import matplotlib.pyplot as plt
import numpy as np

X = np.random.uniform(size=100)

Y = np.log(X/(1-X))

Y = np.sign(Y)*np.abs(Y)**1.4

cc = np.cov(X,Y)
cc = cc[0,1]/np.sqrt(cc[0,0]*cc[1,1])

plt.clf()
plt.figure(figsize=(4,3.8))
plt.axes([0.17,0.12,0.8,0.75])
plt.plot(X, Y, 'o', color='orange')
plt.grid(True)
plt.title("Spearman correlation=1\nPearson correlation=%.2f" % cc)
plt.xlabel("X", size=16)
plt.ylabel("Y", size=16)
plt.xlim(-0.05,1.05)
plt.savefig("spearman_fig1.pdf")
plt.savefig("spearman_fig1.svg")