@@ -1937,11 +1937,10 @@ def tz_convert(self, tz):
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mapping = {True : 'infer' , False : 'raise' })
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def tz_localize (self , tz , ambiguous = 'raise' , errors = 'raise' ):
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"""
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- Convert aware Datetime index to TimeZone aware Datetime index.
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-
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- Localize timezone-naive DatetimeIndex to given time zone , or
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- remove timezone from timezone aware DatetimeIndex
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+ Convert aware Datetime index to TimeZone naive Datetime index.
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+ Localize timezone-naive DatetimeIndex to given time zone,
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+ or remove timezone from timezone aware DatetimeIndex.
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Parameters
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----------
@@ -1972,18 +1971,17 @@ def tz_localize(self, tz, ambiguous='raise', errors='raise'):
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-------
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localized : DatetimeIndex
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- Examples
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- --------
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- In the example below, We put the date range from 01 March 2018 to
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- 08 March 2018 & convert this to US/Eastern Time zone
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+ Examples
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+ --------
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+ 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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- >>> df = pd.date_range('2018-03-01', '2018-03-08')
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- >>> df
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- DatetimeIndex(['2018-03-01', '2018-03-02', '2018-03-03', '2018-03-04',
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+ >>> df = pd.date_range('2018-03-01', '2018-03-08')
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+ >>> df
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+ DatetimeIndex(['2018-03-01', '2018-03-02', '2018-03-03', '2018-03-04',
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'2018-03-05', '2018-03-06', '2018-03-07', '2018-03-08'],
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dtype='datetime64[ns]', freq='D')
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- >>> df.tz_localize(tz='US/Eastern')
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- DatetimeIndex(['2018-03-01 00:00:00-05:00', '2018-03-02 00:00:00-05:00',
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+ >>> df.tz_localize(tz='US/Eastern')
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+ DatetimeIndex(['2018-03-01 00:00:00-05:00', '2018-03-02 00:00:00-05:00',
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'2018-03-03 00:00:00-05:00', '2018-03-04 00:00:00-05:00',
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'2018-03-05 00:00:00-05:00', '2018-03-06 00:00:00-05:00',
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'2018-03-07 00:00:00-05:00', '2018-03-08 00:00:00-05:00'],
@@ -1992,7 +1990,8 @@ def tz_localize(self, tz, ambiguous='raise', errors='raise'):
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Raises
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------
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TypeError
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- If the DatetimeIndex is tz-aware and tz is not None.
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+ If the DatetimeIndex is tz-aware and tz is not None.
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+
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"""
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if self .tz is not None :
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if tz is None :
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