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 thearray. For object-dtype,numpy.nan is used. For the nullableStringDtype,pandas.NA is used. For the"str" dtype,False is used.

Returns:

Series/Index/array of boolean values

See also

match

Similar, but also returnsTrue when only aprefix of the string matches the regular expression.

extract

Extract matched groups.

Examples

>>>ser=pd.Series(["cat","duck","dove"])>>>ser.str.fullmatch(r'd.+')0   False1    True2    Truedtype: bool