DatetimeIndex.to_series(keep_tz=False, index=None, name=None)
[source]
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. 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 |
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Returns: |
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.DatetimeIndex.to_series.html