pandas.Series.str.strip

Series.str.strip(to_strip=None)

Remove leading and trailing characters.

Strip whitespaces (including newlines) or a set of specified characters from each string in the Series/Index from left and right sides. Replaces any non-strings in Series with NaNs. Equivalent to str.strip().

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

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