modin.pandas.Series.str.count

Series.str.count(pat, flags=0)[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.26.0/snowpark-python/.tox/docs/lib/python3.9/site-packages/modin/pandas/series_utils.py#L354-L359)

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:

  • pat (str) – Valid regular expression.

  • flags (int, default 0, meaning no flags) – Flags for the re module.

  • **kwargs – For compatibility with other string methods. Not used.

Returns:

Same type as the calling object containing the integer counts.

Return type:

Series or Index

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
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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
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This is also available on Index

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