[<matplotlib.lines.Line2D at 0x11a1670f0>]
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/IPython/core/formatters.py in __call__(self, obj)
330 pass
331 else:
--> 332 return printer(obj)
333 # Finally look for special method names
334 method = get_real_method(obj, self.print_method)
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/IPython/core/pylabtools.py in <lambda>(fig)
235
236 if 'png' in formats:
--> 237 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
238 if 'retina' in formats or 'png2x' in formats:
239 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/IPython/core/pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
119
120 bytes_io = BytesIO()
--> 121 fig.canvas.print_figure(bytes_io, **kw)
122 data = bytes_io.getvalue()
123 if fmt == 'svg':
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2198 orientation=orientation,
2199 dryrun=True,
-> 2200 **kwargs)
2201 renderer = self.figure._cachedRenderer
2202 bbox_inches = self.figure.get_tightbbox(renderer)
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/backends/backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
543
544 def print_png(self, filename_or_obj, *args, **kwargs):
--> 545 FigureCanvasAgg.draw(self)
546 renderer = self.get_renderer()
547 original_dpi = renderer.dpi
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/backends/backend_agg.py in draw(self)
462
463 try:
--> 464 self.figure.draw(self.renderer)
465 finally:
466 RendererAgg.lock.release()
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
61 def draw_wrapper(artist, renderer, *args, **kwargs):
62 before(artist, renderer)
---> 63 draw(artist, renderer, *args, **kwargs)
64 after(artist, renderer)
65
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/figure.py in draw(self, renderer)
1142
1143 mimage._draw_list_compositing_images(
-> 1144 renderer, self, dsu, self.suppressComposite)
1145
1146 renderer.close_group('figure')
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/image.py in _draw_list_compositing_images(renderer, parent, dsu, suppress_composite)
137 if not_composite or not has_images:
138 for zorder, a in dsu:
--> 139 a.draw(renderer)
140 else:
141 # Composite any adjacent images together
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
61 def draw_wrapper(artist, renderer, *args, **kwargs):
62 before(artist, renderer)
---> 63 draw(artist, renderer, *args, **kwargs)
64 after(artist, renderer)
65
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/axes/_base.py in draw(self, renderer, inframe)
2424 renderer.stop_rasterizing()
2425
-> 2426 mimage._draw_list_compositing_images(renderer, self, dsu)
2427
2428 renderer.close_group('axes')
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/image.py in _draw_list_compositing_images(renderer, parent, dsu, suppress_composite)
137 if not_composite or not has_images:
138 for zorder, a in dsu:
--> 139 a.draw(renderer)
140 else:
141 # Composite any adjacent images together
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
61 def draw_wrapper(artist, renderer, *args, **kwargs):
62 before(artist, renderer)
---> 63 draw(artist, renderer, *args, **kwargs)
64 after(artist, renderer)
65
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/axis.py in draw(self, renderer, *args, **kwargs)
1136 ticks_to_draw = self._update_ticks(renderer)
1137 ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
-> 1138 renderer)
1139
1140 for tick in ticks_to_draw:
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/axis.py in _get_tick_bboxes(self, ticks, renderer)
1076 for tick in ticks:
1077 if tick.label1On and tick.label1.get_visible():
-> 1078 extent = tick.label1.get_window_extent(renderer)
1079 ticklabelBoxes.append(extent)
1080 if tick.label2On and tick.label2.get_visible():
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/text.py in get_window_extent(self, renderer, dpi)
965 raise RuntimeError('Cannot get window extent w/o renderer')
966
--> 967 bbox, info, descent = self._get_layout(self._renderer)
968 x, y = self.get_unitless_position()
969 x, y = self.get_transform().transform_point((x, y))
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/text.py in _get_layout(self, renderer)
351 tmp, lp_h, lp_bl = renderer.get_text_width_height_descent('lp',
352 self._fontproperties,
--> 353 ismath=False)
354 offsety = (lp_h - lp_bl) * self._linespacing
355
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/backends/backend_agg.py in get_text_width_height_descent(self, s, prop, ismath)
237
238 flags = get_hinting_flag()
--> 239 font = self._get_agg_font(prop)
240 font.set_text(s, 0.0, flags=flags) # the width and height of unrotated string
241 w, h = font.get_width_height()
~/anaconda/envs/tfdeeplearning/lib/python3.5/site-packages/matplotlib/backends/backend_agg.py in _get_agg_font(self, prop)
277 font = get_font(
278 fname,
--> 279 hinting_factor=rcParams['text.hinting_factor'])
280
281 font.clear()
RuntimeError: In FT2Font: Can not load face.
<matplotlib.figure.Figure at 0x116e1d0f0>