Nov 28, 2024 · Nov 28, 2024 · Nov 28, 2024 · Nov 29, 2024 · Dec 6, 2024 · Dec 14, 2024
diff --git a/build.out b/build.out
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
        `~matplotlib.pyplot.imshow` expects RGB images adopting the straight
        (unassociated) alpha representation.
        """

        im = mimage.AxesImage(self, cmap=cmap, norm=norm, colorizer=colorizer,
                              interpolation=interpolation, origin=origin,
                              extent=extent, filternorm=filternorm,
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
    Affine2D, BboxBase, Bbox, BboxTransform, BboxTransformTo,
    IdentityTransform, TransformedBbox)


 _log = logging.getLogger(__name__)

 # map interpolation strings to module constants
        """
        Set the grid for the pixel centers, and the pixel values.


        Parameters
        ----------
        x, y : 1D array-like
            _api.check_in_list(('upper', 'lower'), origin=origin)
        if origin == "lower":
            arr = arr[::-1]

        if (isinstance(arr, list)):
            arr = np.asarray(arr, dtype=np.uint8)

        if (isinstance(arr, memoryview) and arr.format == "B"
                and arr.ndim == 3 and arr.shape[-1] == 4):
            # Such an ``arr`` would also be handled fine by sm.to_rgba below
            background = PIL.Image.new("RGB", pil_shape, color)
            background.paste(image, image)
            image = background

        pil_kwargs.setdefault("format", format)
        pil_kwargs.setdefault("dpi", (dpi, dpi))
        image.save(fname, **pil_kwargs)
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
    plt.imsave(Path(os.devnull), np.array([[0, 1]]), format=fmt)


 def test_imsave_python_vanilla_list():
    # Initializing RGBA data
    # Instead of testing numpy array, use python list
    input_img = [
        [[255, 0, 0, 1], [0, 255, 0, 1], [0, 0, 255, 1]],
        [[0, 255, 0, 1], [0, 255, 0, 1], [0, 0, 0, 1]],
        [[0, 0, 255, 1], [0, 0, 255, 1], [0, 0, 0, 1]]
    ]
    buff = io.BytesIO()
    plt.imsave(buff, input_img, format="png")
    buff.seek(0)
    read_img = plt.imread(buff)

    # Need to multiply by 255 to adjust for normalization in imread()
    read_img = (255*read_img).astype('uint8')

    assert_array_equal(np.array(input_img), read_img)


 def test_imsave_color_alpha():
    # Test that imsave accept arrays with ndim=3 where the third dimension is
    # color and alpha without raising any exceptions, and that the data is
Original file line number	Diff line number	Diff line change
Expand Up		@@ -197,6 +197,25 @@ def test_imsave_fspath(fmt):
		plt.imsave(Path(os.devnull), np.array([[0, 1]]), format=fmt)


		def test_imsave_python_vanilla_list():
		# Initializing RGBA data
		# Instead of testing numpy array, use python list
		input_img = [
		[[255, 0, 0, 1], [0, 255, 0, 1], [0, 0, 255, 1]],
		[[0, 255, 0, 1], [0, 255, 0, 1], [0, 0, 0, 1]],
		[[0, 0, 255, 1], [0, 0, 255, 1], [0, 0, 0, 1]]
		]
		buff = io.BytesIO()
		plt.imsave(buff, input_img, format="png")
		buff.seek(0)
		read_img = plt.imread(buff)

		# Need to multiply by 255 to adjust for normalization in imread()
		read_img = (255*read_img).astype('uint8')

		assert_array_equal(np.array(input_img), read_img)


		def test_imsave_color_alpha():
		# Test that imsave accept arrays with ndim=3 where the third dimension is
		# color and alpha without raising any exceptions, and that the data is
Expand Down