Hello Jeff, > >> - Points stored in the above descripbed format (lat, lon, value)? This one I solved using a m.scatter() function
> >> - Interpolate a grid of data points by using different interpolation >>> methods like inverse distance wheighting, natural neighbor interpolation, etc. to get a contour map? > > For interpolation of irregular, randomly distributed data points see > > http://www.scipy.org/Cookbook/Matplotlib/ Gridding_irregularly_spaced_data. > > > > However, if there is some structure to the data grid then it's probably > > better not to use these approaches. The problem is that although regular spaced the grid is still to large to countour to a nice map. I will play a bit more with contour and other interpolation functions. I tried griddata: > 2) using the griddata package > Here I was nearly without orientation how to call griddata correctly. I tried again. Here is what I got: x = data[:,1] y = data[:,0] z = data[:,2] X, Y = mlab.meshgrid(x, y) X, Z = mlab.meshgrid(x, y) # zi = griddata(x,y,z,xi,yi,**kwargs) Z = grid.griddata(x,y,z, X, Y) plt.contour(X,Y, Z) => ValueError: output grid defined by xi,yi must be monotone increasing The coordinates are stored in a way that first longitude (x) increases and then the latitude (y) increases. 10 6.0 4 10 6.25 3 10 6.50 2 10 6.75 1 10 6.0 6 11 6.25 7 11 6.50 6 11 6.75 9 12 6.0 4 What how do I need to arrange my data to get it monotone increasing for griddata? Thanks for your help. One settled I will send you another example for the examples package. Kind regards, Timmie ------------------------------------------------------------------------- Sponsored by: SourceForge.net Community Choice Awards: VOTE NOW! Studies have shown that voting for your favorite open source project, along with a healthy diet, reduces your potential for chronic lameness and boredom. Vote Now at http://www.sourceforge.net/community/cca08 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
