[SciPy-User] best way to convert a structured array to a float view (again)

Vincent Davis vincent@vincentdavis....
Fri Jun 4 23:16:56 CDT 2010


2010/6/4 Stéfan van der Walt <stefan@sun.ac.za>:
> On 4 June 2010 08:55, Skipper Seabold <jsseabold@gmail.com> wrote:
>> Say I have the following arrays that I want to view as/cast to plain
>> ndarrays with float dtype
>>
>> import numpy as np
>> arr = np.array([(24,),(24,),(24,),(24,),(24,)], dtype=[("var1",int)])
>>
>> arr2 = np.array([(24,4.5),(24,4.5),(24,4.5),(24,4.5),(24,4.5)],
>> dtype=[("var1",int),("var2",float)])

How about this,
arr2 = np.column_stack((arr[col] for col in arr.dtype.names))


>
> How about
>
> arr.view(int).astype(float)
>
> Stéfan
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