pandas.UInt32Dtype#

classpandas.UInt32Dtype[source]#

An ExtensionDtype for uint32 integer data.

Usespandas.NA as its missing value, rather thannumpy.nan.

Attributes

None

Methods

None

Examples

For Int8Dtype:

>>>ser=pd.Series([2,pd.NA],dtype=pd.Int8Dtype())>>>ser.dtypeInt8Dtype()

For Int16Dtype:

>>>ser=pd.Series([2,pd.NA],dtype=pd.Int16Dtype())>>>ser.dtypeInt16Dtype()

For Int32Dtype:

>>>ser=pd.Series([2,pd.NA],dtype=pd.Int32Dtype())>>>ser.dtypeInt32Dtype()

For Int64Dtype:

>>>ser=pd.Series([2,pd.NA],dtype=pd.Int64Dtype())>>>ser.dtypeInt64Dtype()

For UInt8Dtype:

>>>ser=pd.Series([2,pd.NA],dtype=pd.UInt8Dtype())>>>ser.dtypeUInt8Dtype()

For UInt16Dtype:

>>>ser=pd.Series([2,pd.NA],dtype=pd.UInt16Dtype())>>>ser.dtypeUInt16Dtype()

For UInt32Dtype:

>>>ser=pd.Series([2,pd.NA],dtype=pd.UInt32Dtype())>>>ser.dtypeUInt32Dtype()

For UInt64Dtype:

>>>ser=pd.Series([2,pd.NA],dtype=pd.UInt64Dtype())>>>ser.dtypeUInt64Dtype()