Question

我在创建带有多索引问题的Pandas Dataframe时遇到问题。在下面的数据中，您将看到其2个银行的数据，每个银行有2个资产，每个资产有3个功能。我的数据具有类似的结构，因此我想据此创建一个数据框。

Data = [[[2,4,5],[3,4,5]],[[6,7,8],[9,10,11]]]

Banks = ['Bank1', 'Bank2']

Assets = ['Asset1', 'Asset2']

Asset_feature = ['private','public','classified']

我尝试了多种方法来执行此操作，但始终无法创建准确的数据框。结果应如下所示：

      Asset1                      Asset2
      private public classified   private public classified
Bank1   2       4       5           3       4       5
Bank2   6       7       8           9       10      11

任何帮助将不胜感激。

Answer 1

import pandas as pd
import numpy as np
assets = ['Asset1', 'Asset2']
Asset_feature = ['private','public','classified']
Banks = ['Bank1', 'Bank2']
Data = [[[2,4,5],[3,4,5]],[[6,7,8],[9,10,11]]]
Data = np.array(Data).reshape(len(Banks),len(Asset_feature) * len(assets))


midx = pd.MultiIndex.from_product([assets, Asset_feature])
test = pd.DataFrame(Data, index=Banks, columns=midx)
test

给出此输出

       Asset1                    Asset2                  
      private public classified private public classified
Bank1       2      4          5       3      4          5
Bank2       6      7          8       9     10         11

创建具有多列索引的Pandas数据框

1 个答案: