title: Module run inside module returns - TypeError: 'numpy.float64' object cannot be interpreted as an integer
body: <p>I am running a function inside another function in a loop and having a problem when the first module (Mod1) uses values defined in the second module (Mod2) to generate the result for the equation called Overall.</p>
  
  <p>The error returned is thus:  TypeError: 'numpy.float64' object cannot be interpreted as an integer</p>
  
  <p>The code is as follows</p>
  
  <pre><code>def Mod1(A,
         B,
         C):
      As = pd.read_csv('AProps.csv',index_col='AName')
      As = As.dropna(0,how='all',thresh=None,subset=None,inplace=False)
      AvailAs = As.index.tolist()
  
      Bs = pd.read_csv('BProps.csv',index_col='BName')
      Bs = Matrices.dropna(0,how='all',thresh=None, subset=None,inplace=False)
      AvailBs = Bs.index.tolist()
  
      Prop1_A = As['Prop1'][A]
      Prop2_A = As['Prop2'][A]
      Prop3_A = As['Prop3'][A]
      Prop4_A = Prop1_A/(2*(1+Prop3_A))
      Prop1_B = Bs['Prop1'][B]
      Prop3_B = Bs['Prop3'][B]
      Prop4 = Prop1_B/(2*(1+Prop3_B)
  
      Overall = Prop1_A*C+Prop1_B*(1-C)
  
      Return Overall
  
  
  def Mod2(NumItems):
      A_List = []
      B_List = []      
      C_List = []
  
  
      for i in range(NumItems):
  
          A_List.append(input('Choose the A_Input for item {0}:  '.format(i+1)))
          B_List.append(input('Choose the B_input for item {0}:  '.format(i+1)))
          C_List.append(input('Choose the C_input for item {0}:  '.format(i+1)))
  
  
      for i in range (NumLams):
          Func1(A_List[i],B_List[i],C_List[i])
  </code></pre>
  
  <p>Just to be clear, the intention of the code is that Mod2 creates lists of inputs which are then used within Mod1.  In Mod1 inputs A and B are used to pull outputs from csv files which are read into As and Bs.  Input C is used in functions within Mod1, ie Overall.</p>
  
  <p>When I run Mod1 manually, there are no issues at all.  But when run in conjunction with Mod2 as outlined above...</p>
  
  <p>The code in Mod1 runs through using the values Prop1_A and Prop1_B pulled from As and Bs without issue, but when it comes to run the function for Overall the aforementioned error is returned within Python.</p>
  
  <p>I am certain that the issue is with the way the value for C is interpreted, ie as a float64, but don’t understand why python might be expecting to see an integer there.</p>
  
  <p>I am using Spyder 3.2.6 as installed with the Anaconda package.</p>
  
  <p>Any help given is gratefully received.</p>