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error in using 'geomeppy' to view the idf model

Hi everyone, I am using geomeppy to view an IDF model in python. but I get the following error when running the idf.view_model() command.

ValueError: not enough values to unpack (expected 5, got 0)

complete error details:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
    339                 pass
    340             else:
--> 341                 return printer(obj)
    342             # Finally look for special method names
    343             method = get_real_method(obj, self.print_method)

C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
    242 
    243     if 'png' in formats:
--> 244         png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
    245     if 'retina' in formats or 'png2x' in formats:
    246         png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))

C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
    126 
    127     bytes_io = BytesIO()
--> 128     fig.canvas.print_figure(bytes_io, **kw)
    129     data = bytes_io.getvalue()
    130     if fmt == 'svg':

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
   2191                            else suppress())
   2192                     with ctx:
-> 2193                         self.figure.draw(renderer)
   2194 
   2195                     bbox_inches = self.figure.get_tightbbox(

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
   1862             self.patch.draw(renderer)
   1863             mimage._draw_list_compositing_images(
-> 1864                 renderer, self, artists, self.suppressComposite)
   1865 
   1866             renderer.close_group('figure')

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    129     if not_composite or not has_images:
    130         for a in artists:
--> 131             a.draw(renderer)
    132     else:
    133         # Composite any adjacent images together

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

C:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in draw(self, renderer)
    445                 sorted(self.collections,
    446                        key=lambda col: col.do_3d_projection(renderer),
--> 447                        reverse=True)):
    448             col.zorder = zorder_offset + i
    449         for i, patch in enumerate(

C:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in <lambda>(col)
    444         for i, col in enumerate(
    445                 sorted(self.collections,
--> 446                        key=lambda col: col.do_3d_projection(renderer),
    447                        reverse=True)):
    448             col.zorder = zorder_offset + i

C:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\art3d.py in do_3d_projection(self, renderer)
    690 
    691         zzs, segments_2d, self._facecolors2d, self._edgecolors2d, idxs = \
--> 692             zip(*z_segments_2d)
    693 
    694         if self._codes3d is not None:

ValueError: not enough values to unpack (expected 5, got 0)

<Figure size 432x288 with 1 Axes>

error in using 'geomeppy' to view the idf model

Hi everyone, I am using geomeppy to view an IDF model in python. but I get the following error when running the idf.view_model() command.

ValueError: not enough values to unpack (expected 5, got 0)

can anyone help me with this issue?


complete error details:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
    339                 pass
    340             else:
--> 341                 return printer(obj)
    342             # Finally look for special method names
    343             method = get_real_method(obj, self.print_method)

C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
    242 
    243     if 'png' in formats:
--> 244         png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
    245     if 'retina' in formats or 'png2x' in formats:
    246         png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))

C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
    126 
    127     bytes_io = BytesIO()
--> 128     fig.canvas.print_figure(bytes_io, **kw)
    129     data = bytes_io.getvalue()
    130     if fmt == 'svg':

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
   2191                            else suppress())
   2192                     with ctx:
-> 2193                         self.figure.draw(renderer)
   2194 
   2195                     bbox_inches = self.figure.get_tightbbox(

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
   1862             self.patch.draw(renderer)
   1863             mimage._draw_list_compositing_images(
-> 1864                 renderer, self, artists, self.suppressComposite)
   1865 
   1866             renderer.close_group('figure')

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    129     if not_composite or not has_images:
    130         for a in artists:
--> 131             a.draw(renderer)
    132     else:
    133         # Composite any adjacent images together

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

C:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in draw(self, renderer)
    445                 sorted(self.collections,
    446                        key=lambda col: col.do_3d_projection(renderer),
--> 447                        reverse=True)):
    448             col.zorder = zorder_offset + i
    449         for i, patch in enumerate(

C:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in <lambda>(col)
    444         for i, col in enumerate(
    445                 sorted(self.collections,
--> 446                        key=lambda col: col.do_3d_projection(renderer),
    447                        reverse=True)):
    448             col.zorder = zorder_offset + i

C:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\art3d.py in do_3d_projection(self, renderer)
    690 
    691         zzs, segments_2d, self._facecolors2d, self._edgecolors2d, idxs = \
--> 692             zip(*z_segments_2d)
    693 
    694         if self._codes3d is not None:

ValueError: not enough values to unpack (expected 5, got 0)

<Figure size 432x288 with 1 Axes>

error in using 'geomeppy' to view the idf model

Hi everyone, I am using geomeppy to view an IDF model in python. but I get the following error when running the idf.view_model() command.

ValueError: not enough values to unpack (expected 5, got 0)

can anyone help me with this issue?


complete error details:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\formatters.py in __call__(self, obj)
    339                 pass
    340             else:
--> 341                 return printer(obj)
    342             # Finally look for special method names
    343             method = get_real_method(obj, self.print_method)

C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in <lambda>(fig)
    242 
    243     if 'png' in formats:
--> 244         png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
    245     if 'retina' in formats or 'png2x' in formats:
    246         png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))

C:\ProgramData\Anaconda3\lib\site-packages\IPython\core\pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
    126 
    127     bytes_io = BytesIO()
--> 128     fig.canvas.print_figure(bytes_io, **kw)
    129     data = bytes_io.getvalue()
    130     if fmt == 'svg':

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)
   2191                            else suppress())
   2192                     with ctx:
-> 2193                         self.figure.draw(renderer)
   2194 
   2195                     bbox_inches = self.figure.get_tightbbox(

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\figure.py in draw(self, renderer)
   1862             self.patch.draw(renderer)
   1863             mimage._draw_list_compositing_images(
-> 1864                 renderer, self, artists, self.suppressComposite)
   1865 
   1866             renderer.close_group('figure')

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\image.py in _draw_list_compositing_images(renderer, parent, artists, suppress_composite)
    129     if not_composite or not has_images:
    130         for a in artists:
--> 131             a.draw(renderer)
    132     else:
    133         # Composite any adjacent images together

C:\ProgramData\Anaconda3\lib\site-packages\matplotlib\artist.py in draw_wrapper(artist, renderer, *args, **kwargs)
     39                 renderer.start_filter()
     40 
---> 41             return draw(artist, renderer, *args, **kwargs)
     42         finally:
     43             if artist.get_agg_filter() is not None:

C:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in draw(self, renderer)
    445                 sorted(self.collections,
    446                        key=lambda col: col.do_3d_projection(renderer),
--> 447                        reverse=True)):
    448             col.zorder = zorder_offset + i
    449         for i, patch in enumerate(

C:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\axes3d.py in <lambda>(col)
    444         for i, col in enumerate(
    445                 sorted(self.collections,
--> 446                        key=lambda col: col.do_3d_projection(renderer),
    447                        reverse=True)):
    448             col.zorder = zorder_offset + i

C:\ProgramData\Anaconda3\lib\site-packages\mpl_toolkits\mplot3d\art3d.py in do_3d_projection(self, renderer)
    690 
    691         zzs, segments_2d, self._facecolors2d, self._edgecolors2d, idxs = \
--> 692             zip(*z_segments_2d)
    693 
    694         if self._codes3d is not None:

ValueError: not enough values to unpack (expected 5, got 0)

<Figure size 432x288 with 1 Axes>