FutureWarning: Logical ops (and, or, xor) between Pandas objects and dtype-less seque

[NewBiee]

I think this is the problem:

m = [False] * len(series)

This is not a "Series, Index, or np.array". Try m = numpy.full((len(series), False).

Hi, Thank you.

I tried this but my code started flagging errors(red line) under certain words, I've highlighted all places by putting them inside the square brackets.

def get_flags(series, flags, regex_flag):
    """ Identifies whether the series contains the flags under consideration.
 
    Args:
        series (pandas.DataFrame.Series): Series against which regular expressions will be matched.
        flags (list): List of regular expressions to be evaluated
    """
    #m = [False] * len(series[)]
    m = np.full((len(series), False)
    series = [series].astype(str).str.lower([)]
    for i, flag in enumerate(flags):
        flag = [flag].lower()
        m = m | series.astype(str).str.contains(
            flag.lower(), regex=regex_flag, case=True,
        )
    return m