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from holoviews import *
from holoviews.operation import contours, threshold, gradient
import numpy as np
%load_ext holoviews.ipython
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def sine(x, phase=0, freq=100):
return np.sin((freq * x + phase))
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phases = np.linspace(0,2*np.pi,11) # Explored phases
freqs = np.linspace(50,150,5) # Explored frequencies
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dist = np.linspace(-0.5,0.5,202) # Linear spatial sampling
x,y = np.meshgrid(dist, dist)
grid = (x**2+y**2) # 2D spatial sampling
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freq1 = Image(sine(grid, freq=50)) + Curve(zip(dist, sine(dist**2, freq=50)))
freq2 = Image(sine(grid, freq=200)) + Curve(zip(dist, sine(dist**2, freq=200)))
(freq1 + freq2).cols(2)
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