I'm trying to do a simple 2nd degree polynomial fit to two arrays of 5
entries. I get a runtime error:
RuntimeError: more argument specifiers than keyword list entries (remaining
format:'|:calc_lwork.gelss') in the lstsq module inside numpy.polyfit.
Here's the code snippet:
def findPeak(self, ydex, xdex):
# take a vertical slice
vslice = []
for i in range(-1,10,1) :
vslice.append(arcImage[ydex+i][xdex])
vdex = n.where(vslice == max(vslice))
ymax = ydex -1 + vdex[0][0]
# approximate gaussian fit by parabolic fit to logs
yvalues = n.array([ymax-2, ymax-1, ymax, ymax+1, ymax+2])
svalues=n.array([arcImage[ymax-2][xdex],arcImage[ymax-1][xdex],arcImage[ymax
][xdex],arcImage[ymax+1][xdex], arcImage[ymax+2][xdex]])
avalues = n.log(svalues)
ypoly = n.polyfit(yvalues, avalues, 2)
And the traceback:
File "/Users/williamcarithers/BOSS/src/calibrationModel.py", line 345, in
findPeak
ypoly = n.polyfit(yvalues, avalues, 2)
File
"/System/Library/Frameworks/Python.framework/Versions/2.6/Extras/lib/python/
numpy/lib/polynomial.py", line 503, in polyfit
c, resids, rank, s = _lstsq(v, y, rcond)
File
"/System/Library/Frameworks/Python.framework/Versions/2.6/Extras/lib/python/
numpy/lib/polynomial.py", line 46, in _lstsq
return lstsq(X, y, rcond)
File
"/Library/Python/2.6/site-packages/scipy-0.7.1-py2.6-macosx-10.6-universal.e
gg/scipy/linalg/basic.py", line 545, in lstsq
lwork = calc_lwork.gelss(gelss.prefix,m,n,nrhs)[1]
RuntimeError: more argument specifiers than keyword list entries (remaining
format:'|:calc_lwork.gelss')
This is such a simple application of polyfit and the error occurs in the
guts of lstsq, so I'm completely stumped. Any help would be greatly
appreciated.
Thanks,
Bill Carithers
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