我正在看這個(gè)系列https://www.youtube.com/watch?v=wlnx-7cm4Gg&list=PL5tcWHG-UPH2zBfOz40HSzcGUPAVOOnu1這是關(guān)于使用 tweepy (python) 挖掘推文，并且該人將推文與所有內(nèi)容（例如 created_at、 id, id_str, text) 然后他在 Pandas 中使用 Dataframes 來僅存儲(chǔ)文本。這種方式有效嗎？我如何只在 Json 文件中存儲(chǔ)“文本”而不是所有其他詳細(xì)信息？代碼：ACCESS_TOKEN = "xxxxxxxxxxxxxxxxxxxxx"ACCESS_TOKEN_SECRET = "xxxxxxxxxxxxxxxxxxxxxxxxx"CONSUMER_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx"CONSUMER_SECRET = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"import tweepyimport numpy as npimport pandas as pd# import twitter_credentialsclass TwitterAuthenticator():    def authenticate_twitter_app(self):        auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)        auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)        return authclass TwitterStreamer():    """        Class for streaming and processing live tweets.    """    def __init__(self):        self.twitter_authenticator = TwitterAuthenticator()    def stream_tweets(self, fetched_tweets_filename, hash_tag):        # This handles Twitter authetification and the connection to Twitter Streaming API        listener = TwitterListener(fetched_tweets_filename)        auth = self.twitter_authenticator.authenticate_twitter_app()        # api = tweepy.API(auth)        stream = tweepy.Stream(auth,listener)        stream.filter(track = hash_tag)class TwitterListener(tweepy.StreamListener):    """    This is a basic listener class that just prints received tweets to stdout.    """    def __init__(self, fetched_tweets_filename):        self.fetched_tweets_filename = fetched_tweets_filename    def on_data(self, data):        try:            print(data)            with open(self.fetched_tweets_filename, 'a') as tf:                tf.write(data)            return True        except BaseException as e:            print("Error on_data %s" % str(e))        return True如果問題不清楚，請(qǐng)將其注釋掉，我會(huì)嘗試編輯問題。