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 "<stdin>", line 1, in <module>
ValueError: cannot resize an array that has been referenced or is referencing
another array in this way. Use the resize function
>>> _
array([[ 1., 0., 0.],
[ 0., 1., 0.],
[ 0., 0., 1.]])
Thanks for the help,
Scott
2009/1/13 Stéfan van der Walt <[email protected]>:
> 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 <[email protected]>:
>> # I don't expect this
>>>>> x = np.eye(3)
>>>>> x
>> array([[ 1., 0., 0.],
>> [ 0., 1., 0.],
>> [ 0., 0., 1.]])
>>>>> x.resize((5,5), refcheck=True)
>> Traceback (most recent call last):
>> File "<stdin>", line 1, in <module>
>> ValueError: cannot resize an array that has been referenced or is referencing
>> another array in this way. Use the resize function
>>>>> x.resize((5,5), refcheck=False)
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