[Numpy-discussion] Truth value of an array
Sat Apr 19 02:21:40 CDT 2008
Anne, thank you, this was the example I was looking for. Indeed A!=B
would not work as expected if the bool(A) always returned A.all(). Now
I can teach my student why there is no automatic conversion from
boolean arrays to booleans.
On 18/04/2008, Anne Archibald <email@example.com> wrote:
> On 18/04/2008, Olivier <firstname.lastname@example.org> wrote:
> > Let's restrict the discussion the case to boolean arrays (dtype bool),
> > since all the comparisons (A==B, A!=B, A<B etc. return boolean
> > arrays).
> > So I have an array filled with booleans. Is there a reason not to map
> > "bool(A)" to "A.all()" but instead raise an exception?
> > As far as I can see, "if A==B" is clear enough; one always means
> > "(A==B).all()". Isn't that so?
> > I would like to see examples where there is clearly an ambiguity so
> > that I understand the benefit of having an exception raised for
> > boolean matrices instead of simply using all().
> > If there is no such clear example, then why not map "bool(A)" to
> > "A.all()" in numpy?
> In : import numpy as np
> In : A = np.array([0,1])
> In : B = np.array([0,0])
> In : (A==B).all()
> Out: False
> In : (A!=B).all()
> Out: False
> One would expect A!=B to be the logical opposite of A==B, but with
> your proposed suggestion it is not.
> In math, when comparing functions, one can compare the functions as a
> whole, or one can compare them pointwise. numpy's implementation does
> pointwise comparison, for a variety of good reasons. As for why
> converting an array to a boolean doesn't automatically do all(), if
> you don't know you are dealing with an array and using all(), you will
> surely shoot yourself in the foot sooner rather than later (as the
> above example shows). If you do, simply wrapping it in all() is easy
> and clear.
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