Python statistics module provides the functions to mathematical statistics of numeric data. There are some popular statistical functions defined in this module.
The mean() function is used to calculate the arithmetic mean of the numbers in the list.
import statistics # list of positive integer numbers datasets = [5, 2, 7, 4, 2, 6, 8] x = statistics.mean(datasets) # Printing the mean print("Mean is :", x)
The median() function is used to return the middle value of the numeric data in the list.
import statistics datasets = [4, -5, 6, 6, 9, 4, 5, -2] # Printing median of the # random data-set print("Median of data-set is : % s " % (statistics.median(datasets)))
The mode() function returns the most common data that occurs in the list.
import statistics # declaring a simple data-set consisting of real valued positive integers. dataset =[2, 4, 7, 7, 2, 2, 3, 6, 6, 8] # Printing out the mode of given data-set print("Calculated Mode % s" % (statistics.mode(dataset)))
The stdev() function is used to calculate the standard deviation on a given sample which is available in the form of the list.
import statistics # creating a simple data - set sample = [7, 8, 9, 10, 11] # Prints standard deviation print("Standard Deviation of sample is % s " % (statistics.stdev(sample)))
The median_low function is used to return the low median of numeric data in the list.
import statistics # simple list of a set of integers set1 = [4, 6, 2, 5, 7, 7] # Note: low median will always be a member of the data-set. # Print low median of the data-set print("Low median of data-set is % s " % (statistics.median_low(set1)))
The median_high function is used to return the high median of numeric data in the list.
import statistics # list of set of the integers dataset = [2, 1, 7, 6, 1, 9] print("High median of data-set is %s " % (statistics.median_high(dataset)))