def create_rtvt_aio_plot(self, tweets, retweets):
tweet_coords = Tweets.tweets_per_minute(tweets)
retweet_coords = Retweets.retweets_per_minute(retweets)
tweet_coords.sort(key=lambda x: int(x[1]), reverse=True)
retweet_coords.sort(key=lambda x: int(x[1]), reverse=True)
return Graphs.rtwt_vs_twt_24h(retweet_coords, tweet_coords, __class__)
def user_data_box(self, tweets, retweets, statuses):
tweepy_data = User.get_user_data_tweepy(self)
account_created = tweepy_data[0]
total_followers = tweepy_data[1]
total_friends = tweepy_data[2]
total_statuses = tweepy_data[3]
geo_status = tweepy_data[4]
screen_name = tweepy_data[5]
# num of user's tweets in db
total_on_record = len(statuses)
# percentage of user's total tweets in db
coverage = round(((len(statuses) / total_statuses) * 100), 2)
coverage = str(coverage) + '%'
# Users top 10 most mentioned users
user_mentions = list(Mentions.users_mentioned(tweets)[1])
user_mentions = sorted(user_mentions,
key=lambda x: int(x[1]),
reverse=True)
user_mentions = user_mentions[:10]
# top 10 hashtags used
user_hashtags = Hashtags.get_user_hashtags(tweets)[0]
top_hash = list(Hashtags.count_hashtags(user_hashtags))
top_hash = sorted(top_hash, key=lambda x: int(x[1]), reverse=True)
top_hash = top_hash[:10]
# Users top 10 most retweeted users
users_retweeted = Retweets.get_retweeted_users(retweets)
users_retweeted = users_retweeted[0]
count_retweeted = list(
set([(x, users_retweeted.count(x)) for x in users_retweeted]))
fav_retweeted = sorted(count_retweeted,
key=lambda x: int(x[1]),
reverse=True)
fav_retweeted = fav_retweeted[:10]
first_on_record = statuses[0]
most_recent_on_record = statuses[-1]
# favourite tweet time
fav_time = Tweets.tweets_per_minute(statuses)
fav_time = sorted(fav_time, key=lambda x: int(x[1]), reverse=True)
fav_time = fav_time[0]
# day with most statuses sent
busy_day = Tweets.tweets_per_date(statuses)
busy_day = sorted(busy_day, key=lambda x: int(x[1]), reverse=True)
busy_day = busy_day[0]
# most used medium to tweet
sources = [i[4] for i in statuses]
fav_source = Sources.counted_sources(sources)
fav_source = sorted(fav_source, key=lambda x: int(x[1]), reverse=True)
fav_source = fav_source[0]
return (screen_name, account_created, total_statuses, total_on_record,
total_followers, total_friends, geo_status, first_on_record,
most_recent_on_record, coverage, top_hash, fav_retweeted,
user_mentions, fav_time, busy_day, fav_source)
def create_aio_plot(tweet_list):
graph_coords = Tweets.tweets_per_minute(tweet_list)
graph_coords.sort(key=lambda x: int(x[1]), reverse=True)
return Graphs.all_in_one(graph_coords, __class__)
