title: scipy.optimize.leastsq error not an array of floats
body: <p>This is my code</p>
  
  <pre><code>import os
  import sys
  import numpy as np
  import scipy
  from scipy.optimize import leastsq
  
  
  def peval (inp_mat,p):
      m0,m1,m2,m3,m4,m5,m6,m7 = p
      out_mat = np.array(np.zeros(inp_mat.shape,dtype=np.float32))
      mid = inp_mat.shape[0]/2
      for xy in range(0,inp_mat.shape[0]):
          if (xy&lt;(inp_mat.shape[0]/2)):
              out_mat[xy] = ( (  (inp_mat[xy+mid]*m0)+(inp_mat[xy]*m1)+ m2 ) /( (inp_mat[xy+mid]*m6)+(inp_mat[xy]*m7)+1 ) )
          else:
              out_mat[xy] = ( (  (inp_mat[xy]*m3)+(inp_mat[xy-mid]*m4)+ m5 ) /( (inp_mat[xy]*m6)+(inp_mat[xy-mid]*m7)+1 ) )
      return np.array(out_mat)
  
  def residuals(p, out_mat, inp_mat):
      m0,m1,m2,m3,m4,m5,m6,m7 = p
      err=np.array(np.zeros(inp_mat.shape,dtype=np.float32))
      if (out_mat.shape == inp_mat.shape):
          for xy in range(0,inp_mat.shape[0]):
              err[xy] =  err[xy]+ (out_mat[xy] -inp_mat[xy])
          return np.array(err)
  
  
  
  
  f = open('/media/anilil/Data/Datasets/repo/txt_op/vid.txt','r')
  x = np.loadtxt(f,dtype=np.int16,comments='#',delimiter='\t')
  nof = x.shape[0]/72 # Find the number of frames
  x1 = x.reshape(-1,60,40)
  x1_1= x1[0,:,:].flatten()
  x1_2= x1[1,:,:].flatten()
  
  x= []
  y= []
  
  for xy in range(1,50,1):
      y.append(x1[xy,:,:].flatten())
      x.append(x1[xy-1,:,:].flatten())
  
  x=np.array(x,dtype=np.float32)
  y=np.array(y,dtype=np.float32)
  length =  x1_1.shape#initail guess
  p0 = np.array([1,1,1,1,1,1,1,1],dtype=np.float32)
  
  abc=leastsq(residuals, p0,args=(y,x))
  print ('Size of first matrix is '+str(x1_1.shape))
  print ('Size of first matrix is '+str(x1_2.shape))
  
  print ("Done with program")
  </code></pre>
  
  <p>I have tried adding np.array in most places with no use.
  Could someone please help me ?</p>
  
  <p>Another question here is do I give the output of the residuals() as a single value by adding all <code>errorsnp.sum(err,axis=1)</code>. or leave it the way it is ?</p>
  
  <p>When I <code>return np.sum(err,axis=1)</code> in the function <code>residuals()</code>. There is no change in the initial guess. It just remains the same.</p>
  
  <p>I.E error is for each item in the input output mapping. or a combined error overall ?</p>
  
  <p><a href="http://pastebin.com/VutTTTSM" rel="nofollow">Example data.</a></p>
  
  <h1>Output</h1>
  
  <pre><code>ValueError: object too deep for desired array
  Traceback (most recent call last):
    File "/media/anilil/Data/charm/mv_clean/.idea/nose_reduction_mpeg.py", line 49, in &lt;module&gt;
      abc=leastsq(residuals, p0,args=(y,x))
    File "/usr/lib/python2.7/dist-packages/scipy/optimize/minpack.py", line 378, in leastsq
      gtol, maxfev, epsfcn, factor, diag)
  minpack.error: Result from function call is not a proper array of floats.
  </code></pre>