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# pandas.Series.str.count

Series.str.count(pat, flags=0)

  Count occurrences of pattern in each string of the Series/Index.

  This function is used to count the number of times a particular regex pattern is repeated in each of the string elements of the `Series`.

  Parameters:
    patstr

      Valid regular expression.

    flagsint, default 0, meaning no flags

      Flags for the re module. For a complete list, see here.

    **kwargs

      For compatibility with other string methods. Not used.

  Returns:
    Series or Index

      Same type as the calling object containing the integer counts.

  See also

  `re`

    Standard library module for regular expressions.

  `str.count`

    Standard library version, without regular expression support.

  Notes

  Some characters need to be escaped when passing in pat. eg. `'$'` has a special meaning in regex and must be escaped when finding this literal character.

  Examples

      >>> s = pd.Series(['A', 'B', 'Aaba', 'Baca', np.nan, 'CABA', 'cat'])
      >>> s.str.count('a')
      0    0.0
      1    0.0
      2    2.0
      3    2.0
      4    NaN
      5    0.0
      6    1.0
      dtype: float64

  Escape `'$'` to find the literal dollar sign.

      >>> s = pd.Series(['$', 'B', 'Aab$', '$$ca', 'C$B$', 'cat'])
      >>> s.str.count('\\$')
      0    1
      1    0
      2    1
      3    2
      4    2
      5    0
      dtype: int64

  This is also available on Index

      >>> pd.Index(['A', 'A', 'Aaba', 'cat']).str.count('a')
      Index([0, 0, 2, 1], dtype='int64')