[Matplotlib-users] Closing figures in nbagg mode

[Phyks]

Hi,

Sorry, I missed the infos about matplotlib version. I use the up-to-date
version (1.5.1). And indeed, it is not a cross, but a "shutdown" button,
got confused by the old version I saw on another computer.

Thanks for the infos about the state of the issue, closing the figures
in the notebook should then be fine!

Le 02/03/2016 15:12, Jens Nielsen a écrit :
> Hi Phyks
> 
> You don't supply any information about which version of matplotlib you are
> using (since you are talking about a cross in the upper right i guess you
> are using 1.4.x as we changed that icon in 1.5) so this is a bit of a guess
> work.
> 
> #4281 is a closed issue because this has been fixed and the fix is in
> matplotlib 1.5.0 and 1.5.1. If you are running 1.4.x there is a bug that
> prevents figures from being closed correctly when the cell is being rerun
> and the number of figures rapidly exceeds 20 if you rerun the same cells
> multiple times. In 1.5.x and forwards a figure will be correctly. If you
> are using the notebook backend with matplotlib 1.4.x I strongly urge you to
> upgrade.
> 
> If you really have a notebook with more than 20 individual figures you are
> likely to suffer from degraded performance and should perhaps consider if
> splitting the notebook into multiple makes sense.
> 
> best
> Jens
> 
> On Tue, 1 Mar 2016 at 16:59 Phyks <spam+matplotlib at phyks.me> wrote:
> 
>> Hi,
>>
>> I have a jupyter notebook (using "%matplotlib notebook") which is
>> drawing a lot of figures using matplotlib. When I run all the cells, I
>> have more than 20 figures and then get the following warning:
>>
>>
>> /home/phyks/.local/share/virtualenvs/physique/lib/python3.5/site-packages/matplotlib/pyplot.py:516:
>> RuntimeWarning: More than 20 figures have been opened. Figures created
>> through the pyplot interface (`matplotlib.pyplot.figure`) are retained
>> until explicitly closed and may consume too much memory. (To control
>> this warning, see the rcParam `figure.max_open_warning`).
>>   max_open_warning, RuntimeWarning)
>>
>>
>> I was wondering what is the correct workflow for handling it. I mean,
>> should I close the figures regularly, or can I just leave them open (at
>> the expense of memory and CPU usage)?
>>
>> Moreover, I am not sure to fully understand how to close them.
>> https://github.com/matplotlib/matplotlib/issues/4281 tends to make me
>> think it is not enough to just click the top right X to close them,
>> contrary to what I would have thought.
>>
>> Thanks!
>> --
>> Phyks
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>