matplotlib change?

[bill.janssen at gmail.com]

On Thursday, June 22, 2017 at 10:14:21 AM UTC-7, Michael F. Stemper wrote:
> On 2017-06-22 09:50, breamoreboy at gmail.com wrote:
> > On Thursday, June 22, 2017 at 3:33:36 PM UTC+1, Michael F. Stemper wrote:
> >> I have some scripts running as cronjobs that capture the status
> >> of some long-term processes and then periodically plot the data.
> >> The box where they normally run went down yesterday for some
> >> unknown reason, so I ran them manually on another box so that
> >> others on the project could continue to watch progress.
> >>
> >> I was surprised to see that the lines on the plot no longer went
> >> all of the way to its border. Investigating showed me that this
> >> is box-dependent.
> 
> >> Is it likely that the difference in plots due to something that
> >> changed in matplotlib between 2.7.12 and 2.7.13? If so, is there
> >> some argument that I could specify in one of the functions to
> >> prevent this padding/margin/waste? Is there a separate function
> >> to call?
> >>
> >> If the difference isn't due to a change in matplotlib, would it be
> >> something OS-dependent? How can I track it down?
> 
> > Id check to see which matplotlib versions you have rather than the Python version.  Either:-
> 
> Okay, that was easy enough:
> 
> mstemper2 at greenbay$ python
> Python 2.7.12 (default, Nov 19 2016, 06:48:10)
> [GCC 5.4.0 20160609] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>  >>> import matplotlib
>  >>> matplotlib.__version__
> '1.5.1'
>  >>>
> 
> mstemper2 at vv322f$ python
> Python 2.7.13 (default, Jan 19 2017, 14:48:08)
> [GCC 6.3.0 20170118] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>  >>> import matplotlib
>  >>> matplotlib.__version__
> '2.0.0'
>  >>>
> 
> What's my next step?
> 
> -- 
> Michael F. Stemper
> Deuteronomy 24:17

There were a number of changes to line-drawing in the bump from 1 to 2 -- I found that some of them were not listed in the change notes.  It's worth reviewing https://matplotlib.org/users/dflt_style_changes.html#plotting-functions.

Bill