Python 如何使用熊猫从列中解组数据？

我在某些数据格式方面遇到问题。我有一个csv数据，看起来像底部的数据

我很肯定熊猫身上也有这样的东西，尽管我在谷歌搜索词方面运气不好。我正在考虑某种换位，但我没有运气。我认为为了使数据更容易访问，我可能需要更像这样的格式的数据

   Bed  Week_Num  Day
0    3        27    1
0    3        27    1
0    3        27    2
1    1        35    2
1    1        35    2
1    1        35    1
1    1        35    1

最终目标是以索引和匹配可以正常工作的方式格式化此数据，并基于这些行对值求和

这里有一个指向我正在处理的数据集的链接，如果您想查看它的话。共有3张表，第二张表是一周的索引，第三张表是一张表，表中的值用于获得每行的最终总和

编辑：新链接

资料

#将数据复制到剪贴板并用以下行读取
df=pd.read_剪贴板（sep='，'）
床、周、日
3,"27, 27, 27","1, 1, 2"
1,"35, 35, 35, 35","2, 2, 1, 1"
2,"35, 35, 35, 36, 36","1, 1, 2, 2, 2"
1,"35, 35, 36, 36, 36, 36, 36","1, 2, 2, 2, 2, 2, 1"
3,"35, 36, 36, 36, 36, 36, 36","2, 2, 2, 2, 2, 1, 1"
2,"36, 36, 37","1, 2, 2"
3,"36, 37, 37, 37, 37, 37, 37","2, 2, 2, 2, 2, 1, 1"
2,"36, 37, 37, 37, 37, 37, 37","2, 2, 2, 2, 2, 1, 1"
2,"36, 37, 37, 37, 37, 37, 37","2, 2, 2, 2, 2, 1, 1"
3,"36, 37, 37, 37, 37, 37, 37","2, 2, 2, 2, 2, 1, 1"
2,"36, 37, 37, 37, 37, 37, 37","2, 2, 2, 2, 2, 1, 1"
3,"36, 37, 37, 37, 37, 37, 37","2, 2, 2, 2, 2, 1, 1"
4,"36, 37, 37, 37, 37, 37, 37","2, 2, 2, 2, 2, 1, 1"
2,"36, 37, 37, 37, 37, 37, 37","2, 2, 2, 2, 2, 1, 1"
2,"37, 37, 37, 38, 38, 38, 38","1, 1, 2, 2, 2, 2, 2"
2,"37, 37, 37, 38, 38, 38, 38","1, 1, 2, 2, 2, 2, 2"
2,"37, 37, 38","1, 2, 2"
2,"37, 37, 38, 38, 38, 38, 38, 38","1, 2, 2, 2, 2, 2, 1, 1"
2,"37, 38, 38, 38, 38, 38, 38","2, 2, 2, 2, 2, 1, 1"
2,"37, 38, 38, 38, 38, 38, 38","2, 2, 2, 2, 2, 1, 1"
3,"37, 38, 38, 38, 38, 38, 38","2, 2, 2, 2, 2, 1, 1"
3,"37, 38, 38, 38, 38, 38, 38","2, 2, 2, 2, 2, 1, 1"
3,"37, 38, 38, 38, 38, 38, 38","2, 2, 2, 2, 2, 1, 1"
3,"37, 38, 38, 38, 38, 38, 38","2, 2, 2, 2, 2, 1, 1"
2,"37, 38, 38, 38, 38, 38, 38","2, 2, 2, 2, 2, 1, 1"
2,"37, 38, 38, 38, 38, 38, 38","2, 2, 2, 2, 2, 1, 1"
2,"38, 38, 38, 38, 38, 38","2, 2, 2, 2, 1, 1"
2,"38, 38, 38, 38, 38","2, 2, 2, 2, 1"
2,"38, 38, 39","1, 2, 2"
3,"38, 39, 39, 39, 39, 39, 39","2, 2, 2, 2, 2, 1, 1"
2,"38, 39, 39, 39, 39, 39, 39","2, 2, 2, 2, 2, 1, 1"
3,"38, 39, 39, 39, 39, 39, 39","2, 2, 2, 2, 2, 1, 1"
3,"38, 39, 39, 39, 39, 39, 39","2, 2, 2, 2, 2, 1, 1"
2,"38, 39, 39, 39, 39, 39, 39","2, 2, 2, 2, 2, 1, 1"
4,"39, 39, 39, 39, 39, 39, 40","2, 2, 2, 1, 1, 2, 2"
2,"39, 39, 40","1, 2, 2"
4,"39, 40, 40, 40, 40, 40, 40","2, 2, 2, 2, 2, 1, 1"
2,"39, 40, 40, 40, 40, 40, 40","2, 2, 2, 2, 2, 1, 1"
3,"39, 40, 40, 40, 40, 40, 40","2, 2, 2, 2, 2, 1, 1"
2,"39, 40, 40, 40, 40, 40, 40","2, 2, 2, 2, 2, 1, 1"
4,"39, 40, 40, 40, 40, 40, 40","2, 2, 2, 2, 2, 1, 1"
1,"40, 40, 40, 40","2, 2, 2, 2"
3,"40, 41, 41, 41, 41, 41, 41","2, 2, 2, 2, 2, 1, 1"
4,"40, 41, 41, 41, 41, 41, 41","2, 2, 2, 2, 2, 1, 1"
2,"40, 41, 41, 41, 41, 41, 41","2, 2, 2, 2, 2, 1, 1"
2,"41, 41, 41, 42","1, 1, 2, 2"
2,"41, 42, 42, 42, 42, 42, 42","2, 2, 2, 2, 2, 1, 1"
2,"41, 42, 42, 42, 42, 42, 42","2, 2, 2, 2, 2, 1, 1"
2,"42, 42, 42, 43, 43, 43, 43, 43, 43, 43, 44, 44, 44, 44","1, 1, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2"
3,"42, 43, 43, 43, 43, 43, 43","2, 2, 2, 2, 2, 1, 1"
4,"43, 43, 43, 43, 43, 43","2, 2, 2, 2, 1, 1"
2,"43, 44, 44, 44, 44, 44, 44","2, 2, 2, 2, 2, 1, 1"
2,"44, 44, 45, 45, 45, 45, 45, 45, 45","1, 2, 2, 2, 2, 2, 1, 1, 2"
2,"44, 45, 45, 45, 45, 45, 45","2, 2, 2, 2, 2, 1, 1"
2,"45, 45, 45","1, 1, 2"
2,"46, 46, 46, 46, 46, 46, 46","2, 2, 2, 2, 1, 1, 2"
2,"46, 46, 46, 46, 46, 46, 46","2, 2, 2, 2, 1, 1, 2"
2,"47, 48, 48, 48, 48, 48, 48","2, 2, 2, 2, 2, 1, 1"
2,"47, 48, 48, 48, 48, 48","2, 2, 2, 2, 2, 1"
2,"47, 48, 48, 48, 48, 48, 48","2, 2, 2, 2, 2, 1, 1"
2,"47, 48, 48, 48, 48, 48, 48","2, 2, 2, 2, 2, 1, 1"
2,"47, 48, 48, 48, 48, 48, 48","2, 2, 2, 2, 2, 1, 1"
2,"47, 48, 48, 48, 48, 48, 48","2, 2, 2, 2, 2, 1, 1"
3,"47, 48, 48, 48, 48, 48, 48","2, 2, 2, 2, 2, 1, 1"
2,"47, 48, 48, 48, 48, 48, 48","2, 2, 2, 2, 2, 1, 1"
3,"48, 48, 48, 48, 48","2, 2, 2, 2, 1"
2,"48, 48, 48, 48, 48","2, 2, 2, 2, 1"
2,"48, 48, 48, 48, 48, 48","2, 2, 2, 1, 1, 2"
2,"48, 48, 48, 48","2, 2, 1, 1"
2,"48, 48, 48, 48","2, 2, 1, 1"
2,"48, 48, 48, 48","2, 1, 1, 2"
3,"48, 48, 48, 48","2, 1, 1, 2"
2,"48, 49, 49, 49, 49, 49, 49","2, 2, 2, 2, 2, 1, 1"
2,"48, 49, 49, 49, 49, 49, 49","2, 2, 2, 2, 2, 1, 1"
2,"50, 50, 50, 50, 50, 50","2, 2, 2, 2, 1, 1"
2,"50, 50, 51, 51, 51, 51","1, 2, 2, 2, 2, 2"
3,"50, 51, 51, 51, 51, 51, 51","2, 2, 2, 2, 2, 1, 1"
2,"51, 51, 51, 51, 51, 51, 51","2, 2, 2, 2, 1, 1, 2"
2,"51, 51, 52, 52, 52","1, 2, 2, 2, 2"
2,"51, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 2, 1, 1"
2,"51, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 2, 1, 1"
2,"51, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 2, 1, 1"
2,"51, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 2, 1, 1"
2,"51, 52, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 2, 1, 1, 2"
2,"51, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 2, 1, 1"
3,"51, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 2, 1, 1"
3,"51, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 2, 1, 1"
2,"52, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 1, 1, 2"
2,"52, 52, 52, 52, 52","2, 2, 2, 2, 1"
3,"52, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 1, 1, 2"
2,"52, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 1, 1, 2"
2,"52, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 1, 1, 2"
3,"52, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 1, 1, 2"
2,"52, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 1, 1, 2"
2,"52, 52, 52, 52, 52, 52, 52","2, 2, 2, 2, 1, 1, 2"
2,"52, 52, 52, 52, 52, 52, 53","2, 2, 2, 1, 1, 2, 2"
3,"52, 52, 52, 52, 52","2, 2, 1, 1, 2"
1,"52, 52, 52, 53, 53","1, 1, 2, 2, 2"
3,"52, 52, 52, 53","1, 1, 2, 2"
1,"52, 52, 52, 53, 53, 53, 53, 53, 53, 53","1, 1, 2, 2, 2, 2, 2, 1, 1, 2"
2,"52, 52, 52, 53, 53, 53, 53","1, 1, 2, 2, 2, 2, 2"
2,"52, 52, 53, 53, 53
df = (df
     .applymap(lambda x: str(x).split(','))
     .apply(pd.Series.explode)
     .apply(pd.to_numeric)
     .reset_index(drop=True))

print(df)

   Bed  Week_Num  Day
0    3        27    1
1    3        27    1
2    3        27    2
3    1        35    2
4    1        35    2
5    1        35    1
6    1        35    1