A chart for a Discord server's cumulative messages per user.

discord_chart.py

import csv
import matplotlib.pyplot as plt
from matplotlib import colors
from matplotlib.ticker import PercentFormatter
import matplotlib.dates as mdates
import datetime
from collections import Counter, defaultdict
import glob, os

hist = defaultdict(Counter)
for file in glob.glob('SWW*'):
    with open(file) as fin:
        csv_reader = csv.reader(fin, delimiter=',')
        for i, row in enumerate(csv_reader):
            if i > 0:
                d = datetime.datetime.strptime(row[2], '%d-%b-%y %I:%M %p')
                d = d.replace(minute=0)
                if True:
                    hist[row[1]][d] += 1

summ = Counter()
for user in hist:
    start_date = datetime.datetime(2019, 9, 1, 0, 0)
    end_date = datetime.datetime.today()
    while start_date <= end_date:
        hist[user][start_date] += hist[user][start_date - datetime.timedelta(hours=1)]
        summ[start_date] += hist[user][start_date]
        start_date += datetime.timedelta(hours=1)

for user in hist:
    for date in hist[user]:
        if summ[date] != 0:
            # hist[user][date] /= summ[date]
            pass
    data = sorted(hist[user].items())
    x, y = zip(*data)
    plt.plot(x, y)
    plt.text(end_date + datetime.timedelta(days=2), hist[user][start_date - datetime.timedelta(hours=1)], user)

plt.show()