Hi,
I am running the same code on Ubuntu 10.04 and MacOS 10.7 with different
results.
On Ubuntu, it reads a dataset from a .mat Matlab file,
and then tries to access specific values.
On MacOS I get:
Done loading matlab data.
Traceback (most recent call last):
File "parse_proximity.py", line
On Thu, Dec 22, 2011 at 11:39 AM, Adrien wrote:
> Le 22/12/2011 17:17, josef.p...@gmail.com a écrit :
>> On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon wrote:
>>> Hello Nicola,
>>>
>>> I am not aware of a magical "one function" numpy solution (is there one
>>> numpy gurus?).
>>>
>>> I don't know
Hello NumPy list,
While experimenting with a subclass of numpy.matrix, I discovered cases
where __array_wrap__ is not called during multiplication. I'm not sure
whether this is a bug or my own misunderstanding of np.matrix &
__array_wrap__; if nothing else I thought it would be helpful to describe
O Yes You're right... It's fine now.
Merry Christmas to all!
Chao
2011/12/22 Aronne Merrelli
>
>
> On Thu, Dec 22, 2011 at 10:27 AM, Chao YUE wrote:
>
>> Dear all,
>>
>> Just a small question, how can I output different columns of ndarray in
>> different formats,
>> the manual says, "
Le 22/12/2011 17:17, josef.p...@gmail.com a écrit :
> On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon wrote:
>> Hello Nicola,
>>
>> I am not aware of a magical "one function" numpy solution (is there one
>> numpy gurus?).
>>
>> I don't know if it's optimal, but here's how I usually do similar thing
On Thu, Dec 22, 2011 at 10:27 AM, Chao YUE wrote:
> Dear all,
>
> Just a small question, how can I output different columns of ndarray in
> different formats,
> the manual says, "A single format (%10.5f), a sequence of formats, or a
> multi-format string"
> but I use
>
> np.savetxt('new.csv',data
Dear all,
Just a small question, how can I output different columns of ndarray in
different formats,
the manual says, "A single format (%10.5f), a sequence of formats, or a
multi-format string"
but I use
np.savetxt('new.csv',data,fmt=['%i4','%f6.3'])
or
np.savetxt('new.csv',data,fmt=('%i4','%f6
On Thu, Dec 22, 2011 at 11:17 AM, wrote:
> On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon wrote:
>> Hello Nicola,
>>
>> I am not aware of a magical "one function" numpy solution (is there one
>> numpy gurus?).
>>
>> I don't know if it's optimal, but here's how I usually do similar things.
>>
>>
On Thu, Dec 22, 2011 at 6:27 AM, Adrien Gaidon wrote:
> Hello Nicola,
>
> I am not aware of a magical "one function" numpy solution (is there one
> numpy gurus?).
>
> I don't know if it's optimal, but here's how I usually do similar things.
>
> I wrote a simple function that assigns points (any nu
Hello Nicola,
I am not aware of a magical "one function" numpy solution (is there one
numpy gurus?).
I don't know if it's optimal, but here's how I usually do similar things.
I wrote a simple function that assigns points (any number of dimensions) to
a regular multi-dimensional grid. It is here:
Hello,
I have a cloud on sparse points that can be described by a Nx3 array (N
is the number of points). Each point is defined by an x, y and z coordinate:
x0 y0 z0
x1 y1 z1
...
...
...
xn yn zn
I need to bin the cloud to a regular 2D array according to a desir
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