pandera.typing

Typing definitions and helpers.

Pandas object annotations

DataFrame([data, index, columns, dtype, copy])	Representation of pandas.DataFrame, only used for type annotation.
Index([data, dtype, copy, name, tupleize_cols])	Representation of pandas.Index, only used for type annotation.
Series([data, index, dtype, name, copy, …])	Representation of pandas.Series, only used for type annotation.

Dtype annotations

Bool	"bool" numpy dtype
DateTime	"datetime64[ns]" numpy dtype
Timedelta	"timedelta64[ns]" numpy dtype
Category	pandas "categorical" datatype
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
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+
Object	"object" numpy dtype
String	"str" numpy dtype
STRING	"str" numpy dtype