rating_plot.py

import json

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.lines as mlines
import seaborn as sns
sns.set(style="dark")

# Data
with open('ratingdata.json') as f:
    data = json.load(f)

ratings = np.array(sorted(user['rating'] for user in data['result']))
n = len(ratings)
perc = 100*np.arange(n)/n

# Rating info
cutoffs = [ratings[0],1200, 1400,1600,1900,2100,2300,2400,2600,3000,ratings[-1]]
colors = [
    '#cccccc', '#77ff77', '#77ddbb', '#aaaaff', '#ff88ff',
    '#ffcc88', '#ffbb55', '#ff7777', '#ff3333', '#aa0000',
]
intervals = [(cutoffs[i], cutoffs[i+1]) for i in range(len(cutoffs)-1)]

# Plot
fig,ax = plt.subplots(1)
ax.plot(ratings, perc, color='#00000099')

# Rects
def fill_interval(interval, color):
    alpha = '99'
    l,r = interval
    col = color + alpha
    rect = patches.Rectangle((l,-50), r-l, 200, edgecolor='none', facecolor=col)
    ax.add_patch(rect)

for interval,color in zip(intervals,colors):
    fill_interval(interval, color)

# Lines
for y in range(0,101,20):
    l = mlines.Line2D([cutoffs[0],cutoffs[-1]], [y,y], color='#00000022')
    ax.add_line(l)

# General
plt.xlim(ratings[0], ratings[-1])
plt.ylim(-1.5, 101.5)
plt.title('Percentile vs rating')
plt.xlabel('Rating')
plt.ylabel('Percentile')
plt.xticks([])
#plt.xticks(cutoffs[1:-1], rotation=45)
plt.show()