Computing correlations with SciPy
John Hunter
jdhunter at ace.bsd.uchicago.edu
Thu Mar 16 16:56:00 CET 2006
>>>>> "tkpmep" == tkpmep <tkpmep at hotmail.com> writes:
tkpmep> I want to compute the correlation between two sequences X
tkpmep> and Y, and tried using SciPy to do so without success.l
tkpmep> Here's what I have, how can I correct it?
>>>> X = [1, 2, 3, 4, 5] Y = [5, 4, 3, 2, 1] import scipy
>>>> scipy.corrcoef(X,Y)
tkpmep> Traceback (most recent call last): File "<interactive
tkpmep> input>", line 1, in ? File
tkpmep> "C:\Python24\Lib\site-packages\numpy\lib\function_base.py",
tkpmep> line 671, in corrcoef d = diag(c) File
tkpmep> "C:\Python24\Lib\site-packages\numpy\lib\twodim_base.py",
tkpmep> line 80, in diag raise ValueError, "Input must be 1- or
tkpmep> 2-d." ValueError: Input must be 1- or 2-d.
>>>>
Hmm, this may be a bug in scipy. matplotlib also defines a corrcoef
function, which you may want to use until this problem gets sorted out
In [9]: matplotlib.mlab.corrcoef(X,Y)
In [10]: X = [1, 2, 3, 4, 5]
In [11]: Y = [5, 4, 3, 2, 1]
In [12]: matplotlib.mlab.corrcoef(X,Y)
Out[12]:
array([[ 1., -1.],
[-1., 1.]])
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