Tom Johnson wrote:
What is the meaning of numpy's maximum on a complex-valued array?
We impose a lexicographical ordering on the complex space. Complex numbers are
compared first by their real component and then, if the real components are
equal, by their imaginary component.
In [1]: from numpy import *
In [19]: c = random.randint(0, 5, 10) + random.random(10)*1j
In [20]: c
Out[20]:
array([ 0.+0.68448275j, 1.+0.97849291j, 3.+0.22114928j, 4.+0.65409519j,
3.+0.91550523j, 4.+0.50667105j, 1.+0.34576644j, 4.+0.97286048j,
1.+0.07268317j, 0.+0.52885086j])
In [21]: c.sort()
In [22]: c
Out[22]:
array([ 0.+0.52885086j, 0.+0.68448275j, 1.+0.07268317j, 1.+0.34576644j,
1.+0.97849291j, 3.+0.22114928j, 3.+0.91550523j, 4.+0.50667105j,
4.+0.65409519j, 4.+0.97286048j])
--
Robert Kern
I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpret it as though it had
an underlying truth.
-- Umberto Eco
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