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i compiled matplotlib on an Odroid U2 running on a exynos 4412 cpu
Linux odroid-server 3.8.13.2 #1 SMP PREEMPT Wed Jun 19 00:38:45 BRT 2013 armv7l armv7l armv7l GNU/Linux Python 2.7.4 numpy 1.8.0 matplotlib 1.3.1 pip 1.3.1 from /usr/lib/python2.7/dist-packages (python 2.7)
I get a segfault using matplotlib.mlap.PCA this occurs using n*n matrix with n >= 100
In [1]: from matplotlib.mlab import PCA In [2]: import numpy as np In [3]: n=100 In [4]: pca = PCA( np.array( [[i]*n for i in xrange(n) ] ))
Segmentation fault (core dumped)
what else should i include to help in this issue ?
The text was updated successfully, but these errors were encountered:
This is probably not matplotlib fault. I guess your numpy svd or dot function crashes, so please check that your numpy is working.
Sorry, something went wrong.
Yep you re right , segfault happens in svd
In [2]: import numpy as np In [3]: np.linalg.svd( np.array( [[i]*100 for i in xrange(100)] ) ) Segmentation fault (core dumped)
Any clue on how could i fix that ?
Closing this as it is out-of-scope for mpl. I would try SO or the numpy github issue tracker.
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i compiled matplotlib on an Odroid U2 running on a exynos 4412 cpu
Linux odroid-server 3.8.13.2 #1 SMP PREEMPT Wed Jun 19 00:38:45 BRT 2013 armv7l armv7l armv7l GNU/Linux
Python 2.7.4
numpy 1.8.0
matplotlib 1.3.1
pip 1.3.1 from /usr/lib/python2.7/dist-packages (python 2.7)
I get a segfault using matplotlib.mlap.PCA
this occurs using n*n matrix with n >= 100
In [1]: from matplotlib.mlab import PCA
In [2]: import numpy as np
In [3]: n=100
In [4]: pca = PCA( np.array( [[i]*n for i in xrange(n) ] ))
what else should i include to help in this issue ?
The text was updated successfully, but these errors were encountered: