Reaching matplotlib limit?

[drvinceknight]

Looks like not all images got drawn (this is after adding the sequence strategies).

Just dumping this here (need to get to class):

Starting basic_strategies tournament with 100 round robins of 200 turns per pair.
Finished all basic_strategies tasks in 8.6s
Starting strategies tournament with 100 round robins of 200 turns per pair.
Finished all strategies tasks in 5797.4s
Starting all_strategies tournament with 100 round robins of 200 turns per pair.
Finished all all_strategies tasks in 6377.6s
Finished all tournaments in 12183.6s
-- Running Axelrod, regenerating cache, results, and figures
Starting basic_strategies tournament with 100 round robins of 200 turns per pair.
Finished all basic_strategies tasks in 7.9s
Starting strategies tournament with 100 round robins of 200 turns per pair.
Finished all strategies tasks in 3421.3s
Starting all_strategies tournament with 100 round robins of 200 turns per pair.
Traceback (most recent call last):
  File "./run_axelrod", line 116, in <module>
    run_tournaments(**kwargs)
  File "/home/vince/Axelrod/axelrod/utils.py", line 71, in run_tournaments
    manager.run_tournaments()
  File "/home/vince/Axelrod/axelrod/tournament_manager.py", line 53, in run_tournaments
    self._run_single_tournament(tournament)
  File "/home/vince/Axelrod/axelrod/tournament_manager.py", line 84, in _run_single_tournament
    self._generate_output_files(tournament, ecosystem)
  File "/home/vince/Axelrod/axelrod/tournament_manager.py", line 115, in _generate_output_files
    image_format=self._image_format)
  File "/home/vince/Axelrod/axelrod/tournament_manager.py", line 135, in _save_plots
    self._save_plot(figure, file_name)
  File "/home/vince/Axelrod/axelrod/tournament_manager.py", line 149, in _save_plot
    figure.savefig(file_name, bbox_inches='tight', dpi=dpi)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/figure.py", line 1539, in savefig
    self.canvas.print_figure(*args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/backends/backend_qt5agg.py", line 197, in print_figure
    self.draw()
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/backends/backend_qt5agg.py", line 158, in draw
    FigureCanvasAgg.draw(self)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/backends/backend_agg.py", line 474, in draw
    self.figure.draw(self.renderer)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/artist.py", line 61, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/figure.py", line 1133, in draw
    func(*args)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/artist.py", line 61, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/axes/_base.py", line 2304, in draw
    a.draw(renderer)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/artist.py", line 61, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/collections.py", line 815, in draw
    Collection.draw(self, renderer)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/artist.py", line 61, in draw_wrapper
    draw(artist, renderer, *args, **kwargs)
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/collections.py", line 316, in draw
    mpath.Path(offsets), transOffset, tuple(facecolors[0]))
  File "/usr/local/lib/python2.7/dist-packages/matplotlib/backends/backend_agg.py", line 123, in draw_markers
    return self._renderer.draw_markers(*kl, **kw)
OverflowError: In draw_markers: Exceeded cell block limit

On:

• Ubuntu 14.04
• Python 3.4.3
• Matplotlib 1.5.0

[marcharper]

I'll try on my machine.

[marcharper]

Works ok for me (matplotlib 1.4.2 on ubuntu)

user@tower:~/repos/axelrod/tournament$ sh update_results.sh 0 100
-- Regenerating noisy tournament figures
Starting basic_strategies tournament with 100 round robins of 200 turns per pair.
Finished all basic_strategies tasks in 6.8s
Starting strategies tournament with 100 round robins of 200 turns per pair.
Finished all strategies tasks in 1930.5s
Starting all_strategies tournament with 100 round robins of 200 turns per pair.
Finished all all_strategies tasks in 3993.8s
Finished all tournaments in 5931.1s
-- Running Axelrod, regenerating cache, results, and figures
Starting basic_strategies tournament with 100 round robins of 200 turns per pair.
/usr/lib/python2.7/dist-packages/matplotlib/collections.py:571: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  if self._edgecolors == str('face'):
Finished all basic_strategies tasks in 4.4s
Starting strategies tournament with 100 round robins of 200 turns per pair.
Finished all strategies tasks in 1370.4s
Starting all_strategies tournament with 100 round robins of 200 turns per pair.
Finished all all_strategies tasks in 542.8s
Finished all tournaments in 1917.8s
Be sure to git commit changes to update the docs!

How much RAM do you have?

[drvinceknight]

16gb. Surely that's enough?

Not worth worrying about it too much unless it happens again. Close the
issue?

On Thu, 25 Feb 2016, 19:08 Marc Harper notifications@github.com wrote:

Works ok for me (matplotlib 1.4.2 on ubuntu)

user@tower:~/repos/axelrod/tournament$ sh update_results.sh 0 100
-- Regenerating noisy tournament figures
Starting basic_strategies tournament with 100 round robins of 200 turns per pair.
Finished all basic_strategies tasks in 6.8s
Starting strategies tournament with 100 round robins of 200 turns per pair.
Finished all strategies tasks in 1930.5s
Starting all_strategies tournament with 100 round robins of 200 turns per pair.
Finished all all_strategies tasks in 3993.8s
Finished all tournaments in 5931.1s
-- Running Axelrod, regenerating cache, results, and figures
Starting basic_strategies tournament with 100 round robins of 200 turns per pair.
/usr/lib/python2.7/dist-packages/matplotlib/collections.py:571: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
if self._edgecolors == str('face'):
Finished all basic_strategies tasks in 4.4s
Starting strategies tournament with 100 round robins of 200 turns per pair.
Finished all strategies tasks in 1370.4s
Starting all_strategies tournament with 100 round robins of 200 turns per pair.
Finished all all_strategies tasks in 542.8s
Finished all tournaments in 1917.8s
Be sure to git commit changes to update the docs!

How much RAM do you have?

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#24 (comment)
.

[marcharper]

That's the same that I have. Unless you can reproduce it, I vote to close.

[drvinceknight]

If it happens again I'll open it up again :)

On Thu, 25 Feb 2016, 19:23 Marc Harper notifications@github.com wrote:

That's the same that I have. Unless you can reproduce it, I vote to close.

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#24 (comment)
.

[audiofeature]

I had the same problem with Matplatlib 1.4.2. Updating to 1.5.0 helped. Well, i don't get the error anymore, but still no images plotted...
See this issue: matplotlib/matplotlib#5209

[drvinceknight]

I found that the problem for me was actually my graphics card not being able to display the images. Are you getting image files at all? Can you try a different image format perhaps @audiofeature? The default is svg, but perhaps png?

[audiofeature]

I figured that something was wrong with my matplotlib installation and dependencies. On Ubuntu 15.10, i removed matplotlib with pip and reinstalled from the package manager (sudo apt-get install python-matplotlib). This solved my problem and now the figures are being shown again!
However, I get above error message again,

/usr/lib/python2.7/dist-packages/matplotlib/collections.py:571: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
  if self._edgecolors == str('face'):

yet without noticable problem.
In conclusion: the "no figure drawn" problem is a problem of matplotlib installed via pip instead of apt.
the "FutureWarning" seems unrelated to that. (and is rather due to a newer version of numpy)

[audiofeature]

(Note that i can both visualize plots now and save them to png)

[drvinceknight]

I'm glad you've managed to get things working. I'll look in to that error message!