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 have
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 = np.array(data,
On Fri, Apr 29, 2011 at 10:56 PM, Alan Gibson dyssid...@gmail.com 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 =
