Python – Tweepy 中的 API.trends_place()

Twitter是一个流行的社交网络，用户在其中分享称为推文的消息。 Twitter 允许我们使用 Twitter API 或Tweepy挖掘任何用户的数据。数据将是从用户那里提取的推文。首先要做的是从 Twitter 开发人员那里轻松获得每个用户可用的消费者密钥、消费者秘密、访问密钥和访问秘密。这些密钥将帮助 API 进行身份验证。

API.get_place_trends()

Tweepy 模块中 API 类的 get_place_trends ()方法用于获取特定位置的前 50 个热门话题。

Syntax : API.get_place_trends(id, exclude)
Parameters :

id : Yahoo! Where On Earth ID of the location
exclude : On setting this parameter to “hashtags”, it excludes hashtags from the list.

Returns : an object of class JSON

编程需要懂一点英语

示例 1：

Python3

# import the module
import tweepy
 
# assign the values accordingly
consumer_key = ""
consumer_secret = ""
access_token = ""
access_token_secret = ""
 
# authorization of consumer key and consumer secret
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
 
# set access to user's access key and access secret
auth.set_access_token(access_token, access_token_secret)
 
# calling the api
api = tweepy.API(auth)
 
# WOEID of London
woeid = 44418
 
# fetching the trends
trends = api.get_place_trends(id = woeid)
 
# printing the information
print("The top trends for the location are :")
 
for value in trends:
    for trend in value['trends']:
        print(trend['name'])

Python3

# WOEID of New York
woeid = 2459115
 
# fetching the trends
trends = api.get_place_trends(id = woeid, exclude = "hashtags")
 
# printing the information
print("The top trends for the location are :")
 
for value in trends:
    for trend in value['trends']:
        print(trend['name'])

输出：

The top trends for the location are :
Little Britain
#theAword
Peter Shilton
#AHouseThroughTime
Michael O'Neill
#Gclash10
Gladstone
Shilts
White Chicks
Robert Milligan
#GeorgeFloydFuneral
#RhodesMustFall
Prince Philip
Wretch 32
Tower Hamlets
Seyi
Auschwitz
Fact 4
Persona 4 Golden
Matt Lucas
Eddie Murphy
Love Thy Neighbour
Paul Walker
Lord Sainsbury
Fawlty Towers
Peter Hitchens
Chester Zoo
Bogus Journey
Afua
The Hour Of Bewilderbeast
Gareth Southgate
hand of god
#whowantstobeamillionaire
#StupidZoomQuestions
#dailybriefings
#VogueChallenge
#HolbyCity
#SBSwinnershour
#craftbeerhour
#GHB2B
#DontFilterFeelings
#OURfPBookBlether
#GBBO
#landofthemidnightsun
#UnlockingTheNHS
#ShutDownSTEM
#UFC251
#SaveOurZoos
#TWUG
#DisneySongOrBand

示例 2：使用参数排除。

Python3

# WOEID of New York
woeid = 2459115
 
# fetching the trends
trends = api.get_place_trends(id = woeid, exclude = "hashtags")
 
# printing the information
print("The top trends for the location are :")
 
for value in trends:
    for trend in value['trends']:
        print(trend['name'])

输出：

The top trends for the location are :
Molly
Lakers
Kobe
McDonald
Lawrence
B Simone
Stephen Miller
Henry Winkler
Persona 4 Golden
Mike O'Meara
Kemp
RATM
Stassi
Dick Johnson
Pat Lynch
Chad Daybell
Fulton County
Stan Lee
Neyo
Capitol Hill Autonomous Zone
jax and brittany
Chester Bennington
General Brown
The Batman
James Demarco
Respect is EARNED
Voting Rights Act
Better MC
My 9-5
Ryan Garcia
Denuvo
Congratulations Yamiche