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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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matplotlib/subplots/README.md
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@ -26,3 +26,15 @@ matplotlib.pyplot.subplots(nrows=1, ncols=1, *, sharex=False, sharey=False, sque
> Number of rows/columns of the subplot grid.
## [matplotlib.axes.Axes.imshow](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.imshow.html)
```python
Axes.imshow(X, cmap=None, norm=None, *, aspect=None, interpolation=None, alpha=None, vmin=None, vmax=None, origin=None, extent=None, interpolation_stage=None, filternorm=True, filterrad=4.0, resample=None, url=None, data=None, **kwargs)[source]
```
> 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. For displaying a grayscale image, set up the colormapping 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 figure dpi. 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 Image antialiasing). The resampling can be controlled via the interpolation parameter and/or rcParams["image.interpolation"] (default: 'antialiased').