[英]Convert single df column to list of lists
How can you convert a single df column to a list of lists?如何将单个 df 列转换为列表列表? using the df below, how can you return
X
to a list of lists.使用下面的 df,如何将
X
返回到列表列表。
df = pd.DataFrame({
'X' : [1,2,3,4,5,2,3,4,5,6],
'Y' : [11,12,13,14,15,11,12,13,14,15],
})
l = df['X'].values.tolist()
[1, 2, 3, 4, 5, 2, 3, 4, 5, 6]
Converting two columns is possible:可以转换两列:
l = df.values.tolist()
[[1, 11], [2, 12], [3, 13], [4, 14], [5, 15], [2, 11], [3, 12], [4, 13], [5, 14], [6, 15]]
But I just want X.但我只想要X。
[[1], [2], [3], [4], [5], [2], [3], [4], [5], [6]]
Some of these solutions seem overcomplicated.其中一些解决方案似乎过于复杂。 I believe this should do the job.
我相信这应该可以完成这项工作。
res_list = [[elem] for elem in df['X']]
If you want this output如果你想要这个输出
[[1], [2], [3], [4], [5], [2], [3], [4], [5], [6]]
when starting with the input: [1,2,3,4,5,2,3,4,5,6]
从输入开始时:
[1,2,3,4,5,2,3,4,5,6]
then this should work fine那么这应该可以正常工作
l = [[i] for i in df['X'].values.tolist()]
Try this:尝试这个:
df['X'].apply(lambda x: [x]).tolist()
output:输出:
[[1], [2], [3], [4], [5], [2], [3], [4], [5], [6]]
IIUC国际大学联盟
df.X.values[:,None].tolist()
Out[85]: [[1], [2], [3], [4], [5], [2], [3], [4], [5], [6]]
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