On 2013/12/05 5:14 PM, Faraz Mirzaei wrote:
> Hi,
>
> If I pass a masked array through np.asarray, I get original unmasked array.
>
> Example:
>
> test = np.array([[1, 0], [-1, 3]])
>
> testMasked = ma.masked_less_equal(test, 0)
>
>
> print testMasked
>
> [[1 --]
>
> [-- 3]]
>
>
> print testMaske
Hi Faraz
On Thu, 05 Dec 2013 19:14:01 -0800, Faraz Mirzaei wrote:
> If I pass a masked array through np.asarray, I get original unmasked array.
`asarray` disregards any information attached to the underlying ndarray by the
subclass. To preserve the subclass, you'd need to use `asanyarray`.
The
Hi,
If I pass a masked array through np.asarray, I get original unmasked array.
Example:
test = np.array([[1, 0], [-1, 3]])
testMasked = ma.masked_less_equal(test, 0)
print testMasked
[[1 --]
[-- 3]]
print testMasked.fill_value
99
print np.asarray(testMasked)
[[ 1 0]
[-1 3]]
