从Twitter API获取结果并转换为DataFrame的步骤如下:
import tweepy
import pandas as pd
consumer_key = 'YOUR_CONSUMER_KEY'
consumer_secret = 'YOUR_CONSUMER_SECRET'
access_token = 'YOUR_ACCESS_TOKEN'
access_token_secret = 'YOUR_ACCESS_TOKEN_SECRET'
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
api.search()
方法来搜索特定的关键词或主题,并设置一些参数来限制结果的数量和时间范围。tweets = api.search(q='YOUR_KEYWORD', count=100, lang='en', result_type='recent')
data = pd.DataFrame(data=[tweet.text for tweet in tweets], columns=['Tweets'])
to_csv()
。data.to_csv('tweets.csv', index=False)
以上是从Twitter API获取结果并转换为DataFrame的基本步骤。根据具体需求,你还可以进一步扩展和优化代码,例如添加异常处理、数据筛选、数据可视化等功能。
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