关于dicts的词典到DataFrame的词典

I'd like to store JSON data in a Python Pandas DataFrame

我想将JSON数据存储在Python Pandas DataFrame中

my JSON data is a dict of dicts of dicts like this

我的JSON数据是像这样的dicts的词典

d = {
  "col1": {
    "row1": {
      "data1": "0.87", 
      "data2": "Title col1", 
      "data3": "14.4878", 
      "data4": "Title row1"
    }, 
    "row2": {
      "data1": "15352.3", 
      "data2": "Title col1", 
      "data3": "14.9561", 
      "data4": "Title row2"
    }, 
    "row3": {
      "data1": "0", 
      "data2": "Title col1", 
      "data3": "16.8293", 
      "data4": "Title row3"
    }
  }, 
  "col2": {
    "row1": {
      "data1": "0.87", 
      "data2": "Title col2", 
      "data3": "24.4878", 
      "data4": "Title row1"
    }, 
    "row2": {
      "data1": "15352.3", 
      "data2": "Title col2", 
      "data3": "24.9561", 
      "data4": "Title row2"
    }, 
    "row3": {
      "data1": "0", 
      "data2": "Title col2", 
      "data3": "26.8293", 
      "data4": "Title row3"
    }
  }
}

I did this to put my data in a DataFrame

我这样做是为了将我的数据放在DataFrame中

import pandas as pd
df=pd.DataFrame(d)

I get this

我明白了

In [1]: df
Out[1]: 
                                                   col1                                               col2
row1  {'data4': 'Title col1', 'data1': '0.87', 'data3':  {'data4': 'Title col1', 'data1': '0.87', 'data3':
row2  {'data4': 'Title col2', 'data1': '15352.3', 'data  {'data4': 'Title col2', 'data1': '15352.3', 'data
row3  {'data4': 'Title col3', 'data1': '0', 'data3': '1  {'data4': 'Title col3', 'data1': '0', 'data3': '2

My problem is that my DataFrame contains dicts instead of values.

我的问题是我的DataFrame包含dicts而不是值。

I wonder how I can manage multidimensionnal data (more than 2 dimensions... 3 dimensions here) with a Pandas DataFrame.

我想知道如何使用Pandas DataFrame管理多维数据（超过2维... 3维）。

Each dict inside DataFrame have the same keys.

DataFrame中的每个字典都有相同的键。

1 个解决方案

#1

df = pd.Panel.from_dict(d).to_frame()

output:

输出：

                   col1        col2
major minor                        
data1 row1         0.87        0.87
      row2      15352.3     15352.3
      row3            0           0
data2 row1   Title col1  Title col2
      row2   Title col1  Title col2
      row3   Title col1  Title col2
data3 row1      14.4878     24.4878
      row2      14.9561     24.9561
      row3      16.8293     26.8293
data4 row1   Title row1  Title row1
      row2   Title row2  Title row2
      row3   Title row3  Title row3

If you don't want use Panel:

如果您不想使用Panel：

pd.concat(map(pd.DataFrame, d.itervalues()), keys=d.keys()).stack().unstack(0)