On Jun 20, 2010, at 2:28 PM, Pauli Virtanen wrote:
> su, 2010-06-20 kello 13:56 -0400, Tony S Yu kirjoitti:
>> I came across some strange behavior when multiplying numpy floats and
>> python lists: the list is returned unchanged:
>>
>>> In [18]: np.float64(1.2) * [1, 2]
>>>
>>> Out[18]: [1, 2]
su, 2010-06-20 kello 13:56 -0400, Tony S Yu kirjoitti:
> I came across some strange behavior when multiplying numpy floats and
> python lists: the list is returned unchanged:
>
> > In [18]: np.float64(1.2) * [1, 2]
> >
> > Out[18]: [1, 2]
Probably a bug, it seems to round the result first to an
Tony S Yu wrote:
> I came across some strange behavior when multiplying numpy floats and python
> lists: the list is returned unchanged:
>
>
>> In [18]: np.float64(1.2) * [1, 2]
>>
>> Out[18]: [1, 2]
>>
>
>
Apparently the np.float64 object is cast to an int, and python's * is used:
In
I came across some strange behavior when multiplying numpy floats and python
lists: the list is returned unchanged:
> In [18]: np.float64(1.2) * [1, 2]
>
> Out[18]: [1, 2]
On the other hand, multiplying an array scalar and a python list gives the
expected answer
> In [19]: np.array(1.2) * [1,
