python - Fit algorithm does not accept my data -

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I am using an algorithm that decreases the Gaussian bell on my data.

If I have my data table with: 

  x = linspace (1., 100., 100) data = 17 * exp (- (x-10) / 3) ** 2)  
 Everything works fine.  
 But if I read data from a text file using  
  file = open ("d: \\ test7" .txt ") arr = [] data = [] DEAF COLUMN (MATRIX, I): Row line (in the line [i] matrix in the file]. Lineline (): number = map (float, line split)) Arr.append (number) data = Column (arr, 300) x = linspace (1., 115., 115)  
 
 I get an error message: 
   Traceback (most recent In the last call): File "readmatrix.py", line 60,  Fit (F, [ M, sigma, altitude, data) file "readmatrix.py", in line 42, in fits if x is none: x = arange (y.shape [0]) attribute: error: the 'list' object is not attribute ' As I can see, the values ​​contained in the data are correct, it looks like:  
  [0.108032, 0.86181600000000003, 1.386169, 3.2790530000000002, ...]  
 
 Is there any indication that what I am doing? 
 
 Thank you!

The fit function has a sharp edges of data (that is, a shape and ), And not a list (which is not), hence the attribute error. 

  def column (matrix, i): return numpy.asarray ([row [i] for line in matrix)
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