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Add section on artifacts to imshow docs #16999

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Apr 5, 2020
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Add section on artifacts to imshow docs #16999

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14 changes: 11 additions & 3 deletions lib/matplotlib/axes/_axes.py
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Expand Up @@ -5300,10 +5300,18 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
Display data as an image; i.e. on a 2D regular raster.

The input may either be actual RGB(A) data, or 2D scalar data, which
will be rendered as a pseudocolor image. Note: For actually displaying
a grayscale image set up the color mapping using the parameters
will be rendered as a pseudocolor image. For displaying a grayscale
image set up the color mapping using the parameters
``cmap='gray', vmin=0, vmax=255``.

The number of pixels used to render an image is set by the axes size
and the *dpi* of the figure. This can lead to aliasing artifacts when
the image is resampled because the displayed image size will usually
not match the size of *X* (see
:doc:`/gallery/images_contours_and_fields/image_antialiasing`).
The resampling can be controlled via the *interpolation* parameter
and/or :rc:`image.interpolation`.

Parameters
----------
X : array-like or PIL image
Expand Down Expand Up @@ -5433,7 +5441,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
The filter radius for filters that have a radius parameter, i.e.
when interpolation is one of: 'sinc', 'lanczos' or 'blackman'.

resample : bool, optional
resample : bool, default: :rc:`image.resample`
When *True*, use a full resampling method. When *False*, only
resample when the output image is larger than the input image.

Expand Down