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%matplotlib inline
import matplotlib.pyplot as plt

import PIL.Image


    

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image = PIL.Image.open("test.png")
img = image.crop((100,20,150,70))
image


    

    
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img


    

    
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interpolations = ["nearest", "bilinear", "bicubic", "spline16",
                  "spline36", "hanning", "hamming", "hermite", "kaiser",
                  "quadric", "catrom", "gaussian", "bessel", "mitchell",
                  "sinc", "lanczos"]

fig, ax = plt.subplots(nrows=4, ncols=4, figsize=(16,16))
for a,name in zip(ax.flatten(), interpolations):
    a.imshow(img, interpolation=name)
    a.set(title=name)


    

In [5]:

    

fig, ax = plt.subplots(nrows=4, ncols=4, figsize=(11,12))
for a,name in zip(ax.flatten(), interpolations):
    a.imshow(image, interpolation=name)
    a.set(title=name)


    

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