> Date: Mon, 24 Oct 2016 08:44:46 -0400 > From: Matthew Harrigan <harrigan.matt...@gmail.com> > > I posted a pull request <https://github.com/numpy/numpy/pull/8206> which > adds optional padding kwargs "to_begin" and "to_end" to diff. Those > options are based on what's available in ediff1d. It closes this issue > <https://github.com/numpy/numpy/issues/8132>

I like the proposal, though I suspect that making it general has obscured that the most common use-case for padding is to make the inverse of np.cumsum (at least thatâ€™s what I frequently need), and now in the multidimensional case you have the somewhat unwieldy: >>> np.diff(a, axis=axis, to_begin=np.take(a, 0, axis=axis)) rather than >>> np.diff(a, axis=axis, keep_left=True) which of course could just be an option upon what you already have. Best, Peter _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion