ENH: add a 'return_counts=' keyword argument to `np.unique`

This PR adds a new keyword argument to `np.unique` that returns the
number of times each unique item comes up in the array. This allows
replacing a typical numpy construct:

    unq, _ = np.unique(a, return_inverse=True)
    unq_counts = np.bincount(_)

with a single line of code:

    unq, unq_counts = np.unique(a, return_counts=True)

As a plus, it runs faster, because it does not need the extra
operations required to produce `unique_inverse`.

0 files changed, 0 insertions, 0 deletions