The 
numpy.fix() is a mathematical function that rounds elements of the array to the nearest integer towards zero. The rounded values are returned as floats.
Syntax : numpy.fix(a, b = None)
Parameters : 
a : [array_like] Input array to be floated.
b : [ndarray, optional] Output array.
Return  :  The array of rounded numbers
 
Code #1 : Working
            Python3
    # Python program explaining
# fix() function
import numpy as np
in_array = [.5, 1.5, 2.5, 3.5, 4.5, 10.1]
print ("Input array : \n", in_array)
fixoff_values = np.fix(in_array)
print ("\nRounded values : \n", fixoff_values)
in_array = [.53, 1.54, .71]
print ("\nInput array : \n", in_array)
fixoff_values = np.fix(in_array)
print ("\nRounded values : \n", fixoff_values)
in_array = [.5538, 1.33354, .71445]
print ("\nInput array : \n", in_array)
fixoff_values = np.fix(in_array)
print ("\nRounded values : \n", fixoff_values)
Input array : 
 [0.5, 1.5, 2.5, 3.5, 4.5, 10.1]
Rounded values : 
 [  0.   1.   2.   3.   4.  10.]
Input array : 
 [0.53, 1.54, 0.71]
Rounded values : 
 [ 0.  1.  0.]
Input array : 
 [0.5538, 1.33354, 0.71445]
Rounded values : 
 [ 0.  1.  0.]
 
Code #2 : Working
            Python3
    # Python program explaining
# fix() function
import numpy as np
in_array = [1, 4, 7, 9, 12]
print ("Input array : \n", in_array)
fixoff_values = np.fix(in_array)
print ("\nRounded values : \n", fixoff_values)
in_array = [133, 344, 437, 449, 12]
print ("\nInput array : \n", in_array)
fixoff_values = np.fix(in_array)
print ("\nRounded values upto 2: \n", fixoff_values)
in_array = [133, 344, 437, 449, 12]
print ("\nInput array : \n", in_array)
fixoff_values = np.fix(in_array)
print ("\nRounded values upto 3: \n", fixoff_values)
Input array : 
 [1, 4, 7, 9, 12]
Rounded values : 
 [  1.   4.   7.   9.  12.]
Input array : 
 [133, 344, 437, 449, 12]
Rounded values upto 2: 
 [ 133.  344.  437.  449.   12.]
Input array : 
 [133, 344, 437, 449, 12]
Rounded values upto 3: 
 [ 133.  344.  437.  449.   12.]
 
                                
                                
                            
                                                                                
                                                            
                                                    
                                                
                                                        
                            
                        
                                                
                        
                                                                                    
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