Hi, your problem is interesting, could you pickle the array result, like this we could play with it? But I can tell you one thing, I am not comfortable with the way you are reshaping arrays... Though it may be correct, try using reshape and copy the result, rather than inplace changing the arrays. Cheers -- Oleksandr (Sasha) Huziy 2012/8/9 Chris Weisiger <cweisiger@msg.ucsf.edu>
I'm trying to find the indices in an array that have the lowest values, so that I can plot the corresponding values in another array. numpy.argsort would seem to be the proper approach here, but when I try it I get this error:
Traceback (most recent call last): File "../scripts/findWorstFitPixel.py", line 48, in <module> indices = np.argsort(result) File "/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/core/fromnumeric.py", line 680, in argsort return argsort(axis, kind, order) TypeError: an integer is required
The weird thing is that when I try to replicate the circumstances in the REPL (same argument shape/dtype passed to argsort), it succeeds. So there must be something subtle going on here. My input is a length-270336 1D array of float32s, each of which was generated by scipy.stats.pearsonr and almost all of which have values between .95 and 1. Any ideas what I can investigate to get this working? Unfortunately my script relies on reading a bunch of files, so I can't very well upload a working sample, but the script itself is here: http://pastebin.com/Rxcbyb8p
Thanks for any assistance!
-Chris _______________________________________________ SciPy-User mailing list SciPy-User@scipy.org http://mail.scipy.org/mailman/listinfo/scipy-user