Question

我有以下输出：

output = [{'test1': [('No Data', '[Auto] Clock in sync with NTP')]},
          {'test2': [('No Data', '[Auto] Clock in sync with NTP'),
                     ('No Data','Lambda - Concurrent Execution Limit')
          }]

所需的数据框：

                  test1                                            test2
0 'No Data', '[Auto] Clock in sync with NTP')     'No Data', '[Auto] Clock in sync with NTP'
1                                                 'No Data','Lambda - Concurrent Execution Limit'

from pprint import pprint
import pandas as pd

df = pd.json_normalize(output)
pprint(df)

无法按需工作。你可以帮帮我吗？

Answer 1

output = [{'test1': [('No Data', '[Auto] Clock in sync with NTP')]},
          {'test2': [('No Data', '[Auto] Clock in sync with NTP'),
                     ('No Data','Lambda - Concurrent Execution Limit')]
          }]

您可以这样做，但是让列表成为熊猫数据框中的单元格不是一个好主意。

pd.concat([pd.DataFrame(o) for o in output], axis=1)

熊猫-字典与数据框

1 个答案: