Python Twitter.clear方法代码示例

# 需要导入模块: from pattern.web import Twitter [as 别名]
# 或者: from pattern.web.Twitter import clear [as 别名]
def TwitterStream():
    # Another way to mine Twitter is to set up a stream.
    # A Twitter stream maintains an open connection to Twitter, 
    # and waits for data to pour in.
    # Twitter.search() allows us to look at older tweets,
    # Twitter.stream() gives us the most recent tweets.
    for trend in Twitter().trends(cached=False):
        print trend

    # It might take a few seconds to set up the stream.
    stream = Twitter().stream("i love", timeout=30)

    pos_count=0
    neg_count=0

    #while True:
    for i in range(50):
        if(neg_count):
            ratio = pos_count / neg_count
        else:
            ratio = 0

        print str(pos_count) + " " + str(neg_count) + " " + str(ratio)+"%"
        
        #print i
        #print "+ " + str(pos_count)
        #print "- " + str(neg_count)
        #print "- - -"

        # Poll Twitter to see if there are new tweets.
        stream.update()
        
        # The stream is a list of buffered tweets so far,
        # with the latest tweet at the end of the list.
        for tweet in reversed(stream):
            print tweet.text
            print tweet.language

            sent = pol(tweet.text)

            if(sent>0):
                pos_count+=1
            else:
                neg_count+=1
            
        # Clear the buffer every so often.
        stream.clear()
        
        # Wait awhile between polls.
        time.sleep(1)


    print "Final Twitter"
    print pos_count
    print neg_count

# 需要导入模块: from pattern.web import Twitter [as 别名]
# 或者: from pattern.web.Twitter import clear [as 别名]
def create_stream(phrase, queue):
    """
    Celery task that connects to the twitter stream and runs a loop, periodically
    emitting tweet information to all connected clients.
    """
    local = SocketIO(message_queue=queue)
    stream = Twitter().stream(phrase, timeout=30)

    for i in range(60):
        stream.update()
        for tweet in reversed(stream):
            sentiment = classify_tweet(tweet)
            x, y = vectorize_tweet(tweet)
            local.emit('tweet', {'id': str(i),
                                 'text': str(tweet.text.encode('ascii', 'ignore')),
                                 'sentiment': sentiment,
                                 'x': x,
                                 'y': y})
        stream.clear()
        time.sleep(1)

    return queue

# 需要导入模块: from pattern.web import Twitter [as 别名]
# 或者: from pattern.web.Twitter import clear [as 别名]
import sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))

import time

from pattern.web import Twitter

# Another way to mine Twitter is to set up a stream.
# A Twitter stream maintains an open connection to Twitter,
# and waits for data to pour in.
# Twitter.search() allows us to look at older tweets,
# Twitter.stream() gives us the most recent tweets.

# It might take a few seconds to set up the stream.
stream = Twitter().stream("I hate", timeout=30)

#while True:
for i in range(10):
    print(i)
    # Poll Twitter to see if there are new tweets.
    stream.update()
    # The stream is a list of buffered tweets so far,
    # with the latest tweet at the end of the list.
    for tweet in reversed(stream):
        print(tweet.text)
        print(tweet.language)
    # Clear the buffer every so often.
    stream.clear()
    # Wait awhile between polls.
    time.sleep(1)

# 需要导入模块: from pattern.web import Twitter [as 别名]
# 或者: from pattern.web.Twitter import clear [as 别名]
from pattern.web import Twitter
import time

s = Twitter().stream('#snowday')
for i in range(25):
    time.sleep(1)
    s.update(bytes=1024)
    print s[-1].text if s else ''
    s.clear()