用Python重组表

Question

我有一个表，其结构类似于：

[["A","1","12"],
["A","2","112"],
["B","0","121"],
["B","1","21"],
["B","2","51"]]

我需要将其更改为如下数据框：

   0  1  2
A  0  12 112
B 121 21 51

我尝试了栈功能，但是似乎没有用。

Answer 1

您可以使用pivot()：

df = pd.DataFrame(data).pivot(index=0, columns=1, values=2)
df

1    0   1    2
0              
A  NaN  12  112
B  121  21   51

如果需要精确修饰，请使用fillna()和rename_axis()：

df.fillna(0).rename_axis(None, axis="index").rename_axis(None, axis="columns")

df
     0   1    2
A    0  12  112
B  121  21   51

数据：

data = [["A","1","12"],
        ["A","2","112"],
        ["B","0","121"],
        ["B","1","21"],
        ["B","2","51"]]