On 19 October 2016 at 21:08, Todd <toddr...@gmail.com> wrote: > > a = np.ndarray([[[[48, 11, 141, 13, -60, -37, 58, -52, -29, 134], > [-6, 96, -66, 137, -59, -147, -118, -104, -123, -7]], > [[-103, 50, -89, -12, 28, -12, 119, -131, -73, 21], > [-58, 105, 25, -138, -106, -118, -29, -49, -63, -56]]], > [[[-43, -34, 101, -115, 41, 121, 3, -117, 101, -145], > [100, -128, 76, 128, -113, -90, 52, -91, -72, -15]], > [[22, -65, -118, 134, -58, 55, -73, -118, -53, -60], > [-85, -136, 83, -66, -35, -117, -71, 115, -56, 133]]]]) > > I think both of the new examples are considerably clearer than the current > approach. > > Does anyone have any questions or thoughts?
My 5 cents here. When I am dealing with such arrays, the only *good* solution which comes to my mind is to find or develop a nice GUI application which will allow me to use all powers of mouse/keyboard for navigation through data and switching between dimensions, and editing them in an effective way. Anything in a text mode editor for this task will be probably pointless, both for editing and reading such arrays. And indeed it is frustrating and error prone at times. Mikhail _______________________________________________ Python-ideas mailing list Python-ideas@python.org https://mail.python.org/mailman/listinfo/python-ideas Code of Conduct: http://python.org/psf/codeofconduct/
