FIX: paintEvent/resizeEvent & update

mne/viz/_3d.py

@@ -2872,7 +2872,7 @@ def plot_dipole_locations(dipoles, trans=None, subject=None, subjects_dir=None,
             u, v, w = ori.T
             renderer.quiver3d(x, y, z, u, v, w, scale=3 * scale,
                               color=color, mode='arrow')
-
+        renderer.show()
         fig = renderer.scene()
     else:
         raise ValueError('Mode must be "cone", "arrow" or orthoview", '

mne/viz/backends/_pyvista.py

@@ -661,7 +661,8 @@ def _actor(self, mapper=None):
         return actor
 
     def _process_events(self):
-        _process_events(self.plotter)
+        for plotter in self._all_plotters:
+            _process_events(plotter)
 
     def _update_picking_callback(self,
                                  on_mouse_move,

mne/viz/backends/_qt.py

@@ -506,7 +506,8 @@ def show(self):
         with _qt_disable_paint(self.plotter):
             with self._window_ensure_minimum_sizes():
                 self.plotter.app_window.show()
-        self.plotter.update()
+        self._update()
+        self._process_events()
 
 
 def _create_dock_widget(window, name, area):

tutorials/sample-datasets/plot_phantom_4DBTi.py

@@ -64,7 +64,7 @@
 print("errors (mm) : %s" % errors)
 
 ###############################################################################
-# Plot the dipoles in 3D
+# Plot the dipoles in 3D:
 actual_amp = np.ones(len(dip))  # misc amp to create Dipole instance
 actual_gof = np.ones(len(dip))  # misc GOF to create Dipole instance
 dip = mne.Dipole(dip.times, pos, actual_amp, ori, actual_gof)

tutorials/source-modeling/plot_source_alignment.py

@@ -95,7 +95,7 @@
 # Note that all three coordinate systems are **RAS** coordinate frames and
 # hence are also `right-handed`_ coordinate systems. Finally, note that the
 # ``coord_frame`` parameter sets which coordinate frame the camera
-# should initially be aligned with. Let's take a look:
+# should initially be aligned with. Let's have a look:
 
 fig = mne.viz.plot_alignment(raw.info, trans=trans, subject='sample',
                              subjects_dir=subjects_dir, surfaces='head-dense',