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¶

Listed here for compatibility with pandera versions < 0.7. Passing native pandas dtypes to pandera components is preferred.

`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.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.Decimal`	Semantic representation of a `decimal.Decimal`.
`pandera.engines.pandas_engine.Category`	Semantic representation of a `pandas.CategoricalDtype`.

GeoPandas Dtypes¶

new in 0.9.0

pandera.engines.pandas_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.Categorical`	Polars categorical data type.
`pandera.engines.polars_engine.Category`	Pandera categorical data type for polars.
`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.

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.