count(self, pat, flags=0)
This function is used to count the number of times a particular regex pattern is repeated in each of the string elements of the ~pandas.Series
.
Some characters need to be escaped when passing in :None:None:`pat`. eg. '$'
has a special meaning in regex and must be escaped when finding this literal character.
Valid regular expression.
Flags for the re
module. For a complete list, :None:None:`see here
<https://docs.python.org/3/howto/regex.html#compilation-flags>`.
For compatibility with other string methods. Not used.
Same type as the calling object containing the integer counts.
Count occurrences of pattern in each string of the Series/Index.
re
Standard library module for regular expressions.
str.count
Standard library version, without regular expression support.
>>> s = pd.Series(['A', 'B', 'Aaba', 'Baca', np.nan, 'CABA', 'cat'])
... s.str.count('a') 0 0.0 1 0.0 2 2.0 3 2.0 4 NaN 5 0.0 6 1.0 dtype: float64
Escape '$'
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
This example is valid syntax, but we were not able to check execution>>> pd.Index(['A', 'A', 'Aaba', 'cat']).str.count('a') Int64Index([0, 0, 2, 1], dtype='int64')See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.strings.accessor.StringMethods.findall
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