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DOC: Updated docstring DatetimeIndex.tz_localize #20050

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Merged
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Mar 14, 2018
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DOC: Updated docstring DatetimeIndex.tz_localize #20050

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9bd697d
Updated DocString DatetimeIndex.tz_localize
Mar 8, 2018
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Changes according to instruction
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updated Docstring
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indentation issue
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Final Updated docString
IHackPy Mar 9, 2018
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Final Updated Docstring
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Final Updated Docstring
IHackPy Mar 9, 2018
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added infer_dst
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Update datetimes.py
jorisvandenbossche Mar 14, 2018
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27 changes: 22 additions & 5 deletions pandas/core/indexes/datetimes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1937,8 +1937,11 @@ def tz_convert(self, tz):
mapping={True: 'infer', False: 'raise'})
def tz_localize(self, tz, ambiguous='raise', errors='raise'):
"""
Localize tz-naive DatetimeIndex to given time zone (using
pytz/dateutil), or remove timezone from tz-aware DatetimeIndex
DatetimeIndex.tz_localize used for Localize tz-naive DatetimeIndex.
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used to localize a tz-aware DatetimeIndex to tz-naive


tz_localize method is use to convert naive DatetimeIndex into any other
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tz-aware -> tz-naive

localize DatetimeIndex


Parameters
----------
Expand All @@ -1964,14 +1967,28 @@ def tz_localize(self, tz, ambiguous='raise', errors='raise'):

.. versionadded:: 0.19.0

infer_dst : boolean, default False
.. deprecated:: 0.15.0
Attempt to infer fall dst-transition hours based on order
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You can leave this one (although it will give an error in the validation script, but you can ignore that)

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@IHackPy IHackPy Mar 9, 2018 •
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I will add this again.

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@jorisvandenbossche why adding this back? looks leftover

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@jreback @jorisvandenbossche I add this again or not ???????

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@jreback no, the deprecation is still there (the fact that the deprecation is still there is certainly a left-over, but let's remove that (both the actual deprecation and the docs) in a separate PR)

@himanshuawasthi95 Yes, please add back


Returns
-------
localized : DatetimeIndex

Examples
--------
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same comment here about the indentation (it seems you are mixing tabs and spaces. It is best to configure your editor to introduce 4 spaces when you do tab)

In the example below, We put the date range from 01 March 2018 to
08 March 2018 & convert this to US/Eastern Time zone

>>> df = pd.date_range('2018-03-01', '2018-03-08')
>>> df
DatetimeIndex(['2018-03-01', '2018-03-02', '2018-03-03', '2018-03-04',
'2018-03-05', '2018-03-06', '2018-03-07', '2018-03-08'],
dtype='datetime64[ns]', freq='D')
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Can you clean up the alignment a bit here? If I run this in a console, I get this:

>>> df
DatetimeIndex(['2018-03-01', '2018-03-02', '2018-03-03', '2018-03-04',
               '2018-03-05'],
              dtype='datetime64[ns]', freq='D')

Ideally it should look the same (notice the different vertical alignment with your code)

>>> df.tz_localize(tz='US/Eastern')
DatetimeIndex(['2018-03-01 00:00:00-05:00', '2018-03-02 00:00:00-05:00',
'2018-03-03 00:00:00-05:00', '2018-03-04 00:00:00-05:00',
'2018-03-05 00:00:00-05:00', '2018-03-06 00:00:00-05:00',
'2018-03-07 00:00:00-05:00', '2018-03-08 00:00:00-05:00'],
dtype='datetime64[ns, US/Eastern]', freq='D')

Raises
------
TypeError
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