Julian Taylor contributed some benchmarks he was "concerned" about, so
now the collection is even better.
I will keep updating tests on the same url:
http://www.onerussian.com/tmp/numpy-vbench/
[it is now running and later I will upload with more commits for higher
temporal fidelity]
of particul
Thanks Pierre, good to know there are so many tricks available.
Chao
On Tue, Jul 9, 2013 at 4:55 PM, Pierre Gerard-Marchant wrote:
>
> On Jul 9, 2013, at 16:38 , Chao YUE wrote:
>
> > Sorry I didn't the docs very carefully. there is no doc for np.ma.argmax
> for indeed there is for np.ma.argmi
On Jul 9, 2013, at 16:38 , Chao YUE wrote:
> Sorry I didn't the docs very carefully. there is no doc for np.ma.argmax for
> indeed there is for np.ma.argmin
Yeah, the doc of the function asks you to go check the doc of the method… Not
the best.
> so it's an expected behavior rather than a b
Sorry I didn't the docs very carefully. there is no doc for np.ma.argmax
for indeed there is for np.ma.argmin
so it's an expected behavior rather than a bug. Let some heavy users to say
their ideas.
Practicaly, the returned value of 0 will be always confused with the values
which are not masked
b
On Jul 9, 2013, at 16:08 , Sebastian Berg wrote:
> On Tue, 2013-07-09 at 15:14 +0200, Stéfan van der Walt wrote:
>> On Tue, Jul 9, 2013 at 2:55 PM, Chao YUE wrote:
>>> I am using 1.7.1 version of numpy and np.ma.argmax is not repecting the
>>> mask?
>>>
>>> In [96]: d3
>>> Out[96]:
>>> masked_
On Tue, 2013-07-09 at 15:14 +0200, Stéfan van der Walt wrote:
> On Tue, Jul 9, 2013 at 2:55 PM, Chao YUE wrote:
> > I am using 1.7.1 version of numpy and np.ma.argmax is not repecting the
> > mask?
> >
> > In [96]: d3
> > Out[96]:
> > masked_array(data =
> > [[-- -- -- -- 4]
> > [5 -- 7 8 9]],
>
On Tue, Jul 9, 2013 at 2:55 PM, Chao YUE wrote:
> I am using 1.7.1 version of numpy and np.ma.argmax is not repecting the
> mask?
>
> In [96]: d3
> Out[96]:
> masked_array(data =
> [[-- -- -- -- 4]
> [5 -- 7 8 9]],
> mask =
> [[ True True True True False]
> [False True False F
Dear all,
I am using 1.7.1 version of numpy and np.ma.argmax is not repecting the
mask?
I expect for all data that are masked, it should also return a mask, but
this is not
the case.
In [96]: d3
Out[96]:
masked_array(data =
[[-- -- -- -- 4]
[5 -- 7 8 9]],
mask =
[[ True True Tru
