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priteshgohil/mean_calculate_performance.py

Created September 10, 2020 11:47
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  1. priteshgohil created this gist Sep 10, 2020.
    67 changes: 67 additions & 0 deletions mean_calculate_performance.py
    View file
    Original file line number Diff line number Diff line change
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    import time
    import statistics
    import numpy as np

    def mean_normal(list_data):
    """
    Calculate mean of python list normaly
    input: list of int or float
    output: mean value
    """
    start = time.time()
    avg = sum(list_data)/len(list_data)
    end = time.time()
    print("avg: {} & Time taken by mean_normal: {:.5f} sec".format(avg, end-start))
    return avg

    def mean_statistics(list_data):
    """
    Calculate mean of python list using statistics lib
    input: list of int or float
    output: mean value
    """
    start = time.time()
    avg = statistics.mean(list_data)
    end = time.time()
    print("avg: {} & Time taken by mean_statistics: {:.5f} sec".format(avg, end-start))
    return avg

    def mean_numpy_with_list(list_data):
    """
    Calculate mean of python list using numpy lib
    input: list of int or float
    output: mean value
    """
    start = time.time()
    avg = np.mean(list_data)
    end = time.time()
    print("avg: {} & Time taken by mean_numpy_with_list: {:.5f} sec".format(avg, end-start))
    return avg

    def mean_numpy_with_array(array_data):
    """
    Calculate mean of numpy array using numpy lib
    input: 1-d numpy array
    output: mean value
    """
    start = time.time()
    avg = np.mean(array_data)
    end = time.time()
    print("avg: {} & Time taken by mean_numpy_with_array: {:.5f} sec".format(avg, end-start))
    return avg


    if __name__ == '__main__':
    # Test with int range
    data = list(range(3000000))
    mean_normal(data)
    mean_statistics(data)
    mean_numpy_with_list(data)
    mean_numpy_with_array(np.array(data))

    # Test with float range
    data = list(np.linspace(500,1000,3000000))
    mean_normal(data)
    mean_statistics(data)
    mean_numpy_with_list(data)
    mean_numpy_with_array(np.array(data))