【发布时间】：2019-02-24 18:32:18
【问题描述】：
我正在尝试删除字典中的重复项，但仅基于文本值中的重复项
例如，我想删除此推文列表中的重复项：
{'text': 'Dear Conservatives: comprehend, if you can RT Iran deal opponents have their "death panels" lie, and it\'s a whopper http://example.com/EcSHCAm9Nn', 'id': 634092907243393024L}
{'text': 'RT Iran deal opponents now have their "death panels" lie, and it\'s a whopper http://example.com/ntECOXorvK via @voxdotcom #IranDeal', 'id': 634068454207791104L}
{'text': 'RT : Iran deal quietly picks up some GOP backers via https://example.com/65DRjWT6t8 catoletters: Iran deal quietly picks up some GOP backers \xe2\x80\xa6', 'id': 633631425279991812L}
{'text': 'RT : Iran deal quietly picks up some GOP backers via https://example.com/QD43vbJft6 catoletters: Iran deal quietly picks up some GOP backers \xe2\x80\xa6', 'id': 633495091584323584L}
{'text': "RT : Iran Deal's Surprising Supporters: https://example.com/pUG7vht0fE catoletters: Iran Deal's Surprising Supporters: http://example.com/dhdylTNgoG", 'id': 633083989180448768L}
{'text': "RT : Iran Deal's Surprising Supporters - Today on the Liberty Report: https://example.com/PVHuVTyuAG RonPaul: Iran Deal'\xe2\x80\xa6 https://example.com/sTBhL12llF", 'id': 632525323733729280L}
{'text': "RT : Iran Deal's Surprising Supporters - Today on the Liberty Report: https://example.com/PVHuVTyuAG RonPaul: Iran Deal'\xe2\x80\xa6 https://example.com/sTBhL12llF", 'id': 632385798277595137L}
{'text': "RT : Iran Deal's Surprising Supporters: https://example.com/hOUCmreHKA catoletters: Iran Deal's Surprising Supporters: http://example.com/bJSLhd9dqA", 'id': 632370745088323584L}
{'text': '#News #RT Iran deal debate devolves into clash over Jewish stereotypes and survival - W... http://example.com/foU0Sz6Jej http://example.com/WvcaNkMcu3', 'id': 631952088981868544L}
{'text': '"@JeffersonObama: RT Iran deal support from Democratic senators is 19-1 so far....but...but Schumer...."', 'id': 631951056189149184L}}
得到这个：
{'text': 'Dear Conservatives: comprehend, if you can RT Iran deal opponents have their "death panels" lie, and it\'s a whopper http://example.com/EcSHCAm9Nn', 'id': 634092907243393024L}
{'text': '"@JeffersonObama: RT Iran deal support from Democratic senators is 19-1 so far....but...but Schumer...."', 'id': 631951056189149184L}}
到目前为止，我主要根据重复键/值相同的“普通”字典找到答案。在我的情况下，它是一个合并的字典。由于转发，文本键相同，但相应的推文 ID 不同
这是完整的代码，任何关于以更有效的方式在 csv 文件中编写推文的技巧（使删除重复项更容易）都非常受欢迎。
import csv
import codecs
tweet_text_id = []
from TwitterSearch import TwitterSearchOrder, TwitterUserOrder, TwitterSearchException, TwitterSearch
try:
tso = TwitterSearchOrder()
tso.set_keywords(["Iran Deal"])
tso.set_language('en')
tso.set_include_entities(False)
ts = TwitterSearch(
consumer_key = "aaaaa",
consumer_secret = "bbbbb",
access_token = "cccc",
access_token_secret = "dddd"
)
for tweet in ts.search_tweets_iterable(tso):
tweet_text_id.append({'id':tweet['id'], 'text': tweet['text'].encode('utf8')});
fieldnames = ['id', 'text']
tweet_file = open('tweets.csv', 'wb')
csvwriter = csv.DictWriter(tweet_file, delimiter=',', fieldnames=fieldnames)
csvwriter.writerow(dict((fn,fn) for fn in fieldnames))
for row in tweet_text_id:
csvwriter.writerow(row)
tweet_file.close()
except TwitterSearchException as e:
print(e)
【问题讨论】：
-
您拥有的是一个字典列表，而不是“合并字典”。无论如何，您的示例尚不清楚。您只想保留第一个和最后一个条目，但其他条目并不完全相同。
标签： python twitter duplicates