使用tweepy从Twitter获取热门话题。有更好的方法吗？

Question

#import time
import tweepy
#import csv
import keys

#WOEID 455825
auth = tweepy.OAuthHandler("", "")
auth.set_access_token("",
                      "")


auth = tweepy.OAuthHandler(keys.consumer_key,
                           keys.consumer_secret)

auth.set_access_token(keys.access_token,


                      keys.access_token_secret)

api = tweepy.API(auth, wait_on_rate_limit = True,
                 wait_on_rate_limit_notify = True)


trends_available = api.trends_available()

print(f"Number of Trends availables: {len(trends_available)}")
print()
rj_trends = api.trends_place(id =23424768 )
#23424768 Brasil
#print(f"RJ trending topics: \n{rj_trends}")
for trend in rj_trends:
    for i in trend.values():
        for x in i:
            if x["tweet_volume"] is not None:
                if  x["tweet_volume"] > 10000:
                     print(x["name"], x["tweet_volume"])

输出示例：

#PINKChella1Year 49997
#ConcertForBTS 108750

我使用了大量的for和nested if。是否有一种巧妙的方法来获取热门话题？该代码正在工作，但我不知道我遇到了错误：

 if x["tweet_volume"] is not None:
TypeError: string indices must be integers

如何解决？

Answer 1

在这种情况下，rj_trends是包含列表的字典。

所以您可以这样做：

for trend in rj_trends[0]['trends']: 
    if trend['tweet_volume'] is not None and trend['tweet_volume'] > 10000: 
        print(trend['name'], trend['tweet_volume'])

结果：

#BaileDoRennanDaPenhaEmCasa 18059
#LiveGabiMartinsEmCasa 75254
ImaginaSamba 18487
TRÊS MILHÕES GIZELLYBICALHO 42252
Djonga 64076
Renan 24669
Maxon 95250
Felipe Neto 117287
#DennisNaFlaTV 15938
Início 88489
Roger 41209
America 816921
LUCASVIANA TE AMAMOS 36672
Froy 12630
IMUNIDADE PRA FLAY 19824
Leal 22745
#OneDirectionSave2020 65309
#PINKChella1year 60945