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authorRedRuM <44142765+zoj613@users.noreply.github.com>2019-11-03 19:53:08 +0200
committerRedRuM <44142765+zoj613@users.noreply.github.com>2019-11-03 19:53:08 +0200
commit87840dc2f09ebeed12c3b9fef68b94dc04f4d16f (patch)
treef746eeaa31cb757de6ee7cb5253c6ae4c0b4218c /numpy/lib/arraysetops.py
parent0117379f1c751296c914ffe9547a84380219b588 (diff)
parent2be03c8d25b14b654064e953feac7d210e6bd44d (diff)
downloadnumpy-87840dc2f09ebeed12c3b9fef68b94dc04f4d16f.tar.gz
merge latest changes on master branch
Diffstat (limited to 'numpy/lib/arraysetops.py')
-rw-r--r--numpy/lib/arraysetops.py5
1 files changed, 3 insertions, 2 deletions
diff --git a/numpy/lib/arraysetops.py b/numpy/lib/arraysetops.py
index f3f4bc17e..2309f7e42 100644
--- a/numpy/lib/arraysetops.py
+++ b/numpy/lib/arraysetops.py
@@ -213,6 +213,7 @@ def unique(ar, return_index=False, return_inverse=False,
-----
When an axis is specified the subarrays indexed by the axis are sorted.
This is done by making the specified axis the first dimension of the array
+ (move the axis to the first dimension to keep the order of the other axes)
and then flattening the subarrays in C order. The flattened subarrays are
then viewed as a structured type with each element given a label, with the
effect that we end up with a 1-D array of structured types that can be
@@ -264,7 +265,7 @@ def unique(ar, return_index=False, return_inverse=False,
# axis was specified and not None
try:
- ar = np.swapaxes(ar, axis, 0)
+ ar = np.moveaxis(ar, axis, 0)
except np.AxisError:
# this removes the "axis1" or "axis2" prefix from the error message
raise np.AxisError(axis, ar.ndim)
@@ -285,7 +286,7 @@ def unique(ar, return_index=False, return_inverse=False,
def reshape_uniq(uniq):
uniq = uniq.view(orig_dtype)
uniq = uniq.reshape(-1, *orig_shape[1:])
- uniq = np.swapaxes(uniq, 0, axis)
+ uniq = np.moveaxis(uniq, 0, axis)
return uniq
output = _unique1d(consolidated, return_index,