As I'm sure I stated in the GItHub discussion, I strongly support adding
these functions to NumPy. This logic is non-trivial to get right and is
quite broadly useful.
These names also seem natural to me.
On Mon, May 28, 2018 at 8:07 PM Eric Wieser
wrote:
> These functions provide a vectorized w
These functions provide a vectorized way of using one array to look up
items in another. In particular, they extend the 1d:
a = np.array([4, 5, 6, 1, 2, 3])
b = np.array(["four", "five", "six", "one", "two", "three"])
i = a.argsort()
b_sorted = b[i]
To work for higher-dimensions:
a = np.array([[
