[Numpy-discussion] Slices of structured arrays
Robert Ferrell
ferrell@diablotech....
Mon Jun 1 17:32:05 CDT 2009
Is there a way to get slices of a structured array and keep the field
names? For instance, I've got dtype=[('x','f4'),('y','f4'),
('z','f4')] and I want to get just the x & y slices into a new array
with dtype=[('x','f4'),('y','f4')].
I can just make a new dtype, and extract what I need, but I'm
wondering if there's some simple way to do this that I haven't found.
Here's what I know works:
# Make a len 10 array with 3 fields, 'x', 'y', 'z'
In [647]: xyz = np.array(zip(*np.random.random_integers(low=10,
size=(3,10))), dtype=[('x', 'f4'), ('y', 'f4'), ('z', 'f4')])
# Get just the 'x' and 'y' fields
In [648]: xy = np.array( zip(xyz['x'], xyz['y'] ), dtype=[('x','f4'),
('y', 'f4')])
In [649]: xyz['x']
Out[649]: array([ 4., 1., 1., 5., 1., 2., 9., 8., 1., 9.],
dtype=float32)
In [650]: xy['x']
Out[650]: array([ 4., 1., 1., 5., 1., 2., 9., 8., 1., 9.],
dtype=float32)
That works, but just feels like there's probably an elegant solution I
don't know. I couldn't find anything in the docs, but I may not have
been using the right search words.
thanks,
-robert
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