pyspark.pandas.Index.is_all_dates¶
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property
Index.is_all_dates¶ Return if all data types of the index are datetime. remember that since pandas-on-Spark does not support multiple data types in an index, so it returns True if any type of data is datetime.
Examples
>>> from datetime import datetime
>>> idx = ps.Index([datetime(2019, 1, 1, 0, 0, 0), datetime(2019, 2, 3, 0, 0, 0)]) >>> idx DatetimeIndex(['2019-01-01', '2019-02-03'], dtype='datetime64[ns]', freq=None)
>>> idx.is_all_dates True
>>> idx = ps.Index([datetime(2019, 1, 1, 0, 0, 0), None]) >>> idx DatetimeIndex(['2019-01-01', 'NaT'], dtype='datetime64[ns]', freq=None)
>>> idx.is_all_dates True
>>> idx = ps.Index([0, 1, 2]) >>> idx Int64Index([0, 1, 2], dtype='int64')
>>> idx.is_all_dates False