Should work with: b = numpy.ma.masked_array(b, mask=a.mask) -=- Olivier Le 4 mars 2012 13:01, Chao YUE <chaoyuejoy@gmail.com> a écrit :

Dear all,

I have a matrix with dimension of (360,720) but with all global data. I have another land-sea mask matrix with only 2 unique values in it (land=1, sea=-1). So I can easily create transform the second array to a masked array. the problem is, how can I quickly transform the first one to a masked array using the same mask as the land-sea mask array?

I hope my question is clear. If not, here is an example:

In [93]: a=np.arange(10).reshape(2,5) In [95]: a=np.ma.masked_equal(a,2 In [96]: a=np.ma.masked_equal(a,8)

In [97]: a Out[97]: masked_array(data = [[0 1 -- 3 4] [5 6 7 -- 9]], mask = [[False False True False False] [False False False True False]], fill_value = 8)

In [100]: b=np.random.normal(0,2,size=(2,5))

I want to convert b to a masked array using exactly the same mask as a.

thanks to all, cheers,

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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