Data Types¶

Library-agnostic dtypes¶

`pandera.dtypes.DataType`	Base class of all Pandera data types.
`pandera.dtypes.Bool`	Semantic representation of a boolean data type.
`pandera.dtypes.Timestamp`	Semantic representation of a timestamp data type.
`pandera.dtypes.DateTime`	alias of `Timestamp`
`pandera.dtypes.Timedelta`	Semantic representation of a delta time data type.
`pandera.dtypes.Category`	Semantic representation of a categorical data type.
`pandera.dtypes.Float`	Semantic representation of a floating data type.
`pandera.dtypes.Float16`	Semantic representation of a floating data type stored in 16 bits.
`pandera.dtypes.Float32`	Semantic representation of a floating data type stored in 32 bits.
`pandera.dtypes.Float64`	Semantic representation of a floating data type stored in 64 bits.
`pandera.dtypes.Float128`	Semantic representation of a floating data type stored in 128 bits.
`pandera.dtypes.Int`	Semantic representation of an integer data type.
`pandera.dtypes.Int8`	Semantic representation of an integer data type stored in 8 bits.
`pandera.dtypes.Int16`	Semantic representation of an integer data type stored in 16 bits.
`pandera.dtypes.Int32`	Semantic representation of an integer data type stored in 32 bits.
`pandera.dtypes.Int64`	Semantic representation of an integer data type stored in 64 bits.
`pandera.dtypes.UInt`	Semantic representation of an unsigned integer data type.
`pandera.dtypes.UInt8`	Semantic representation of an unsigned integer data type stored in 8 bits.
`pandera.dtypes.UInt16`	Semantic representation of an unsigned integer data type stored in 16 bits.
`pandera.dtypes.UInt32`	Semantic representation of an unsigned integer data type stored in 32 bits.
`pandera.dtypes.UInt64`	Semantic representation of an unsigned integer data type stored in 64 bits.
`pandera.dtypes.Complex`	Semantic representation of a complex number data type.
`pandera.dtypes.Complex64`	Semantic representation of a complex number data type stored in 64 bits.
`pandera.dtypes.Complex128`	Semantic representation of a complex number data type stored in 128 bits.
`pandera.dtypes.Complex256`	Semantic representation of a complex number data type stored in 256 bits.
`pandera.dtypes.Decimal`	Semantic representation of a decimal data type.
`pandera.dtypes.String`	Semantic representation of a string data type.

Pandas Dtypes¶

Passing native pandas dtypes to pandera components is preferred, and will be converted to the following pandera-native dtypes. See here for more details.

`pandera.engines.pandas_engine.BOOL`	Semantic representation of a `pandas.BooleanDtype`.
`pandera.engines.pandas_engine.INT8`	Semantic representation of a `pandas.Int8Dtype`.
`pandera.engines.pandas_engine.INT16`	Semantic representation of a `pandas.Int16Dtype`.
`pandera.engines.pandas_engine.INT32`	Semantic representation of a `pandas.Int32Dtype`.
`pandera.engines.pandas_engine.INT64`	Semantic representation of a `pandas.Int64Dtype`.
`pandera.engines.pandas_engine.UINT8`	Semantic representation of a `pandas.UInt8Dtype`.
`pandera.engines.pandas_engine.UINT16`	Semantic representation of a `pandas.UInt16Dtype`.
`pandera.engines.pandas_engine.UINT32`	Semantic representation of a `pandas.UInt32Dtype`.
`pandera.engines.pandas_engine.UINT64`	Semantic representation of a `pandas.UInt64Dtype`.
`pandera.engines.pandas_engine.STRING`	Semantic representation of a `pandas.StringDtype`.
`pandera.engines.numpy_engine.Object`	Semantic representation of a `numpy.object_`.
`pandera.engines.pandas_engine.Decimal`	Semantic representation of a `decimal.Decimal`.
`pandera.engines.pandas_engine.Category`	Semantic representation of a `pandas.CategoricalDtype`.
`pandera.engines.pandas_engine.STRING`	Semantic representation of a `pandas.StringDtype`.
`pandera.engines.pandas_engine.NpString`	Specializes numpy_engine.String.coerce to handle pd.NA values.
`pandera.engines.pandas_engine.DateTime`	Semantic representation of a potentially timezone-aware datetime.
`pandera.engines.pandas_engine.Date`	Semantic representation of a date data type.
`pandera.engines.pandas_engine.Period`	Representation of pandas `pd.Period`.
`pandera.engines.pandas_engine.Sparse`	Representation of pandas `pd.SparseDtype`.
`pandera.engines.pandas_engine.Interval`	Representation of pandas `pd.IntervalDtype`.
`pandera.engines.pandas_engine.PydanticModel`	A pydantic model datatype applying to rows in a dataframe.
`pandera.engines.pandas_engine.PythonDict`	A datatype to support python generics.
`pandera.engines.pandas_engine.PythonList`	A datatype to support python generics.
`pandera.engines.pandas_engine.PythonTuple`	A datatype to support python generics.
`pandera.engines.pandas_engine.PythonTypedDict`	A datatype to support python generics.
`pandera.engines.pandas_engine.PythonNamedTuple`	A datatype to support python generics.

Pyarrow Dtypes¶

new in 0.20.0

Pyarrow datatypes are available with the pandas validation engine. Passing native Pyarrow dtypes are preferred, and will be converted to the following pandera-native dtypes. See here for more details.

`pandera.engines.pandas_engine.ArrowBool`	Semantic representation of a `pyarrow.bool_`.
`pandera.engines.pandas_engine.ArrowInt64`	Semantic representation of a `pyarrow.int64`.
`pandera.engines.pandas_engine.ArrowInt32`	Semantic representation of a `pyarrow.int32`.
`pandera.engines.pandas_engine.ArrowInt16`	Semantic representation of a `pyarrow.int16`.
`pandera.engines.pandas_engine.ArrowInt8`	Semantic representation of a `pyarrow.int8`.
`pandera.engines.pandas_engine.ArrowString`	Semantic representation of a `pyarrow.string`.
`pandera.engines.pandas_engine.ArrowUInt64`	Semantic representation of a `pyarrow.uint64`.
`pandera.engines.pandas_engine.ArrowUInt32`	Semantic representation of a `pyarrow.uint32`.
`pandera.engines.pandas_engine.ArrowUInt16`	Semantic representation of a `pyarrow.uint16`.
`pandera.engines.pandas_engine.ArrowUInt8`	Semantic representation of a `pyarrow.uint8`.
`pandera.engines.pandas_engine.ArrowFloat64`	Semantic representation of a `pyarrow.float64`.
`pandera.engines.pandas_engine.ArrowFloat32`	Semantic representation of a `pyarrow.float32`.
`pandera.engines.pandas_engine.ArrowFloat16`	Semantic representation of a `pyarrow.float16`.
`pandera.engines.pandas_engine.ArrowDecimal128`	Semantic representation of a `pyarrow.decimal128`.
`pandera.engines.pandas_engine.ArrowTimestamp`	Semantic representation of a `pyarrow.timestamp`.
`pandera.engines.pandas_engine.ArrowDictionary`	Semantic representation of a `pyarrow.dictionary`.
`pandera.engines.pandas_engine.ArrowList`	Semantic representation of a `pyarrow.list_`.
`pandera.engines.pandas_engine.ArrowStruct`	Semantic representation of a `pyarrow.struct`.
`pandera.engines.pandas_engine.ArrowNull`	Semantic representation of a `pyarrow.null`.
`pandera.engines.pandas_engine.ArrowDate32`	Semantic representation of a `pyarrow.date32`.
`pandera.engines.pandas_engine.ArrowDate64`	Semantic representation of a `pyarrow.date64`.
`pandera.engines.pandas_engine.ArrowDuration`	Semantic representation of a `pyarrow.duration`.
`pandera.engines.pandas_engine.ArrowTime32`	Semantic representation of a `pyarrow.time32`.
`pandera.engines.pandas_engine.ArrowTime64`	Semantic representation of a `pyarrow.time64`.
`pandera.engines.pandas_engine.ArrowTimestamp`	Semantic representation of a `pyarrow.timestamp`.
`pandera.engines.pandas_engine.ArrowBinary`	Semantic representation of a `pyarrow.binary`.
`pandera.engines.pandas_engine.ArrowLargeBinary`	Semantic representation of a `pyarrow.large_binary`.
`pandera.engines.pandas_engine.ArrowLargeString`	Semantic representation of a `pyarrow.large_string`.

GeoPandas Dtypes¶

new in 0.9.0

pandera.engines.geopandas_engine.Geometry

Semantic representation of geopandas geopandas.array.GeometryDtype.

Pydantic Dtypes¶

new in 0.10.0

pandera.engines.pandas_engine.PydanticModel

A pydantic model datatype applying to rows in a dataframe.

Polars Dtypes¶

new in 0.19.0

`pandera.engines.polars_engine.Int8`	Polars signed 8-bit integer data type.
`pandera.engines.polars_engine.Int16`	Polars signed 16-bit integer data type.
`pandera.engines.polars_engine.Int32`	Polars signed 32-bit integer data type.
`pandera.engines.polars_engine.Int64`	Polars signed 64-bit integer data type.
`pandera.engines.polars_engine.UInt8`	Polars unsigned 8-bit integer data type.
`pandera.engines.polars_engine.UInt16`	Polars unsigned 16-bit integer data type.
`pandera.engines.polars_engine.UInt32`	Polars unsigned 32-bit integer data type.
`pandera.engines.polars_engine.UInt64`	Polars unsigned 64-bit integer data type.
`pandera.engines.polars_engine.Float32`	Polars 32-bit floating point data type.
`pandera.engines.polars_engine.Float64`	Polars 64-bit floating point data type.
`pandera.engines.polars_engine.Decimal`	Polars decimal data type.
`pandera.engines.polars_engine.Date`	Polars date data type.
`pandera.engines.polars_engine.DateTime`	Polars datetime data type.
`pandera.engines.polars_engine.Time`	Polars time data type.
`pandera.engines.polars_engine.Timedelta`	Polars timedelta data type.
`pandera.engines.polars_engine.Array`	Polars Array nested type.
`pandera.engines.polars_engine.List`	Polars List nested type.
`pandera.engines.polars_engine.Struct`	Polars Struct nested type.
`pandera.engines.polars_engine.Bool`	Polars boolean data type.
`pandera.engines.polars_engine.String`	Polars string data type.
`pandera.engines.polars_engine.Enum`	Polars enum data type.
`pandera.engines.polars_engine.Categorical`	Polars categorical data type.
`pandera.engines.polars_engine.Category`	Pandera categorical data type for polars.
`pandera.engines.polars_engine.Binary`	Polars binary data type.
`pandera.engines.polars_engine.Null`	Polars null data type.
`pandera.engines.polars_engine.Object`	Semantic representation of a `numpy.object_`.

Utility functions¶

`pandera.dtypes.is_subdtype`	Returns True if first argument is lower/equal in DataType hierarchy.
`pandera.dtypes.is_float`	Return True if `pandera.dtypes.DataType` is a float.
`pandera.dtypes.is_int`	Return True if `pandera.dtypes.DataType` is an integer.
`pandera.dtypes.is_uint`	Return True if `pandera.dtypes.DataType` is an unsigned integer.
`pandera.dtypes.is_complex`	Return True if `pandera.dtypes.DataType` is a complex number.
`pandera.dtypes.is_numeric`	Return True if `pandera.dtypes.DataType` is a numeric.
`pandera.dtypes.is_bool`	Return True if `pandera.dtypes.DataType` is a boolean.
`pandera.dtypes.is_string`	Return True if `pandera.dtypes.DataType` is a string.
`pandera.dtypes.is_datetime`	Return True if `pandera.dtypes.DataType` is a datetime.
`pandera.dtypes.is_timedelta`	Return True if `pandera.dtypes.DataType` is a timedelta.
`pandera.dtypes.immutable`	`dataclasses.dataclass()` decorator with different default values: frozen=True, init=False, repr=False.

Xarray dtypes¶

xarray uses NumPy-like dtypes; DataType wraps resolution for xarray.DataArray validation.

pandera.engines.xarray_engine.DataType

xarray-compatible data type.

Engines¶

`pandera.engines.engine.Engine`	Base Engine metaclass.
`pandera.engines.numpy_engine.Engine`	Numpy data type engine.
`pandera.engines.pandas_engine.Engine`	Pandas data type engine.
`pandera.engines.polars_engine.Engine`	Polars data type engine.
`pandera.engines.pyspark_engine.Engine`	PySpark data type engine.
`pandera.engines.xarray_engine.Engine`	xarray data type engine.