mbauer wrote: > Matplotlib users, I looking to tap your wealth of ideas and experience > to help solve a problem I'm working on. > > The problem: I have a series of 2d scalar arrays representing a fixed > width/height lon/lat box centered on an arbitrary lon/lat. I need to > average these composites on a common basis that accommodates the scale > changes due to latitude, preferably by shifting everything to a common > central lon/lat (a polar/radial distance basis would work too). I want > a plot of the end result too and I'm like to do everything with > matplotlib and python so that it folds into the rest of my program. > > Something similar can be seen at > http://www.atmos.washington.edu/~robwood/topic_cyclones.htm > > I've been looking at transform_scalar from basemap but I'm not quite > sure this is what I should use. > Mike:
transform_scalar does simple bilinear interpolation from a lat/lon grid to a regular grid in map projection coordinates. If your map projection is just a lat/lon projection, then this amounts to interpolating from one lat/lon grid to another. > If anyone can offer a solution, a point in the right direction, or > just wave me off this path I'd be most appreciative. > I'm sure numpy/matplotlib can do what you need to do. Matplotlib can certainly make a plot similar to the one given in your link. I think you question relates more to the processing of your arrays though, and not specifically the plotting. Are all your 2d arrays the same shape (the same number of lats and lons)? Are they just centered on different regions? If so, I think you can just multiply each grid point by the cosine of latitude to get the proper area weighting before summing them together. But perhaps I'm missing the essence of your question .... -Jeff -- Jeffrey S. Whitaker Phone : (303)497-6313 Meteorologist FAX : (303)497-6449 NOAA/OAR/PSD R/PSD1 Email : [EMAIL PROTECTED] 325 Broadway Office : Skaggs Research Cntr 1D-124 Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg ------------------------------------------------------------------------- SF.Net email is sponsored by: Check out the new SourceForge.net Marketplace. It's the best place to buy or sell services for just about anything Open Source. http://sourceforge.net/services/buy/index.php _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
