pandas.Series.str.fullmatch — pandas 2.2.3 documentation (original) (raw)

Series.str.fullmatch(pat, case=True, flags=0, na=None)[source]#

Determine if each string entirely matches a regular expression.

Parameters:

patstr

Character sequence or regular expression.

casebool, default True

If True, case sensitive.

flagsint, default 0 (no flags)

Regex module flags, e.g. re.IGNORECASE.

nascalar, optional

Fill value for missing values. The default depends on dtype of the array. For object-dtype, numpy.nan is used. For StringDtype,pandas.NA is used.

Returns:

Series/Index/array of boolean values

See also

match

Similar, but also returns True when only a prefix of the string matches the regular expression.

extract

Extract matched groups.

Examples

ser = pd.Series(["cat", "duck", "dove"]) ser.str.fullmatch(r'd.+') 0 False 1 True 2 True dtype: bool