Python 3.x python：删除一列中由逗号分隔的多个条目

我在excel中有一个名为sorted_list的表，如下所示：

+-------------------+--------------------------------+---+----------------------------------------------------------------------------------------------------------+---------------------------------------------------------------------------------+------+------+
| P33151            | partially reviewed             | 9 | other code                                                                                               | Homo sapiens (Human); Pan troglodytes (Chimpanzee)                              |  784 | 100% |
| B4DMA7            | unreviewed                     | 1 | B4DMA7                                                                                                   | Homo sapiens (Human)                                                            |  779 | 100% |
| A8K0L9            | unreviewed                     | 1 | A8K0L9                                                                                                   | Homo sapiens (Human)                                                            |  828 | 100% |
| B4DTP0            | unreviewed                     | 1 | B4DTP0                                                                                                   | Homo sapiens (Human)                                                            |  525 | 100% |
| D3DSM0            | unreviewed                     | 1 | D3DSM0                                                                                                   | Homo sapiens (Human)                                                            |  712 | 100% |
| A8K0L1            | unreviewed                     | 1 | A8K0L1                                                                                                   | Homo sapiens (Human)                                                            |  781 | 100% |
| P06756,L7RXH0     | partially reviewed and UniParc | 8 | P06756; L7RXH0; UPI0001BE65FF; UPI000DF0CE97; UPI0003E68261; UPI0002A11580; UPI0000112063; UPI0012318420 | Homo sapiens (Human); ?                                                         | 1048 | 100% |
| Q59EQ1            | unreviewed                     | 8 | A0A2J8RMA6; Q59EQ1; H3BR78; H3BPQ2; H3BSM4; H3BQH2; H3BP26; H3BQB5                                       | Pongo abelii (Sumatran orangutan) (Pongo pygmaeus abelii); Homo sapiens (Human) |  670 | 100% |
| A0A024R8K7        | partially reviewed and UniParc | 3 | A0A024R8K7; P16144-2; UPI0003EAE94B                                                                      | Homo sapiens (Human)                                                            | 1752 | 100% |
| P11279,A0A024RDY3 | partially reviewed             | 3 | P11279; A0A024RDY3; B3KRY3                                                                               | Homo sapiens (Human)                                                            |  417 | 100% |
| B4DFP0            | unreviewed                     | 1 | B4DFP0                                                                                                   | Homo sapiens (Human)                                                            |  382 | 100% |
| J3KRI5            | unreviewed                     | 2 | J3KRI5; H2QB90                                                                                           | Homo sapiens (Human); Pan troglodytes (Chimpanzee)                              |  744 | 100% |
| B2RCN5            | unreviewed                     | 1 | B2RCN5                                                                                                   | Homo sapiens (Human)                                                            |  916 | 100% |
| Q9NR97            | reviewed                       | 1 | Q9NR97                                                                                                   | Homo sapiens (Human)                                                            | 1041 | 100% |
| Q02846            | reviewed                       | 1 | Q02846                                                                                                   | Homo sapiens (Human)                                                            | 1103 | 100% |
| Q9NY15            | reviewed                       | 1 | Q9NY15                                                                                                   | Homo sapiens (Human)                                                            | 2570 | 100% |
+-------------------+--------------------------------+---+----------------------------------------------------------------------------------------------------------+---------------------------------------------------------------------------------+------+------+

我感兴趣的是将第一列的值与其他表匹配，但是col1中的某些行有多个值。 我希望用单个值提取每一行（删除“，”之后的部分），然后将其与其他表的

preppi

列

preppi['prot1']

到目前为止我使用的代码是

col_one_list = sorted_list['id'].tolist()
print(list(col_one_list))
filepath= "/Users/saheeba/Downloads/preppi_final.csv"
preppi = pd.read_csv(filepath)
df = preppi.loc[preppi['prot1'].isin(col_one_list)]
print(df.shape)

但它将数据保留在行中，第一列中有两个值，例如<代码>P06756，L7RXH0

---

关于如何避免这种情况，有什么建议吗？

尝试通过拆分分隔符上的第一列（此处为逗号）并保留第一个元素来创建一个新列。对于没有分隔符的行，您将获得剩余的唯一元素（元素本身就是分隔符），对于剩余的行，您将获得第一个元素。创建该列后，应用已使用该列的逻辑

这对我不起作用，因为对我来说，每个列中的项目数量不一样