mathplotlib 8.py

#!/usr/bin/env python
#-*- coding: utf-8 -*-
#-------------------------------------------------------------------------------
# Name:        matplotlib changement de couleurs conditionnel
# Purpose:
# https://matplotlib.org/gallery/index.html
# Author:      Jean
# http://apprendre-python.com/page-creer-graphiques-scientifiques-python-apprendre
# Created:     23/01/2018
# Copyright:   (c) Jean 2018
# Licence:     <your licence>
#-------------------------------------------------------------------------------
from matplotlib import pyplot as plt
import matplotlib.colors as mcolors
import numpy as np
from numpy.random import multivariate_normal

data = np.vstack([
    multivariate_normal([10, 10], [[3, 2], [2, 3]], size=100000),
    multivariate_normal([30, 20], [[2, 3], [1, 3]], size=1000)
])

gammas = [0.8, 0.5, 0.3]

fig, axes = plt.subplots(nrows=2, ncols=2)

axes[0, 0].set_title('Linear normalization')
axes[0, 0].hist2d(data[:, 0], data[:, 1], bins=100)

for ax, gamma in zip(axes.flat[1:], gammas):
    ax.set_title('Power law $(\gamma=%1.1f)$' % gamma)
    ax.hist2d(data[:, 0], data[:, 1],
              bins=100, norm=mcolors.PowerNorm(gamma))

fig.tight_layout()

plt.show()

def main():
    pass

if __name__ == '__main__':
    main()