[Numpy-discussion] MemoryError for computing eigen-vector on 10, 000*10, 000 matrix
David Cournapeau
david@ar.media.kyoto-u.ac...
Tue Apr 28 23:46:22 CDT 2009
Zhenxin Zhan wrote:
> Hello,
>
> I am a new learner of Numpy. From 'numpybook', I use
> numpy.linalg.eig(A) to calculate a matrix 2,000*2,000 and it works well.
>
> But, when I calculate eigen vector for 10,000*10,000 matrix, there is
> 'MemoryError' error message in statement numpy.array(...). My laptop
> has 4GB memory.
Which OS are you using ? If your OS is 32 bits, you won't be able to use
4 Gb for you python process, and a 10000x10000 matrix is big (the matrix
alone takes ~750 Mb of memory). If that's an option, you could also try
single precision instead of the default double precision:
import numpy as np
A = np.array(...., dtype=np.float32)
np.linalg.eig(A)
cheers,
David
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