Finding the average of a list

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抹茶落季
抹茶落季 2020-11-22 11:07

I have to find the average of a list in Python. This is my code so far

l = [15, 18, 2, 36, 12, 78, 5, 6, 9]
print reduce(lambda x, y: x + y, l)
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  • 2020-11-22 11:34
    l = [15, 18, 2, 36, 12, 78, 5, 6, 9]
    
    l = map(float,l)
    print '%.2f' %(sum(l)/len(l))
    
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  • 2020-11-22 11:35
    numbers = [0,1,2,3]
    
    numbers[0] = input("Please enter a number")
    
    numbers[1] = input("Please enter a second number")
    
    numbers[2] = input("Please enter a third number")
    
    numbers[3] = input("Please enter a fourth number")
    
    print (numbers)
    
    print ("Finding the Avarage")
    
    avarage = int(numbers[0]) + int(numbers[1]) + int(numbers[2]) + int(numbers [3]) / 4
    
    print (avarage)
    
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  • 2020-11-22 11:36

    Why would you use reduce() for this when Python has a perfectly cromulent sum() function?

    print sum(l) / float(len(l))
    

    (The float() is necessary to force Python to do a floating-point division.)

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  • 2020-11-22 11:37
    l = [15, 18, 2, 36, 12, 78, 5, 6, 9]
    sum(l) / len(l)
    
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  • 2020-11-22 11:37

    suppose that

    x = [
        [-5.01,-5.43,1.08,0.86,-2.67,4.94,-2.51,-2.25,5.56,1.03],
        [-8.12,-3.48,-5.52,-3.78,0.63,3.29,2.09,-2.13,2.86,-3.33],
        [-3.68,-3.54,1.66,-4.11,7.39,2.08,-2.59,-6.94,-2.26,4.33]
    ]
    

    you can notice that x has dimension 3*10 if you need to get the mean to each row you can type this

    theMean = np.mean(x1,axis=1)
    

    don't forget to import numpy as np

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  • 2020-11-22 11:39

    You can use numpy.mean:

    l = [15, 18, 2, 36, 12, 78, 5, 6, 9]
    
    import numpy as np
    print(np.mean(l))
    
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