Interpolations for imshow

This example displays the difference between interpolation methods for imshow.

If interpolation is None, it defaults to the rcParams["image.interpolation"] (default: 'antialiased'). If the interpolation is 'none', then no interpolation is performed for the Agg, ps and pdf backends. Other backends will default to 'antialiased'.

For the Agg, ps and pdf backends, interpolation = 'none' works well when a big image is scaled down, while interpolation = 'nearest' works well when a small image is scaled up.

See Image antialiasing for a discussion on the default interpolation="antialiased" option.

import matplotlib.pyplot as plt
import numpy as np

methods = [None, 'none', 'nearest', 'bilinear', 'bicubic', 'spline16',
           'spline36', 'hanning', 'hamming', 'hermite', 'kaiser', 'quadric',
           'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos']

# Fixing random state for reproducibility

grid = np.random.rand(4, 4)

fig, axs = plt.subplots(nrows=3, ncols=6, figsize=(9, 6),
                        subplot_kw={'xticks': [], 'yticks': []})

for ax, interp_method in zip(axs.flat, methods):
    ax.imshow(grid, interpolation=interp_method, cmap='viridis')

None, none, nearest, bilinear, bicubic, spline16, spline36, hanning, hamming, hermite, kaiser, quadric, catrom, gaussian, bessel, mitchell, sinc, lanczos


The use of the following functions and methods is shown in this example:


<function imshow at 0x7fba54a7a310>

Total running time of the script: ( 0 minutes 1.339 seconds)

Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery