Simple Ridgeline Plot of Monthly Elo 32 Distributions for Pro Dota 2 teams.

ridgeline_joyplot.py

#!/usr/bin/python3
import requests
import joypy
import pandas as pd
import numpy as np
from matplotlib import pyplot as plt
from datetime import date, timedelta
from dateutil.relativedelta import relativedelta


def get_ratings(dt):
	print("Getting date {}".format(dt))
	r = requests.get(url='http://datdota.com/api/ratings?date={}'.format(dt.strftime('%d-%m-%Y')))
	out = []
	for t in r.json()['data']:
		l = [
			t['teamName'], 
			int(dt.strftime('%d')),
			int(dt.strftime('%m')),
			int(dt.strftime('%Y')),
			dt.strftime('%d-%m-%Y'),
			t['glicko2']['rating'], 
			t['elo32']['current']
		]
		out.append(l)
	return out


data = []
_date = date.today()
while _date > date(2013, 1, 1):
	data.extend(get_ratings(_date))
	_date -= relativedelta(months=1)

df = pd.DataFrame(data[::-1], columns=['Team', 'Day Of Month', 'Month', 'Year', 'Date', 'Glicko 2', 'Elo 32'])

grouped = df.groupby("Date", sort=False)
months = [str(y[0]) for y in list(grouped.Date.unique())]
labels= [y.split('-')[2] if '-01-' in y else None for y in months]

fig, axes = joypy.joyplot(grouped, column="Elo 32", #range_style='own', 
                          grid="y", linewidth=1, labels=labels, legend=False, figsize=(6,5),
                          title="Monthly Elo (k=32) Distributions for Professional Dota 2 teams")

plt.show()