ncreati at inogs.it
Thu Dec 22 04:13:56 EST 2011
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
Is there any way to accomplish this task in numpy?
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 ncreati at ogs.trieste.it
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