相关疑难解决方法(0)

当我尝试使用tweepy进行twitter身份验证时,我收到以下错误.

  File "/usr/local/lib/python2.7/dist-packages/tweepy/models.py", line 146, in followers
    return self._api.followers(user_id=self.id, **kargs)
  File "/usr/local/lib/python2.7/dist-packages/tweepy/binder.py", line 197, in _call
    return method.execute()
  File "/usr/local/lib/python2.7/dist-packages/tweepy/binder.py", line 173, in execute
    raise TweepError(error_msg, resp)
tweepy.error.TweepError: Not authorized.

我不是在构建一个Web应用程序.因此,身份验证更简单.

consumer_key="----------"
consumer_secret="----------"
access_token="--------------"
access_token_secret="-----------------"

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)

api = tweepy.API(auth)

api.get_user('---').followers()

在Python 3中,我制作程序以在Twitter中提取帖子和喜欢:

import tweepy
import pandas as pd

consumer_key = ''
consumer_secret = ''
access_token = ''
access_token_secret = ''
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)

此函数接收配置文件的教学分类(仅适用于数据库组织)和配置文件的名称.它创建一个包含字典的列表,然后返回:

def linhadotempo(posicao, valor):
    tela = api.user_timeline(valor) 
    bolha = []
    for status in tela:
        dicionario = {"nome": valor, "posicionamento": posicao, "posts_links": status.text, "curtidas": status.favorite_count}
        bolha.append(dicionario)
    return bolha

Twitter个人资料的名称列表及其教学评级.然后转换成数据帧:

data = {
'nome': ['jeanwyllys_real', 'lucianagenro', 'jairbolsonaro', 'MBLivre'],
'posicionamento': ['esquerda', 'esquerda', 'direita', 'direita']
        }
perfis = pd.DataFrame(data, columns=['nome','posicionamento'])
perfis.reset_index()
    index   nome    posicionamento
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