[英]unpack list in pandas dataframe python
I have a dataframe having column a,b,c.我有一个包含 a、b、c 列的数据框。 And column c has data in list datatype.
并且 c 列具有列表数据类型中的数据。 So I want to unwind/unpacked/explode the each element of list as new row.
所以我想将列表的每个元素展开/解压/分解为新行。
so, our input is like below.所以,我们的输入如下。
a b c
0 1 2 [1, {'k': 1}, 2]
1 3 2 [{'m': 2}, {'k': 2}, 2]
And our output should be like below.我们的输出应该如下所示。
a b c
0 1 2 1
1 1 2 {'k': 1}
2 1 2 2
3 3 2 {'m': 2}
4 3 2 {'k': 2}
5 3 2 2
Sp, as you can in output, each element of list is in row and other column a and b values are repeating corresponding to list element Sp,正如您可以在输出中一样,列表的每个元素都在行中,其他列 a 和 b 值重复对应于列表元素
The solutions from the questions linked in the comments are outdated.评论中链接的问题的解决方案已过时。 These days you can just:
这些天你可以:
df.explode('c')
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