def discrete_columns(df, ignore):
    """
    Return a list of the discrete columns in the
    dataframe `df`. `ignore` is a list|set|tuple with the
    names of the columns to skip.
    """
    lst = []
    for col in df:
        if array_kind.discrete(df[col]) and (col not in ignore):
            # Some columns are represented as object dtype
            # but may have compound structures as values.
            try:
                hash(df[col].iloc[0])
            except TypeError:
                continue
            lst.append(col)
    return lst
Return a list of the discrete columns in the
    dataframe `df`. `ignore` is a list|set|tuple with the
    names of the columns to skip.