HI,

My initial thought was that you need to use the "zorder" keyword
argument and set the zorder to a large value.  However, the more I
thought about it, I'm not really sure how you are plotting the
satellite data.  Can you provide a code snippet?

PTM
---
Patrick Marsh
Ph.D. Student / Liaison to the HWT
School of Meteorology / University of Oklahoma
Cooperative Institute for Mesoscale Meteorological Studies
National Severe Storms Laboratory
http://www.patricktmarsh.com



On Fri, Dec 9, 2011 at 6:58 AM, Laat de, Jos (KNMI) <jos.de.l...@knmi.nl> wrote:
> I am working with (geostationary) satellite data, and one of the things I
> want to do is plot a map (coastlines) on top of the satellite image. As an
> IDL user I know how to do this in IDL (although in IDL it is a bit of a
> hassle), but I don’t seem to be able to figure out how this could be done in
> python.
>
>
>
> The satellite data consists of a rectangular field of N by N pixels. The
> data is already converted to bitmap RGB values. I have figured out how this
> can be written to a bitmap image like PNG or JPG.
>
>
>
> I further figured out how to do the satellite projection in Basemap, and how
> to plot Basemap coastlines. However, the Basemap appears to have a
> non-transparent background, which overplots all bitmap data if I plot the
> Bitmap data first. I had hoped that there would be some transparency setting
> in Basemap, but alas.
>
>
>
> (ps. Keep in mind that I do not want to use some contour filling routine for
> plotting the satellite data. I want to retain the original N x N pixels and
> image size)
>
>
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