dtype`	2	1	0
`attr`	`FLOAT64.type`	1	0	0
`attr`	`INT32.type`	1	0	0
`meth`	`ArrowDictionary.post_init`	1	0	0
`meth`	`ArrowDictionary.from_parametrized_dtype`	2	1	0
`attr`	`ArrowUInt16.type`	1	0	0
`attr`	`ArrowUInt8.type`	1	0	0
`attr`	`ArrowFloat64.type`	1	0	0
`meth`	`DataType.init`	2	1	1
`meth`	`DataType.post_init`	1	0	0
`meth`	`DataType.coerce_value`	2	2	2
`attr`	`DataType.type`	1	1	1
`attr`	`INT8.type`	1	0	0
`meth`	`ArrowDecimal128.post_init`	1	0	0
`meth`	`ArrowDecimal128.from_parametrized_dtype`	2	1	0
`meth`	`ArrowDataType.coerce_value`	2	2	2
`attr`	`ArrowString.type`	1	0	0
`attr`	`ArrowInt32.type`	1	0	0
`attr`	`ArrowFloat32.type`	1	0	0
`meth`	`Decimal.coerce_value`	2	2	1
`attr`	`Decimal.type`	1	0	0
`attr`	`FLOAT32.type`	1	0	0
`meth`	`Sparse.post_init`	1	0	0
`meth`	`Sparse.from_parametrized_dtype`	2	1	0
`attr`	`Sparse.fill_value`	1	1	1
`meth`	`ArrowTime64.post_init`	1	0	0
`meth`	`ArrowTime64.from_parametrized_dtype`	2	1	0
`meth`	`Interval.post_init`	1	0	0
`meth`	`Interval.from_parametrized_dtype`	2	1	0
`attr`	`UINT8.type`	1	0	0

pandera.engines.polars_engine (17 missing, 2 any)

	Symbol	Typable	Typed	Any
`meth`	`Category.init`	2	1	0
`meth`	`Category.str`	1	0	0
`meth`	`DateTime.from_parametrized_dtype`	2	1	0
`meth`	`Array.from_parametrized_dtype`	2	1	0
`meth`	`Engine.dtype`	2	2	1
`attr`	`logger`	1	0	0
`func`	`convert_py_dtype_to_polars_dtype`	2	0	0
`meth`	`Categorical.deepcopy`	2	0	0
`meth`	`Categorical.from_parametrized_dtype`	2	1	0
`meth`	`Struct.from_parametrized_dtype`	2	1	0
`meth`	`Timedelta.from_parametrized_dtype`	2	1	0
`meth`	`Enum.from_parametrized_dtype`	2	1	0
`meth`	`List.from_parametrized_dtype`	2	1	0
`func`	`polars_coerce_failure_cases`	3	3	1
`meth`	`DataType.init`	2	1	0
`meth`	`DataType.post_init`	1	0	0
`meth`	`Decimal.from_parametrized_dtype`	2	1	0

pandera.engines.pyarrow_engine (37 missing, 2 any)

	Symbol	Typable	Typed	Any
`attr`	`ArrowUInt64.type`	1	0	0
`meth`	`ArrowTime32.post_init`	1	0	0
`meth`	`ArrowTime32.from_parametrized_dtype`	2	1	0
`meth`	`ArrowDuration.post_init`	1	0	0
`meth`	`ArrowDuration.from_parametrized_dtype`	2	1	0
`attr`	`ArrowDate64.type`	1	0	0
`meth`	`ArrowStruct.post_init`	1	0	0
`meth`	`ArrowStruct.from_parametrized_dtype`	2	1	0
`attr`	`ArrowFloat16.type`	1	0	0
`meth`	`ArrowMap.post_init`	1	0	0
`meth`	`ArrowMap.from_parametrized_dtype`	2	1	0
`attr`	`ArrowInt64.type`	1	0	0
`meth`	`ArrowList.post_init`	1	0	0
`meth`	`ArrowList.from_parametrized_dtype`	2	1	0
`attr`	`ArrowInt16.type`	1	0	0
`attr`	`ArrowLargeBinary.type`	1	0	0
`attr`	`ArrowDate32.type`	1	0	0
`attr`	`ArrowNull.type`	1	0	0
`meth`	`ArrowTimestamp.post_init`	1	0	0
`meth`	`ArrowTimestamp.from_parametrized_dtype`	2	1	0
`attr`	`ArrowInt8.type`	1	0	0
`attr`	`ArrowUInt32.type`	1	0	0
`attr`	`ArrowLargeString.type`	1	0	0
`meth`	`ArrowBinary.post_init`	1	0	0
`meth`	`ArrowBinary.from_parametrized_dtype`	2	1	0
`attr`	`ArrowUInt16.type`	1	0	0
`meth`	`ArrowDictionary.post_init`	1	0	0
`meth`	`ArrowDictionary.from_parametrized_dtype`	2	1	0
`attr`	`ArrowUInt8.type`	1	0	0
`attr`	`ArrowFloat64.type`	1	0	0
`meth`	`ArrowDecimal128.post_init`	1	0	0
`meth`	`ArrowDecimal128.from_parametrized_dtype`	2	1	0
`meth`	`ArrowDataType.coerce_value`	2	2	2
`attr`	`ArrowString.type`	1	0	0
`attr`	`ArrowInt32.type`	1	0	0
`attr`	`ArrowFloat32.type`	1	0	0
`meth`	`ArrowTime64.post_init`	1	0	0
`meth`	`ArrowTime64.from_parametrized_dtype`	2	1	0

pandera.engines.pyspark_engine (19 missing, 11 any)

	Symbol	Typable	Typed	Any
`attr`	`Binary.type`	1	0	0
`attr`	`ShortInt.type`	1	0	0
`attr`	`Date.type`	1	0	0
`attr`	`ByteInt.type`	1	0	0
`meth`	`MapType.init`	4	4	2
`meth`	`MapType.from_parametrized_dtype`	2	1	0
`meth`	`MapType.check`	3	3	1
`attr`	`Double.type`	1	0	0
`meth`	`Engine.dtype`	2	2	1
`attr`	`equivalents`	1	0	0
`attr`	`Float.type`	1	0	0
`attr`	`Int.type`	1	0	0
`attr`	`BigInt.type`	1	0	0
`meth`	`ArrayType.init`	3	3	1
`meth`	`ArrayType.from_parametrized_dtype`	2	1	0
`meth`	`ArrayType.check`	3	3	1
`attr`	`String.type`	1	0	0
`meth`	`DataType.init`	2	1	1
`meth`	`DataType.post_init`	1	0	0
`attr`	`DataType.type`	1	1	1
`attr`	`CURRENT_PYSPARK_VERSION`	1	0	0
`meth`	`Bool.coerce_value`	2	2	2
`attr`	`Bool.type`	1	0	0
`attr`	`Bool._bool_like`	1	0	0
`meth`	`Decimal.from_parametrized_dtype`	2	1	0
`meth`	`Decimal.check`	3	3	1
`attr`	`Timestamp.type`	1	0	0

pandera.engines.utils (1 missing, 2 any)

	Symbol	Typable	Typed	Any
`func`	`numpy_pandas_coerce_failure_cases`	3	3	1
`func`	`numpy_pandas_coercible`	3	3	1
`func`	`pandas_version`	1	0	0

pandera.errors (43 missing, 1 any)

	Symbol	Typable	Typed	Any
`meth`	`SchemaErrors.init`	4	2	1
`meth`	`SchemaErrors.str`	1	0	0
`attr`	`SchemaErrors.schema`	1	0	0
`attr`	`SchemaErrors.schema_errors`	1	0	0
`attr`	`SchemaErrors.data`	1	0	0
`attr`	`SchemaErrors.error_counts`	1	0	0
`attr`	`SchemaErrors.failure_cases`	1	0	0
`attr`	`SchemaErrors.message`	1	0	0
`meth`	`ReducedPickleExceptionBase.reduce`	1	0	0
`meth`	`ReducedPickleExceptionBase._unpickle_warning`	1	0	0
`meth`	`ReducedPickleExceptionBase.setstate`	2	0	0
`meth`	`SchemaError.init`	13	0	0
`attr`	`SchemaError.schema`	1	0	0
`attr`	`SchemaError.data`	1	0	0
`attr`	`SchemaError.failure_cases`	1	0	0
`attr`	`SchemaError.check`	1	0	0
`attr`	`SchemaError.check_index`	1	0	0
`attr`	`SchemaError.check_output`	1	0	0
`attr`	`SchemaError.parser`	1	0	0
`attr`	`SchemaError.parser_index`	1	0	0
`attr`	`SchemaError.parser_output`	1	0	0
`attr`	`SchemaError.reason_code`	1	0	0
`attr`	`SchemaError.column_name`	1	0	0
`meth`	`ParserError.init`	4	0	0
`attr`	`ParserError.failure_cases`	1	0	0
`attr`	`ParserError.parser_output`	1	0	0

pandera.io.pandas_io (26 missing, 0 any)

	Symbol	Typable	Typed
`func`	`deserialize_schema`	2	0
`func`	`to_yaml`	3	0
`func`	`to_json`	4	0
`func`	`to_script`	3	0
`func`	`from_yaml`	2	0
`func`	`serialize_schema`	2	0
`func`	`from_json`	2	0
`meth`	`FrictionlessFieldParser.init`	3	1
`attr`	`FrictionlessFieldParser.constraints`	1	0
`attr`	`FrictionlessFieldParser.primary_keys`	1	0
`attr`	`FrictionlessFieldParser.description`	1	0
`attr`	`FrictionlessFieldParser.title`	1	0
`attr`	`FrictionlessFieldParser.name`	1	0
`attr`	`FrictionlessFieldParser.type`	1	0

pandera.mypy (10 missing, 0 any)

	Symbol	Typable	Typed
`meth`	`PanderaPlugin.init`	2	1
`attr`	`PanderaPlugin.plugin_config`	1	0
`func`	`plugin`	2	1
`meth`	`PanderaPluginConfig.init`	2	0
`attr`	`PanderaPluginConfig.options`	1	0
`meth`	`DataFrameModelTransformer.init`	3	1
`meth`	`DataFrameModelTransformer.erase_field_type_arg`	1	0
`attr`	`DataFrameModelTransformer.ctx`	1	0

pandera.schema_inference.pandas (1 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`infer_series_schema`	2	1	0

pandera.schema_statistics.pandas (9 missing, 0 any)

	Symbol	Typable	Typed
`func`	`parse_checks`	2	1
`func`	`get_dataframe_schema_statistics`	2	0
`func`	`get_index_schema_statistics`	2	0
`func`	`get_series_schema_statistics`	2	0
`func`	`parse_check_statistics`	2	1
`func`	`infer_index_statistics`	2	1

pandera.strategies.base_strategies (2 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`composite`	2	0	0

pandera.strategies.pandas_strategies (21 missing, 4 any)

	Symbol	Typable	Typed	Any
`func`	`convert_dtype`	3	2	1
`func`	`numpy_time_dtypes`	4	1	0
`func`	`set_pandas_index`	4	2	1
`func`	`null_field_masks`	3	1	0
`func`	`index_strategy`	8	7	0
`func`	`register_check_strategy`	2	1	0
`func`	`ne_strategy`	4	4	1
`func`	`verify_dtype`	4	3	0
`func`	`numpy_complex_dtypes`	6	4	0
`func`	`convert_dtypes`	3	2	0
`func`	`eq_strategy`	4	4	1
`func`	`column_strategy`	6	5	0
`func`	`multiindex_strategy`	5	4	0
`func`	`to_numpy_dtype`	2	1	0
`func`	`null_dataframe_masks`	4	2	0
`func`	`dataframe_strategy`	9	8	0
`func`	`pandas_dtype_strategy`	4	3	0

pandera.system (1 missing, 0 any)

	Symbol	Typable	Typed	Any
`attr`	`FLOAT_128_AVAILABLE`	1	0	0

pandera.typing (3 missing, 0 any)

	Symbol	Typable
`func`	`get_series_types`	1
`func`	`get_dataframe_types`	1
`func`	`get_index_types`	1

pandera.typing.common (0 missing, 1 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrameBase.setattr`	3	3	1

pandera.typing.fastapi (6 missing, 6 any)

	Symbol	Typable	Typed	Any
`meth`	`UploadFile.init`	6	3	1
`meth`	`UploadFile.get_pydantic_core_schema`	3	3	1
`meth`	`UploadFile.pydantic_validate_v2`	3	2	2
`meth`	`UploadFile.get_validators`	1	0	0
`meth`	`UploadFile.pydantic_validate_v1`	3	3	2
`attr`	`UploadFile.data`	1	0	0

pandera.typing.geopandas (10 missing, 5 any)

	Symbol	Typable	Typed	Any
`meth`	`GeoDataFrame.class_getitem`	2	0	0
`meth`	`GeoDataFrame.from_format`	3	2	1
`meth`	`GeoDataFrame.to_format`	3	2	1
`meth`	`GeoDataFrame._get_schema_model`	2	0	0
`meth`	`GeoDataFrame.get_pydantic_core_schema`	3	3	1
`meth`	`GeoDataFrame.get_validators`	1	0	0
`meth`	`GeoDataFrame.pydantic_validate`	3	2	1
`meth`	`GeoDataFrame._pydantic_validate`	3	2	1
`prop`	`GeoDataFrame._constructor`	1	0	0

pandera.typing.ibis (5 missing, 2 any)

	Symbol	Typable	Typed	Any
`func`	`ibis_version`	1	0	0
`meth`	`Table.from_format`	3	2	1
`meth`	`Table.to_format`	3	2	1
`meth`	`Table._get_schema_model`	2	0	0

pandera.typing.modin (1 missing, 0 any)

	Symbol	Typable	Typed	Any
`func`	`modin_version`	1	0	0

pandera.typing.pandas (12 missing, 5 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrame.class_getitem`	2	0	0
`meth`	`DataFrame.from_format`	3	2	1
`meth`	`DataFrame.to_format`	3	2	1
`meth`	`DataFrame._get_schema_model`	2	0	0
`meth`	`DataFrame.get_pydantic_core_schema`	3	3	1
`meth`	`DataFrame.get_validators`	1	0	0
`meth`	`DataFrame.pydantic_validate`	3	2	1
`meth`	`DataFrame._pydantic_validate`	3	2	1
`meth`	`DataFrame.from_records`	4	3	0
`meth`	`Series.class_getitem`	2	0	0

pandera.typing.polars (8 missing, 5 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrame.from_format`	3	2	1
`meth`	`DataFrame.to_format`	3	2	1
`meth`	`DataFrame._get_schema_model`	2	0	0
`meth`	`DataFrame.get_pydantic_core_schema`	3	3	1
`meth`	`DataFrame.get_validators`	1	0	0
`meth`	`DataFrame.pydantic_validate`	3	2	1
`meth`	`DataFrame._pydantic_validate`	3	2	1
`func`	`polars_version`	1	0	0

pandera.typing.pyspark (4 missing, 0 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrame.class_getitem`	2	0	0
`meth`	`Series.class_getitem`	2	0	0

pandera.typing.pyspark_sql (2 missing, 0 any)

	Symbol	Typable	Typed	Any
`meth`	`DataFrame.class_getitem`	2	0	0

pandera.utils (1 missing, 2 any)

	Symbol	Typable	Typed	Any
`func`	`is_regex`	2	1	0
`func`	`docstring_substitution`	3	3	2

pandera.validation_depth (2 missing, 0 any)

	Symbol	Typable	Typed	Any
`attr`	`logger`	1	0	0
`func`	`validate_scope`	2	1	0

Type-Ignore Comments

Flavor	Count
`type: ignore`	83
`type: ignore[assignment]`	19
`type: ignore[misc]`	6
`type: ignore[attr-defined]`	5
`type: ignore[arg-type]`	2
`type: ignore[name-defined]`	1

PyPI	https://pypi.org/project/pandera/
Repository	https://github.com/pandera-dev/pandera