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