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 False False False
False],
fill_value = 999999)
Regards,
Richard Hattersley
On 10 September 2012 17:43, Chao YUE <chaoyue...@gmail.com> wrote:
> Dear all numpy users,
>
> what's the easy way if I just want to change part of the unmasked array
> elements into another new value? like an example below:
> in my real case, I would like to change a subgrid of a masked numpy array
> to another value, but this grid include both masked and unmasked data.
> If I do a simple array[index1:index2, index3:index4] = another_value,
> those data with original True mask will change into False. I am using numpy
> 1.6.2.
> Thanks for any ideas.
>
> In [91]: a = np.ma.masked_less(np.arange(10),5)
>
> In [92]: or_mask = a.mask.copy()
> In [93]: a
> Out[93]:
> masked_array(data = [-- -- -- -- -- 5 6 7 8 9],
> mask = [ True True True True True False False False False
> False],
> fill_value = 999999)
>
>
> In [94]: a[3:6]=1
>
> In [95]: a
> Out[95]:
> masked_array(data = [-- -- -- 1 1 1 6 7 8 9],
> mask = [ True True True False False False False False False
> False],
> fill_value = 999999)
>
>
> In [96]: a = np.ma.masked_array(a,mask=or_mask)
>
> In [97]: a
> Out[97]:
> masked_array(data = [-- -- -- -- -- 1 6 7 8 9],
> mask = [ True True True True True False False False False
> False],
> fill_value = 999999)
>
> Chao
>
> --
>
> ***********************************************************************************
> Chao YUE
> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
> UMR 1572 CEA-CNRS-UVSQ
> Batiment 712 - Pe 119
> 91191 GIF Sur YVETTE Cedex
> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>
> ************************************************************************************
>
>
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