将行转置为python列

Question

我有这样的数据

                         Column1  Column2    Column3
0  This Sushi is Awesome          NaN        NaN
1  NaN                            Id:        2261
2  NaN                            City:      Tokyo
3  NaN                            Food:      Positive
4  NaN                            Price:     NaN
5  This food is really expensi... NaN        NaN
6  NaN                            Id:        3`
7  NaN                            City:      Osaka
8  NaN                            Food:      Negative
9  NaN                            Price:     Negative

我写了这样的代码，但是我出错了

pivoted = data.pivot(index='Column1',columns='Column2', values='Column3')

ValueError：索引包含重复的条目，无法重塑

数据透视表也不起作用

我想要这样的输出

0                                 Id         City      Food      Price
1  This Sushi is Awesome          2261       Tokyo     Positive  NaN
2  This food is really expensi... 3          Osaka     Negative  Negative

Answer 1

在pivot之前进行预处理-检查每个Column1的缺失值，然后向前填充，将:中的Column2从rstrip中删除，最后在{ {3}}：

m = df['Column1'].isnull()
df['Column1'] = df['Column1'].ffill()
df['Column2'] = df['Column2'].str.rstrip(':')

pivoted = df[m].pivot(index='Column1',columns='Column2', values='Column3')
print (pivoted)
Column2                         City      Food    Id     Price
Column1                                                       
This Sushi is Awesome          Tokyo  Positive  2261       NaN
This food is really expensive  Osaka  Negative    3`  Negative