Number of tweets per month

tweets_stats

#!/usr/bin/env python
import tweepy
import matplotlib.pyplot as plt
from collections import OrderedDict


# app credentials
CONSUMER_KEY = ''
CONSUMER_SECRET = ''
ACCESS_TOKEN = ''
ACCESS_TOKEN_SECRET = ''

# authenticate app
auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)
auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)

# api
api = tweepy.API(auth, wait_on_rate_limit=True)

# count tweets per month (last 3 years)
counts_month = {}
for year in reversed(range(2016, 2019)):
    for month in reversed(range(1, 13)):
        counts_month[str(year) + str(month).zfill(2)] = 0

for tweet in tweepy.Cursor(api.user_timeline).items():
    year = tweet.created_at.year
    month = tweet.created_at.month
    counts_month[str(year) + str(month).zfill(2)] += 1

# plot bar diagram
counts_month = OrderedDict(sorted(counts_month.items()))
months = counts_month.keys()
months_labels = [k[4:6] + '/' + k[:4] for k in months]
counts = counts_month.values()

plt.bar(months, counts)
plt.xticks(range(len(months)), months_labels, rotation=60)
plt.title('Number of tweets per month')
plt.ylabel('Number of tweets')
plt.show()