def reciprocity_per_time_step(time_step=60*60):
	"""Plots the reciprocity of all tweets in the UMG for a given time slice."""
	ranges = t.get_range()
	first_tweet = ranges[0]
	last_tweet  = ranges[(len(ranges)-1)]
	start_index = first_tweet
	to_graph = []
	x_vals = []
	while start_index < last_tweet:
		last_index   =  start_index + datetime.timedelta(seconds=time_step)
		x_vals.append(f.roundTime(start_index,60*60))
		print str(start_index)
		tweets = bf.get_tweets_between(start_index, last_index)
		print "Tweets found:", len(tweets), "Making Graph"
		graph = um.user_mentions_graph(tweets)
		reciprocity = f.get_graph_reciprocity(graph)
		to_graph.append(reciprocity)

		start_index += datetime.timedelta(seconds=time_step)

	plt.plot(x_vals,to_graph)
	locs, labels = plt.xticks()
	plt.setp(labels, rotation=90)
	plt.title('Reciprocity by Hour')
	plt.xlabel('Date')
	plt.ylabel('Reciprocity')
	plt.show()

	return to_graph
def get_data_list(time_step=60, just_count=True, limit=False):
    """Returns dictionary:
		Keys: Time Steps
		Values: #Tweets in TimeStep"""
    tweets = bf.query_mongo_get_list(bf.all_tweets)
    flood_days = {}
    for tweet in tweets:
        tweet["created_at"] -= datetime.timedelta(hours=6)  # Adjusting for TimeZone
        this_hour = f.roundTime(tweet["created_at"], roundTo=time_step)
        if flood_days.has_key(this_hour):
            flood_days[this_hour].append(tweet)
        else:
            flood_days[this_hour] = [tweet]
    if just_count:
        for i in flood_days.keys():
            flood_days[i] = len(flood_days[i])
        return flood_days
    else:
        return flood_days