pandera.engines.pandas_engine.PandasDtype¶

class pandera.engines.pandas_engine.PandasDtype(value)[source]¶

Enumerate all valid pandas data types.

This class simply enumerates the valid numpy dtypes for pandas arrays. For convenience PandasDtype enums can all be accessed in the top-level pandera name space via the same enum name.

Warning

This class is deprecated and will be removed in pandera v0.9.0. Use python types, pandas type string aliases, numpy dtypes, or pandas dtypes instead. See Pandera Data Types (new) for details.

Examples

>>> import pandas as pd
>>> import pandera as pa
>>>
>>>
>>> pa.SeriesSchema(pa.PandasDtype.Int).validate(pd.Series([1, 2, 3]))
0    1
1    2
2    3
dtype: int64
>>> pa.SeriesSchema(pa.PandasDtype.Float).validate(pd.Series([1.1, 2.3, 3.4]))
0    1.1
1    2.3
2    3.4
dtype: float64
>>> pa.SeriesSchema(pa.PandasDtype.String).validate(pd.Series(["a", "b", "c"]))
0    a
1    b
2    c
dtype: object

Attributes

`Bool`	`"bool"` numpy dtype
`DateTime`	`"datetime64[ns]"` numpy dtype
`Timedelta`	`"timedelta64[ns]"` numpy dtype
`Float`	`"float"` numpy dtype
`Float16`	`"float16"` numpy dtype
`Float32`	`"float32"` numpy dtype
`Float64`	`"float64"` numpy dtype
`Int`	`"int"` numpy dtype
`Int8`	`"int8"` numpy dtype
`Int16`	`"int16"` numpy dtype
`Int32`	`"int32"` numpy dtype
`Int64`	`"int64"` numpy dtype
`UInt8`	`"uint8"` numpy dtype
`UInt16`	`"uint16"` numpy dtype
`UInt32`	`"uint32"` numpy dtype
`UInt64`	`"uint64"` numpy dtype
`Object`	`"object"` numpy dtype
`Complex`	`"complex"` numpy dtype
`Complex64`	`"complex"` numpy dtype
`Complex128`	`"complex"` numpy dtype
`Complex256`	`"complex"` numpy dtype
`Category`	pandas `"categorical"` datatype
`INT8`	`"Int8"` pandas dtype:: pandas 0.24.0+
`INT16`	`"Int16"` pandas dtype: pandas 0.24.0+
`INT32`	`"Int32"` pandas dtype: pandas 0.24.0+
`INT64`	`"Int64"` pandas dtype: pandas 0.24.0+
`UINT8`	`"UInt8"` pandas dtype: pandas 0.24.0+
`UINT16`	`"UInt16"` pandas dtype: pandas 0.24.0+
`UINT32`	`"UInt32"` pandas dtype: pandas 0.24.0+
`UINT64`	`"UInt64"` pandas dtype: pandas 0.24.0+
`String`	`"str"` numpy dtype
`STRING`	`"string"` pandas dtypes: pandas 1.0.0+.