Hi I am getting this backtrace when I try and plot withing jupyter.
Any ideas?
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-256-b2b5b6d55a52> in <module>
6 cerebro.run()
7 cerebro.broker.getvalue()
----> 8 cerebro.plot()
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/backtrader/cerebro.py in plot(self, plotter, numfigs, iplot, start, end, width, height, dpi, tight, use, **kwargs)
989 rfig = plotter.plot(strat, figid=si * 100,
990 numfigs=numfigs, iplot=iplot,
--> 991 start=start, end=end, use=use)
992 # pfillers=pfillers2)
993
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/backtrader/plot/plot.py in plot(self, strategy, figid, numfigs, iplot, start, end, **kwargs)
218 downinds=self.dplotsdown[ind])
219
--> 220 self.plotdata(data, self.dplotsover[data])
221
222 for ind in self.dplotsdown[data]:
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/backtrader/plot/plot.py in plotdata(self, data, indicators)
667 if self.pinf.sch.volume and voloverlay:
668 volplot = self.plotvolume(
--> 669 data, opens, highs, lows, closes, volumes, vollabel)
670 axvol = self.pinf.daxis[data.volume]
671 ax = axvol.twinx()
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/backtrader/plot/plot.py in plotvolume(self, data, opens, highs, lows, closes, volumes, label)
609
610 volylim /= self.pinf.sch.volscaling
--> 611 ax.set_ylim(0, volylim, auto=True)
612 else:
613 # plot a legend
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/matplotlib-3.2.1-py3.6-linux-x86_64.egg/matplotlib/axes/_base.py in set_ylim(self, bottom, top, emit, auto, ymin, ymax)
3573 self._process_unit_info(ydata=(bottom, top))
3574 bottom = self._validate_converted_limits(bottom, self.convert_yunits)
-> 3575 top = self._validate_converted_limits(top, self.convert_yunits)
3576
3577 if bottom is None or top is None:
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/matplotlib-3.2.1-py3.6-linux-x86_64.egg/matplotlib/axes/_base.py in _validate_converted_limits(self, limit, convert)
3099 if (isinstance(converted_limit, Real)
3100 and not np.isfinite(converted_limit)):
-> 3101 raise ValueError("Axis limits cannot be NaN or Inf")
3102 return converted_limit
3103
ValueError: Axis limits cannot be NaN or Inf
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/data/NFS/akhil/python-env/lib64/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)
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/IPython/core/pylabtools.py in <lambda>(fig)
246
247 if 'png' in formats:
--> 248 png_formatter.for_type(Figure, lambda fig: print_figure(fig, 'png', **kwargs))
249 if 'retina' in formats or 'png2x' in formats:
250 png_formatter.for_type(Figure, lambda fig: retina_figure(fig, **kwargs))
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/IPython/core/pylabtools.py in print_figure(fig, fmt, bbox_inches, **kwargs)
130 FigureCanvasBase(fig)
131
--> 132 fig.canvas.print_figure(bytes_io, **kw)
133 data = bytes_io.getvalue()
134 if fmt == 'svg':
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/matplotlib-3.2.1-py3.6-linux-x86_64.egg/matplotlib/backend_bases.py in print_figure(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, **kwargs)
2103 orientation=orientation,
2104 bbox_inches_restore=_bbox_inches_restore,
-> 2105 **kwargs)
2106 finally:
2107 if bbox_inches and restore_bbox:
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/matplotlib-3.2.1-py3.6-linux-x86_64.egg/matplotlib/backends/backend_agg.py in print_png(self, filename_or_obj, metadata, pil_kwargs, *args, **kwargs)
512 }
513
--> 514 FigureCanvasAgg.draw(self)
515 if pil_kwargs is not None:
516 from PIL import Image
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/matplotlib-3.2.1-py3.6-linux-x86_64.egg/matplotlib/backends/backend_agg.py in draw(self)
386 Draw the figure using the renderer.
387 """
--> 388 self.renderer = self.get_renderer(cleared=True)
389 # Acquire a lock on the shared font cache.
390 with RendererAgg.lock, \
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/matplotlib-3.2.1-py3.6-linux-x86_64.egg/matplotlib/backends/backend_webagg_core.py in get_renderer(self, cleared)
224 if need_new_renderer:
225 self._renderer = backend_agg.RendererAgg(
--> 226 w, h, self.figure.dpi)
227 self._last_renderer = backend_agg.RendererAgg(
228 w, h, self.figure.dpi)
/data/NFS/akhil/python-env/lib64/python3.6/site-packages/matplotlib-3.2.1-py3.6-linux-x86_64.egg/matplotlib/backends/backend_agg.py in __init__(self, width, height, dpi)
90 self.width = width
91 self.height = height
---> 92 self._renderer = _RendererAgg(int(width), int(height), dpi)
93 self._filter_renderers = []
94
ValueError: Image size of 191472350x251 pixels is too large. It must be less than 2^16 in each direction.
<Figure size 432x288 with 3 Axes>