Hello, I have a set of data on a Gaussian grid. I have a latitude array, a longitude array, and a data array: In [121]: vlats.shape Out[121]: (880, 1760) In [122]: vlons.shape Out[122]: (880, 1760) In [123]: vtypes.shape Out[123]: (880, 1760)
The longitude seems to go from -360 to 0.6, the latitude is more regular: In [124]: vlons.min(); vlons.max() Out[124]: -360.0 Out[124]: 0.59499999999880615 In [125]: vlats.min(); vlats.max() Out[125]: -89.843513517868473 Out[125]: 89.843513517868473 I thought (and it was also suggested) I could use 'interp' from the mpl_toolkits.basemap package, but I'm not sure how to do this. Does anyone have experience with this? An alternative suggestion was to use the scipy interp capabilities; again, I'm not certain I know how to go about this. Thanks, john ------------------------------------------------------------------------------ Nokia and AT&T present the 2010 Calling All Innovators-North America contest Create new apps & games for the Nokia N8 for consumers in U.S. and Canada $10 million total in prizes - $4M cash, 500 devices, nearly $6M in marketing Develop with Nokia Qt SDK, Web Runtime, or Java and Publish to Ovi Store http://p.sf.net/sfu/nokia-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
