Gradient

Demonstration of the gradient method.

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[<Figure size 650x425 with 1 Axes>]

import numpy as np
import WrightTools as wt

data = wt.data.Data()
data.create_variable("w1", np.linspace(-10, 10, 100))
data.create_channel("sig", 1 / (np.pi * (1 + (data.w1[:] - 1) ** 2)))
data.transform("w1")
data.gradient("w1")

wt.artists.quick1D(data)
wt.artists.quick1D(data, channel="sig_w1_gradient")