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python之合并列名在列表中的 Pandas 列中的列表

2025年05月04日15haluo1

我有三个 Pandas 列,其中元素是 list。为了组合这些列表,我可以通过显式写列的名称和 + 将它们放在一起

df = pd.DataFrame({'allmz':([[1,2,3],[2,4,5],[2,5,5],[2,3,5],[1,4,5]]),'allint':([[11,31,31],[21,41,51],[41,51,51],[11,31,51],[1,51,11]]), 'allx':([[6,7,3],[2,4,5],[2,5,5],[2,9,5],[3,4,5]])}) 
df['new'] = df['allmz'] + df['allint'] + df['allint'] 
print df 
 
      allint      allmz       allx                                new 
0  [11, 31, 31]  [1, 2, 3]  [6, 7, 3]  [1, 2, 3, 11, 31, 31, 11, 31, 31] 
1  [21, 41, 51]  [2, 4, 5]  [2, 4, 5]  [2, 4, 5, 21, 41, 51, 21, 41, 51] 
2  [41, 51, 51]  [2, 5, 5]  [2, 5, 5]  [2, 5, 5, 41, 51, 51, 41, 51, 51] 
3  [11, 31, 51]  [2, 3, 5]  [2, 9, 5]  [2, 3, 5, 11, 31, 51, 11, 31, 51] 
4   [1, 51, 11]  [1, 4, 5]  [3, 4, 5]    [1, 4, 5, 1, 51, 11, 1, 51, 11] 

但是,如果我有太多的列名来写每个列名,有没有办法通过循环(或不循环)列名列表来做到这一点: columns = ['allmz','allint','allx'] 代替?

请您参考如下方法:

选项 1
在列上切片并沿第一个轴调用 sum。

df['new'] = df[['allmz','allint','allx']].sum(axis=1) 

df 
         allint      allmz       allx                             new 
0  [11, 31, 31]  [1, 2, 3]  [6, 7, 3]  [1, 2, 3, 11, 31, 31, 6, 7, 3] 
1  [21, 41, 51]  [2, 4, 5]  [2, 4, 5]  [2, 4, 5, 21, 41, 51, 2, 4, 5] 
2  [41, 51, 51]  [2, 5, 5]  [2, 5, 5]  [2, 5, 5, 41, 51, 51, 2, 5, 5] 
3  [11, 31, 51]  [2, 3, 5]  [2, 9, 5]  [2, 3, 5, 11, 31, 51, 2, 9, 5] 
4   [1, 51, 11]  [1, 4, 5]  [3, 4, 5]   [1, 4, 5, 1, 51, 11, 3, 4, 5] 

选项 2
np.concatenate 的另一种选择:

v = df[['allmz','allint','allx']].values.tolist() 
df['new'] = np.concatenate(v, axis=0).reshape(len(df), -1).tolist() 

df 
 
         allint      allmz       allx                             new 
0  [11, 31, 31]  [1, 2, 3]  [6, 7, 3]  [1, 2, 3, 11, 31, 31, 6, 7, 3] 
1  [21, 41, 51]  [2, 4, 5]  [2, 4, 5]  [2, 4, 5, 21, 41, 51, 2, 4, 5] 
2  [41, 51, 51]  [2, 5, 5]  [2, 5, 5]  [2, 5, 5, 41, 51, 51, 2, 5, 5] 
3  [11, 31, 51]  [2, 3, 5]  [2, 9, 5]  [2, 3, 5, 11, 31, 51, 2, 9, 5] 
4   [1, 51, 11]  [1, 4, 5]  [3, 4, 5]   [1, 4, 5, 1, 51, 11, 3, 4, 5]