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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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Updated DocString DatetimeIndex.tz_localize
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jorisvandenbossche Mar 14, 2018
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24 changes: 22 additions & 2 deletions pandas/core/indexes/datetimes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1937,8 +1937,10 @@ 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
Convert aware to naive.
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Localize a tz-naive DatetimeIndex to tz-aware DatetimeIndex

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@jreback
can I add this line in extended summary :
tz_localize() takes a naive datetime object and interprets it as if it is in that timezone. It does not move the time to another timezone. tz_localize function helps to switch b/w time zone aware and time zone unaware objects.

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interprets -> sets it in that timezone with the current timestamps.

tz_localize function helps to switch b/w time zone aware and time zone unaware objects.

not sure this last line is necessary

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@jreback If it is give more clearity then It is okey other wise I can remove ??????


Localize timezone-naive DatetimeIndex to given time zone,
or remove timezone from timezone aware DatetimeIndex.
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this is almost a duplicate of the top


Parameters
----------
Expand Down Expand Up @@ -1968,14 +1970,32 @@ def tz_localize(self, tz, ambiguous='raise', errors='raise'):
.. 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
--------
In the example below, We put the date range from 01 March 2018
to 08 March 2018 & convert this to US/Eastern Time zone
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don't say convert. this is localizing, almost like 'setting' a time-zone.


>>> df = pd.date_range('2018-03-01', '2018-03-05')
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don't use df, dti is better

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any thing else in summary section ???

>>> df
DatetimeIndex(['2018-03-01', '2018-03-02', '2018-03-03',
'2018-03-04', '2018-03-05'],
dtype='datetime64[ns]', freq='D')
>>> 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'],
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showing the reverse example is also useful, IOW .tz_localize(None), removes the timezone and makes it tz-naive.

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@jreback when I add another example it shows error how I add that example in the docstring

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n [11]: pd.date_range('2018-03-01', '2018-03-05').tz_localize('US/Eastern').tz_localize(None)
Out[11]: 
DatetimeIndex(['2018-03-01', '2018-03-02', '2018-03-03', '2018-03-04',
               '2018-03-05'],
              dtype='datetime64[ns]', freq='D')

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@jreback @jorisvandenbossche I made required change.

dtype='datetime64[ns, US/Eastern]', freq='D')

Raises
------
TypeError
If the DatetimeIndex is tz-aware and tz is not None.

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I think we don't leave this line here, the validation script probably complains.

"""
if self.tz is not None:
if tz is None:
Expand Down