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