[Numpy-discussion] restrictions on fancy indexing

[Anne Archibald]

On 17 September 2010 13:47, Neal Becker <ndbecker2@gmail.com> wrote:
> It's nice I can do:
>
> f = np.linspace (0, 1, 100)
> u[f<.1] = 0
>
> cool, this seems to work also:
>
> u[np.abs(f)<.1] = 0
>
> cool!  But exactly what kind of expressions are possible here?  Certainly
> not arbitrary code.

The short answer is, anything that yields a boolean or integer array.
There's no syntactical magic here. It might be clearer to write it as:

c = np.abs(f)<.1
u[c] = 0

As for what generates boolean arrays, well, they're just numpy arrays,
you can mangle them any way you want. But in particular, < > == != are
operators that take two arrays and yield a boolean array. Also useful
are ~ | and &, which are the logical operators on boolean arrays.

Anne