Method findall

pandas/core/strings/accessor.py:3239–3329

Find all occurrences of pattern or regular expression in the Series/Index. Equivalent to applying :func:`re.findall` to all the elements in the Series/Index. Parameters ---------- pat : str Pattern or regular expression. flags :

(self, pat, flags: int = 0)

    @forbid_nonstring_types(["bytes"])
    def findall(self, pat, flags: int = 0):
        """
        Find all occurrences of pattern or regular expression in the Series/Index.

        Equivalent to applying :func:`re.findall` to all the elements in the
        Series/Index.

        Parameters
        ----------
        pat : str
            Pattern or regular expression.
        flags : int, default 0
            Flags from ``re`` module, e.g. `re.IGNORECASE` (default is 0, which
            means no flags).

        Returns
        -------
        Series/Index of lists of strings
            All non-overlapping matches of pattern or regular expression in each
            string of this Series/Index.

        See Also
        --------
        count : Count occurrences of pattern or regular expression in each string
            of the Series/Index.
        extractall : For each string in the Series, extract groups from all matches
            of regular expression and return a DataFrame with one row for each
            match and one column for each group.
        re.findall : The equivalent ``re`` function to all non-overlapping matches
            of pattern or regular expression in string, as a list of strings.

        Examples
        --------
        >>> s = pd.Series(["Lion", "Monkey", "Rabbit"])

        The search for the pattern 'Monkey' returns one match:

        >>> s.str.findall("Monkey")
        0          []
        1    [Monkey]
        2          []
        dtype: object

        On the other hand, the search for the pattern 'MONKEY' doesn't return any
        match:

        >>> s.str.findall("MONKEY")
        0    []
        1    []
        2    []
        dtype: object

        Flags can be added to the pattern or regular expression. For instance,
        to find the pattern 'MONKEY' ignoring the case:

        >>> import re
        >>> s.str.findall("MONKEY", flags=re.IGNORECASE)
        0          []