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BUG: np.apply_along_axis produces nested object scalars #8642

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eric-wieser opened this issue Feb 19, 2017 · 0 comments
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BUG: np.apply_along_axis produces nested object scalars #8642

eric-wieser opened this issue Feb 19, 2017 · 0 comments
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00 - Bug 06 - Regression component: numpy.lib

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eric-wieser commented Feb 19, 2017 •
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"Regression" from #8441:

>>> np.apply_along_axis(lambda x: set(x), 1, [[1, 2, 3]])
array([array({1, 2, 3}, dtype=object)], dtype=object)

Expected

array([{1, 2, 3}], dtype=object)

Before the #8441 patch (#5248):

array([[{1, 2, 3}, {1, 2, 3}, {1, 2, 3}]], dtype=object)

This comes down to the fact that arr[...] = np.array(a_scalar) does a different thing when the scalar is of object dtype
@eric-wieser eric-wieser mentioned this issue Feb 19, 2017
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@eric-wieser eric-wieser mentioned this issue Feb 19, 2017
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eric-wieser added a commit to eric-wieser/numpy that referenced this issue Apr 6, 2017
@eric-wieser
BUG: Fix double-wrapping of object scalars
fa56437 
Fixes numpy#8642
@eric-wieser eric-wieser changed the title np.apply_along_axis produces nested object scalars BUG: np.apply_along_axis produces nested object scalars Apr 6, 2017
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