pandas json_normalize 返回空 dataframe

Question

I am trying to normalise fetched Twitter json data. The data is being fetched from the twitter API but while normalizing it the dataframe returns empty. I printed the incoming data so I am sure that the data is been fetched. My code:

    def API_scrap(self, name_list, count_num,auth):
        api = tweepy.API(auth) 
        fail_list = []
        user_dfs = {}
        count = 0
        for name in name_list:
            if count % 300 == 0:
                print(count)
            count += 1
            try:
                data = api.user_timeline(name, count=count_num, tweet_mode='extended')
                user_dfs[name] = pd.DataFrame()
                for i in range(len(data)):
                    jdata = pd.json_normalize(data[i]._json)
                    user_dfs[name] = user_dfs[name].append(jdata, ignore_index=True)
            except:
                fail_list.append(name)
                continue
        print(user_dfs) 
        return user_dfs, fail_list

Output which I am getting is:

0
{871036856434950144: Empty DataFrame
Columns: []
Index: [], 2537962288: Empty DataFrame
Columns: []
Index: [], 2436012276: Empty DataFrame
Columns: []

It would be great if someone can help me out here.

Thank you

Answer 1

Upgraded pandas to the latest version