maxframe.dataframe.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:

pat (str) – Valid regular expression.
flags (int, 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:

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

>>> import maxframe.tensor as mt
>>> import maxframe.dataframe as md
>>> s = md.Series(['A', 'B', 'Aaba', 'Baca', mt.nan, 'CABA', 'cat'])
>>> s.str.count('a').execute()
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 = md.Series(['$', 'B', 'Aab$', '$$ca', 'C$B$', 'cat'])
>>> s.str.count('\\$').execute()
0    1
1    0
2    1
3    2
4    2
5    0
dtype: int64

This is also available on Index

>>> md.Index(['A', 'A', 'Aaba', 'cat']).str.count('a').execute()
Int64Index([0, 0, 2, 1], dtype='int64')