Bug report

Bug summary

Regardless of an AxesImage clip_box property value, they are always additionally clipped to their parent Axes' bbox, unlike other artists (e.g. Line2D) who can have a clip_box completely independent of their parent axes.

Code for reproduction

from matplotlib import pyplot as pltfig, axs = plt.subplots(2, 2)l, = axs[0, 1].plot([0, 1])l.set_clip_box(axs[0, 0].bbox)im = axs[1, 1].imshow([[0, 1], [2, 3]], aspect="auto", extent=(0, 1, 0, 1))im.set_clip_path(None)im.set_clip_box(axs[1, 0].bbox)plt.show()

Actual outcome

The line inaxs[0, 1] can be seen inaxs[0, 0] by panningaxs[0, 1] to the side.
The image inaxs[1, 1] cannot be seen inaxs[1, 0] (or anywhere else, for that matter) by panning.

Expected outcome

im is correctly clipped toaxs[1, 0].

This is likely due to the implementation of AxesImage.make_image

    def make_image(self, renderer, magnification=1.0, unsampled=False):        # docstring inherited        trans = self.get_transform()        # image is created in the canvas coordinate.        x1, x2, y1, y2 = self.get_extent()        bbox = Bbox(np.array([[x1, y1], [x2, y2]]))        transformed_bbox = TransformedBbox(bbox, trans)        return self._make_image(            self._A, bbox, transformed_bbox, self.axes.bbox, magnification,            unsampled=unsampled)

(passingself.axes.bbox as clipping bbox to self._make_image is the problem).

Matplotlib version

• Operating system: linux
• Matplotlib version: master
• Matplotlib backend (print(matplotlib.get_backend())): qt5agg
• Python version: 37
• Jupyter version (if applicable): none
• Other libraries: