pandas.Series.str.count#

Series.str.count(pat,flags=0)[source]#

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

This function is used to count the number of times a particular regexpattern is repeated in each of the string elements of theSeries.

Parameters:

patstr

Valid regular expression.

flagsint, default 0, meaning no flags

Flags for there 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 inpat.eg.'$' has a special meaning in regex and must be escaped whenfinding this literal character.

Examples

>>>s=pd.Series(['A','B','Aaba','Baca',np.nan,'CABA','cat'])>>>s.str.count('a')0    0.01    0.02    2.03    2.04    NaN5    0.06    1.0dtype: float64

Escape'$' to find the literal dollar sign.

>>>s=pd.Series(['$','B','Aab$','$$ca','C$B$','cat'])>>>s.str.count('\\$')0    11    02    13    24    25    0dtype: int64

This is also available on Index

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