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Hi,
To improve plotting speed, I decided
to use blitting(canvas.copy_from_bbox(), canvas.restore_region() &
canvas.blit()) instead of canvas.draw(), however panning & zooming stops
working after this change. Now, when I click on the 'Pan/Zoom' button or
the 'Zoom to rectangle' button on the Navigation Toolbar, my plot becomes
empty. I don't know what's going wrong, can someone please point me in the
right direction?
Thank you,
Clare.

Hi,
for reading the data files you could user np.loadtxt("filename").
I'm not sure what kind of plot you want to create from this data, but
probably you can find an appropriate plotting method on this page:
http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html
Max
PS: Sorry for not sending my first mail to the list, but you can see it
below
Am 11/04/2013 04:54, schrieb Sayan Chatterjee:
> Thanks Maximillian for your help.
> 
> Could you please tell me how to surface plot with those data files using
> Matplotlib?...i.e both reading the data files and then surface plotting
> in matplotlib?
> 
> Sayan
> 
> 
> On 11 April 2013 02:25, Maximilian Trescher <fa...@tr...
> <mailto:fa...@tr...>> wrote:
> 
> Hi,
> >
> > *np.savetxt(fname, np.array([pp_za,pv_za]).T, '%f')*
> 
> does maybe
> 
> np.savetxt(fname, np.array([pp_za,pv_za, np.ones(1000)*t]).T, '%f')
> does what you want? (replace 1000 with approppriate length)
> 
> and a comment about:
> > if pp_za[i] < 0:
> > pp_za[i] = 2 - abs(pp_za[i])
> > if pp_za[i] > 2:
> > pp_za[i] = pp_za[i] % 2
> 
> in general
> 
> pp_za[pp_za < 0] = 2 - abs(pp_za[pp_za < 0])
> pp_za[pp_za > 2] = pp_za[pp_za > 2] % 2
> 
> is shorter and much faster.
> 
> Max
> 
> 
> 
> 
> 
> 
> -- 
> 
> 
> --------------------------------------------------------------------------
> *Sayan Chatterjee*
> Dept. of Physics and Meteorology
> IIT Kharagpur
> Lal Bahadur Shastry Hall of Residence
> Room AB 205
> Mob: +91 9874513565
> blog: www.blissprofound.blogspot.com <http://www.blissprofound.blogspot.com>
> 
> Volunteer , Padakshep
> www.padakshep.org <http://www.padakshep.org>

Thanks Maximillian for your help.
Could you please tell me how to surface plot with those data files using
Matplotlib?...i.e both reading the data files and then surface plotting in
matplotlib?
Sayan
On 11 April 2013 02:25, Maximilian Trescher <fa...@tr...> wrote:
> Hi,
> >
> > *np.savetxt(fname, np.array([pp_za,pv_za]).T, '%f')*
>
> does maybe
>
> np.savetxt(fname, np.array([pp_za,pv_za, np.ones(1000)*t]).T, '%f')
> does what you want? (replace 1000 with approppriate length)
>
> and a comment about:
> > if pp_za[i] < 0:
> > pp_za[i] = 2 - abs(pp_za[i])
> > if pp_za[i] > 2:
> > pp_za[i] = pp_za[i] % 2
>
> in general
>
> pp_za[pp_za < 0] = 2 - abs(pp_za[pp_za < 0])
> pp_za[pp_za > 2] = pp_za[pp_za > 2] % 2
>
> is shorter and much faster.
>
> Max
>
>
>
>
-- 
--------------------------------------------------------------------------
*Sayan Chatterjee*
Dept. of Physics and Meteorology
IIT Kharagpur
Lal Bahadur Shastry Hall of Residence
Room AB 205
Mob: +91 9874513565
blog: www.blissprofound.blogspot.com
Volunteer , Padakshep
www.padakshep.org