pyspark.pandas.Series.str.count¶
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str.count(pat: str, flags: int = 0) → pyspark.pandas.series.Series¶ Count occurrences of pattern in each string of the Series.
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 (no flags)
Flags for the re module.
- Returns
- Series of int
A Series containing the integer counts of pattern matches.
Examples
>>> s = ps.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 ‘$’ to find the literal dollar sign.
>>> s = ps.Series(['$', 'B', 'Aab$', '$$ca', 'C$B$', 'cat']) >>> s.str.count('\$') 0 1 1 0 2 1 3 2 4 2 5 0 dtype: int64