# pandas.DatetimeIndex.to_series

`DatetimeIndex.``to_series`(keep_tz=None, index=None, name=None)

  Create a Series with both index and values equal to the index keys useful with map for returning an indexer based on an index

  Parameters:

  keep_tz : optional, defaults False

  > Return the data keeping the timezone.

  > If keep_tz is True:

  > > If the timezone is not set, the resulting Series will have a datetime64[ns] dtype.

  > > Otherwise the Series will have an datetime64[ns, tz] dtype; the tz will be preserved.

  > If keep_tz is False:

  > > Series will have a datetime64[ns] dtype. TZ aware objects will have the tz removed.

  > Changed in version 0.24: The default value will change to True in a future release. You can set `keep_tz=True` to already obtain the future behaviour and silence the warning.

  index : Index, optional

  > index of resulting Series. If None, defaults to original index

  name : string, optional

  > name of resulting Series. If None, defaults to name of original index

  Returns: | Series

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