On Tue, 2013-10-29 at 16:47 +0000, Henry Gomersall wrote: > Is there a way to extract the size of array that would be created by > doing 1j*array? >
There is np.result_type. It does the handling of scalars as normal, dtypes will be handled like arrays (scalars are allowed to lose precision). - Sebastian > The problem I'm having is in creating an empty array to fill with > complex values without knowing a priori what the input data type is. > > For example, I have a real or int array `a`. > > I want to create an array `b` which can hold values from 1j*a in such a > way that I don't need to compute those explicitly (because I only need > parts of the array say), without upcasting (or indeed downcasting) the > result. > > So if `a` was dtype 'float32`, `b` would be of dtype `complex64`. If `a` > was `int64`, `b` would be of dtype `complex128` etc. > > Cheers, > > Henry > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
