On Wed, Feb 07, 2007 at 10:35:14AM +0000, Christian wrote:
> Hi,
>
> when creating an ndarray from a list, how can I force the result to be
> 2d *and* a column vector? So in case I pass a nested list, there will be no
> modification of the shape and when I pass a simple list, it will be
> converted to a 2d column vector. I can only think of a solution using 'if'
> clauses but I suppose there is a more elegant way.
One way is to sub-class ndarray:
import numpy as N
class ColumnVectorArray(N.ndarray):
def __new__(cls,data):
data = N.asarray(data).view(cls)
if len(data.shape) == 1:
data.shape = (-1,1)
return data
x = ColumnVectorArray([[1,2],[3,4],[5,6]])
print 'x ='
print x
print
y = ColumnVectorArray([1,2,3])
print 'y ='
print y
print
print 'x+y ='
print x+y
which yields:
x =
[[1 2]
[3 4]
[5 6]]
y =
[[1]
[2]
[3]]
x+y =
[[2 3]
[5 6]
[8 9]]
Cheers
Stéfan
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