Jeff,
On Mon, Sep 8, 2008 at 6:48 PM, Jeff Whitaker <[EMAIL PROTECTED]> wrote:
> Note that to plot the data with pcolor/pcolormesh of contourf, you don't
> need to interpolate to a native projection grid. You can just do
>
> lons, lats = np.meshgrid(lons,lats)
> x,y = m(lons,lats)
> im = m.pcolormesh(x,y,datain)
OK, I've gone down the pcolormesh route. Results is very nice. However, if I
try to save my file as an EPS or PDF, it takes a long time, and the
resulting PDF is 12Mb (!). The equivalent EPS is of the order of 500MB
(!!!!), and the PNG is around 100kb (!!!!!). I have a really hard time
rendering either the EPS or the PDF, and I guess that using pcolormesh
somehow sticks all the pixels into the resulting "page". My image size is
around 1000x2500 pixels, and I'm not particularly bothered if it is smoothed
for "presentation purposes" (in fact, I think I can see some aliasing, but
don't have the plot in front of me right now).
I don't recall this problem when using imshow (no basemap involved). Is this
a pcolormesh "feature" (or converseley, an imshow feature?). Is there some I
can make my plots be as reasonable as other MPL plots that are mostly
vectors rather than rasters?
Cheers,
J
--
Centre for Terrestrial Carbon Dynamics
Department of Geography, University College London
Gower Street, London WC1E 6BT, UK
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