>> ndarray has 2 dimensions but record array has 1 dimensions
>>
>> This makes seemingly reasonable things, like using apply_along_axis()
>> over a table of data with named columns, impossible:
> each row (record) is treated as one array element, so the structured
> array is only 1d.
>
> If you ha
On Fri, Apr 29, 2011 at 10:56 PM, Alan Gibson wrote:
> Hello all,
>
> This question may seem elementary (mostly because it is), but I can't
> find documentation anywhere as to why the following are true:
>
import numpy as np
data = [(1,2,3),(4,5,6),(7,8,9)]
dt = [('a',int),('b',int)
Hello all,
This question may seem elementary (mostly because it is), but I can't
find documentation anywhere as to why the following are true:
>>> import numpy as np
>>> data = [(1,2,3),(4,5,6),(7,8,9)]
>>> dt = [('a',int),('b',int),('c',int)]
>>> normal_array = np.array(data)
>>> record_array =
