On Fri, Sep 17, 2010 at 8:53 AM, Mayank P Jain mayan...@gmail.com wrote:
I thought about these options but what I need is excel like interface that
displays the values for each cell and one can modify and save the files.
This would be convenient way of saving large files in less space and at
On Sun, Sep 19, 2010 at 12:19, Gökhan Sever gokhanse...@gmail.com 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 =
On Mon, Sep 20, 2010 at 1:05 PM, Robert Kern robert.k...@gmail.com 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
On Mon, Sep 20, 2010 at 3:23 PM, Gökhan Sever gokhanse...@gmail.com wrote:
On Mon, Sep 20, 2010 at 1:05 PM, Robert Kern robert.k...@gmail.com 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()
On Mon, Sep 20, 2010 at 3:23 PM, Gökhan Sever gokhanse...@gmail.com wrote:
On Mon, Sep 20, 2010 at 1:05 PM, Robert Kern robert.k...@gmail.comwrote:
Are you asking about when masked arrays are casted to ndarrays (and
thus losing the mask information)? Most times when a function uses
asarray()
On Mon, Sep 20, 2010 at 3:34 PM, Benjamin Root ben.r...@ou.edu 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
On Mon, Sep 20, 2010 at 4:03 PM, Gökhan Sever gokhanse...@gmail.com wrote:
On Mon, Sep 20, 2010 at 3:34 PM, Benjamin Root ben.r...@ou.edu 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
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 lead
Hi,
I don't know if I'm overlooking something obvious, but is there a
compact way of computing the 3-array
X_{ijk} = \sum_{l} A_{il}*B_{jl}*C_{kl}
out of the 2-arrays A, B, and C?
- Hagen
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Mon, 20 Sep 2010 23:34:58 +0200, Hagen Fürstenau wrote:
I don't know if I'm overlooking something obvious, but is there a
compact way of computing the 3-array
X_{ijk} = \sum_{l} A_{il}*B_{jl}*C_{kl}
out of the 2-arrays A, B, and C?
X_{ijk} = \sum_{l} A_{il}*B_{jl}*C_{kl}
(A[:,newaxis,newaxis]*B[newaxis,:,newaxis]*C[newaxis,newaxis,:]).sum(axis=-1)
Thanks for the quick solution and practical exercise in broadcasting!
:-) However, this creates a temporary 4-array, right? Is there a way of
avoiding this memory requirement?
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