pyspark.pandas.Series.astype

Series.astype(dtype: Union[str, type, numpy.dtype, pandas.core.dtypes.base.ExtensionDtype]) → IndexOpsLike

Cast a pandas-on-Spark object to a specified dtype dtype.

Parameters

dtypedata type

Use a numpy.dtype or Python type to cast entire pandas object to the same type.

Returns

castedsame type as caller

See also

to_datetime

Convert argument to datetime.

Examples

>>> ser = ps.Series([1, 2], dtype='int32')
>>> ser
0    1
1    2
dtype: int32

>>> ser.astype('int64')
0    1
1    2
dtype: int64

>>> ser.rename("a").to_frame().set_index("a").index.astype('int64')
Int64Index([1, 2], dtype='int64', name='a')

previous

pyspark.pandas.Series.values

next

pyspark.pandas.Series.copy