diff options
| author | Srimukh Sripada <git@srimukh.com> | 2022-06-27 05:06:00 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2022-06-26 23:06:00 -0400 |
| commit | e67fe9f1a86013dbfd4a5ad2bd69aa6e7f60e1fb (patch) | |
| tree | c63192e3b1c5eeede2bd042f4531f44568256d5e /numpy/lib/function_base.py | |
| parent | b65f0b7b8ba7e80b65773e06aae22a8369678868 (diff) | |
| download | numpy-e67fe9f1a86013dbfd4a5ad2bd69aa6e7f60e1fb.tar.gz | |
BUG: Use `keepdims` during normalization in `np.average` and `np.ma.average` (#21851)
The keepdims flag needs to be applied during the calculation of the sum of
the weights in np.average and np.ma.average. Not passing it causes weights
to broadcast incorrectly.
Fixes #21850
Diffstat (limited to 'numpy/lib/function_base.py')
| -rw-r--r-- | numpy/lib/function_base.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 843e1b85a..d90c23bfe 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -542,7 +542,7 @@ def average(a, axis=None, weights=None, returned=False, *, wgt = np.broadcast_to(wgt, (a.ndim-1)*(1,) + wgt.shape) wgt = wgt.swapaxes(-1, axis) - scl = wgt.sum(axis=axis, dtype=result_dtype) + scl = wgt.sum(axis=axis, dtype=result_dtype, **keepdims_kw) if np.any(scl == 0.0): raise ZeroDivisionError( "Weights sum to zero, can't be normalized") |