On Sep 20, 2010, at 11:09 PM, Benjamin Root wrote:
>
> And also if the inner execution could be clarified by asanyarray assertion
> why there is ma equivalent array operation functions?
>
> That is a design question for the numpy gods...
Well, asanyarray is not always a panacea, and can le
On Mon, Sep 20, 2010 at 4:03 PM, Gökhan Sever wrote:
> On Mon, Sep 20, 2010 at 3:34 PM, Benjamin Root wrote:
>
>> I have been using masked arrays quite extensively. My take on them is
>> that if a masked array makes sense in that operation, then they should still
>> work with the regular functi
On Mon, Sep 20, 2010 at 3:34 PM, Benjamin Root wrote:
> I have been using masked arrays quite extensively. My take on them is that
> if a masked array makes sense in that operation, then they should still work
> with the regular functions. However, there have been many cases where a
> developer
On Mon, Sep 20, 2010 at 3:23 PM, Gökhan Sever wrote:
> On Mon, Sep 20, 2010 at 1:05 PM, Robert Kern wrote:
>
>> Are you asking about when masked arrays are casted to ndarrays (and
>> thus losing the mask information)? Most times when a function uses
>> asarray() or array() to explicitly cast the
On Mon, Sep 20, 2010 at 3:23 PM, Gökhan Sever wrote:
> On Mon, Sep 20, 2010 at 1:05 PM, Robert Kern wrote:
>>
>> Are you asking about when masked arrays are casted to ndarrays (and
>> thus losing the mask information)? Most times when a function uses
>> asarray() or array() to explicitly cast the
On Mon, Sep 20, 2010 at 1:05 PM, Robert Kern wrote:
> Are you asking about when masked arrays are casted to ndarrays (and
> thus losing the mask information)? Most times when a function uses
> asarray() or array() to explicitly cast the inputs to an ndarray. The
> reason that np.mean() gives the
On Sun, Sep 19, 2010 at 12:19, Gökhan Sever wrote:
> Hello,
> Consider these two sets of container arrays --one defined as usual np array
> the others as ma arrays:
> all_measured = np.ma.zeros((16, 18))
> all_predicted = np.ma.zeros((16, 18))
> all_measured2 = np.zeros((16, 18))
>
Hello,
Consider these two sets of container arrays --one defined as usual np array
the others as ma arrays:
all_measured = np.ma.zeros((16, 18))
all_predicted = np.ma.zeros((16, 18))
all_measured2 = np.zeros((16, 18))
all_predicted2 = np.zeros((16, 18))
I do a computation within
