Dec 15, 2022 · Dec 15, 2022 · Dec 15, 2022 · Dec 15, 2022
diff --git a/lib/matplotlib/collections.py b/lib/matplotlib/collections.py
                paths.append(mpath.Path(np.column_stack([xs, ys]), path.codes))
            xs = self.convert_xunits(offsets[:, 0])
            ys = self.convert_yunits(offsets[:, 1])
            offsets = np.column_stack([xs, ys])
            offsets = np.ma.column_stack([xs, ys])

        if not transform.is_affine:
            paths = [transform.transform_path_non_affine(path)
diff --git a/...matplotlib/tests/baseline_images/test_collections/test_check_masked_offsets.png b/...matplotlib/tests/baseline_images/test_collections/test_check_masked_offsets.png
diff --git a/lib/matplotlib/tests/test_collections.py b/lib/matplotlib/tests/test_collections.py
 import io
 from types import SimpleNamespace
 from datetime import datetime

 import numpy as np
 from numpy.testing import assert_array_equal, assert_array_almost_equal
    off0 = sc.get_offsets()
    sc.set_offsets(list(zip(y, d)))
    np.testing.assert_allclose(off0, sc.get_offsets())


 @image_comparison(baseline_images=["test_check_masked_offsets"],
                  extensions=["png"], remove_text=True, style="mpl20")
 def test_check_masked_offsets():
    # Check if masked data is respected by scatter
    # Ref: Issue #24545
    unmasked_x = [
        datetime(2022, 12, 15, 4, 49, 52),
        datetime(2022, 12, 15, 4, 49, 53),
        datetime(2022, 12, 15, 4, 49, 54),
        datetime(2022, 12, 15, 4, 49, 55),
        datetime(2022, 12, 15, 4, 49, 56),
    ]

    masked_y = np.ma.array([1, 2, 3, 4, 5], mask=[0, 1, 1, 0, 0])

    fig, ax = plt.subplots()
    ax.scatter(unmasked_x, masked_y)
Original file line number	Diff line number	Diff line change
Expand Up		@@ -322,7 +322,7 @@ def _prepare_points(self):
		paths.append(mpath.Path(np.column_stack([xs, ys]), path.codes))
		xs = self.convert_xunits(offsets[:, 0])
		ys = self.convert_yunits(offsets[:, 1])
		offsets = np.column_stack([xs, ys])
		offsets = np.ma.column_stack([xs, ys])

		if not transform.is_affine:
		paths = [transform.transform_path_non_affine(path)
Expand Down
Original file line number	Diff line number	Diff line change
		@@ -1,5 +1,6 @@
		import io
		from types import SimpleNamespace
		from datetime import datetime

		import numpy as np
		from numpy.testing import assert_array_equal, assert_array_almost_equal
Expand DownExpand Up		@@ -1129,3 +1130,22 @@ def test_set_offset_units():
		off0 = sc.get_offsets()
		sc.set_offsets(list(zip(y, d)))
		np.testing.assert_allclose(off0, sc.get_offsets())


		@image_comparison(baseline_images=["test_check_masked_offsets"],
		extensions=["png"], remove_text=True, style="mpl20")
		def test_check_masked_offsets():
		# Check if masked data is respected by scatter
		# Ref: Issue #24545
		unmasked_x = [
		datetime(2022, 12, 15, 4, 49, 52),
		datetime(2022, 12, 15, 4, 49, 53),
		datetime(2022, 12, 15, 4, 49, 54),
		datetime(2022, 12, 15, 4, 49, 55),
		datetime(2022, 12, 15, 4, 49, 56),
		]

		masked_y = np.ma.array([1, 2, 3, 4, 5], mask=[0, 1, 1, 0, 0])

		fig, ax = plt.subplots()
		ax.scatter(unmasked_x, masked_y)