[英]How to transpose list elements from multiple columns into rows in pandas DataFrame?
I've got a dataframe like this: 我有一个这样的数据框:
args inputs
0 [a.pl, foo, -bar, baz] [a, b]
1 [a.pl, BAH, -bar, baz] [a, c]
There are multiple columns, and all cells contain a list of strings. 有多列,并且所有单元格都包含字符串列表。 How can I transpose these lists to produce this:
我如何转置这些列表以产生此结果:
args inputs
index i
0 1 a.pl a
2 foo b
3 -bar NaN
4 baz NaN
1 1 a.pl a
2 BAH c
3 -bar NaN
4 baz NaN
Something like stack
+ unstack
像
stack
+ unstack
df.stack().apply(pd.Series).stack().unstack(1)
Out[27]:
args inputs
0 0 a.pl a
1 foo b
2 -bar None
3 baz None
1 0 a.pl a
1 BAH c
2 -bar None
3 baz None
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