pandas.Int32Dtype — pandas 3.0.0.dev0+2095.g2e141aaf99 documentation (original) (raw)

class pandas.Int32Dtype[source]#

An ExtensionDtype for int32 integer data.

Uses pandas.NA as its missing value, rather than numpy.nan.

Attributes

Methods

See also

Int8Dtype

8-bit nullable integer type.

Int16Dtype

16-bit nullable integer type.

Int32Dtype

32-bit nullable integer type.

Int64Dtype

64-bit nullable integer type.

Examples

For Int8Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.Int8Dtype()) ser.dtype Int8Dtype()

For Int16Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.Int16Dtype()) ser.dtype Int16Dtype()

For Int32Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.Int32Dtype()) ser.dtype Int32Dtype()

For Int64Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.Int64Dtype()) ser.dtype Int64Dtype()

For UInt8Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.UInt8Dtype()) ser.dtype UInt8Dtype()

For UInt16Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.UInt16Dtype()) ser.dtype UInt16Dtype()

For UInt32Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.UInt32Dtype()) ser.dtype UInt32Dtype()

For UInt64Dtype:

ser = pd.Series([2, pd.NA], dtype=pd.UInt64Dtype()) ser.dtype UInt64Dtype()