Time variable in Lotka-Volterra plots

[PRKramer]

Approximate Bayesian Computation:
Notebook url:

Issue description

Both plots of population versus time do not represent time correctly.

Note that this issue tracker is about the contents in the notebooks, if
the notebook is instead triggering a bug or error in pymc, please
report to https://github.com/pymc-devs/pymc/issues instead

Expected output

Time should be running from 0 to 15, not 0 to 100, based on how the variable t was defined.

Proposed solution

This can be simply fixed by including the t argument in the plot commands. For example in #plotting observed data

ax.plot(t,observed[:, 0], "x", label="prey")
ax.plot(t,observed[:, 1], "x", label="predator")

and similarly in #plot results

[OriolAbril]

Thanks for reporting! Would you be interested in submitting a PR to fix it?

[PRKramer]

Yes, I'll await formal assignment.

[PRKramer]

The notebook now has some overflow warnings and other errors being generated by the sampler. I don't think we tried to change anything other than the plots, so not sure how these problems arose?

[MacroLens]

This issue can be closed.