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#!/usr/bin/python
import matplotlib.pyplot as plt
import numpy as np
x = np.logspace(-3, 0, 100)
plt.loglog(x, pow(x, 2.2))
plt.loglog(x, pow(x, 2.4))
linearised = []
for xx in x:
if xx > 0.04045:
linearised.append(pow((xx + 0.055) / 1.055, 2.4))
else:
linearised.append(xx / 12.92)
plt.loglog(x, linearised)
plt.show()
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