On Sat, Apr 28, 2012 at 10:58 AM, Neal Becker wrote:
> Nathaniel Smith wrote:
>
> > On Sat, Apr 28, 2012 at 7:38 AM, Richard Hattersley
> > wrote:
> >> So, assuming numpy.ndarray became a strict subclass of some new masked
> >> array, it looks plausible that adding just a few checks to
> numpy.n
Nathaniel Smith wrote:
> On Sat, Apr 28, 2012 at 7:38 AM, Richard Hattersley
> wrote:
>> So, assuming numpy.ndarray became a strict subclass of some new masked
>> array, it looks plausible that adding just a few checks to numpy.ndarray to
>> exclude the masked superclass would prevent much downst
On Sat, Apr 28, 2012 at 7:38 AM, Richard Hattersley
wrote:
> So, assuming numpy.ndarray became a strict subclass of some new masked
> array, it looks plausible that adding just a few checks to numpy.ndarray to
> exclude the masked superclass would prevent much downstream code from
> accidentally o
On Sat, Apr 28, 2012 at 9:13 AM, Wes McKinney wrote:
> On Fri, Apr 27, 2012 at 4:57 PM, Robert Kern
> wrote:
> > On Fri, Apr 27, 2012 at 21:52, Travis Vaught wrote:
> >> With NumPy 1.6.1 (from EPD 7.2-2) I get this behavior:
> >>
> >>
> >> ~
> >>
> >> In [1]: imp
On Fri, Apr 27, 2012 at 4:57 PM, Robert Kern wrote:
> On Fri, Apr 27, 2012 at 21:52, Travis Vaught wrote:
>> With NumPy 1.6.1 (from EPD 7.2-2) I get this behavior:
>>
>>
>> ~
>>
>> In [1]: import numpy as np
>>
>> In [2]: schema = np.dtype({'names':['symbol', 'date
