迭代DataFrame行处理NFL赛程 按比赛周生成独立新DataFrame

我需要为每个NFL比赛周生成一个单独的DataFrame，格式如下：

Week 1
Home                       Away
Arizona Cardinals          Tennessee Titans
Los Angeles Chargers       Washington Football Team
.
.
.

Week 2
Home                       Away
.
.
.

网格格式的赛程DataFrame df_sched，内容如下：

print(df_sched)
0   Week      Arizona Cardinals           Atlanta Falcons      Baltimore Ravens  ...    San Francisco 49ers       Tampa Bay Buccaneers       Tennessee Titans Washington Football Team
1      1      @Tennessee Titans       Philadelphia Eagles    @Las Vegas Raiders  ...         @Detroit Lions             Dallas Cowboys      Arizona Cardinals     Los Angeles Chargers
2      2      Minnesota Vikings     @Tampa Bay Buccaneers    Kansas City Chiefs  ...   @Philadelphia Eagles            Atlanta Falcons      @Seattle Seahawks          New York Giants
3      3  @Jacksonville Jaguars          @New York Giants        @Detroit Lions  ...      Green Bay Packers          @Los Angeles Rams     Indianapolis Colts           @Buffalo Bills
4      4      @Los Angeles Rams  Washington Football Team       @Denver Broncos  ...       Seattle Seahawks      @New England Patriots         @New York Jets         @Atlanta Falcons

• 创建列名为['Away', 'Home']的空临时DataFrame df_temp，使用iterrows遍历原DataFrame行填充数据。
• 判断单元格值是否包含@：若包含则单元格中@后的球队为Home（主队），列头对应球队为Away（客队）；反之列头对应球队为主队，单元格值为客队。
• 最终输出18个按周拆分的DataFrame，分别命名为df_week1、df_week2、……、df_week18。

内容的提问来源于stack exchange，提问作者Daniel