Sounds like it could be a good match for `scipy.spatial.cKDTree`.
It can handle single-element queries...
element = numpy.arange(1, 8)
targets = numpy.random.uniform(0, 8, (1000, 7))
tree = scipy.spatial.cKDTree(targets)
distance, index = tree.query(element)
targets[index]
array([
Hello,
Can somebody give me some hints as to how to code up this function
in pure python, rather than dropping down to Fortran?
I will want to compare a 7-element vector (called element) to a large list of
similarly-dimensioned
vectors (called target, and pick out the vector in target that is
On Wed, May 2, 2012 at 11:06 AM, Moroney, Catherine M (388D)
catherine.m.moro...@jpl.nasa.gov wrote:
I will want to compare a 7-element vector (called element) to a large list
of similarly-dimensioned
vectors (called target, and pick out the vector in target that is the
closest to element
On Wed, May 2, 2012 at 1:06 PM, Moroney, Catherine M (388D)
catherine.m.moro...@jpl.nasa.gov wrote:
Hello,
Can somebody give me some hints as to how to code up this function
in pure python, rather than dropping down to Fortran?
I will want to compare a 7-element vector (called element) to a
