utils.py 文件源码

def cross_join(df1, df2):
    """
    Return a dataframe that is a cross between dataframes
    df1 and df2

    ref: https://github.com/pydata/pandas/issues/5401
    """
    if len(df1) == 0:
        return df2

    if len(df2) == 0:
        return df1

    # Add as lists so that the new index keeps the items in
    # the order that they are added together
    all_columns = pd.Index(list(df1.columns) + list(df2.columns))
    df1['key'] = 1
    df2['key'] = 1
    return pd.merge(df1, df2, on='key').loc[:, all_columns]