Thanks for your reply.
My os is Windows XP SP3. I tried to use array(ojb, dtype=float), but it didn't
work. And I tried 'float32' as you told me. And here is the error message:
File "C:\Python26\Lib\site-packages\numpy\linalg\linalg.py", line 791, in eig
a, t, result_t = _convertarray(a) # convert to double or cdouble type
File "C:\Python26\Lib\site-packages\numpy\linalg\linalg.py", line 727, in _con
vertarray
a = _fastCT(a.astype(t))
MemoryError
Thanks.
2009-04-29
Zhenxin Zhan
发件人： David Cournapeau
发送时间： 2009-04-29 00:04:28
收件人： Discussion of Numerical Python
抄送：
主题： Re: [Numpy-discussion] MemoryError for computing eigen-vector on 10,000*10,
000 matrix
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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