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Fix axes vlines and hlines using wrong coordinates #25324

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Merged
merged 1 commit into from
Apr 19, 2023
Merged

Fix axes vlines and hlines using wrong coordinates #25324

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46 changes: 34 additions & 12 deletions lib/matplotlib/axes/_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1101,14 +1101,25 @@ def hlines(self, y, xmin, xmax, colors=None, linestyles='solid',
# Extreme values of xmin/xmax/y. Using masked_verts here handles
# the case of y being a masked *object* array (as can be generated
# e.g. by errorbar()), which would make nanmin/nanmax stumble.
minx = np.nanmin(masked_verts[..., 0])
maxx = np.nanmax(masked_verts[..., 0])
miny = np.nanmin(masked_verts[..., 1])
maxy = np.nanmax(masked_verts[..., 1])
updatex = True
updatey = True
if self.name == "rectilinear":
datalim = lines.get_datalim(self.transData)
t = lines.get_transform()
updatex, updatey = t.contains_branch_seperately(self.transData)
minx = np.nanmin(datalim.xmin)
maxx = np.nanmax(datalim.xmax)
miny = np.nanmin(datalim.ymin)
maxy = np.nanmax(datalim.ymax)
else:
minx = np.nanmin(masked_verts[..., 0])
maxx = np.nanmax(masked_verts[..., 0])
miny = np.nanmin(masked_verts[..., 1])
maxy = np.nanmax(masked_verts[..., 1])

corners = (minx, miny), (maxx, maxy)
self.update_datalim(corners)
self.update_datalim(corners, updatex, updatey)
self._request_autoscale_view()

return lines

@_preprocess_data(replace_names=["x", "ymin", "ymax", "colors"],
Expand Down Expand Up @@ -1181,14 +1192,25 @@ def vlines(self, x, ymin, ymax, colors=None, linestyles='solid',
# Extreme values of x/ymin/ymax. Using masked_verts here handles
# the case of x being a masked *object* array (as can be generated
# e.g. by errorbar()), which would make nanmin/nanmax stumble.
minx = np.nanmin(masked_verts[..., 0])
maxx = np.nanmax(masked_verts[..., 0])
miny = np.nanmin(masked_verts[..., 1])
maxy = np.nanmax(masked_verts[..., 1])
updatex = True
updatey = True
if self.name == "rectilinear":
datalim = lines.get_datalim(self.transData)
t = lines.get_transform()
updatex, updatey = t.contains_branch_seperately(self.transData)
minx = np.nanmin(datalim.xmin)
maxx = np.nanmax(datalim.xmax)
miny = np.nanmin(datalim.ymin)
maxy = np.nanmax(datalim.ymax)
else:
minx = np.nanmin(masked_verts[..., 0])
maxx = np.nanmax(masked_verts[..., 0])
miny = np.nanmin(masked_verts[..., 1])
maxy = np.nanmax(masked_verts[..., 1])

corners = (minx, miny), (maxx, maxy)
self.update_datalim(corners)
self.update_datalim(corners, updatex, updatey)
self._request_autoscale_view()

return lines

@_preprocess_data(replace_names=["positions", "lineoffsets",
Expand Down
Binary file added lib/matplotlib/tests/baseline_images/test_axes/vlines_hlines_blended_transform.png
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14 changes: 14 additions & 0 deletions lib/matplotlib/tests/test_axes.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4920,6 +4920,20 @@ def test_lines_with_colors(fig_test, fig_ref, data):
colors=expect_color, linewidth=5)


@image_comparison(['vlines_hlines_blended_transform'],
extensions=['png'], style='mpl20')
def test_vlines_hlines_blended_transform():
t = np.arange(5.0, 10.0, 0.1)
s = np.exp(-t) + np.sin(2 * np.pi * t) + 10
fig, (hax, vax) = plt.subplots(2, 1, figsize=(6, 6))
hax.plot(t, s, '^')
hax.hlines([10, 9], xmin=0, xmax=0.5,
transform=hax.get_yaxis_transform(), colors='r')
vax.plot(t, s, '^')
vax.vlines([6, 7], ymin=0, ymax=0.15, transform=vax.get_xaxis_transform(),
colors='r')


@image_comparison(['step_linestyle', 'step_linestyle'], remove_text=True,
tol=0.2)
def test_step_linestyle():
Expand Down