如何从复杂列表创建 Pandas Dataframe

Question

我有以下查询结果集：

[{'192804': [{},
   [(1652994300000, 590.0),
    (1652994420000, 560.0),
    (1652996220000, 560.0),
    (1652996520000, 440.0),
    (1652997000000, 180.0),
    (1652997300000, 0.0)]]},
 {'192805': [{},
   [(1652995800000, 0.0),
    (1652997600000, 0.0),
    (1652999400000, 5.0),
    (1653001200000, 5.0),
    (1653003000000, 5.0),
    (1653048000000, 5.0)]]}]

我想在 pandas dataframe 中显示结果，如下所示：

               '192804' '192805'
1652994300000     590   
1652994420000     560   
1652995800000                 0
1652996220000     560   
1652996520000     440   
1652997000000     180   
1652997300000       0   
1652997600000                 0
1652999400000                 5
1653001200000                 5
1653003000000                 5
1653048000000                 5

有人知道该怎么做吗？

我努力了：

import pandas as pd
    
Data = [{'192804': [{},
   [(1652994300000, 590.0),
    ... .... ......  .......
    (1653048000000, 5.0)]]}]

df = pd.DataFrame(list(Data))

它给我一个结果，但不是我正在努力的格式。

Answer 1

使用 dict comprehension 展平复杂列表，然后创建一个 dataframe 并可选择对索引进行排序：

pd.DataFrame({k: dict(v[1]) for d in data for k, v in d.items()}).sort_index()

---

               192804  192805
1652994300000   590.0     NaN
1652994420000   560.0     NaN
1652995800000     NaN     0.0
1652996220000   560.0     NaN
1652996520000   440.0     NaN
1652997000000   180.0     NaN
1652997300000     0.0     NaN
1652997600000     NaN     0.0
1652999400000     NaN     5.0
1653001200000     NaN     5.0
1653003000000     NaN     5.0
1653048000000     NaN     5.0