%matplotlibinlinefrommatplotlibimportpyplotasplt_,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()

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 - 1ValueError: cannot convert float NaN to integer

%matplotlibnotebookfrommatplotlibimportpyplotasplt_,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()