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Home/ Questions/Q 8487363
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Editorial Team
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Editorial Team
Asked: June 10, 20262026-06-10T21:12:57+00:00 2026-06-10T21:12:57+00:00

I have numpy array with this shape: (33,10). When I plot contour I get

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I have numpy array with this shape: (33,10). When I plot contour I get ugly image like this:
enter image description here

while contour() doesn’t seem to have any argument about smoothing or some sort of interpolation feature.

I somehow expected that tool which offers contour plot should offer smoothing too.
Is there straight forward way to do it in MPL?

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  1. Editorial Team
    Editorial Team
    2026-06-10T21:12:59+00:00Added an answer on June 10, 2026 at 9:12 pm

    As others have already pointed out, you need to interpolate your data.

    There are a number of different ways to do this, but for starters, consider scipy.ndimage.zoom.

    As a quick exmaple:

    import numpy as np
    import scipy.ndimage
    import matplotlib.pyplot as plt
    
    data = np.loadtxt('data.txt')
    
    # Resample your data grid by a factor of 3 using cubic spline interpolation.
    data = scipy.ndimage.zoom(data, 3)
    
    plt.contour(data)
    plt.show()
    

    enter image description here

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