>> Is there any reason the 'axis' keyword argument doesn't default to the
>> value that corresponds to python list behaviour? That would make lot
>> of sense I think. Or retaining compatibility with python lists is not
>> really a goal of numpy.array?
>
> Not at all. It's an entirely different data
On 2009-03-28 22:35, Daniel Fetchinson wrote:
Is there any reason the 'axis' keyword argument doesn't default to the
value that corresponds to python list behaviour? That would make lot
of sense I think. Or retaining compatibility with python lists is not
really a goal of numpy.array?
Not at al
>> The fact that the following two outputs are not the same is a bug or a
>> feature of numpy?
>>
>> # I would have thought the two array outputs would be the same ##
>>
>> import numpy
>>
>> a = [ [ 0, 0 ], [ 1, 0 ], [ 1, 1 ] ]
>>
>> pythonarray = a
>> pythonarray.sort( )
>> print pythonar
On Sun, 29 Mar 2009, Daniel Fetchinson wrote:
[...]
> The fact that the following two outputs are not the same is a bug or a
> feature of numpy?
>
> # I would have thought the two array outputs would be the same ##
>
> import numpy
>
> a = [ [ 0, 0 ], [ 1, 0 ], [ 1, 1 ] ]
>
> pythonarray
Daniel Fetchinson wrote:
So far I was working under the assumption that the numpy array
implementation can be used as a drop-in replacement for native python
lists, i.e. wherever I see a list 'a' and I want to speed up my
numerical calculations I just replace it with 'numpy.array( a )' and
everyt
>> So far I was working under the assumption that the numpy array
>> implementation can be used as a drop-in replacement for native python
>> lists, i.e. wherever I see a list 'a' and I want to speed up my
>> numerical calculations I just replace it with 'numpy.array( a )' and
>> everything will wo
So far I was working under the assumption that the numpy array
implementation can be used as a drop-in replacement for native python
lists, i.e. wherever I see a list 'a' and I want to speed up my
numerical calculations I just replace it with 'numpy.array( a )' and
everything will work just as befo
