Using the numpy
library you can get various statistical values in Python. NumPy (Numerical Python) is a module consisting of multidimensional array objects and a collection of routines for processing those arrays.
On this page you learn how to apply statistical functions to a Python list. You donâ€™t need advanced statistics knowledge to follow along.
Related Course:
Complete Python Programming Course & Exercises
Five number summary
The five number summary is a set of functions in statistics that tell something about a data set. This includes the minimum, the maximum, the standard deviation, the mean and the median.
Import the numpy
module.
import numpy 
You can optionally import the math module. Then create a list of numbers. In this example the list is defined manually, but of course you can load a list of numbers from excel, from a text file or another data source.
import numpy 
We can get the five number summary using the math library.
The five number summary contains: minimum, maximum, median, mean and the standard deviation.
All of these functions are implemented in the numpy module, you can either output them to the screen or store them in a variable.

The example program outputs the five number summary for the given list.
import math 
Boxplot
In statistics, a box plot or boxplot is a method to graphically show groups of numerical data through their quartiles.
Matplotlib has all kinds of plots. One of them being a function to create a boxplot. This code will create a boxplot:
import matplotlib.pyplot as plt 