Scott Sinclair gmail.com> writes:
> >>> import numpy as np
> >>> x = np.eye(3)
> >>> x
> array([[ 1., 0., 0.],
>[ 0., 1., 0.],
>[ 0., 0., 1.]])
> >>> x.resize((5,5))
> Traceback (most recent call last):
> File "", line 1, in
> ValueError: cannot resize an array that has b
I thought it was a self contained snippet ;-)
Here's another attempt that shows "_" is the cause of my confusion.
>>> import numpy as np
>>> x = np.eye(3)
>>> x
array([[ 1., 0., 0.],
[ 0., 1., 0.],
[ 0., 0., 1.]])
>>> x.resize((5,5))
Traceback (most recent call last):
File "
Hi Scott
I can't reproduce the problem below. Would you please send a
self-contained snippet?
Note that, in Python, "_" is a special variable that always points to
the last result. In IPython there are several others.
Cheers
Stéfan
2009/1/13 Scott Sinclair :
> # I don't expect this
x = n
Hi,
I'm confused by the following:
>>> import numpy as np
>>> np.__version__
'1.3.0.dev6116'
# I expect this
>>> x = np.eye(3)
>>> x.resize((5,5))
>>> x = np.eye(3)
>>> y = x
>>> x.resize((5,5))
Traceback (most recent call last):
File "", line 1, in
ValueError: cannot resize an array that has
