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Hi Jouni,


Jouni K. Seppänen wrote:
> 
> jan_strube <cur...@gm...> writes:
> 
> Do you mean that saving as pdf from the qt4agg backend causes the same
> error, or is there a different error raised from that particular
> backend? When you save as pdf, you (usually) invoke the pdf backend, no
> matter what interactive backend you use.
> 
Yes, same error.



> Thank you for the report and the example! I think I have fixed this for
> the svg and pdf backends, but the PostScript backend still needs work.
> 
The pdf example seems to somewhat work, both on mac os x and on linux. The
hatch lines are really faint, but I can probably play with the matplotlibrc
settings to fix that.
The svg works on linux, but not quite on mac osx.
Safari complains:

This page contains the following errors:

error on line 354 at column 2372: Extra content at the end of the document
Below is a rendering of the page up to the first error.

Thanks for the fix.
Cheers,
    Jan

-- 
Jouni K. Seppänen
http://www.iki.fi/jks



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Below is what I am trying to do, perhaps I am doing something wrong
somewhere?


John Hunter-4 wrote:
> 
> 
> or explicitly reuse the same fig by giving a figure number and clearing
> it:
> 
> for i in range(1000):
>     fig = plt.figure(1)
>     # plot something
>     fig.cla()
> 
> JDH
> 

My Program is below. NOTE: The kwargs bit is before I realized how much
easier it is just to assign defaults in the definition... (haven't changed
it yet). 

The main thing I am using is FIGURE, which is a list containing the figure,
basemap instance, and the axes. I 'pass' these around trying to reuse them
as you show above.

In the main loop of the program I pass the FIGURE list to three calls to
plot_track. I try to reuse all the instances (I found creating the basemap
instance to be very slow). At the end of each loop in the mainloop I call:

FIGURE[2].cla()  

Which I understand to clear the axes. Maybe I should also be calling:

FIGURE[0].cla()

??

Thank you in advance!

def plot_track(lon,lat,**kwargs):
   """ Plot an longitude,latitude course over a basemap """
   if 'region' in kwargs.keys():
      region = kwargs['region']
   else:
      region = 1
   if 'figname' in kwargs.keys():
      figname = kwargs['figname']
   else:
      figname = None
   if 'FIGURE' in kwargs.keys():
      FIGURE = kwargs['FIGURE']
   else:
      FIGURE = [None,None,None]
   if 'overlay' in kwargs.keys():
      overlay = kwargs['overlay']
   else:
      overlay = 0
   if 'zlevel' in kwargs.keys():
      zlevel = kwargs['zlevel']
   else:
      zlevel = None
   if 'zsize' in kwargs.keys():
      zsize = kwargs['zsize']
   else:
      zsize = np.ones(len(lon))
   if 'base' in kwargs.keys():
      base = kwargs['base']
   else:
      base = 1
   
   ## Extract plotting kwargs, just makes a dict I can pass to basemap plot
command
   plot_kwargs = set_plotkwargs(kwargs)
   
   ##Get fig if exists
   fig=FIGURE[0]
   m=FIGURE[1]
   az=FIGURE[2]
   nullfmt   = NullFormatter()
   if fig==None:
      # get a basemap from Basemap passing the region info.      
      exec("fig,m=get_base%s(region=region,coords=(lon,lat))"%base)
   if az==None: 
      ax=plt.gca()
      pos = ax.get_position()
      l, b, w, h = getattr(pos, 'bounds', pos)
      az = fig.add_axes([l,b,w,h],frameon=False)
   if az!=None and overlay==0:
      az.cla()
   plt.axes(az)

   #PRINT TRACK
   cx,cy = m(lon,lat)
   if zlevel!=None:     
     
c=m.scatter(cx,cy,zsize,zlevel,cmap=cm.spectral,marker=marker,faceted=False,zorder=10,alpha=0.35)        
      #m.scatter has no color bar, so create a ghost 'scatter' instance:
      ax=plt.gca()
      plt.draw()
      pos = ax.get_position()
      l, b, w, h = getattr(pos, 'bounds', pos)
      jnkax = fig.add_axes([l,b,w,h],frameon=False)
      axes(jnkax)
      plt.figure();  
     
plt.scatter(cx,cy,zsize,zlevel,cmap=cm.spectral,marker=marker,faceted=False,zorder=10,alpha=0.75)
      plt.figure(fig.number);
      cax = plt.axes([l+w+0.03, b, 0.02, h])      
      plt.colorbar(cax=cax) # draw colorbar
      #delete the ghost instance
      plt.close(2); 
      #make the ax axes active
      plt.axes(ax);
   else:
      m.plot(cx,cy,**plot_kwargs)
   plt.axes(az)
   az.xaxis.set_major_formatter( nullfmt )
   az.yaxis.set_major_formatter( nullfmt )
   plt.setp(az, xticks=[],yticks=[])
   az.axesPatch.set_alpha(0.0)
   if figname:
      savefig(figname)
   FIGURE=[fig,m,az]   
   return FIGURE


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jan_strube <cur...@gm...> writes:

>   File
> "/home/jstrube/local//lib64/python2.6/site-packages/matplotlib/backends/backend_pdf.py",
> line 1723, in _fillp
>     (len(self._fillcolor) <= 3 or self._fillcolor[3] != 0.0))
> TypeError: object of type 'NoneType' has no len()

Yes, that looks like a bug. It seems that the hatch support doesn't get
a lot of use, so you have run into an edge case that no-one has
encountered before.

> This is the case not only for the pdf backend, but for the qt4agg backend as
> well.

Do you mean that saving as pdf from the qt4agg backend causes the same
error, or is there a different error raised from that particular
backend? When you save as pdf, you (usually) invoke the pdf backend, no
matter what interactive backend you use.

> Yes, the example works just fine. I am attaching a self-contained example to
> reproduce the problem.

Thank you for the report and the example! I think I have fixed this for
the svg and pdf backends, but the PostScript backend still needs work.

-- 
Jouni K. Seppänen
http://www.iki.fi/jks

On Fri, Jul 17, 2009 at 7:02 PM, John [H2O]<was...@gm...> wrote:
>
> I have a script looping through and plotting 100's of figures. It runs fine,
> but after the first few plots, the loop considerably slows down and the
> memory usage keeps going up.
>
> The script is quite complicated, so can't really paste it here, but I am
> trying to pass figure instances around and I am trying to reuse the
> axes/figures... but maybe someone could demonstrate how this is done
> efficiently?

You either need to close the figure in the loop, or reuse the same
figure and cla it, eg

for i in range(1000):
    fig = plt.figure()
    # plot something
    plt.close(fig)


or explicitly reuse the same fig by giving a figure number and clearing it:

for i in range(1000):
    fig = plt.figure(1)
    # plot something
    fig.cla()

JDH

I have a script looping through and plotting 100's of figures. It runs fine,
but after the first few plots, the loop considerably slows down and the
memory usage keeps going up. 

The script is quite complicated, so can't really paste it here, but I am
trying to pass figure instances around and I am trying to reuse the
axes/figures... but maybe someone could demonstrate how this is done
efficiently?

What do I need to do so that each successive plot is using the same instance
of axes rather than adding a new one... this is all I can imagine is
happening.

Thanks,
john
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