Hello,

I have a cloud on sparse points that can be described by a Nx3 array (N 
is the number of points). Each point is defined by an x, y and z coordinate:

x0 y0 z0
x1 y1 z1
   .    .    .
   .    .    .
   .    .    .
xn yn zn


I need to bin the cloud to a regular 2D array according to a desired bin 
size assigning to each cell (bin) the minimum z of all points that fall 
in that cell(bin). Moreover I need indexes of points that fall in each 
cell(bin).

Is there any way to accomplish this task in numpy?

Thanks.

Nicola Creati




-- 
Nicola Creati
Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS 
www.inogs.it Dipartimento di Geofisica della Litosfera Geophysics of 
Lithosphere Department CARS (Cartography and Remote Sensing) Research Group 
http://www.inogs.it/Cars/ Borgo Grotta Gigante 42/c 34010 Sgonico - Trieste - 
ITALY ncre...@ogs.trieste.it
off.   +39 040 2140 213
fax.   +39 040 327307

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