pyspark.pandas.DatetimeIndex.strftime¶

DatetimeIndex.strftime(date_format: str) → pyspark.pandas.indexes.base.Index¶

Convert to a string Index using specified date_format.

Return an Index of formatted strings specified by date_format, which supports the same string format as the python standard library. Details of the string format can be found in python string format doc.

Parameters

date_formatstr: Date format string (example: “%%Y-%%m-%%d”).

Returns

Index: Index of formatted strings.

See also

normalize: Return series with times to midnight.
round: Round the series to the specified freq.
floor: Floor the series to the specified freq.

Examples

>>> idx = ps.date_range(pd.Timestamp("2018-03-10 09:00"), periods=3, freq='s')
>>> idx.strftime('%B %d, %Y, %r')  
Index(['March 10, 2018, 09:00:00 AM', 'March 10, 2018, 09:00:01 AM',
       'March 10, 2018, 09:00:02 AM'],
      dtype='object')

pyspark.pandas.DatetimeIndex.normalize

pyspark.pandas.DatetimeIndex.round