On Sep 30, 2010, at 12:15 AM, Gökhan Sever wrote:
> On Wed, Sep 29, 2010 at 5:09 PM, Pierre GM wrote:
>>
>> On Sep 29, 2010, at 11:46 PM, josef.p...@gmail.com wrote:
>>>
>>> any of the ma stack array function might also work, or not?
>>
>> In np.ma.extras ? Most likely, yes
>
> This seems to
On Sep 30, 2010, at 12:01 AM, Gökhan Sever wrote:
>> You're using a standard numpy function on a masked array. It's hardly
>> surprising that you run into some issues. You should use the np.ma
>> equivalent. Except of course that the equivalent doesn't exist yet... Please
>> open a ticket.
>
On Wed, Sep 29, 2010 at 5:09 PM, Pierre GM wrote:
>
> On Sep 29, 2010, at 11:46 PM, josef.p...@gmail.com wrote:
>>
>> any of the ma stack array function might also work, or not?
>
> In np.ma.extras ? Most likely, yes
This seems to do what I want:
I[262]: np.ma.hstack(all_measured)
O[262]:
masked
On Sep 29, 2010, at 11:46 PM, josef.p...@gmail.com wrote:
>
> any of the ma stack array function might also work, or not?
In np.ma.extras ? Most likely, yes
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> You're using a standard numpy function on a masked array. It's hardly
> surprising that you run into some issues. You should use the np.ma
> equivalent. Except of course that the equivalent doesn't exist yet... Please
> open a ticket.
Here it comes -> http://projects.scipy.org/numpy/ticket/16
On Wed, Sep 29, 2010 at 5:37 PM, Pierre GM wrote:
>
> On Sep 29, 2010, at 11:01 PM, Gökhan Sever wrote:
>
>> Hello,
>>
>> Consider these two simple masked arrays:
>>
>> I[188]: a = np.ma.masked_equal([1,2,3], value=2)
>>
>> I[189]: b = np.ma.masked_equal([4,3,2], value=2)
>>
>> An operation like t
On Sep 29, 2010, at 11:01 PM, Gökhan Sever wrote:
> Hello,
>
> Consider these two simple masked arrays:
>
> I[188]: a = np.ma.masked_equal([1,2,3], value=2)
>
> I[189]: b = np.ma.masked_equal([4,3,2], value=2)
>
> An operation like this voids the mask:
>
> I[190]: np.append(a,b)
> O[190]:
>
Hello,
Consider these two simple masked arrays:
I[188]: a = np.ma.masked_equal([1,2,3], value=2)
I[189]: b = np.ma.masked_equal([4,3,2], value=2)
An operation like this voids the mask:
I[190]: np.append(a,b)
O[190]:
masked_array(data = [1 2 3 4 3 2],
mask = False,
fill_valu