Plotting only specific points using matplotlib's imshow
import numpy as np
import matplotlib.pyplot as plt
N = 101
x = np.linspace(1,1,N); ones = np.ones_like(x)
coords = np.outer(ones,x) #x coords
coords = np.concatenate([[coords], [coords.T]])
ourShape = np.zeros([N,N])
ourShape[np.square(coords[0,:,:]) + np.square(coords[1,:,:]) <= 1.] = 1.
fig, ax = plt.subplots();
ax.imshow(ourShape)
plt.show()
This plots a circle inscribed in a square. But how do I get python to plot only the blue region, which is part of the square and not the circle? To be clear, I do not want to just turn the circle white; I want it to not plot at all. I tried
ax.imshow(ourShape[ourShape < 1.])
and that produces a TypeError.
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Data extract
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(Full code and data available here)
Thanks you.

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I want to superimpose a peakmodel i get from a calculation to existing experimental data to compare it to the fit i did.
No i found a way to do this, by simply plot over the data calling the axes object in question again and plot over it. This happens if you set add_plot=True in the code below:
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The result is this:
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It should be ploted ontop of the top graph tho.
Thank you in advance

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I am using the
officer
andrvg
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I have the previous plot that specified another xlab and lab.
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How to change xlab and ylab in diagnostics function in R BAS package?