pandas.UInt8Dtype#
- class pandas.UInt8Dtype[source]#
- An ExtensionDtype for uint8 integer data. - Uses - pandas.NAas its missing value, rather than- numpy.nan.- Attributes - None - Methods - None - 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()