我正試圖從twitter推斷用戶位置方面的用戶名。解析提取用戶位置的用戶名推特
輸入:用戶列表有超過50K的用戶名
AkkiPritam,6.77E+17,12/15/2015,#chennaifloods
AkkiPritam,6.77E+17,12/15/2015,#bhoomikatrust
AkkiPritam,6.77E+17,12/15/2015,#akshaykumar
gischethans,6.77E+17,12/15/2015,#chennaifloods
mid_day,6.77E+17,12/15/2015,#bollywood
mid_day,6.77E+17,12/15/2015,#chennaifloods
Nanthivarman16,6.77E+17,12/15/2015,#admkfails
Nanthivarman16,6.77E+17,12/15/2015,#jayafails
Nanthivarman16,6.77E+17,12/15/2015,#stickergovt
Nanthivarman16,6.77E+17,12/15/2015,#chennaifloods
AdilaMatra,6.77E+17,12/15/2015,#chennaifloods
AdilaMatra,6.77E+17,12/15/2015,#climatechange
AdilaMatra,6.77E+17,12/15/2015,#delhichokes
AdilaMatra,6.77E+17,12/15/2015,#smog
HDFCERGOGIC,6.77E+17,12/15/2015,#chennaifloods
HDFCERGOGIC,6.77E+17,12/15/2015,#tnfloods
ImSoorej,6.77E+17,12/15/2015,#chennaifloods
ImSoorej,6.77E+17,12/15/2015,#chennaimicr
代碼:我想找到的地理位置可能是地理座標。
from __future__ import print_function
import tweepy
from tweepy import OAuthHandler
from tweepy import Stream
from tweepy.streaming import StreamListener
import pandas as pd
import csv
consumer_key = 'xyz'
consumer_secret = 'xyz'
access_token = 'xyz'
access_token_secret = 'xyz'
data = pd.read_csv('user_keyword.csv')
df = ['user_name', 'user_id', 'date', 'keyword']
def get_user_details(username):
userobj = api.get_user(username)
return userobj
if __name__ == '__main__':
#authenticating the app (https://apps.twitter.com/)
auth = tweepy.auth.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
username = df['user_name']
userOBJ = get_user_details(username)
print(userOBJ.location)
錯誤:無法解析用戶名到程序中。
Traceback (most recent call last):
File "user_profile_location.py", line 38, in <module>
username = df['user_name']
TypeError: list indices must be integers, not str
umm。 'df'不是字典,它是一個字符串列表 - 你需要使用整數索引來訪問'df'元素。 –
@ChitharanjanDas謝謝!我做了什麼改變? –
你的代碼在這裏'data = pd.read_csv('user_keyword.csv')'創建DataFrame。 'df = ['user_name','user_id','date','keyword']'創建一個Python列表並將列表賦給變量'df'。如果您的csv的標題與列表中的項目相匹配,那麼您需要使用'data ['user_name']'我最好的建議是閱讀熊貓[docs](http://pandas.pydata.org/pandas- docs/stable /) – toasteez