cudf.core.column.string.StringMethods.match

StringMethods.match(pat: str, case: bool = True, flags: int = 0) → SeriesOrIndex

Determine if each string matches a regular expression.

Parameters:

patstr or compiled regex

Character sequence or regular expression.

flagsint, default 0 (no flags)

Flags to pass through to the regex engine (e.g. re.MULTILINE)

Returns:

Series or Index of boolean values.

Examples

>>> import cudf
>>> s = cudf.Series(["rapids", "ai", "cudf"])

Checking for strings starting with a.

>>> s.str.match('a')
0    False
1     True
2    False
dtype: bool

Checking for strings starting with any of a or c.

>>> s.str.match('[ac]')
0    False
1     True
2     True
dtype: bool

Pandas Compatibility Note

pandas.Series.str.match()

Parameters case and na are currently not supported. The flags parameter currently only supports re.DOTALL and re.MULTILINE.