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    numpy.minimum() in Python

    Last Updated : 28 Nov, 2018
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    numpy.minimum() function is used to find the element-wise minimum of array elements. It compare two arrays and returns a new array containing the element-wise minima. If one of the elements being compared is a NaN, then that element is returned. If both elements are NaNs then the first is returned.
    Syntax : numpy.minimum(arr1, arr2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, ufunc 'minimum') Parameters : arr1 : [array_like] Input array. arr2 : [array_like] Input array. out : [ndarray, optional] A location into which the result is stored.   -> If provided, it must have a shape that the inputs broadcast to.   -> If not provided or None, a freshly-allocated array is returned. **kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function. where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone. Return : [ndarray or scalar] Result. The minimum of arr1 and arr2, element-wise. This is a scalar if both arr1 and arr2 are scalars.
    Code #1 : Working Python
    # Python program explaining
    # minimum() function
    
    import numpy as geek
    in_num1 = 10
    in_num2 = 21
    
    print ("Input  number1 : ", in_num1)
    print ("Input  number2 : ", in_num2) 
      
    out_num = geek.minimum(in_num1, in_num2) 
    print ("minimum of 10 and 21 : ", out_num) 
    
    Output :
    Input  number1 :  10
    Input  number2 :  21
    minimum of 10 and 21 :  10
    
      Code #2 : Python
    # Python program explaining
    # minimum() function
    
    import numpy as geek
    
    in_arr1 = [2, 8, 125]
    in_arr2 = [3, 3, 15]
     
    print ("Input array1 : ", in_arr1) 
    print ("Input array2 : ", in_arr2)
      
    out_arr = geek.minimum(in_arr1, in_arr2) 
    print ("Output array after selecting minimum: ", out_arr) 
    
    Output :
    Input array1 :  [2, 8, 125]
    Input array2 :  [3, 3, 15]
    Output array after selecting minimum:  [ 2  3 15]
    
      Code #3 : Python
    # Python program explaining
    # minimum() function
    
    import numpy as geek
    
    in_arr1 = [geek.nan, 0, geek.nan]
    in_arr2 = [geek.nan, geek.nan, 0]
     
    print ("Input array1 : ", in_arr1) 
    print ("Input array2 : ", in_arr2)
      
    out_arr = geek.minimum(in_arr1, in_arr2) 
    print ("Output array after selecting minimum: ", out_arr) 
    
    Output :
    Input array1 :  [nan, 0, nan]
    Input array2 :  [nan, nan, 0]
    Output array after selecting minimum:  [ nan  nan  nan]
    
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    Article Tags :
    • Python
    • Python-numpy
    • Python numpy-Mathematical Function

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