pandas.Series.str.fullmatch#

Series.str.fullmatch(pat, case=True, flags=0, na=<no_default>)[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 the nullable StringDtype, pandas.NA is used. For the "str" dtype, False is used.

Returns:

Series/Index/array of boolean values: The function returns a Series, Index, or array of boolean values, where True indicates that the entire string matches the regular expression pattern and False indicates that it does not.

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