Learn Python – Python statistics module- Basic and advance

Python data module provides the functions to mathematical data of numeric data. There are some popular statistical features defined in this module.

mean() function

The mean() feature is used to calculate the arithmetic imply of the numbers in the list.

Example

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)  

Output:

Mean is : 4.857142857142857

median() function

The median() characteristic is used to return the center cost of the numeric facts in the list.

Example

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)))  

Output:

Median of data-set is : 4.5

mode() function

The mode() characteristic returns the most common information that takes place in the list.

Example

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)))  

Output:

Calculated Mode 2

stdev() function

The stdev() function is used to calculate the popular deviation on a given sample which is available in the form of the list.

Example

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)))   

Output:

Standard Deviation of sample is 1.5811388300841898

median_low()

The median_low function is used to return the low median of numeric information in the list.

Example

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)))  

Output:

Low median of the data-set is 5

median_high()

The median_high characteristic is used to return the high median of numeric information in the list.

Example

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)))  

Output:

High median of the data-set is 6