PYTHON AVERAGING PROBLEM

Updated on educate 2024-03-16
4 answers
  1. Anonymous users2024-02-06

    #-*-coding:utf-8-*-

    f = open("")

    s =ls = "")

    s = ""

    for l in ls:

    ss = "\t")

    le = len(ss)

    if le > 2:

    sum = 0

    for i in range(2,le):

    sum += int(ss[i])

    print *sum / (le-2),'\t',le-2s += ss[0]+"\t"+ss[1]+"\t"+str( *sum / (le-2)) "\t" + str(le-2) +""

    f = open("","w")

    Result: cat guangzhou 4

    Guangzhou, Guangzhou, 3

    Shenzhen 7

  2. Anonymous users2024-02-05

    First, let's take a look at calculating averages.

    IPO model.

    Input: The number of calculated averages to be entered.

    Processing: Average algorithm.

    Output: Average.

    After understanding the IPO mode of the program, we open the local Python IDE tool and create a new Python file named it.

    Please click Enter a description.

    Please click Enter a description.

    Please click Enter a description.

    In the first step, the user is prompted to enter the average number of ephemerals to calculate.

    Please click to enter a description of Sell Balance**.

    The second step is to initialize the sum of sums. Note that it's a good practice to code and give an initial value when defining a variable.

    Please click Enter a description.

    In the third step, cycle through the number you want to calculate the average and calculate the value of the sum.

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    Finally, the average is calculated and output, using the formula "Sum Quantity" to calculate the average.

    Please click Enter a description.

    Once the coding is complete, remember to save it and then debug it. Press the F5 key or click "Run" -> Run Model" in the menu bar to run the program.

    Please click Enter a description.

    Please click Enter a description.

  3. Anonymous users2024-02-04

    Hello subject,** and the test screenshot is as follows:

    I hope it can help the subject, welcome to ask.

  4. Anonymous users2024-02-03

    In Python, the following rubber-bearing method can be used to calculate the average of a set of numbers:

    Use the built-in functions sum() and len() to combine:

    Use the numpy library:

    Both methods can be used to quickly average a set of numbers. The first method makes macros work with Python's built-in functions, which can be applied to any iterative object, while the second method requires the installation of the numpy library, which is suitable for more complex numerical calculations.

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