Hello,
I’m trying to plot the prior predictive. When I run az.plot_ppc(trace_9, group="prior", kind = 'cumulative', observed=True), it runs fine and looks like thus:
But when I take the ‘cumulative’, I get the following error:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/tmp/ipykernel_15407/3552718766.py in <module>
----> 1 az.plot_ppc(trace_9, group="prior", observed=True)
/opt/conda/lib/python3.7/site-packages/arviz/plots/ppcplot.py in plot_ppc(data, kind, alpha, mean, observed, color, colors, grid, figsize, textsize, data_pairs, var_names, filter_vars, coords, flatten, flatten_pp, num_pp_samples, random_seed, jitter, animated, animation_kwargs, legend, labeller, ax, backend, backend_kwargs, group, show)
354 # TODO: Add backend kwargs
355 plot = get_plotting_function("plot_ppc", "ppcplot", backend)
--> 356 axes = plot(**ppcplot_kwargs)
357 return axes
/opt/conda/lib/python3.7/site-packages/arviz/plots/backends/matplotlib/ppcplot.py in plot_ppc(ax, length_plotters, rows, cols, figsize, animated, obs_plotters, pp_plotters, predictive_dataset, pp_sample_ix, kind, alpha, colors, textsize, mean, observed, jitter, total_pp_samples, legend, labeller, group, animation_kwargs, num_pp_samples, backend_kwargs, show)
166 else:
167 bins = get_bins(vals)
--> 168 _, hist, bin_edges = histogram(vals, bins=bins)
169 hist = np.concatenate((hist[:1], hist))
170 pp_densities.append(hist)
/opt/conda/lib/python3.7/site-packages/arviz/utils.py in __call__(self, *args, **kwargs)
193 """Call the jitted function or normal, depending on flag."""
194 if Numba.numba_flag:
--> 195 return self.numba_fn(*args, **kwargs)
196 else:
197 return self.function(*args, **kwargs)
and prints this:
Why does one work and not the other?