Re: [Numpy-discussion] ndarray.resize method and reference counting

I thought it was a self contained snippet ;-) Here's another attempt that shows "_" is the cause of my confusion.

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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 :

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 :

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# I don't expect this

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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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