matplotlib.pyplot.figimage

matplotlib.pyplot.figimage(*args, **kwargs)

Adds a non-resampled image to the figure.

call signatures:

figimage(X, **kwargs)

adds a non-resampled array X to the figure.

figimage(X, xo, yo)

with pixel offsets xo, yo,

X must be a float array:

• If X is MxN, assume luminance (grayscale)
• If X is MxNx3, assume RGB
• If X is MxNx4, assume RGBA

Optional keyword arguments:

Keyword	Description
resize	a boolean, True or False. If “True”, then re-size the Figure to match the given image size.
xo or yo	An integer, the x and y image offset in pixels
cmap	a matplotlib.colors.Colormap instance, e.g., cm.jet. If None, default to the rc image.cmap value
norm	a matplotlib.colors.Normalize instance. The default is normalization(). This scales luminance -> 0-1
vmin|vmax	are used to scale a luminance image to 0-1. If either is None, the min and max of the luminance values will be used. Note if you pass a norm instance, the settings for vmin and vmax will be ignored.
alpha	the alpha blending value, default is None
origin	[ ‘upper’ | ‘lower’ ] Indicates where the [0,0] index of the array is in the upper left or lower left corner of the axes. Defaults to the rc image.origin value

figimage complements the axes image (imshow()) which will be resampled to fit the current axes. If you want a resampled image to fill the entire figure, you can define an Axes with extent [0,0,1,1].

An matplotlib.image.FigureImage instance is returned.

Additional kwargs are Artist kwargs passed on to FigureImage