Gordon Williams wrote:

Hi All,

I have an 2D numeric array of x,y points eg [(1,3),(2,4),(5,6)] and I would like to remove all the points in the array that don't meet the min/max point criteria. I will have several thousand points. With lists I can do it like

[(x,y) for x,y in seq if xMin < x <xMax and yMin< y <yMax]

How do I get the same functionality and better speed using numeric. I have tried a bunch of things using compress and take but I am running up against a brick wall.

I think you want something like this:

...

...

cond = (xMin < a[:,0]) & (a[:,0] < xMax) & (yMin < a[:,1]) & (a[:,1] < yMax) np.compress(cond, a, 0)

Where 'a' is your original Nx2 array. Unfortunately the obvious notation and prettier notation using (xMin < a[:,0] < xMax) fails because python treats that as "(xMin < a[:,0]) and (a[:,0] < xMax)" and "and" is not what you need here, '&' is. -tim

Any ideas?

Thanks

Gordon Williams

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