[Numpy-discussion] np.asarray atleast_float64 ?

[josef.pktd at gmail.com]

On Sat, Jun 8, 2013 at 7:05 PM, Sebastian Berg
<sebastian at sipsolutions.net> wrote:
> On Sat, 2013-06-08 at 08:52 -0400, josef.pktd at gmail.com wrote:
>> Is there anything to require a numpy array with a minimum numeric dtype?
>>
>> To avoid lower precision calculations and be upwards compatible, something like
>>
>> x = np.asarray(x, >=np.float64)
>
> np.result_type(arr, np.float64) uses the usual numpy promotion rules.
> But it doesn't do the "asarray" part. Its still the closest thing I can
> think of right now.

Thank you, that looks close enough

And I will soon switch to numpy 1.6 and can read up on some old What's new.

Josef

>
> - Sebastian
>
>>
>> that converts ints, bool and lower precision to float64 but leaves
>> higher precision float and complex double alone.
>>
>>
>> Josef
>> _______________________________________________
>> NumPy-Discussion mailing list
>> NumPy-Discussion at scipy.org
>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>>
>
>
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion at scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion