Dear Richard,
this is what I want. Thanks!
Chao
On Tue, Sep 11, 2012 at 3:19 PM, Richard Hattersley
wrote:
> Hi Chao,
>
> If you don't mind modifying masked values, then if you write to the
> underlying ndarray it won't touch the mask:
>
> >>> a = np.ma.masked_less(np.arange(10),5)
> >>> a.base
The sorted array you see is the same as original array. I have replied to code
to generate the below data. (done in a loop. Each loop generates sorted numpy
arrayas it reads from file) and combines all arrays into a single numpy array.
I need to sort the final array into a single sorted array. I
I am wondering of this has to do with the size of the array.
It looks like the array is sorted --- but in chunks.
--
Travis Oliphant
(on a mobile)
512-826-7480
On Sep 10, 2012, at 10:46 PM, "Jadhav, Alok"
wrote:
>
> Hi everyone,
>
> I have a numpy array of dimensions
>
> >>> allRics.sh
Hi Chao,
If you don't mind modifying masked values, then if you write to the
underlying ndarray it won't touch the mask:
>>> a = np.ma.masked_less(np.arange(10),5)
>>> a.base[3:6] = 1
>>> a
masked_array(data = [-- -- -- -- -- 1 6 7 8 9],
mask = [ True True True True True False Fa
Hello List,
I searched the list whether it is possible to use optional arguments in
fortran functions that are compiled with f2py.
In 2008, this feature was not yet included and appeared to be non-trivial.
Does anybody know the status of putting that feature in f2py?
Thanks,
Mark
__
Anthony, Travis,
I understand how an example that generates the data would be useful but
it will be difficult to provide this in my case for following reasons
- Data is read from hdf5 files (>50 MB)
- Attaching the code which is used to generate the data. It may
provide some m
