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From: Jeff W. <js...@fa...> - 2011-03-07 15:03:16
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On 3/7/11 7:38 AM, Aman Thakral wrote: > On a similar note, are there any alternatives available to nearest > neighbor? For example, kriging? I remember seeing a geostats library > in python (hpgl i think), but I found the API rather impractical and > difficult to use. > > Thanks, > Aman Aman: The basemap interp function is just a convenience function for simple regridding (linear, cubic and nearest neighbor). scipy.interpolate (http://docs.scipy.org/doc/scipy/reference/interpolate.html) provides many more options. -Jeff > > On Mon, Mar 7, 2011 at 8:23 AM, Jeff Whitaker <js...@fa... > <mailto:js...@fa...>> wrote: > > On 3/7/11 5:50 AM, Jeff Whitaker wrote: > > On 3/6/11 8:58 PM, Juan A. Saenz wrote: > >> Hi, > >> > >> I use Basemap and netCDF4-python on a regular basis, and find them > >> very useful tools. Thank you for developing them! > >> > >> I noticed that when using basemap.interp for nearest neighbor > >> (order=0) the interpolation is not masked, and nearest neighbor > masked > >> values will be used in the interpolation. I was wondering if > you could > >> suggest a way to do nearest neighbor interpolation where masked are > >> supported, i.e. nearest neighbor values that are not masked. > >> > >> Thanks for your help, > >> Juan > >> > > Juan: I agree that this would be desirable behavior. > Unfortunately, > > it's not obvious to me how to do it. I'll think about it and > get back > > to you. (cc'ing matplotlib-users list). > > > > -Jeff > > > > Juan: On second thought, I'm not sure this is desirable behavior. I > would guess that most of the time, if a nearest neighbor is > masked, the > user would expect the interpolation routine to return a masked > value. I > would be interested to hear what others think. > > -Jeff > > > ------------------------------------------------------------------------------ > What You Don't Know About Data Connectivity CAN Hurt You > This paper provides an overview of data connectivity, details > its effect on application quality, and explores various alternative > solutions. http://p.sf.net/sfu/progress-d2d > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > <mailto:Mat...@li...> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > |