# 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``