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pandas.Series.str.strip
Series.str.strip(to_strip=None)
[source]-
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. Equivalent to
str.strip()
.Parameters: -
to_strip : str 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/Index of objects
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]) >>> s 0 1. Ant. 1 2. Bee!\n 2 3. Cat?\t 3 NaN dtype: object
>>> s.str.strip() 0 1. Ant. 1 2. Bee! 2 3. Cat? 3 NaN dtype: object
>>> s.str.lstrip('123.') 0 Ant. 1 Bee!\n 2 Cat?\t 3 NaN dtype: object
>>> s.str.rstrip('.!? \n\t') 0 1. Ant 1 2. Bee 2 3. Cat 3 NaN dtype: object
>>> s.str.strip('123.!? \n\t') 0 Ant 1 Bee 2 Cat 3 NaN dtype: object
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https://pandas.pydata.org/pandas-docs/version/0.24.2/reference/api/pandas.Series.str.strip.html