Indeed, saving figures in the manner of Matlab would be a great feature
enhancement for Matplotlib.
Keep Hacking ! :)
Cheers
François
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ht
File "/usr/lib/pymodules/python2.7/matplotlib/pyplot.py", line 95, in
new_figure_manager, draw_if_interactive, show = pylab_setup()
File "/usr/lib/pymodules/python2.7/matplotlib/backends/__init__.py",
line 25, in pylab_setup
globals(),locals(),[backend_n
Andrea Gavana a écrit :
Only the second approach slightly resembles what I have in mind.
Navigating the plot using shortcuts and the MPL toolbars is less than
1% of what you can do to customize a MPL plot. Asking a user who knows
nothing about Python (or programming in general) to use the IPython
On Thursday 23 October 2008 15:51:53 Robin wrote:
> Hi,
>
> I don't think this is possible - but I wanted to check in case I'm
> missing something.
>
> Is there a way of changing the appearance of the plot interactively?
> I'm thinking of things like dragging the position of a legend, right
> click
ecify only major or minor ticks marks ?
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François BEAUBERT
ENSIAME/LME
Bureau A9
Université de Valenciennes - Le Mont Houy - 59313 Valenciennes Cedex 9
Téléphone: (0/33)3 27 51 19 72
Télécopie: (0/33)3 27 51 19 61
Mel: [EMAIL PROTECTED]
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pour d
x.plot(t, s)
ax.grid(True)
ticklines = ax.get_xticklines()
ticklines.extend( ax.get_yticklines() )
for line in ticklines:
line.set_linewidth(4)
show()
any ideas ? I use matplotlib-0.87.5 and Python 2.4.3
Is there a way to do this in matplotlibrc like for tick length ?
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François BEAUB
Hi all,
I have look in the doc and examples but was unable to find a way to control
the thickness of the major and minor tick on the axis.
Forgive me for this very basic question but if you now a way to do that...
Thanks a lot
Francois
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François BEAUBERT
ENSIAME/LME
Bureau A9
Université de
