Merge pull request matplotlib#26788 from anntzer/avhlsi

Fix axh{line,span} on polar axes.

Author: QuLogic

doc/api/next_api_changes/behavior/26788-AL.rst

@@ -0,0 +1,6 @@
+``axvspan`` and ``axhspan`` now return ``Rectangle``\s, not ``Polygons``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+This change allows using `~.Axes.axhspan` to draw an annulus on polar axes.
+
+This change also affects other elements built via `~.Axes.axvspan` and
+`~.Axes.axhspan`, such as ``Slider.poly``.

doc/users/next_whats_new/polar-line-spans.rst

@@ -0,0 +1,5 @@
+``axhline`` and ``axhspan`` on polar axes
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+... now draw circles and circular arcs (`~.Axes.axhline`) or annuli and wedges
+(`~.Axes.axhspan`).

lib/matplotlib/axes/_axes.py

@@ -783,6 +783,7 @@ def axhline(self, y=0, xmin=0, xmax=1, **kwargs):
         trans = self.get_yaxis_transform(which='grid')
         l = mlines.Line2D([xmin, xmax], [y, y], transform=trans, **kwargs)
         self.add_line(l)
+        l.get_path()._interpolation_steps = mpl.axis.GRIDLINE_INTERPOLATION_STEPS
         if scaley:
             self._request_autoscale_view("y")
         return l
@@ -851,6 +852,7 @@ def axvline(self, x=0, ymin=0, ymax=1, **kwargs):
         trans = self.get_xaxis_transform(which='grid')
         l = mlines.Line2D([x, x], [ymin, ymax], transform=trans, **kwargs)
         self.add_line(l)
+        l.get_path()._interpolation_steps = mpl.axis.GRIDLINE_INTERPOLATION_STEPS
         if scalex:
             self._request_autoscale_view("x")
         return l
@@ -978,10 +980,17 @@ def axhspan(self, ymin, ymax, xmin=0, xmax=1, **kwargs):
         self._check_no_units([xmin, xmax], ['xmin', 'xmax'])
         (ymin, ymax), = self._process_unit_info([("y", [ymin, ymax])], kwargs)
 
-        verts = (xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin)
-        p = mpatches.Polygon(verts, **kwargs)
+        p = mpatches.Rectangle((xmin, ymin), xmax - xmin, ymax - ymin, **kwargs)
         p.set_transform(self.get_yaxis_transform(which="grid"))
+        # For Rectangles and non-separable transforms, add_patch can be buggy
+        # and update the x limits even though it shouldn't do so for an
+        # yaxis_transformed patch, so undo that update.
+        ix = self.dataLim.intervalx
+        mx = self.dataLim.minposx
         self.add_patch(p)
+        self.dataLim.intervalx = ix
+        self.dataLim.minposx = mx
+        p.get_path()._interpolation_steps = mpl.axis.GRIDLINE_INTERPOLATION_STEPS
         self._request_autoscale_view("y")
         return p
 
@@ -1034,11 +1043,17 @@ def axvspan(self, xmin, xmax, ymin=0, ymax=1, **kwargs):
         self._check_no_units([ymin, ymax], ['ymin', 'ymax'])
         (xmin, xmax), = self._process_unit_info([("x", [xmin, xmax])], kwargs)
 
-        verts = [(xmin, ymin), (xmin, ymax), (xmax, ymax), (xmax, ymin)]
-        p = mpatches.Polygon(verts, **kwargs)
+        p = mpatches.Rectangle((xmin, ymin), xmax - xmin, ymax - ymin, **kwargs)
         p.set_transform(self.get_xaxis_transform(which="grid"))
-        p.get_path()._interpolation_steps = 100
+        # For Rectangles and non-separable transforms, add_patch can be buggy
+        # and update the y limits even though it shouldn't do so for an
+        # xaxis_transformed patch, so undo that update.
+        iy = self.dataLim.intervaly.copy()
+        my = self.dataLim.minposy
         self.add_patch(p)
+        self.dataLim.intervaly = iy
+        self.dataLim.minposy = my
+        p.get_path()._interpolation_steps = mpl.axis.GRIDLINE_INTERPOLATION_STEPS
         self._request_autoscale_view("x")
         return p
 

lib/matplotlib/tests/baseline_images/test_axes/axhvlinespan_interpolation.png

@@ -8849,3 +8849,15 @@ def test_xylim_changed_shared():
     axs[1].callbacks.connect("ylim_changed", events.append)
     axs[0].set(xlim=[1, 3], ylim=[2, 4])
     assert events == [axs[1], axs[1]]
+
+
+@image_comparison(["axhvlinespan_interpolation.png"], style="default")
+def test_axhvlinespan_interpolation():
+    ax = plt.figure().add_subplot(projection="polar")
+    ax.set_axis_off()
+    ax.axvline(.1, c="C0")
+    ax.axvspan(.2, .3, fc="C1")
+    ax.axvspan(.4, .5, .1, .2, fc="C2")
+    ax.axhline(1, c="C0", alpha=.5)
+    ax.axhspan(.8, .9, fc="C1", alpha=.5)
+    ax.axhspan(.6, .7, .8, .9, fc="C2", alpha=.5)

lib/matplotlib/tests/test_axes.py

@@ -142,11 +142,11 @@ def test_nonlinear_containment():
     ax.set(xscale="log", ylim=(0, 1))
     polygon = ax.axvspan(1, 10)
     assert polygon.get_path().contains_point(
-        ax.transData.transform((5, .5)), ax.transData)
+        ax.transData.transform((5, .5)), polygon.get_transform())
     assert not polygon.get_path().contains_point(
-        ax.transData.transform((.5, .5)), ax.transData)
+        ax.transData.transform((.5, .5)), polygon.get_transform())
     assert not polygon.get_path().contains_point(
-        ax.transData.transform((50, .5)), ax.transData)
+        ax.transData.transform((50, .5)), polygon.get_transform())
 
 
 @image_comparison(['arrow_contains_point.png'],

lib/matplotlib/tests/test_path.py

@@ -671,6 +671,7 @@ def intersection(bbox1, bbox2):
         y1 = np.minimum(bbox1.ymax, bbox2.ymax)
         return Bbox([[x0, y0], [x1, y1]]) if x0 <= x1 and y0 <= y1 else None
 
+
 _default_minpos = np.array([np.inf, np.inf])
 
 
@@ -1011,6 +1012,10 @@ def minpos(self):
         """
         return self._minpos
 
+    @minpos.setter
+    def minpos(self, val):
+        self._minpos[:] = val
+
     @property
     def minposx(self):
         """
@@ -1022,6 +1027,10 @@ def minposx(self):
         """
         return self._minpos[0]
 
+    @minposx.setter
+    def minposx(self, val):
+        self._minpos[0] = val
+
     @property
     def minposy(self):
         """
@@ -1033,6 +1042,10 @@ def minposy(self):
         """
         return self._minpos[1]
 
+    @minposy.setter
+    def minposy(self, val):
+        self._minpos[1] = val
+
     def get_points(self):
         """
         Get the points of the bounding box as an array of the form

lib/matplotlib/transforms.py

@@ -432,8 +432,8 @@ def __init__(self, ax, label, valmin, valmax, *, valinit=0.5, valfmt=None,
         Notes
         -----
         Additional kwargs are passed on to ``self.poly`` which is the
-        `~matplotlib.patches.Polygon` that draws the slider knob.  See the
-        `.Polygon` documentation for valid property names (``facecolor``,
+        `~matplotlib.patches.Rectangle` that draws the slider knob.  See the
+        `.Rectangle` documentation for valid property names (``facecolor``,
         ``edgecolor``, ``alpha``, etc.).
         """
         super().__init__(ax, orientation, closedmin, closedmax,
@@ -576,16 +576,12 @@ def set_val(self, val):
         ----------
         val : float
         """
-        xy = self.poly.xy
         if self.orientation == 'vertical':
-            xy[1] = .25, val
-            xy[2] = .75, val
+            self.poly.set_height(val - self.poly.get_y())
             self._handle.set_ydata([val])
         else:
-            xy[2] = val, .75
-            xy[3] = val, .25
+            self.poly.set_width(val - self.poly.get_x())
             self._handle.set_xdata([val])
-        self.poly.xy = xy
         self.valtext.set_text(self._format(val))
         if self.drawon:
             self.ax.figure.canvas.draw_idle()