from prettytable import PrettyTable
import get_tweets_by_search
import get_most_retweeted
def make_table(tweets):
table = PrettyTable(field_names=['Text', 'Retweet Count'])
for key, val in tweets:
table.add_row([key, val])
table.max_width['Text'] = 50
table.align['Text'], table.align['Retweet Count'] = 'l', 'r'
return table
def make_table_from_dictionary(tweets):
table = PrettyTable(field_names=['Text', 'Retweet Count'])
for key in tweets:
table.add_row([key, tweets[key]])
table.max_width['Text'] = 50
table.align['Text'], table.align['Retweet Count'] = 'l', 'r'
return table
tweets = get_tweets_by_search.search('Trump', 100)
popular = get_most_retweeted.most_retweeted(tweets, 10)
print make_table(popular)
from prettytable import PrettyTable
import get_tweets_by_search
import get_most_retweeted
def make_table(tweets):
table = PrettyTable(field_names=['Text', 'Retweet Count'])
for key, val in tweets:
table.add_row([key, val])
table.max_width['Text'] = 50
table.align['Text'], table.align['Retweet Count'] = 'l', 'r'
return table
def make_table_from_dictionary(tweets):
table = PrettyTable(field_names=['Text', 'Retweet Count'])
for key in tweets:
table.add_row([key, tweets[key]])
table.max_width['Text'] = 50
table.align['Text'], table.align['Retweet Count'] = 'l', 'r'
return table
tweets = get_tweets_by_search.search('Trump', 100)
popular = get_most_retweeted.most_retweeted(tweets, 10)
print make_table(popular)
from prettytable import PrettyTable
import get_tweets_by_search
import get_most_retweeted
def make_table(tweets):
table = PrettyTable(field_names=['Text', 'Retweet Count'])
for key, val in tweets:
table.add_row([key, val])
table.max_width['Text'] = 50
table.align['Text'], table.align['Retweet Count'] = 'l', 'r'
return table
tweets = get_tweets_by_search.search('Euro', 10)
popular = get_most_retweeted.most_retweeted(tweets, 1000)
print make_table(popular)
counter = Counter(data)
[table.add_row(entry) for entry in counter.most_common()[:10]]
table.align[label], table.align['Count'] = 'l', 'r'
print table
def get_lexical_diversity(items):
return 1.0 * len(set(items)) / len(items)
def get_average_words(tweets):
total_words = sum([len(tweet.split()) for tweet in tweets])
return 1.0 * total_words / len(tweets)
tweets = search('Dublin', 100)
texts = get_tweet_texts(tweets)
words = get_words(texts)
screen_names = get_screen_names(tweets)
hashtags = get_hashtags(tweets)
# print "Averate words: %s" % get_average_words(texts)
# print "Word Diversity: %s" % get_lexical_diversity(words)
# print "Screen Name Diversity: %s" % get_lexical_diversity(screen_names)
# print "HashTag Diversity: %s" % get_lexical_diversity(hashtags)
table_stuff(texts, screen_names, hashtags)
from operator import itemgetter
from get_tweets_by_search import search
from get_in_table import make_table
def most_retweeted(tweets, min_retweets):
pop_tweets = [
status for status in tweets
if status._json['retweet_count'] > min_retweets
]
# pop_tweets_dict = { tweet._json['text'].encode('utf-8'): tweet._json['retweet_count'] for tweet in pop_tweets}
#
# return sorted(pop_tweets_dict, key=itemgetter(1), reverse=True)[:5]
tweets_tup = tuple([(tweet._json['text'].encode('utf-8'),
tweet._json['retweet_count'])
for tweet in pop_tweets])
pop_tweets_set = set(tweets_tup)
return sorted(pop_tweets_set, key=itemgetter(1), reverse=True)[:5]
tweets = search('Dublin', 150)
pop = most_retweeted(tweets, 10)
print make_table(pop)
from prettytable import PrettyTable
import get_tweets_by_search
import get_most_retweeted
def make_table(tweets):
table = PrettyTable(field_names=['Text', 'Retweet Count'])
for key, val in tweets:
table.add_row([key, val])
table.max_width['Text'] = 50
table.align['Text'], table.align['Retweet Count'] = 'l', 'r'
return table
tweets = get_tweets_by_search.search('Euro', 10)
popular = get_most_retweeted.most_retweeted(tweets, 1000)
print make_table(popular)
from operator import itemgetter
from get_tweets_by_search import search
from get_in_table import make_table
def most_retweeted(tweets, min_retweets):
pop_tweets = [status
for status in tweets
if status._json['retweet_count'] > min_retweets]
# pop_tweets_dict = { tweet._json['text'].encode('utf-8'): tweet._json['retweet_count'] for tweet in pop_tweets}
#
# return sorted(pop_tweets_dict, key=itemgetter(1), reverse=True)[:5]
tweets_tup = tuple([(tweet._json['text'].encode('utf-8'), tweet._json['retweet_count'])
for tweet in pop_tweets])
pop_tweets_set = set(tweets_tup)
return sorted(pop_tweets_set, key=itemgetter(1), reverse=True)[:5]
tweets = search('Dublin', 150)
pop = most_retweeted(tweets, 10)
print make_table(pop)