[Numpy-discussion] Re place array values

[Gökhan Sever]

Hi,

You can try masked_array module:

x = np.array([[0,1,2],[3,4,5],[6,7,8]])

I3 np.ma.masked_where(x<1, x)
O3
masked_array(data =
 [[-- 1 2]
 [3 4 5]
 [6 7 8]],
             mask =
 [[ True False False]
 [False False False]
 [False False False]],
       fill_value = 999999)

There might be a smarter solution than this, since ma tends to get slower
when you deal with big data arrays. But you retain the 2D information
instead of getting a flattened np.array.


On Wed, Mar 14, 2012 at 5:35 PM, jonasr <jonas.ruebsam at web.de> wrote:

>
> Hello,
>
> my problem is that i want to remove some small numbers of an 2d array,
> for example if i want to sort out all numbers smaller then 1 of an array i
> get
>
> x=[[0,1,2],[3,4,5][6,7,8]]
>
> c=x>=1
>
> In [213]: c
> Out[213]:
> array([[False,  True,  True],
>       [ True,  True,  True],
>       [ True,  True,  True]], dtype=bool)
>
> In [214]: x[c]
> Out[214]: array([1, 2, 3, 4, 5, 6, 7, 8])
>
> the problem ist that i now have a 1d array, is there any possibility to
> keep the 2d structure ?
>
> greets jonas
> --
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>
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-- 
Gökhan
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