pandas - 重写数据框

Question

我从字典生成 pandas DataFrame。如何获得预期的 DataFrame？

字典看起来像这样:

result = 
defaultdict(list, 76213.0: [76213.0, 97808.0, 377.0, 106118.0],
             133185.0: [133185.0, 132732.0])

我用来创建DataFrame的代码是

pd.DataFrame.from_dict(result, orient='index')

输出如下

            0     1        2     3    
76213     76213  97808    377  106118
133185    133185  132732  NaN   NaN

期望数据帧如下所示

0           1
76213     76213
76213     97808 
76213     377
76213     106188
133185    133185
133185    132732

Answer 1

理解

pd.DataFrame([[k, v] for k, V in result.items() for v in V])

          0         1
0   76213.0   76213.0
1   76213.0   97808.0
2   76213.0     377.0
3   76213.0  106118.0
4  133185.0  133185.0
5  133185.0  132732.0