pandas.Int64Dtype — pandas 2.2.3 documentation (original) (raw)

class pandas.Int64Dtype[source]#

An ExtensionDtype for int64 integer data.

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

Attributes

Methods

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()