Christopher Barker wrote:
>Hi all,
>
>I'm using a recarray to read a bunch of binary data out of a file. It's
>working great, but it seems there should be a more efficient way to
>"slice" the data. Here's what I've got:
>
>The binary data is essentially a dump of a 2-d array of structs. So I
>read it like this:
>
>DataType = N.dtype([("long","i4"), ("lat", "i4"), ("flag","b1")])
>
>data = N.fromfile(file, DataType)
>
>data.shape = (M, N)
>
>So I now have a MxN array of the structs. What I would like to do is
>extract a MxNx2 array of just the two 4-byte integers. It seems that I
>should be able to do that without copying -- by using a view into the
>original data. I can't figure out how, however. What I am doing is:
>
>LEs = N.empty((M, N, 2), dtype=N.int32)
>LEs[:,:,0] = data['long']
>LEs[:,:,1] = data['lat']
>
>This works, but these are BIG files, so it would be nice not to be doing
>that extra copying. Is that possible?
>
>
How about
newdtype = N.dtype([('both','2i4'),('','b1')])
res = data.view(newdtype)['both']
-Travis
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