[Numpy-discussion] saving 3d array

[Sudheer Joseph]

Thanks a lot,
              Both suggestions helped me and I could save it as below.
np.savez('eof_output',eof=eof1.data,pcs=pc1,lags=lags,lons=lons,lats=lats,x=x,y=y,clevs=clevs,eof_mask=eof1.mask)

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Sudheer Joseph 
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>________________________________
> From: Pierre GM <pgmdevlist at gmail.com>
>To: Discussion of Numerical Python <numpy-discussion at scipy.org> 
>Sent: Saturday, 15 June 2013 9:36 PM
>Subject: Re: [Numpy-discussion] saving 3d array
> 
>
>
>On Jun 15, 2013, at 17:35 , Matthew Brett <matthew.brett at gmail.com> wrote:
>
>> Hi,
>> 
>> On Sat, Jun 15, 2013 at 2:51 PM, Sudheer Joseph
>> <sudheer.joseph at yahoo.com> wrote:
>>> 
>>> Thank you very much for this tip.
>>> Is there a typical way to save masked and the rest separately?. Not much familiar with array handling in numpy.
>> 
>> I don't use masked array myself, but it looks like it would be something like:
>> 
>> eof1_unmasked = np.array(eof1)
>> eof1_mask = eof1.mask
>> 
>> then you could save those two.  Maybe a more maskey person could comment?
>
>Instead of `eof1_unmasked=np.array(eof1)`, you could do `eof1_unmasked = eof1.data`. The '.data' attribute points to  a view of the masked array as a simple ndarray.
>
>You may also wanna try `eof1.torecords()` that will return a structured array with dtype `[('_data',type_of_eof1),('_mask', bool)]`. 
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