pandatools.py 文件源码

def series_is_datetime(series: pd.Series, check_num: int=5, dropna: bool=True):
    """
    Checks random rows in a Series comparing rows that coerce to datetime.
    :param series:
    :param check_num:
    :param dropna:
    :return:
    """
    if dropna:
        series = series.dropna(axis=0)
    got, lost = 0, 0
    size = (check_num if series.index.size > check_num else series.index.size)

    if size > 0:
        checks = np.random.randint(0, high=series.index.size, size=size)
        for x in series[checks].tolist():
            try:
                x = pd.Timestamp(x)
                if pd.notnull(x):
                    got += 1
            except (ValueError, OverflowError):
                lost += 1

    return got > lost