[Numpy-discussion] Broadcasting with np.logical_and.reduce

[Antony Lee]

I read the "Methods" section of the ufuncs doc page (
http://docs.scipy.org/doc/numpy/reference/ufuncs.html#methods) again and I
think this could be made clearer simply by replacing the first sentence from

"All ufuncs have four methods."

to

"All ufuncs have five methods that operate on array-like objects." (yes,
there's also "at", which seems to have been added later to the doc...)

This would make it somewhat clearer that

"logical_and.reduce([array([True, False], dtype=bool), array([True],
dtype=bool)])"

interprets the single list argument as an array-like (of dtype object)
rather than as an iterable over which to reduce (as python's builtin reduce
would).

In fact there is another point in that paragraph that could be improved;
namely "axis" does not have to be an integer for "reduce".

Antony

2014-09-12 10:46 GMT-07:00 Robert Kern <robert.kern at gmail.com>:

> On Fri, Sep 12, 2014 at 5:46 PM, Robert Kern <robert.kern at gmail.com>
> wrote:
> > On Fri, Sep 12, 2014 at 5:44 PM, Antony Lee <antony.lee at berkeley.edu>
> wrote:
> >> I see.  I went back to the documentation of ufunc.reduce and this is not
> >> explicitly mentioned although a posteriori it makes sense; perhaps this
> can
> >> be made clearer there?
> >
> > Please recommend the documentation you would like to see.
>
> Specifically, the behavior I described is the interaction of several
> different things, but you don't mention which part of it "is not
> explicitly mentioned".
>
> --
> Robert Kern
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