[英]Python pandas: pivot DataFrame columns in rows
I have a pandas DataFrame as following, showing the scores of students in multiple subjects:我有一个 pandas DataFrame 如下,显示学生在多个科目的成绩:
Name Subject Score
0 Tom A 91
1 Tom B 92
2 Tom C 93
3 Bob A 94
4 Bob C 95
5 Ali B 96
6 Ali C 97
Note that not every student has scores in all subjects.请注意,并非每个学生在所有科目中都有分数。 I want to pivot it into a DataFrame like this:我想将 pivot 变成这样的 DataFrame :
Name A B C
0 Tom 91 92 93
1 Bob 94 95
2 Ali 96 97
The goals to achieve in this pivot:在此 pivot 中要实现的目标:
I'm new to pandas but I looked into DataFrame.pivot_table(), while unfortunately couldn't figure out the right way.我是 pandas 的新手,但我查看了 DataFrame.pivot_table(),但不幸的是找不到正确的方法。
You were right on with using a pivot_table to solve this:您正确地使用了pivot_table来解决这个问题:
df = df.pivot_table(index='Name', values='Score', columns='Subject') \
.reset_index() \
.rename_axis(None, axis=1)
print(df)
Output: Output:
Name A B C
0 Ali NaN 96.0 97.0
1 Bob 94.0 NaN 95.0
2 Tom 91.0 92.0 93.0
Pivot also works in this case: Pivot也适用于这种情况:
df = df.pivot(index='Name', values='Score', columns='Subject') \
.reset_index() \
.rename_axis(None, axis=1)
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