将字典的特定字典转换为Pandas数据框-Pandas [英] Convert specific dictionary of dictionary into pandas dataframe - pandas

问题描述

我有如下所示的字典

d1：

{'teachers': 49, 
      'students': 289,  
      'R': 3.7, 
      'holidays': 165, 
      'Em': {'from': '2020-02-29T20:00:00.000Z', 'to': '2020-03-20T20:00:00.000Z', 
                  'F': 3, 'C': 2},
      'OS':18 
      'sC': {'from': '2020-03-31T20:00:00.000Z', 'to': '2020-05-29T20:00:00.000Z', 
                  'F': 25, 'C': 31}}

我想将上述字典转换为数据框，如下所示。 / p>

I would like to convert above dictionary as a dataframe as shown below in pandas.

teachers  students R   holidays  Em_from     Em_to       Exam_F  Exam_C  OS  sC_from         sC_to     sC_F   sC_C
49        289      3.7 165       2020-02-29  2020-03-20  3       2       18  2020-03-31  2020-05-29    25     31

推荐答案

您可能正在寻找 pandas.json_normalize ：

You're probably looking for pandas.json_normalize:

d = {'teachers': 49,
      'students': 289,
      'R': 3.7,
      'holidays': 165,
      'Em': {'from': '2020-02-29T20:00:00.000Z', 'to': '2020-03-20T20:00:00.000Z',
                  'F': 3, 'C': 2},
      'OS':18,
      'sC': {'from': '2020-03-31T20:00:00.000Z', 'to': '2020-05-29T20:00:00.000Z',
                  'F': 25, 'C': 31}}


print(pd.json_normalize(d, sep='_'))

打印：

   teachers  students    R  ...                     sC_to  sC_F sC_C
0        49       289  3.7  ...  2020-05-29T20:00:00.000Z    25   31

[1 rows x 13 columns]

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