Apr 17, 2024 · Mar 22, 2024 · Apr 15, 2024
diff --git a/lib/matplotlib/image.py b/lib/matplotlib/image.py
                B[:, :, 0:3] = A
                B[:, :, 3] = 255
                A = B
        vl = self.axes.viewLim
        l, b, r, t = self.axes.bbox.extents
        width = int(((round(r) + 0.5) - (round(l) - 0.5)) * magnification)
        height = int(((round(t) + 0.5) - (round(b) - 0.5)) * magnification)
        x_pix = np.linspace(vl.x0, vl.x1, width)
        y_pix = np.linspace(vl.y0, vl.y1, height)

        invertedTransform = self.axes.transData.inverted()
        x_pix = invertedTransform.transform(
            [(x, b) for x in np.linspace(l, r, width)])[:, 0]
        y_pix = invertedTransform.transform(
            [(l, y) for y in np.linspace(b, t, height)])[:, 1]

        if self._interpolation == "nearest":
            x_mid = (self._Ax[:-1] + self._Ax[1:]) / 2
            y_mid = (self._Ay[:-1] + self._Ay[1:]) / 2
diff --git a/lib/matplotlib/tests/baseline_images/test_image/nonuniform_and_pcolor.png b/lib/matplotlib/tests/baseline_images/test_image/nonuniform_and_pcolor.png
diff --git a/lib/matplotlib/tests/baseline_images/test_image/nonuniform_logscale.png b/lib/matplotlib/tests/baseline_images/test_image/nonuniform_logscale.png
diff --git a/lib/matplotlib/tests/test_image.py b/lib/matplotlib/tests/test_image.py
        ax.set(xlim=(0, 10))


 @image_comparison(["nonuniform_logscale.png"], style="mpl20")
 def test_nonuniform_logscale():
    _, axs = plt.subplots(ncols=3, nrows=1)

    for i in range(3):
        ax = axs[i]
        im = NonUniformImage(ax)
        im.set_data(np.arange(1, 4) ** 2, np.arange(1, 4) ** 2,
                    np.arange(9).reshape((3, 3)))
        ax.set_xlim(1, 16)
        ax.set_ylim(1, 16)
        ax.set_box_aspect(1)
        if i == 1:
            ax.set_xscale("log", base=2)
            ax.set_yscale("log", base=2)
        if i == 2:
            ax.set_xscale("log", base=4)
            ax.set_yscale("log", base=4)
        ax.add_image(im)


 @image_comparison(
    ['rgba_antialias.png'], style='mpl20', remove_text=True,
    tol=0 if platform.machine() == 'x86_64' else 0.007)
Original file line number	Diff line number	Diff line change
Expand Up		@@ -1085,12 +1085,16 @@ def make_image(self, renderer, magnification=1.0, unsampled=False):
		B[:, :, 0:3] = A
		B[:, :, 3] = 255
		A = B
		vl = self.axes.viewLim
		l, b, r, t = self.axes.bbox.extents
		width = int(((round(r) + 0.5) - (round(l) - 0.5)) * magnification)
		height = int(((round(t) + 0.5) - (round(b) - 0.5)) * magnification)
		x_pix = np.linspace(vl.x0, vl.x1, width)
		y_pix = np.linspace(vl.y0, vl.y1, height)

		invertedTransform = self.axes.transData.inverted()
		x_pix = invertedTransform.transform(
		[(x, b) for x in np.linspace(l, r, width)])[:, 0]
		y_pix = invertedTransform.transform(
		[(l, y) for y in np.linspace(b, t, height)])[:, 1]

		if self._interpolation == "nearest":
		x_mid = (self._Ax[:-1] + self._Ax[1:]) / 2
		y_mid = (self._Ay[:-1] + self._Ay[1:]) / 2
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Original file line number	Diff line number	Diff line change
Expand Up		@@ -1406,6 +1406,27 @@ def test_nonuniform_and_pcolor():
		ax.set(xlim=(0, 10))


		@image_comparison(["nonuniform_logscale.png"], style="mpl20")
		def test_nonuniform_logscale():
		_, axs = plt.subplots(ncols=3, nrows=1)

		for i in range(3):
		ax = axs[i]
		im = NonUniformImage(ax)
		im.set_data(np.arange(1, 4) 2, np.arange(1, 4) 2,
		np.arange(9).reshape((3, 3)))
		ax.set_xlim(1, 16)
		ax.set_ylim(1, 16)
		ax.set_box_aspect(1)
		if i == 1:
		ax.set_xscale("log", base=2)
		ax.set_yscale("log", base=2)
		if i == 2:
		ax.set_xscale("log", base=4)
		ax.set_yscale("log", base=4)
		ax.add_image(im)


		@image_comparison(
		['rgba_antialias.png'], style='mpl20', remove_text=True,
		tol=0 if platform.machine() == 'x86_64' else 0.007)
Expand Down