Dear all,
I built a new empty masked array:
In [91]: a=np.ma.empty((2,5))
In [92]: a
Out[92]:
masked_array(data =
[[ 1.20569155e-312 3.34730819e-316 1.13580079e-316 1.11459945e-316
9.69610549e-317]
[ 6.94900258e-310 8.48292532e-317 6.94900258e-310 9.76397825e-317
There may be a better way to do it, but you can first do:
a.mask = np.zeros_like(a)
then afterwards e.g. a.mask[0, 0] = True will work.
-=- Olivier
Le 18 février 2012 10:52, Chao YUE chaoyue...@gmail.com a écrit :
Dear all,
I built a new empty masked array:
In [91]: a=np.ma.empty((2,5))
On 02/18/2012 05:52 AM, Chao YUE wrote:
Dear all,
I built a new empty masked array:
In [91]: a=np.ma.empty((2,5))
Of course this only makes sense if you are going to immediately populate
the array.
In [92]: a
Out[92]:
masked_array(data =
[[ 1.20569155e-312 3.34730819e-316
