Thanks Jason,
I opted to use Re(X) = (X + X.conjugate())/2 in the end. I don't know
enough
about Python's interpreter to know whether this is more or less
efficient than
your suggestion. Thank you for the info about the new version, I shall
upgrade
soon.
Will.

On Nov 24, 3:01 pm, Jason Grout <[EMAIL PROTECTED]> wrote:
> Bill wrote:
> > Hello,
> > given a matrix over CDF I would like to obtain its real and imaginary
> > parts.
> > I know how to write my own function to do this, but I was wondering if
> > there is one built-in. Couldn't see anything in the docs.
>
> I don't think there is a built-in function for it, but you can easily
> apply a function to each element of a matrix by using the apply_map method:
>
> sage: m=matrix(CDF, [[1,I],[1+2*I,3+4*I]])
> sage: m
>
> [        1.0       1.0*I]
> [1.0 + 2.0*I 3.0 + 4.0*I]
> sage: m.apply_map(real)
>
> [1.0 0.0]
> [1.0 3.0]
> sage: m.apply_map(imag)
>
> [0.0 1.0]
> [2.0 4.0]
>
> By the way, since 3.0.5, the RDF and CDF matrices have had a major
> upgrade to use numpy as a backend.
>
> Thanks,
>
> Jason
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