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将(MultiIndex)Dataframe转换为dicts列表

[英]Convert (MultiIndex) Dataframe to a list of dicts

I have a multi index dataframe: 我有一个多索引数据框:

                       C
 A         B
25        58        16.0
          59       135.0
          60        36.0

which I want to convert to a list of dicts/objects: 我想转换为dicts / objects列表:

[
     {A: 25, B: 58, C: 16},
     {A: 25, B: 59, C: 135},
     {A: 25, B: 60, C: 36}
]

I am able to reset the index df.reset_index : 我能够重置索引df.reset_index

           A        B      C
0         25       58   16.0
1         25       59  135.0
2         25       60   36.0

and use df.to_dict('index') to get this: 并使用df.to_dict('index')来获取:

[
     {0: {A: 25, B: 58, C: 16}},
     {1: {A: 25, B: 59, C: 135}},
     {2: {A: 25, B: 60, C: 36}}
]

which is close, but I don't want to include the index in the resulting dict. 这是接近的,但我不想在最终的dict中包含索引。

Is there a simple way to achieve this? 有没有一种简单的方法来实现这一目标?

use to_dict with records 使用to_dict records

df.reset_index().to_dict('records')

[{'A': 25.0, 'B': 58.0, 'C': 16.0},
 {'A': 25.0, 'B': 59.0, 'C': 135.0},
 {'A': 25.0, 'B': 60.0, 'C': 36.0}]

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