plt.imshow

imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=None, vmin=None, vmax=None, origin=None, extent=None, shape=None, filternorm=1, filterrad=4.0, imlim=None, resample=None, url=None, *, data=None, **kwargs) method of matplotlib.axes._subplots.AxesSubplot instance
    Display an image, i.e. data on a 2D regular raster.
    
    Parameters
    ----------
    X : array-like or PIL image
        The image data. Supported array shapes are:
    
        - (M, N): an image with scalar data. The data is visualized
          using a colormap.
        - (M, N, 3): an image with RGB values (float or uint8).
        - (M, N, 4): an image with RGBA values (float or uint8), i.e.
          including transparency.
    
        The first two dimensions (M, N) define the rows and columns of
        the image.
    
        The RGB(A) values should be in the range [0 .. 1] for floats or
        [0 .. 255] for integers.  Out-of-range values will be clipped to
        these bounds.
    
    cmap : str or `~matplotlib.colors.Colormap`, optional
        A Colormap instance or registered colormap name. The colormap
        maps scalar data to colors. It is ignored for RGB(A) data.
        Defaults to :rc:`image.cmap`.
    
    aspect : {'equal', 'auto'} or float, optional
        Controls the aspect ratio of the axes. The aspect is of particular
        relevance for images since it may distort the image, i.e. pixel
        will not be square.
    
        This parameter is a shortcut for explicitly calling
        `.Axes.set_a