On Tue, Sep 21, 2010 at 6:20 PM, Timothy W. Hilton <[email protected]> wrote:
> Hello,
>
> I have an indexing problem which I suspect has a simple solution, but
> I've not been able to piece together various threads I've read on this
> list to solve.
>
> I have an 80x1200x1200 nd.array of floats this_par. I have a
> 1200x1200 boolean array idx, and an 80-element float array pars. For
> each element of idx that is True, I wish to replace the corresponding
> 80x1x1 slice of this_par with the elements of pars.
>
> I've tried lots of variations on the theme of
>>>>this_par[idx[np.newaxis, ...]] = pars[:, np.newaxis, np.newaxis]
> but so far, no dice.
>
> Any help greatly appreciated!
>
> Thanks,
> Tim
This works, although I imagine it could be streamlined.
In [1]: this_par = N.ones((2,4,4))
In [2]: idx = N.random.random((4,4)) > 0.5
In [3]: pars = N.arange(2) - 10
In [4]: this_par[:,idx] = N.tile(pars, (idx.sum(), 1)).transpose()
In [5]: idx
Out[5]
array([[ True, False, True, False],
[False, False, True, True],
[False, False, False, False],
[False, False, False, False]], dtype=bool)
In [6]: this_par
Out[6]:
array([[[-10., 1., -10., 1.],
[ 1., 1., -10., -10.],
[ 1., 1., 1., 1.],
[ 1., 1., 1., 1.]],
[[ -9., 1., -9., 1.],
[ 1., 1., -9., -9.],
[ 1., 1., 1., 1.],
[ 1., 1., 1., 1.]]])
Brett
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