matplotlib
diff --git a/‎lib/matplotlib/tests/test_ticker.py
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_ticker.py
+9Lines changed: 9 additions & 0 deletions b/‎lib/matplotlib/tests/test_ticker.py
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_ticker.py
+9Lines changed: 9 additions & 0 deletions
diff --git a/‎lib/matplotlib/ticker.py
Copy file name to clipboardExpand all lines: lib/matplotlib/ticker.py
-12Lines changed: 0 additions & 12 deletions b/‎lib/matplotlib/ticker.py
Copy file name to clipboardExpand all lines: lib/matplotlib/ticker.py
-12Lines changed: 0 additions & 12 deletions
@@ -208,6 +208,15 @@ def test_basic(self):
         test_value = np.array([0.5, 1., 2., 4., 8., 16., 32., 64., 128., 256.])
         assert_almost_equal(loc.tick_values(1, 100), test_value)
 
+    def test_polar_axes(self):
+        """
+        Polar axes have a different ticking logic.
+        """
+        fig, ax = plt.subplots(subplot_kw={'projection': 'polar'})
+        ax.set_yscale('log')
+        ax.set_ylim(1, 100)
+        assert_array_equal(ax.get_yticks(), [10, 100, 1000])
+
     def test_switch_to_autolocator(self):
         loc = mticker.LogLocator(subs="all")
         assert_array_equal(loc.tick_values(0.45, 0.55),
 
@@ -2352,14 +2352,6 @@ def tick_values(self, vmin, vmax):
             numticks = self.numticks
 
         b = self._base
-        # dummy axis has no axes attribute
-        if hasattr(self.axis, 'axes') and self.axis.axes.name == 'polar':
-            vmax = math.ceil(math.log(vmax) / math.log(b))
-            decades = np.arange(vmax - self.numdecs, vmax)
-            ticklocs = b ** decades
-
-            return ticklocs
-
         if vmin <= 0.0:
             if self.axis is not None:
                 vmin = self.axis.get_minpos()
@@ -2444,10 +2436,6 @@ def view_limits(self, vmin, vmax):
 
         vmin, vmax = self.nonsingular(vmin, vmax)
 
-        if self.axis.axes.name == 'polar':
-            vmax = math.ceil(math.log(vmax) / math.log(b))
-            vmin = b ** (vmax - self.numdecs)
-
         if mpl.rcParams['axes.autolimit_mode'] == 'round_numbers':
             vmin = _decade_less_equal(vmin, self._base)
             vmax = _decade_greater_equal(vmax, self._base)