creating PathCollection proxy artist with %matplotlib inline raises ValueError: cannot convert float NaN to integer #10360
Description
First, I'm not sure if this is a matplotlibor a jupyter bug, so I apologize if I'm posting at the wrong place.
I'm having some problems with some code that used to work in a previous version of maptlotlib+jupyter notebook.
I managed to trace the problem to creating an empty PathCollection to be used as a legend proxy artist, but the Exception is only raised when using the inline backend (%matplotlib inline). The code works fine using %matplotlib notebook or in ipython using the MacOSX backend
Bug report
Bug summary
Code for reproduction
%matplotlib inline
from matplotlib import pyplot as plt
_, ax = plt.subplots()
a = ax.scatter([], [], clip_on=False,
marker='s', s=20, facecolor='k',
edgecolors='r', linewidths=5,
zorder=100, label='label')
ax.legend(handles=[a])
plt.show()Actual outcome
ValueError Traceback (most recent call last)
~/anaconda3/lib/python3.6/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)
~/anaconda3/lib/python3.6/site-packages/IPython/core/pylabtools.py in <lambda>(fig)
236
237 if 'png' in formats:
--> 238 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
239 if 'retina' in formats or 'png2x' in formats:
240 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
~/anaconda3/lib/python3.6/site-packages/IPython/core/pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
120
121 bytes_io = BytesIO()
--> 122 fig.canvas.print_figure(bytes_io, **kw)
123 data = bytes_io.getvalue()
124 if fmt == 'svg':
~/anaconda3/lib/python3.6/site-packages/matplotlib/backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)
2265 orientation=orientation,
2266 bbox_inches_restore=_bbox_inches_restore,
-> 2267 **kwargs)
2268 finally:
2269 if bbox_inches and restore_bbox:
~/anaconda3/lib/python3.6/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
~/anaconda3/lib/python3.6/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:
~/anaconda3/lib/python3.6/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:
~/anaconda3/lib/python3.6/site-packages/matplotlib/figure.py in draw(self, renderer)
1297
1298 mimage._draw_list_compositing_images(
-> 1299 renderer, self, artists, self.suppressComposite)
1300
1301 renderer.close_group('figure')
~/anaconda3/lib/python3.6/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
~/anaconda3/lib/python3.6/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:
~/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_base.py in draw(self, renderer, inframe)
2435 renderer.stop_rasterizing()
2436
-> 2437 mimage._draw_list_compositing_images(renderer, self, artists)
2438
2439 renderer.close_group('axes')
~/anaconda3/lib/python3.6/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
~/anaconda3/lib/python3.6/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:
~/anaconda3/lib/python3.6/site-packages/matplotlib/axis.py in draw(self, renderer, *args, **kwargs)
1131 renderer.open_group(__name__)
1132
-> 1133 ticks_to_draw = self._update_ticks(renderer)
1134 ticklabelBoxes, ticklabelBoxes2 = self._get_tick_bboxes(ticks_to_draw,
1135 renderer)
~/anaconda3/lib/python3.6/site-packages/matplotlib/axis.py in _update_ticks(self, renderer)
972
973 interval = self.get_view_interval()
--> 974 tick_tups = list(self.iter_ticks())
975 if self._smart_bounds and tick_tups:
976 # handle inverted limits
~/anaconda3/lib/python3.6/site-packages/matplotlib/axis.py in iter_ticks(self)
915 Iterate through all of the major and minor ticks.
916 """
--> 917 majorLocs = self.major.locator()
918 majorTicks = self.get_major_ticks(len(majorLocs))
919 self.major.formatter.set_locs(majorLocs)
~/anaconda3/lib/python3.6/site-packages/matplotlib/ticker.py in __call__(self)
1951 def __call__(self):
1952 vmin, vmax = self.axis.get_view_interval()
-> 1953 return self.tick_values(vmin, vmax)
1954
1955 def tick_values(self, vmin, vmax):
~/anaconda3/lib/python3.6/site-packages/matplotlib/ticker.py in tick_values(self, vmin, vmax)
1959 vmin, vmax = mtransforms.nonsingular(
1960 vmin, vmax, expander=1e-13, tiny=1e-14)
-> 1961 locs = self._raw_ticks(vmin, vmax)
1962
1963 prune = self._prune
~/anaconda3/lib/python3.6/site-packages/matplotlib/ticker.py in _raw_ticks(self, vmin, vmax)
1901 if self._nbins == 'auto':
1902 if self.axis is not None:
-> 1903 nbins = np.clip(self.axis.get_tick_space(),
1904 max(1, self._min_n_ticks - 1), 9)
1905 else:
~/anaconda3/lib/python3.6/site-packages/matplotlib/axis.py in get_tick_space(self)
2060 size = tick.label1.get_size() * 3
2061 if size > 0:
-> 2062 return int(np.floor(length / size))
2063 else:
2064 return 2**31 - 1
ValueError: cannot convert float NaN to integer
Expected outcome
The exact same code using %matplotlib notebook
%matplotlib notebook
from matplotlib import pyplot as plt
_, ax = plt.subplots()
a = ax.scatter([], [], clip_on=False,
marker='s', s=20, facecolor='k',
edgecolors='r', linewidths=5,
zorder=100, label='label')
ax.legend(handles=[a])
plt.show()produces the expected output
The code using %matplotlib inline used to work before, but unfortunately, I don't know which version of matplotlib/jupyter I was using
Matplotlib version
- Operating system: OSX
- Matplotlib version: 2.1.2
- Matplotlib backend (
print(matplotlib.get_backend())): module://ipykernel.pylab.backend_inline - Python version: Python 3.6.4 |Anaconda custom (64-bit)
- Jupyter version (if applicable):
The version of the notebook server is: 5.3.1 - Other libraries: