pandas.Series.str.lstrip — pandas 2.2.3 documentation (original) (raw)
Series.str.lstrip(to_strip=None)[source]#
Remove leading characters.
Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from left side. Replaces any non-strings in Series with NaNs. Equivalent to str.lstrip().
Parameters:
to_stripstr or None, default None
Specifying the set of characters to be removed. All combinations of this set of characters will be stripped. If None then whitespaces are removed.
Returns:
Series or Index of object
See also
Remove leading and trailing characters in Series/Index.
Remove leading characters in Series/Index.
Remove trailing characters in Series/Index.
Examples
s = pd.Series(['1. Ant. ', '2. Bee!\n', '3. Cat?\t', np.nan, 10, True]) s 0 1. Ant. 1 2. Bee!\n 2 3. Cat?\t 3 NaN 4 10 5 True dtype: object
s.str.strip() 0 1. Ant. 1 2. Bee! 2 3. Cat? 3 NaN 4 NaN 5 NaN dtype: object
s.str.lstrip('123.') 0 Ant. 1 Bee!\n 2 Cat?\t 3 NaN 4 NaN 5 NaN dtype: object
s.str.rstrip('.!? \n\t') 0 1. Ant 1 2. Bee 2 3. Cat 3 NaN 4 NaN 5 NaN dtype: object
s.str.strip('123.!? \n\t') 0 Ant 1 Bee 2 Cat 3 NaN 4 NaN 5 NaN dtype: object