pandas.Series.str.lstrip#

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

Series.str.strip

Remove leading and trailing characters in Series/Index.

Series.str.lstrip

Remove leading characters in Series/Index.

Series.str.rstrip

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