.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/images_contours_and_fields/interpolation_methods.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_images_contours_and_fields_interpolation_methods.py: ========================= Interpolations for imshow ========================= This example displays the difference between interpolation methods for `~.axes.Axes.imshow`. If *interpolation* is None, it defaults to the :rc:`image.interpolation`. 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 :doc:`/gallery/images_contours_and_fields/image_antialiasing` for a discussion on the default ``interpolation="antialiased"`` option. .. GENERATED FROM PYTHON SOURCE LINES 20-43 .. code-block:: default 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 np.random.seed(19680801) 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') ax.set_title(str(interp_method)) plt.tight_layout() plt.show() .. image:: /gallery/images_contours_and_fields/images/sphx_glr_interpolation_methods_001.png :alt: None, none, nearest, bilinear, bicubic, spline16, spline36, hanning, hamming, hermite, kaiser, quadric, catrom, gaussian, bessel, mitchell, sinc, lanczos :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 44-50 .. admonition:: References The use of the following functions, methods, classes and modules is shown in this example: - `matplotlib.axes.Axes.imshow` / `matplotlib.pyplot.imshow` .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 1.332 seconds) .. _sphx_glr_download_gallery_images_contours_and_fields_interpolation_methods.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: interpolation_methods.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: interpolation_methods.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_