[Numpy-discussion] ndarray with double comparison

[Benjamin Root]

On Thu, Oct 13, 2011 at 11:13 AM, Chao YUE <chaoyuejoy@gmail.com> wrote:

> Dear all,
>
> sorry for this stupid question but I cannot find it in numpy tutorial or
> google.
> suppose I have a=np.arange(11).
>
> In [32]: a < 8
> Out[32]:
> array([ True,  True,  True,  True,  True,  True,  True,  True, False,
>        False, False], dtype=bool)
>
> In [34]: a > 4
> Out[34]:
> array([False, False, False, False, False,  True,  True,  True,  True,
>         True,  True], dtype=bool)
>
> how can I have boolean index like 4 < a < 8
> np.where(a>4 and a<8);or plainly input "a>4 and a<8" doesn't work.
>
> thanks,
>
> Chao
>
>
Unfortunately, you can't use "and", "or", "not" keywords with boolean arrays
because numpy can't overload them.  Instead, use the bitwise operators: '&',
'|', and '~'.  Be careful, though, because of operator precedence is
different for bitwise operators than the boolean keywords.  I am in the
habit of always wrapping my boolean expressions in parentheses, just in
case.

(a > 4) & (a < 8)

is what you want.  Note that "a > 4 & a < 8" would be evaluated in a
different order -- "4 & a" would be first.

I hope that helps!

Ben Root
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