将带有嵌套字典的 json 转换为带有 python 的数据框

Question

can someone explain how I convert the following json into a simple data frame with the following headings?

----- sample----

{
    "last_scanned_block": 14968718,
    "blocks": {
        "13965799": {
            "0x9603846aff5c425277e483de16179a68dbc739debcc5449ea99e45c9d0924430": {
                "165": {
                    "from": "0x0000000000000000000000000000000000000000",
                    "to": "0x01f87c337be5636Cd9B3D48F1159768A7e7837A5",
                    "value": 100000000000000000000000000,
                    "timestamp": "2022-01-08T16:19:02"
                }
            }
        },
        "13965820": {
            "0xd4a4122734a522c40504c8b0ab43b9aa40ac821cd9913179b3ae64e5b166fc57": {
                "226": {
                    "from": "0x01f87c337be5636Cd9B3D48F1159768A7e7837A5",
                    "to": "0xEa3Fa123Eb40CEEaeED390D8d6dE6AF95f044AF7",
                    "value": 610000000000000000000000,
                    "timestamp": "2022-01-08T16:25:12"
                }
            }
        },

--- end----

I'd like the df to have the following 8 column headings and values for each row

(value examples for first row)

• Last_scanned_block: 14968718
• block: 13965799
• hex: 0x9603846aff5c425277e483de16179a68dbc739debcc5449ea99e45c9d0924430
• number: 165
• from: 0x0000000000000000000000000000000000000000
• to: 0x01f87c337be5636Cd9B3D48F1159768A7e7837A5
• value: 100000000000000000000000000
• timestamp: 2022-01-08T16:19:02

Thanks

Answer 1

I would make a new dictionary from the json that is passed in. Essentially instead of having nested dictionaries like you have above you want to get them into one simple dictionary according to your headings and values. It should be:

*heading name* : *list of values*

Essentially, the resulting format should be:

{"Last_scanned_block" : [14968718], "block" : [13965799], "hex" : ["0x9603846aff5c425277e483de16179a68dbc739debcc5449ea99e45c9d0924430"], "number" : [165], "from" : ["0x0000000000000000000000000000000000000000"], "to" : ["0x01f87c337be5636Cd9B3D48F1159768A7e7837A5"], "value": [100000000000000000000000000], "timestamp" : ["2022-01-08T16:19:02"]}

Then every time you read more data you just append it to each respective list in your dictionary.

Once you have your complete dictionary, you would use pandas. So something along the lines of:

import pandas
d = *the dictionary above*
frame = pandas.DataFrame(data = d)
print(frame)