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  1. The mean, also known as the arithmetic average, is a measure of the central location of a set of numbers. It is calculated by summing all the numbers in the dataset and then dividing by the count of numbers. Python provides several ways to calculate the mean, including using built-in functions and libraries like statistics and numpy.

    Using the statistics Module

    The statistics module in Python provides a mean() function that can be used to calculate the mean of a list or tuple of numbers. Here is an example:

    import statistics

    # List of numbers
    data = [1, 3, 4, 5, 7, 9, 2]

    # Calculate the mean
    mean_value = statistics.mean(data)

    # Print the mean
    print("Mean is:", mean_value)
    Copied!

    Output:

    Mean is: 4.428571428571429
    Copied!

    The statistics.mean() function can handle different types of numeric data, including integers, floats, and fractions.

    Using the numpy Library

    The numpy library provides a mean() function that is more versatile and can handle multi-dimensional arrays. Here is an example:

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  2. How To Use The Mean () Function In Python?

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    • Reviews: 1

      Code sample

      counts = Counter(some_iterable_to_be_counted)
      mean = numpy.mean(counts.values())
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