pyspark.pandas.Series.dtype#

property Series.dtype#

Return the dtype object of the underlying data.

Examples

>>> s = ps.Series([1, 2, 3])
>>> s.dtype
dtype('int64')
>>> s = ps.Series(list('abc'))
>>> s.dtype
dtype('O')
>>> s = ps.Series(pd.date_range('20130101', periods=3))
>>> s.dtype
dtype('<M8[ns]')
>>> s.rename("a").to_frame().set_index("a").index.dtype
dtype('<M8[ns]')