On 10/12/2010 9:14 PM, Pinner, Luke wrote:
> I'm working with some MODIS satellite imagery. MODIS data includes a
> quality flag mask. For the particular dataset I'm working with, this is
> a two dimensional unsigned 16 bit integer array. The quality flags are
> stored as one or more bits in each
Alexander Schmolck writes:
> So my question is: might it make sense to use (a slightly wrapped)
> numpy.ndarray, and if so is some code already floating around for that (on
> first glance it seems like there's a bit of support for the obsolete Numeric
> package in boost, but none for the newer
Christopher Barker writes:
>
> I've seen that -- it does look like all we'd need is the header.
>
> So, can one:
>
> - create a Multiarray from an existing data pointer?
>
> - get the data pointer for an existing Multiarray?
>
> I think that's what I'd need to make the numpy arr
