.. _images_contours_and_fields-interpolation_methods:

images_contours_and_fields example code: interpolation_methods.py
=================================================================



.. plot:: /home/tcaswell/source/p/matplotlib/doc/mpl_examples/images_contours_and_fields/interpolation_methods.py

::

    '''
    Show all different interpolation methods for imshow
    '''
    
    import matplotlib.pyplot as plt
    import numpy as np
    
    # from the docs:
    
    # If interpolation is None, default to rc image.interpolation. See also
    # the filternorm and filterrad parameters. If interpolation is 'none', then
    # no interpolation is performed on the Agg, ps and pdf backends. Other
    # backends will fall back to 'nearest'.
    #
    # http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.imshow
    
    methods = [None, 'none', 'nearest', 'bilinear', 'bicubic', 'spline16',
               'spline36', 'hanning', 'hamming', 'hermite', 'kaiser', 'quadric',
               'catrom', 'gaussian', 'bessel', 'mitchell', 'sinc', 'lanczos']
    
    np.random.seed(0)
    grid = np.random.rand(4, 4)
    
    fig, axes = plt.subplots(3, 6, figsize=(12, 6),
                             subplot_kw={'xticks': [], 'yticks': []})
    
    fig.subplots_adjust(hspace=0.3, wspace=0.05)
    
    for ax, interp_method in zip(axes.flat, methods):
        ax.imshow(grid, interpolation=interp_method, cmap='viridis')
        ax.set_title(interp_method)
    
    plt.show()
    

Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)