Jorl Shefner wrote:
Could anyone tell me the efficient way to do this? Extracting values from an array for a single condition (say all values greater than 'x') using 'where' and 'compress' is simple enough.


from Numeric import arange,where,compress
data= arange(10)
data= [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
mask= where((data > 3),1,0)
result= compress(mask,data)
result

array([4, 5, 6, 7, 8, 9])

But, 'where' doesn't appear to allow for multiple conditions in one statement. For instance, I'd like to do something like:

mask= where((3 < data <= 7),1,0)

but, this won't work.

Right. "3 < data" creates an array of 0s and 1s where the condition is false and true, respectively. You don't need where() at all.


Try

mask = logical_and(3 < data, data <= 7)

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Robert Kern
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