You made my day!
Long life to The "close()"
All my ram and swap file was sucked every time a run my script to generate
260 png images...almost killing my ubuntu!
On Tue, May 26, 2009 at 2:23 PM, John Hunter <jdh2...@gmail.com> wrote:
> On Tue, May 26, 2009 at 7:39 AM, Michael Droettboom <md...@stsci.edu>
> wrote:
> > Does it help if you add a call to "plt.clf()" to the bottom of the loop?
> >
> > The pyplot interface keeps a reference around to every figure created
> > until they are destroyed so that it can be obtained again by number
> > (this is functionality inspired by matlab). Alternatively, you can use
> > the object-oriented interface to create the figure, which does not have
> > this behavior, e.g., replace
> >
> > fig = plt.figure()
> >
> > with
> >
> > from matplotlib import figure
> > fig = figure.Figure()
> >
> > If all this doesn't help, let me know and I'll look further.
> >
> > Cheers,
> > Mike
> >
> > iCy-fLaME wrote:
> >> I was trying to use matplotlib to plot a series of 2D images, but
> >> python was using up a large amount of RAM very quickly. I don't know
> >> matplotlib that well, so the chance are I am missing something, would
> >> appreciate it if anyone can point me to the right direction.
> >>
> >> I am using:
> >> Python 2.4.3 (#1, Jan 21 2009, 01:11:33)
> >> [GCC 4.1.2 20071124 (Red Hat 4.1.2-42)] on linux2
> >>
> >> Example code to run in interpreter mode:
> >>
> >> ########################################
> >> from numpy import zeros
> >>
> >> x = 1651
> >> y = 452
> >> page = zeros((x, y)).astype('float')
> >>
> >> import matplotlib
> >> matplotlib.use('Agg')
> >> import matplotlib.pyplot as plt
> >>
> >> for i in range(1000):
> >> fig = plt.figure()
> >> ax = fig.add_subplot(111)
> >> cax = ax.imshow(page, cmap=plt.cm.spectral_r, extent=(-44, 176,
> -30,
> >> 30), interpolation = 'bicubic', vmin = -0.003, vmax = 0.003)
> >> title = "Time = %(i)0.3es)" % {'i':i}
> >> ax.set_title(title,fontsize=14)
> >>
> >> fig.colorbar(cax, ticks=[-2e-3, -1e-3, 0, 1e-3, 2e-3],
> >> orientation='horizontal')
> >>
> >> fig.savefig('_tmp.' + str(i) + ".png", dpi=300)
>
>
> This code creates 1000 different figures -- either reuse the same
> figure and clear it as Michael suggests
>
> fig = plt.figure(1) # by putting 1 here you reuse the same fig
> fig.clf() # and clear it
>
> or close the figure in the loop
>
> fig = plt.figure()
> # draw and save here
> plt.close(fig)
>
> JDH
>
>
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