On Fri, Dec 2, 2011 at 18:53, Charles R Harris
wrote:
> After sleeping on this, I think an object array in this situation would be
> the better choice and wouldn't result in lost information. This might change
> the behavior of
> some functions though, so would need testing.
I tried to come up w
On Fri, Dec 2, 2011 at 8:23 AM, Thouis (Ray) Jones wrote:
> On Thu, Dec 1, 2011 at 17:39, Charles R Harris
> wrote:
> > Given that strings should be the result, this looks like a bug. It's a
> bit
> > of a corner case that probably slipped through during the recent work on
> > casting. There nee
On Thu, Dec 1, 2011 at 17:39, Charles R Harris
wrote:
> Given that strings should be the result, this looks like a bug. It's a bit
> of a corner case that probably slipped through during the recent work on
> casting. There needs to be tests for these sorts of things, so if you find
> more oddities
On 1 Dec 2011, at 21:35, Chris Barker wrote:
> On 12/1/2011 9:15 AM, Derek Homeier wrote:
> np.array((2, 12,0.001+2j), dtype='|S8')
>> array(['2', '12', '(0.001+2'], dtype='|S8')
>>
>> - notice the last value is only truncated because it had first been
>> converted into
>> a "standard" comp
On 12/1/2011 9:15 AM, Derek Homeier wrote:
np.array((2, 12,0.001+2j), dtype='|S8')
> array(['2', '12', '(0.001+2'], dtype='|S8')
>
> - notice the last value is only truncated because it had first been converted
> into
> a "standard" complex representation, so maybe the problem is already in
On 1 Dec 2011, at 17:39, Charles R Harris wrote:
> On Thu, Dec 1, 2011 at 6:52 AM, Thouis (Ray) Jones wrote:
> Is this expected behavior?
>
> >>> np.array([-345,4,2,'ABC'])
> array(['-34', '4', '2', 'ABC'], dtype='|S3')
>
>
>
> Given that strings should be the result, this looks like a bug. I
On Thu, Dec 1, 2011 at 6:52 AM, Thouis (Ray) Jones wrote:
> Is this expected behavior?
>
> >>> np.array([-345,4,2,'ABC'])
> array(['-34', '4', '2', 'ABC'], dtype='|S3')
>
>
>
Given that strings should be the result, this looks like a bug. It's a bit
of a corner case that probably slipped through
On Thu, Dec 1, 2011 at 16:29, Benjamin Root wrote:
> Does the same problem occur if -345 comes after "ABC"?
Yes.
>>> np.array(list(reversed([-345,4,2,'ABC'])))
array(['ABC', '2', '4', '-34'],
dtype='|S3')
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On Thursday, December 1, 2011, Thouis Jones wrote:
> On Thu, Dec 1, 2011 at 15:47, Pierre Haessig
wrote:
>> Le 01/12/2011 14:52, Thouis (Ray) Jones a écrit :
>>> Is this expected behavior?
>>>
>> np.array([-345,4,2,'ABC'])
>>> array(['-34', '4', '2', 'ABC'], dtype='|S3')
>>>
>>>
>> With my nu
On Thu, Dec 1, 2011 at 15:47, Pierre Haessig wrote:
> Le 01/12/2011 14:52, Thouis (Ray) Jones a écrit :
>> Is this expected behavior?
>>
> np.array([-345,4,2,'ABC'])
>> array(['-34', '4', '2', 'ABC'], dtype='|S3')
>>
>>
> With my numpy 1.5.1, I got indeed a different result:
>
> In [1]: np.arr
Le 01/12/2011 14:52, Thouis (Ray) Jones a écrit :
> Is this expected behavior?
>
np.array([-345,4,2,'ABC'])
> array(['-34', '4', '2', 'ABC'], dtype='|S3')
>
>
With my numpy 1.5.1, I got indeed a different result:
In [1]: np.array([-345,4,2,'ABC'])
Out[1]:
array(['-345', '4', '2', 'ABC'],
Is this expected behavior?
>>> np.array([-345,4,2,'ABC'])
array(['-34', '4', '2', 'ABC'], dtype='|S3')
>>> np.version.full_version
'1.6.1'
>>> np.version.git_revision
'68538b74483009c2c2d1644ef00397014f95a696'
Ray Jones
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