def col_values(df, col_name):
    """ Return a list of not null values from the `col_name` column of `df`."""
    _check_cols(df, [col_name])

    if 'O' in df[col_name] or pd.np.issubdtype(df[col_name].dtype, str): # if the column is of strings
        return [nom.lower() for nom in df[pd.notnull(df)][col_name] if not pd.isnull(nom)]
    else:
        return [nom for nom in df[pd.notnull(df)][col_name] if not pd.isnull(nom)]
def col_values(df, col_name):
    """ Return a list of not null values from the `col_name` column of `df`."""
    _check_cols(df, [col_name])

    if 'O' in df[col_name] or pd.np.issubdtype(df[col_name].dtype, str): # if the column is of strings
        return [nom.lower() for nom in df[pd.notnull(df)][col_name] if not pd.isnull(nom)]
    else:
        return [nom for nom in df[pd.notnull(df)][col_name] if not pd.isnull(nom)]
def col_values ( df , col_name ) : _check_cols ( df , [ col_name ] ) if 'O' in df [ col_name ] or pd . np . issubdtype ( df [ col_name ] . dtype , str ) : # if the column is of strings return [ nom . lower ( ) for nom in df [ pd . notnull ( df ) ] [ col_name ] if not pd . isnull ( nom ) ] else : return [ nom for nom in df [ pd . notnull ( df ) ] [ col_name ] if not pd . isnull ( nom ) ]
Return a list of not null values from the `col_name` column of `df`.
Return a list of not null values from the col_name column of df .