I have a numpy array (
dat) of shape
n denotes the number of rows, and the three columns represent the
x (column 0),
y (column 1) and
z (column 2) coordinates respectively.
I want to EXCLUDE those rows in this numpy array where the values of
x lie between a certain limit (
xlow < x < xupp AND where the values of
y lie between
ylow < x < yupp AND where the values of
z lie between
zlow < x < zupp. I already have values of
[xlow, xupp, ylow, yupp, zlow, zupp].
I know how to find the region (rows) where the condition of exclusion holds using:
mark = np.where( ( dat[:,0]>xlow & \ dat[:,0]<xhigh ) & \ ( dat[:,1]>ylow & \ dat[:,1]<yhigh ) & \ ( dat[:,2]>zlow & \ dat[:,2]<zhigh ) )
But, I want these rows to be excluded in my new array. How can I do this in numpy? Thanks.