Re: [Matplotlib-users] Matplotlib plotting performance

[Tom D. <tom...@al...>]

Oops that was the TKAgg profile results.  These are the WxAgg results
attached.  Sorry about that.

On 7/5/07, Tom Denniston <tom...@al...> wrote:
> I've been trying to profile and speed up an app that uses matplotlib.
> I tried to write an example using simple pylab commands to reproduce
> the slowness.  What I found was I could get a huge speedup just
> avoiding unnecessary redraws.  I'm down now to passable behavior.
> Plotting 6 series in two windows takes about one and a quarter
> seconds.  I would like to improve this further, however, if it is
> possible which is why I am posting.
>
> The results with show() in between plots are:
>
> In [5]: run u:/tdennist/test2.py
> 10.128132637
>
> In [6]: run u:/tdennist/test2.py
> 10.3122053602
>
> And without the superfluous draws:
>
>
> In [7]: run u:/tdennist/test2.py
> 1.83904865901
>
> In [8]: run u:/tdennist/test2.py
> 1.86751011294
>
> In [9]: run u:/tdennist/test2.py
> 1.84959890227
>
>
> Where 1.85 seconds is the time to do 2 iteractions of drawing 2 plots
> with 3 lines each.  So about 0.9 to 1.0 sec to draw the plots once.
>
> Is there anything obvious I can do to speed this up?  I looked a
> profile results of this and found most of the time is spent in "draw"
> functions.  I attached the profile results in kcachegrind format for
> the faster method.
>
> Under the animation section there is a suggestion that things are
> faster if you pre allocate the line and then just update it's x or y
> data.  Given the profile results, however, I don't think this would
> help much and it would be kinda inconvenient for my app because I
> don't know how many series I am gonna plot up front.
>
> Also at the very bottom is the contents of my rc params.  I am using
> WxAgg on windows with matplotlib 0.90.1 and python 2.5.
>
>
>
> Code
> -------
>
>
> import timeit
>
> setup='''
> import matplotlib
> matplotlib.use('WXAgg')
> from matplotlib.widgets import Cursor
> import pylab, numpy
> pylab.clf()
> #pylab.show()
> '''
> code='''
> fig = pylab.gcf()
> p1 = fig.add_axes([0.075, 0.05, 0.8, .4], axisbg='#333333')
> cursor = Cursor(p1, useblit=True, color='green', linewidth=2.5 )
> p2 = fig.add_axes([0.075, 0.55, 0.8, .4], axisbg='#333333')
> def test(n):
>    for i in range(3):
>        p1.plot(numpy.random.rand(n))
>        #pylab.show()
>
>    for i in range(3):
>        p2.plot(numpy.random.rand(n))
>        #pylab.show()
>
>
> test(1000)
> pylab.show()
> '''
>
> print timeit.Timer(code, setup=setup).timeit(2)
>
>
>
> rc Params
> ----------------
>
> figure.subplot.right 0.9
> mathtext.cal cmsy10.ttf
> font.fantasy fantasy
> xtick.minor.pad 3
> tk.pythoninspect False
> legend.labelsep 0.005
> image.aspect equal
> font.cursive cursive
> figure.subplot.hspace 0.2
> xtick.direction in
> axes.facecolor w
> ytick.direction in
> legend.pad 0.2
> axes.axisbelow False
> lines.markersize 6
> figure.dpi 80
> text.usetex False
> text.fontangle normal
> patch.edgecolor k
> ps.useafm False
> lines.solid_joinstyle miter
> font.monospace monospace
> xtick.minor.size 2
> figure.subplot.wspace 0.2
> savefig.edgecolor w
> text.fontvariant normal
> image.cmap jet
> axes.edgecolor k
> tk.window_focus False
> text.fontsize medium
> font.serif serif
> savefig.facecolor w
> ytick.minor.size 2
> mathtext.mathtext2 False
> numerix numpy
> font.stretch normal
> text.dvipnghack False
> ytick.color k
> lines.linestyle -
> xtick.color k
> xtick.major.pad 3
> text.fontweight normal
> patch.facecolor b
> figure.figsize (8, 6)
> axes.linewidth 1.0
> lines.linewidth 0.5
> savefig.dpi 150
> verbose.fileo sys.stdout
> svg.image_noscale False
> font.size 12.0
> lines.antialiased True
> polaraxes.grid True
> toolbar toolbar2
> pdf.compression 6
> grid.linewidth 0.5
> figure.facecolor 0.75
> ps.usedistiller False
> legend.isaxes True
> figure.edgecolor w
> mathtext.tt cmtt10.ttf
> contour.negative_linestyle (6.0, 6.0)
> image.interpolation bilinear
> lines.markeredgewidth 0.5
> legend.axespad 0.02
> lines.marker None
> lines.solid_capstyle projecting
> axes.titlesize large
> backend TkAgg
> xtick.major.size 5
> legend.fontsize small
> legend.shadow False
> mathtext.it cmmi10.ttf
> font.variant normal
> xtick.labelsize small
> legend.handletextsep 0.02
> ps.distiller.res 6000
> patch.linewidth 0.5
> lines.dash_capstyle butt
> lines.color b
> figure.subplot.top 0.9
> legend.markerscale 0.6
> patch.antialiased True
> font.style normal
> grid.linestyle :
> axes.labelcolor k
> text.color k
> mathtext.rm cmr10.ttf
> interactive True
> savefig.orientation portait
> svg.image_inline True
> ytick.major.size 5
> axes.grid False
> plugins.directory .matplotlib_plugins
> grid.color k
> timezone UTC
> ytick.major.pad 3
> legend.handlelen 0.05
> lines.dash_joinstyle miter
> datapath c:\local\python25\lib\site-packages\matplotlib-0.87.7-py2.5-win32.egg\matplotlib\mpl-data
> image.lut 256
> figure.subplot.bottom 0.1
> legend.numpoints 4
> font.sans-serif sans-serif
> font.family serif
> axes.labelsize medium
> ytick.minor.pad 3
> axes.hold True
> verbose.level silent
> mathtext.nonascii cmex10.ttf
> figure.subplot.left 0.125
> text.fontstyle normal
> font.weight normal
> mathtext.mit cmmi10.ttf
> ytick.labelsize small
> ps.papersize letter
> ima
> ge.origin upper
>
>