Python Pandas：透视数据帧的某些列

Question

I am trying to pivot a column but keep surrounding columns in tact. Here is an example dataframe:

index id week  description
0     1  10-11 failure1 
1     2  10-11 failure2
2     2  10-11 failure3
3     2  10-18 failure1
4     3  10-18 failure1
5     3  10-25 failure3
6     3  10-25 failure3
7     4  10-25 failure2

I would like the resulting dataframe to look something like:

index week failure1 failure2 failure3
0     10-11   1
1     10-11            2
2     10-11                     2
3     10-18   2
4     10-18   3
5     10-25                     3
6     10-25                     3
7     10-25            4

Where the description column has been pivoted and the values of the id column populate the values

After trying:

df.pivot(index=["index","week], columns="description",values="id"

I get an error of length of passed values is x(length of dataframe), index implies 2

Answer 1

注意：您可能需要重置 df 的索引才能访问数据透视索引。

df.pivot(index=[“index”,”week”], columns=“description”, values=“id”)