使用 Json 迭代 API，

Question

导入请求 导入json 将 numpy 导入为 np 将熊猫导入为 pd

url = "https://financialmodelingprep.com/api/v3/financial-statement-growth/PETS" JC = requests.get(url).json()

content = json.dumps(JC, indent = 4, sort_keys=True)

日期 = ["PETS", "APPL"]

dates_list =[]

对于日期中的日期： JC = requests.get("https://financialmodelingprep.com/api/v3/financial-statement-growth/"+ 日期).json()

dates_list.append(JC['growth'])

数据集 = pd.DataFrame(dates_list) dataset.sample(5)

我得到这个错误：

KeyError Traceback（最近一次调用最后一次） 在 6 JC = requests.get("https://financialmodelingprep.com/api/v3/financial-statement-growth/"+ 日期).json() 7 ----> 8 dates_list.append(JC['growth']) 9 10 数据集 = pd.DataFrame(dates_list)

KeyError: '成长'

Answer 1

import requests 
import json 
import numpy as np 
import pandas as pd

url = "https://financialmodelingprep.com/api/v3/financial-statement-growth/PETS" 
JC = requests.get(url).json()

content = json.dumps(JC, indent = 4, sort_keys=True)

dates = ["PETS", "AAPL", "APPL"]

dates_list =[]

for dates in dates: 

    JC = requests.get("https://financialmodelingprep.com/api/v3/financial-statement-growth/"+ dates).json()
    if JC == {}:
        print "invalid ticker ... "
    else:
        dates_list.append(JC['growth'])


dataset = pd.DataFrame(dates_list)
print dataset

首先股票代码APPL在SEC数据库中不存在https://www.sec.gov/cgi-bin/browse-edgar?CIK=APPL&owner=exclude&action=getcompany 然后api返回一个空目录，其中没有出现密钥增长。您应该捕获错误，您可以在将值添加到 dates_lists 之前检查字典是否为空

控制台输出

fmp_team:fmp $ python stackoverflow.py 
invalid ticker ... 
                                                  0                                                  1   ...                                                 9                                                  10
0  {u'Weighted Average Shares Diluted Growth': u'...  {u'Weighted Average Shares Diluted Growth': u'...  ...  {u'Weighted Average Shares Diluted Growth': u'...                                               None
1  {u'Weighted Average Shares Diluted Growth': u'...  {u'Weighted Average Shares Diluted Growth': u'...  ...  {u'Weighted Average Shares Diluted Growth': u'...  {u'Weighted Average Shares Diluted Growth': u'...

[2 rows x 11 columns]