On Tue, Jan 6, 2009 at 03:15, Stéfan van der Walt <stefan@sun.ac.za> wrote:

Hi all,

What is the exact protocol for evaluating functions like "real" and "imag" on object arrays?

For example, I'm looking at

x = np.array([np.array(3+1j), np.array(4+1j)], dtype=object)

For which both

In [4]: x.real Out[4]: array([(3+1j), (4+1j)], dtype=object)

and

In [6]: np.real(x) Out[6]: array([(3+1j), (4+1j)], dtype=object)

does nothing, so that I have to do

In [8]: [np.real(e) for e in x] Out[8]: [array(3.0), array(4.0)]

or [e.real for e in x].

Would it make sense make np.real aware of the above scenario?

Methods like ndarray.sin() check for e.sin(), so a case could certainly be made that ndarray.real should check for e.real . -- 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