Re: [Numpy-discussion] numpy putmask() method and a scalar.

[Sasha <nd...@ma...>]

Do we really need the putmask method?  With fancy indexing the obvious
way to do it is

>>> a[a>3] =3D 3

and it works fine.   Maybe we can drop putmask method before 1.0
instead of fixing the bug.

On 5/1/06, Christopher Barker <Chr...@no...> wrote:
> Hi all,
>
> I was just trying to use the putmask() method to replace a bunch of
> values with the same value and got and error, where the putmask()
> function works fine:
>
>  >>> import numpy as N
>  >>> a =3D N.arange(5)
>  >>> a
> array([0, 1, 2, 3, 4])
>  >>> a.putmask(a > 3, 3)
> Traceback (most recent call last):
>    File "<stdin>", line 1, in ?
> ValueError: putmask: mask and data must be the same size
>
>  >>> N.putmask(a, a > 3, 3)
>  >>> a
> array([0, 1, 2, 3, 3])
>
> and:
>
>  >>> help (N.ndarray.putmask)
> putmask(...)
>      a.putmask(values, mask) sets a.flat[n] =3D v[n] for each n where
> mask.flat[n] is TRUE. v can be scalar.
>
> indicates that it should work.
>
> -Chris
>
>
> --
> Christopher Barker, Ph.D.
> Oceanographer
>
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> Chr...@no...
>
>
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