Hi numpy users,
I have a masked array. I am looping over the elements of this array and
sometimes want to set a value to missing. Normally this can be done by:
myarray.mask[i] = True
However the mask attribute is not indexable when there are no existing missing
values in the array (it is simply False). In this case I therefore get an
error message:
myarray.mask[i] = True
TypeError: object does not support item assignment
Is the best way to solve the problem to do something like this:
mask = ma.getmaskarray(myarray)
for i in range(n):
if blahblah:
mask[i] = True
myarray = ma.array(myarray, copy=False, mask=mask)
or is there a more elegant solution?
Does anyone by the way have any pointers to documentation of the masked array
features of numpy? I know that it is treated in the numarray manual but it
seems like there are some important syntax differences that make this manual
of little use in that regard.
- Jesper
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