Rasterize smoothed plot

plotting/other.py

@@ -239,7 +239,8 @@ def smooth_plot(ax, x, y, smoothing=None, swap_xy=False, **kwargs):
     r = ax.plot(*v(swap_xy, x, *smooth(y, n=smoothing)), **kwargs)
     if smoothing:
         add_scale(ax, np.mean(np.diff(x))*smoothing, vertical=swap_xy)
-        kwargs.update(lw=1, alpha=0.1, label=None, zorder=-1, color=r[0].get_color())
+        kwargs = dict(dict(lw=1, color=r[0].get_color(), rasterized=True), **kwargs)
+        kwargs.update(label=None, alpha=0.1, zorder=-1)
         ax.plot(*v(swap_xy, x, y), **kwargs)
     return r
 
@@ -487,8 +488,8 @@ def plot_tune_spectrum(ax, libera_data, xy, turn_range=None, time_range=None, tu
                 ax.plot(*v(swap_xy, *fitr[-1]), '--', lw=1, label='\n'.join(labels), zorder=50)
                 q = qs
                 
-        except RuntimeError:
-            print('Warning: fit failed')
+        except RuntimeError as e:
+            print('Warning: fit failed:', e)
         
         if return_spectrum:
             return freq, mag, phase, q