Final Updated Docstring

Author: IHackPy

pandas/core/indexes/datetimes.py

@@ -1939,7 +1939,7 @@ def tz_localize(self, tz, ambiguous='raise', errors='raise'):
         """
         Convert aware Datetime index to TimeZone naive Datetime index.
 
-        Localize timezone-naive DatetimeIndex to given time zone, 
+        Localize timezone-naive DatetimeIndex to given time zone,
         or remove timezone from timezone aware DatetimeIndex.
 
         Parameters
@@ -1973,18 +1973,18 @@ def tz_localize(self, tz, ambiguous='raise', errors='raise'):
 
         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
- 
-        >>> 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'],
+        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', '2018-03-05')
+        >>> 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', '2018-03-06 00:00:00-05:00',
-               '2018-03-07 00:00:00-05:00', '2018-03-08 00:00:00-05:00'],
+        >>> 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'],
               dtype='datetime64[ns, US/Eastern]', freq='D')
 
         Raises