在多列中提取字符串列答案

【问题标题】：Extract string column in multiple columns在多列中提取字符串列
【发布时间】：2020-12-17 17:13:32
【问题描述】：

我有下一个df：

Match                       Count
Asren_Blue_Coached           879
Asren_Blue_NotCoached        721
Asren_RED_Coached            6567
Asren_RED_NotCoached         764
Asren_White_Coached          762
Asren_White_NotCoached       431
Asren_Yellow_Coached         375
Asren_Yellow_NotCoached      412
Hrew_Blue_Coached            689
Hrew_Blue_NotCoached         634
...

我想添加三个新列，

“匹配”列中下划线前的每个单词一列

因此，预期的输出如下所示：

Match                       NewCol1   NewCol2    NewCol3      Count    
Asren_Blue_Coached           Asren      Blue     Coached       879      
Asren_Blue_NotCoached        Asren      Blue     NotCoached    721
Asren_RED_Coached            Asren      RED      Coached       6567
Asren_RED_NotCoached         Asren      RED      NotCoached    764
Asren_White_Coached          Asren      White    Coached       762
Asren_White_NotCoached       Asren      White    NotCoached    431
Asren_Yellow_Coached         Asren      Yellow   Coached       375
Asren_Yellow_NotCoached      Asren      Yellow   NotCoached    412
Hrew_Blue_Coached            Hrew       Blue     Coached       689
Hrew_Blue_NotCoached         Hrew       Blue     NotCoached    634
...

你知道我该怎么做吗？

我正在 Jupyter 中使用 pandas

【问题讨论】：

标签： pandas slice extract

【解决方案1】：

您可以使用str.split，并将返回值分配给您希望命名的3列，并将delimiter指定为“_”

见下文：

df[['NewCol1', 'NewCol2','NewCol3']] = df['Match'].str.split('_', expand=True)

打印你想要的输出：

print(df)
                     Match  Count NewCol1 NewCol2     NewCol3
0       Asren_Blue_Coached    879   Asren    Blue     Coached
1    Asren_Blue_NotCoached    721   Asren    Blue  NotCoached
2        Asren_RED_Coached   6567   Asren     RED     Coached
3     Asren_RED_NotCoached    764   Asren     RED  NotCoached
4      Asren_White_Coached    762   Asren   White     Coached
5   Asren_White_NotCoached    431   Asren   White  NotCoached
6     Asren_Yellow_Coached    375   Asren  Yellow     Coached
7  Asren_Yellow_NotCoached    412   Asren  Yellow  NotCoached
8        Hrew_Blue_Coached    689    Hrew    Blue     Coached
9     Hrew_Blue_NotCoached    634    Hrew    Blue  NotCoached

【讨论】：

【解决方案2】：

您可以使用Series.str.split() 在分隔符上拆分列。然后只需标记expand=True 即可获取新列而不是列表。

df["Match"].str.split("_", expand=True)

【讨论】：