Re: [Matplotlib-users] [SciPy-user] linear_least_squares: OverFlow error

[massimo s. <mas...@un...>]

Hi,
I upgraded today to latest numpy (0.9.8) and matplotlib (0.87.3).
I still have the same error (upgraded code in snippet):

>> ---------
>> import matplotlib.numerix as nx
>>
>> contact_x_points=nx.array(x_points[left_bound:right_bound])
>> contact_y_points=nx.array(y_points[left_bound:right_bound])
>>
>> A=nx.ones((len(contact_x_points),2))
>> A[:,0]=contact_x_points 
>> result=nx.linalg.lstsq(A,contact_y_points)
>> ---------
>>
>> ...but when I run, it crashes with:
>>
  >>    result=nx.linalg.lstsq(A, contact_y_points)
  >>  File "/usr/lib/python2.4/site-packages/numpy/linalg/linalg.py",
line >>  457, in lstsq
  >>    nlvl = max( 0, int( math.log( float(min( m,n ))/2. ) ) + 1 )
  >>  OverflowError: math range error

any hint?

m.

-- 
Massimo Sandal
University of Bologna
Department of Biochemistry "G.Moruzzi"

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