Question

我正在尝试规范化Json

{
...
"scoring":[
  {
    "id": "9e97e6fa-8fdb-4452-b930-d5c0b1ae4a6a",
    "full_name": "Tom Washington",
    "first_name": "Tom",
    "last_name": "Washington",
    "number": "49",
    "assignment": "Head Official",
    "experience": "27"
  },
  {
    "id": "c3f40018-e566-49d5-ad2a-6b7a2af0dfcc",
    "full_name": "J.T. Orr",
    "first_name": "J.T.",
    "last_name": "Orr",
    "number": "72"
  },
  {
    "id": "4362601e-767f-4b28-8b1a-9eb6606f2e36",
    "full_name": "Rodney Mott",
    "first_name": "Rodney",
    "last_name": "Mott",
    "number": "71",
    "assignment": "Official",
    "experience": "21"
  }
]
...
}

我正在从URL加载json

import json 
import pandas as pd 
from pandas.io.json import json_normalize #package for flattening json in pandas df
import urllib.request,json
from urllib.request import urlopen
import time

def fetchMatchDetails(url,csvPath):
 #url='https://api.sportradar.us/nba/xxxx'
     with urllib.request.urlopen(url)as url:
         d = json.loads(url.read().decode())



     gamesDf = json_normalize(d['scoring'])
     newDf=gamesDf[['id','full_name','first_name','last_name','number','assignment','experience']]

但有时在last_name或数字之间缺少少数列，在这种情况下，它在Python中显示为 key_error

如何为不存在的键设置一个nan或null值。

Answer 1

如果我理解您的要求正确，那么您的代码已经可以正常工作了。我试过了，它为缺少的键返回了NaN。到底是什么问题？

        full_name first_name   last_name number     assignment experience
0  Tom Washington        Tom  Washington     49  Head Official         27
1        J.T. Orr       J.T.         Orr     72            NaN        NaN
2     Rodney Mott     Rodney        Mott     71       Official         21

用缺少键为NAN或null的熊猫对Json进行标准化

1 个答案: