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Plot posterior gives anomalous results for small values

See original GitHub issue

Describe the bug I have a model with a small parameter, and on plot posterior the variable is displayed (incorrectly) as having a mean of “0.0” and an HPD between 0.0 and 0.0.

Here’s a snippet of the picture:

To Reproduce

Attached a Jupyter notebook sufficient to reproduce the issue (had to attach it as a .txt file, but should simply be rename-able to run).

Wood Model.ipynb.txt

Expected behavior Expected the values displayed to be scaled appropriately.

Additional context arviz version 0.3.3 MacOS Mojave

Issue Analytics

State:
Created 4 years ago
Comments:9 (9 by maintainers)

Top GitHub Comments

1reaction

rpgoldmancommented, Jun 13, 2019

Should we use significant digits instead of rounding?

1reaction

OriolAbrilcommented, May 22, 2019

Should we add some rules there? Like if values are less than x use scientific notation?

What about allowing a custom format string? We could change the hpd[0].round(round_to) to format_str.format(hpd[0]) if format_string is present, otherwise, the round_to argument would be used. It could also allow the option of using a list instead of a string to use different format for every plot.

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