AttributeError: 'MaskedConstant' object has no attribute '_fill_value'
irwenqiang opened this issue · 1 comments
`
AttributeError Traceback (most recent call last)
d:\ProgramData\Anaconda3\envs\tensorflow\lib\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)
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\IPython\core\pylabtools.py in (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))
d:\ProgramData\Anaconda3\envs\tensorflow\lib\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':
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2206 orientation=orientation,
2207 dryrun=True,
-> 2208 **kwargs)
2209 renderer = self.figure._cachedRenderer
2210 bbox_inches = self.figure.get_tightbbox(renderer)
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\backends\backend_agg.py in print_png(self, filename_or_obj, *args, **kwargs)
505
506 def print_png(self, filename_or_obj, *args, **kwargs):
--> 507 FigureCanvasAgg.draw(self)
508 renderer = self.get_renderer()
509 original_dpi = renderer.dpi
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\backends\backend_agg.py in draw(self)
428 if toolbar:
429 toolbar.set_cursor(cursors.WAIT)
--> 430 self.figure.draw(self.renderer)
431 finally:
432 if toolbar:
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\artist.py 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:
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
1293
1294 mimage._draw_list_compositing_images(
-> 1295 renderer, self, artists, self.suppressComposite)
1296
1297 renderer.close_group('figure')
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
136 if not_composite or not has_images:
137 for a in artists:
--> 138 a.draw(renderer)
139 else:
140 # Composite any adjacent images together
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\artist.py 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:
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\axes_base.py in draw(self, renderer, inframe)
2397 renderer.stop_rasterizing()
2398
-> 2399 mimage._draw_list_compositing_images(renderer, self, artists)
2400
2401 renderer.close_group('axes')
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
136 if not_composite or not has_images:
137 for a in artists:
--> 138 a.draw(renderer)
139 else:
140 # Composite any adjacent images together
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\artist.py 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:
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\image.py in draw(self, renderer, *args, **kwargs)
546 else:
547 im, l, b, trans = self.make_image(
--> 548 renderer, renderer.get_image_magnification())
549 if im is not None:
550 renderer.draw_image(gc, l, b, im)
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\image.py in make_image(self, renderer, magnification, unsampled)
772 return self._make_image(
773 self._A, bbox, transformed_bbox, self.axes.bbox, magnification,
--> 774 unsampled=unsampled)
775
776 def _check_unsampled_image(self, renderer):
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\matplotlib\image.py in _make_image(self, A, in_bbox, out_bbox, clip_bbox, magnification, unsampled, round_to_pixel_border)
368 # old versions of numpy do not work with np.nammin
369 # and np.nanmax as inputs
--> 370 a_min = np.ma.min(A).astype(scaled_dtype)
371 a_max = np.ma.max(A).astype(scaled_dtype)
372 # scale the input data to [.1, .9]. The Agg
d:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\numpy\ma\core.py in astype(self, newtype)
3203 output._mask = self._mask.astype([(n, bool) for n in names])
3204 # Don't check _fill_value if it's None, that'll speed things up
-> 3205 if self._fill_value is not None:
3206 output._fill_value = _check_fill_value(self._fill_value, newtype)
3207 return output
AttributeError: 'MaskedConstant' object has no attribute '_fill_value'
<matplotlib.figure.Figure at 0x3828a8d0>
`
cmake (0.6.0)
cycler (0.10.0)
gym (0.7.3, c:\users\rye
matplotlib (2.1.1)
nltk (3.2.4)
numpy (1.11.1)
olefile (0.44)
opencv-python (3.1.0.0)
pandas (0.19.2)
Pillow (4.0.0)
pip (9.0.1)
protobuf (3.2.0)
pydicom (0.9.9)
pyglet (1.2.4)
pyparsing (2.2.0)
python-dateutil (2.6.1)
pytz (2017.3)
requests (2.13.0)
saliency (0.0.2)
setuptools (20.10.1)
six (1.11.0)
tensorflow (0.12.1)
wheel (0.29.0)
After upgraded numpy from 1.11.1 to 1.14.0, it works.
Collecting numpy Using cached numpy-1.14.0-cp35-none-win_amd64.whl Installing collected packages: numpy Found existing installation: numpy 1.13.3 Uninstalling numpy-1.13.3: Successfully uninstalled numpy-1.13.3 Successfully installed numpy-1.14.0