def normal_pdf(x, mean, var):    return np.exp(-(x - mean)**2 / (2*var))# Generate the space in which the blobs will livexmin, xmax, ymin, ymax = (0, 100, 0, 100)n_bins = 100xx = np.linspace(xmin, xmax, n_bins)yy = np.linspace(ymin, ymax, n_bins)# Generate the blobs. The range of the values is roughly -.0002 to .0002means_high = [20, 50]means_low = [50, 60]var = [150, 200]gauss_x_high = normal_pdf(xx, means_high[0], var[0])gauss_y_high = normal_pdf(yy, means_high[1], var[0])gauss_x_low = normal_pdf(xx, means_low[0], var[1])gauss_y_low = normal_pdf(yy, means_low[1], var[1])weights = (np.outer(gauss_y_high, gauss_x_high) - np.outer(gauss_y_low, gauss_x_low))# We'll also create a grey background into which the pixels will fade#greys = np.full((*weights.shape, 3), 70, dtype=np.uint8)# First we'll plot these blobs using ``imshow`` without transparency.vmax = np.abs(weights).max()imshow_kwargs = {    'vmax': vmax,    'vmin': -vmax,    'cmap': 'RdYlBu',    'extent': (xmin, xmax, ymin, ymax),}fig, ax = plt.subplots()#ax.imshow(greys)ax.imshow(weights, **imshow_kwargs)ax.set_axis_off()# Create an alpha channel of linearly increasing values moving to the right.alphas = np.ones(weights.shape)alphas[:, 30:] = np.linspace(1, 0, 70)# Create the figure and image# Note that the absolute values may be slightly differentfig, ax = plt.subplots()#ax.imshow(greys)ax.imshow(weights, alpha=alphas, **imshow_kwargs)ax.set_axis_off()

# If applicable, paste the console output here##

Error in callback <function post_execute at 0x7f4972d48578> (for post_execute):---------------------------------------------------------------------------ValueError                                Traceback (most recent call last)/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/pyplot.pyc in post_execute()    147             def post_execute():    148                 if matplotlib.is_interactive():--> 149                     draw_all()    150     151             # IPython >= 2/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/_pylab_helpers.pyc in draw_all(cls, force)    134         for f_mgr in cls.get_all_fig_managers():    135             if force or f_mgr.canvas.figure.stale:--> 136                 f_mgr.canvas.draw_idle()    137     138 atexit.register(Gcf.destroy_all)/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/backend_bases.pyc in draw_idle(self, *args, **kwargs)   2053         if not self._is_idle_drawing:   2054             with self._idle_draw_cntx():-> 2055                 self.draw(*args, **kwargs)   2056    2057     def draw_cursor(self, event):/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.pyc in draw(self)    435             # if toolbar:    436             #     toolbar.set_cursor(cursors.WAIT)--> 437             self.figure.draw(self.renderer)    438             # A GUI class may be need to update a window using this draw, so    439             # don't forget to call the superclass./xxx/anaconda2/lib/python2.7/site-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)     53                 renderer.start_filter()     54 ---> 55             return draw(artist, renderer, *args, **kwargs)     56         finally:     57             if artist.get_agg_filter() is not None:/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/figure.pyc in draw(self, renderer)   1491    1492             mimage._draw_list_compositing_images(-> 1493                 renderer, self, artists, self.suppressComposite)   1494    1495             renderer.close_group('figure')/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)    139     if not_composite or not has_images:    140         for a in artists:--> 141             a.draw(renderer)    142     else:    143         # Composite any adjacent images together/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)     53                 renderer.start_filter()     54 ---> 55             return draw(artist, renderer, *args, **kwargs)     56         finally:     57             if artist.get_agg_filter() is not None:/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/axes/_base.pyc in draw(self, renderer, inframe)   2633             renderer.stop_rasterizing()   2634 -> 2635         mimage._draw_list_compositing_images(renderer, self, artists)   2636    2637         renderer.close_group('axes')/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)    139     if not_composite or not has_images:    140         for a in artists:--> 141             a.draw(renderer)    142     else:    143         # Composite any adjacent images together/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)     53                 renderer.start_filter()     54 ---> 55             return draw(artist, renderer, *args, **kwargs)     56         finally:     57             if artist.get_agg_filter() is not None:/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in draw(self, renderer, *args, **kwargs)    592         else:    593             im, l, b, trans = self.make_image(--> 594                 renderer, renderer.get_image_magnification())    595             if im is not None:    596                 renderer.draw_image(gc, l, b, im)/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in make_image(self, renderer, magnification, unsampled)    840         return self._make_image(    841             self._A, bbox, transformed_bbox, self.axes.bbox, magnification,--> 842             unsampled=unsampled)    843     844     def _check_unsampled_image(self, renderer):/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in _make_image(self, A, in_bbox, out_bbox, clip_bbox, magnification, unsampled, round_to_pixel_border)    520                 alpha_channel = output[:, :, 3]    521                 alpha_channel[:] = np.asarray(--> 522                     np.asarray(alpha_channel, np.float32) * out_alpha * alpha,    523                     np.uint8)    524 ValueError: operands could not be broadcast together with shapes (218,218) (100,100) ---------------------------------------------------------------------------ValueError                                Traceback (most recent call last)/xxx/anaconda2/lib/python2.7/site-packages/IPython/core/formatters.pyc in __call__(self, obj)    332                 pass    333             else:--> 334                 return printer(obj)    335             # Finally look for special method names    336             method = get_real_method(obj, self.print_method)/xxx/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.pyc in <lambda>(fig)    245     246     if 'png' in formats:--> 247         png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))    248     if 'retina' in formats or 'png2x' in formats:    249         png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))/xxx/anaconda2/lib/python2.7/site-packages/IPython/core/pylabtools.pyc in print_figure(fig, fmt, bbox_inches, **kwargs)    129     130     bytes_io = BytesIO()--> 131     fig.canvas.print_figure(bytes_io, **kw)    132     data = bytes_io.getvalue()    133     if fmt == 'svg':/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/backend_bases.pyc in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)   2210                     orientation=orientation,   2211                     dryrun=True,-> 2212                     **kwargs)   2213                 renderer = self.figure._cachedRenderer   2214                 bbox_inches = self.figure.get_tightbbox(renderer)/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.pyc in print_png(self, filename_or_obj, *args, **kwargs)    515     516     def print_png(self, filename_or_obj, *args, **kwargs):--> 517         FigureCanvasAgg.draw(self)    518         renderer = self.get_renderer()    519         original_dpi = renderer.dpi/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/backends/backend_agg.pyc in draw(self)    435             # if toolbar:    436             #     toolbar.set_cursor(cursors.WAIT)--> 437             self.figure.draw(self.renderer)    438             # A GUI class may be need to update a window using this draw, so    439             # don't forget to call the superclass./xxx/anaconda2/lib/python2.7/site-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)     53                 renderer.start_filter()     54 ---> 55             return draw(artist, renderer, *args, **kwargs)     56         finally:     57             if artist.get_agg_filter() is not None:/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/figure.pyc in draw(self, renderer)   1491    1492             mimage._draw_list_compositing_images(-> 1493                 renderer, self, artists, self.suppressComposite)   1494    1495             renderer.close_group('figure')/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)    139     if not_composite or not has_images:    140         for a in artists:--> 141             a.draw(renderer)    142     else:    143         # Composite any adjacent images together/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)     53                 renderer.start_filter()     54 ---> 55             return draw(artist, renderer, *args, **kwargs)     56         finally:     57             if artist.get_agg_filter() is not None:/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/axes/_base.pyc in draw(self, renderer, inframe)   2633             renderer.stop_rasterizing()   2634 -> 2635         mimage._draw_list_compositing_images(renderer, self, artists)   2636    2637         renderer.close_group('axes')/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)    139     if not_composite or not has_images:    140         for a in artists:--> 141             a.draw(renderer)    142     else:    143         # Composite any adjacent images together/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/artist.pyc in draw_wrapper(artist, renderer, *args, **kwargs)     53                 renderer.start_filter()     54 ---> 55             return draw(artist, renderer, *args, **kwargs)     56         finally:     57             if artist.get_agg_filter() is not None:/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in draw(self, renderer, *args, **kwargs)    592         else:    593             im, l, b, trans = self.make_image(--> 594                 renderer, renderer.get_image_magnification())    595             if im is not None:    596                 renderer.draw_image(gc, l, b, im)/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in make_image(self, renderer, magnification, unsampled)    840         return self._make_image(    841             self._A, bbox, transformed_bbox, self.axes.bbox, magnification,--> 842             unsampled=unsampled)    843     844     def _check_unsampled_image(self, renderer):/xxx/anaconda2/lib/python2.7/site-packages/matplotlib/image.pyc in _make_image(self, A, in_bbox, out_bbox, clip_bbox, magnification, unsampled, round_to_pixel_border)    520                 alpha_channel = output[:, :, 3]    521                 alpha_channel[:] = np.asarray(--> 522                     np.asarray(alpha_channel, np.float32) * out_alpha * alpha,    523                     np.uint8)    524 ValueError: operands could not be broadcast together with shapes (218,218) (100,100)