matplotlib
diff --git a/‎lib/mpl_toolkits/axisartist/floating_axes.py
Copy file name to clipboardExpand all lines: lib/mpl_toolkits/axisartist/floating_axes.py
-34Lines changed: 0 additions & 34 deletions b/‎lib/mpl_toolkits/axisartist/floating_axes.py
Copy file name to clipboardExpand all lines: lib/mpl_toolkits/axisartist/floating_axes.py
-34Lines changed: 0 additions & 34 deletions
diff --git a/‎lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py
Copy file name to clipboardExpand all lines: lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py
+12-11Lines changed: 12 additions & 11 deletions b/‎lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py
Copy file name to clipboardExpand all lines: lib/mpl_toolkits/axisartist/grid_helper_curvelinear.py
+12-11Lines changed: 12 additions & 11 deletions
@@ -40,37 +40,6 @@ def update_lim(self, axes):
         self.grid_helper.update_lim(axes)
         self.grid_info = self.grid_helper.grid_info
 
-    def get_axislabel_pos_angle(self, axes):
-
-        extremes = self.grid_info["extremes"]
-
-        if self.nth_coord == 0:
-            xx0 = self.value
-            yy0 = (extremes[2]+extremes[3])/2.
-            dxx, dyy = 0., abs(extremes[2]-extremes[3])/1000.
-        elif self.nth_coord == 1:
-            xx0 = (extremes[0]+extremes[1])/2.
-            yy0 = self.value
-            dxx, dyy = abs(extremes[0]-extremes[1])/1000., 0.
-
-        grid_finder = self.grid_helper.grid_finder
-        xx1, yy1 = grid_finder.transform_xy([xx0], [yy0])
-
-        trans_passingthrough_point = axes.transData + axes.transAxes.inverted()
-        p = trans_passingthrough_point.transform_point([xx1[0], yy1[0]])
-
-        if 0 <= p[0] <= 1 and 0 <= p[1] <= 1:
-            xx1c, yy1c = axes.transData.transform_point([xx1[0], yy1[0]])
-            xx2, yy2 = grid_finder.transform_xy([xx0+dxx], [yy0+dyy])
-            xx2c, yy2c = axes.transData.transform_point([xx2[0], yy2[0]])
-
-            return (xx1c, yy1c), np.arctan2(yy2c-yy1c, xx2c-xx1c)/np.pi*180.
-        else:
-            return None, None
-
-    def get_tick_transform(self, axes):
-        return IdentityTransform()  # axes.transData
-
     def get_tick_iterators(self, axes):
         """tick_loc, tick_angle, tick_label, (optionally) tick_label"""
 
@@ -164,9 +133,6 @@ def f1():
 
         return f1(), iter([])
 
-    def get_line_transform(self, axes):
-        return axes.transData
-
     def get_line(self, axes):
 
         self.update_lim(axes)
 
@@ -157,25 +157,26 @@ def get_axislabel_pos_angle(self, axes):
 
         if self.nth_coord == 0:
             xx0 = self.value
-            yy0 = (extremes[2]+extremes[3])/2.
-            dxx, dyy = 0., abs(extremes[2]-extremes[3])/1000.
+            yy0 = (extremes[2] + extremes[3]) / 2
+            dxx = 0
+            dyy = abs(extremes[2] - extremes[3]) / 1000
         elif self.nth_coord == 1:
-            xx0 = (extremes[0]+extremes[1])/2.
+            xx0 = (extremes[0] + extremes[1]) / 2
             yy0 = self.value
-            dxx, dyy = abs(extremes[0]-extremes[1])/1000., 0.
+            dxx = abs(extremes[0] - extremes[1]) / 1000
+            dyy = 0
 
         grid_finder = self.grid_helper.grid_finder
-        xx1, yy1 = grid_finder.transform_xy([xx0], [yy0])
+        (xx1,), (yy1,) = grid_finder.transform_xy([xx0], [yy0])
 
         trans_passingthrough_point = axes.transData + axes.transAxes.inverted()
-        p = trans_passingthrough_point.transform_point([xx1[0], yy1[0]])
+        p = trans_passingthrough_point.transform_point([xx1, yy1])
 
         if 0 <= p[0] <= 1 and 0 <= p[1] <= 1:
-            xx1c, yy1c = axes.transData.transform_point([xx1[0], yy1[0]])
-            xx2, yy2 = grid_finder.transform_xy([xx0+dxx], [yy0+dyy])
-            xx2c, yy2c = axes.transData.transform_point([xx2[0], yy2[0]])
-
-            return (xx1c, yy1c), np.arctan2(yy2c-yy1c, xx2c-xx1c)/np.pi*180.
+            xx1c, yy1c = axes.transData.transform_point([xx1, yy1])
+            (xx2,), (yy2,) = grid_finder.transform_xy([xx0 + dxx], [yy0 + dyy])
+            xx2c, yy2c = axes.transData.transform_point([xx2, yy2])
+            return (xx1c, yy1c), np.rad2deg(np.arctan2(yy2c-yy1c, xx2c-xx1c))
         else:
             return None, None