8000 ENH: Allow histogramdd to work with mixed edge types · Issue #11024 · numpy/numpy · GitHub
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ENH: Allow histogramdd to work with mixed edge types #11024

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eric-wieser opened this issue May 1, 2018 · 2 comments
Open

ENH: Allow histogramdd to work with mixed edge types #11024

eric-wieser opened this issue May 1, 2018 · 2 comments
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01 - Enhancement component: numpy.datetime64 (and timedelta64) component: numpy.lib

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@eric-wieser
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It would be great if one axis could be an integer while the other is a float. Supporting datetime / float axes would be handy too.

Fixing this would involve removing the array cast in

    try:
        # Sample is an ND-array.
        N, D = sample.shape
    except (AttributeError, ValueError):
        # Sample is a sequence of 1D arrays.
        sample = np.atleast_2d(sample).T
        N, D = sample.shape`
@tylerjereddy
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Would it be possible to provide an example of the "mixed" input scenario you're describing for clarity? A small code snippet that doesn't work now but that it would be nice if it worked.

@eric-wieser
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eric-wieser commented May 4, 2018 •
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Sure, something like

dates = np.arange('today', 10, dtype=np.datetime64)
values  = np.random.rand(10)
hist, edges = np.histogramdd((dates, values))  # or at least, with explicit edge arguments

assert edges[0].dtype == dates.dtype
assert edges[1].dtype == values.dtype

Right now all the inputs get converted to the same dtype.

@tylerjereddy tylerjereddy mentioned this issue May 8, 2018
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@mattip mattip added the component: numpy.datetime64 (and timedelta64) label Sep 4, 2018
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@eric-wieser @mattip @tylerjereddy
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