Sept. 29, 2009
3:22 p.m.
On Tue, Sep 29, 2009 at 10:10, Neal Becker <ndbecker2@gmail.com> wrote:
I could force an additional conversion using np.array (xxx, dtype=float). Seems wasteful.
np.asarray() will not be wasteful.
The bigger question I have is, if I've subclassed an array, how can I get at the underlying array type?
x.view(np.ndarray) The .view() method serves two purposes: to create a view onto the same memory with a new dtype but also to create a view using a different ndarray subclass. -- 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