I upgraded my numpy to 1.4.0.dev7375 and scipy to 0.8.0.dev5920. After doing so
I get a segfault upon calling the plot command (see below)
I guess I need to compile from source but I'm not sure exactly how to do so -
are there any good step-by-step instructions out there?
Thanks,
Dave
Python 2.5.4 (r254:67916, Dec 23 2008, 15:10:54) [MSC v.1310 32 bit (Intel)]
Type "copyright", "credits" or "license" for more information.
IPython 0.10 -- An enhanced Interactive Python.
? -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help -> Python's own help system.
object? -> Details about 'object'. ?object also works, ?? prints more.
*** Pasting of code with ">>>" or "..." has been enabled.
In [2]: from numpy import *
In [3]: from pylab import *
In [4]: import numpy; numpy.__version__
Out[4]: '1.4.0.dev7375'
I upgraded my numpy to 1.4.0.dev7375 and scipy to 0.8.0.dev5920. After doing so
I get a segfault upon calling the plot command (see below)
I guess I need to compile from source but I'm not sure exactly how to do so -
are there any good step-by-step instructions out there?
Thanks,
Dave
Python 2.5.4 (r254:67916, Dec 23 2008, 15:10:54) [MSC v.1310 32 bit (Intel)]
Type "copyright", "credits" or "license" for more information.
IPython 0.10 -- An enhanced Interactive Python.
? -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help -> Python's own help system.
object? -> Details about 'object'. ?object also works, ?? prints more.
*** Pasting of code with ">>>" or "..." has been enabled.
In [2]: from numpy import *
In [3]: from pylab import *
In [4]: import numpy; numpy.__version__
Out[4]: '1.4.0.dev7375'
In [5]: plot(randn(100))
What happens if you simply do
x = randn(100)
or
plot([1,2,3,2,1])
?
My guess is that you are seeing a numpy installation problem, not a matplotlib problem (that is, I expect the first trial above to fail and the second to succeed), and that the problem may be that you did not delete the build directory before rebuilding numpy from source. Distutils often fails to rebuild components that need to be recompiled after a change to the source, so the build and install appear to work, but the resulting numpy (or matplotlib, for that matter) does not.