On 9/9/2011 6:42 AM, Scott Sinclair wrote:
> On 8 September 2011 19:20, Matt Funk wrote:
>> Hi,
>> sorry that it has taken me so long to reply. Anyway, i could be wrong, but i
>> don't think that the code:
>> xi = np.linspace(llcrnlon,urcrnlon,1000)
>>
ewidth=0.5,cmap=cmap,alpha=0.5)
> ax.contourf(xi,yi,zi,15,cmap=cmap,zorder=1000,alpha=0.5)
>
> colorscale = cm.ScalarMappable()
> colorscale.set_array(value)
> colorscale.set_cmap(cmap)
>
> colors = colorscale.to_rgba(value)
> ax.scatter(lon,lat,c=
> ax.contourf(xi,yi,zi,15,cmap=cmap,zorder=1000,alpha=0.5)
>
> colorscale = cm.ScalarMappable()
> colorscale.set_array(value)
> colorscale.set_cmap(cmap)
>
> colors = colorscale.to_rgba(value)
> ax.scatter(lon,lat,c=colors,zorder=1000,cmap=cmap,s=10)
Hi,
i want to interpolate irregular spaced satellite data onto a regular
spaced grid. The regular spaced grid should have cell sizes of 1km^2. Is
it possible to use basemap to create such a grid. It looked like it
includes some facilities like that, but i am not sure if they are meant
to be used by
;lines.color': 'b', 'text.latex.preview':
False, 'figure.subplot.top': 0.90002, 'pdf.use14corefonts': False,
'legend.markerscale': 1.0, 'patch.antialiased': True, 'font.style': 'normal',
'backend_fa
Hi,
i am farily new to matplotlib so my question might be fairly basic. I would
like to be able to set certain default values at the beginning of my script.
The way i did this with the other values is via changing the value stored in
rcparams. So something like:
import matplotlib.pyplot as mpl
m
