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# 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_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 or Index of object

      Series or Index with the strings being stripped from the left and right sides.

  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