statistics — Mathematical Statistics Functions

The statistics module provides functions to calculating mathematical statistics of numeric (Real-valued) data.

import statistics

Averages and Measures of Central Location

import statistics

data = [1, 2, 2, 3, 4, 7, 9]

# Mean (Average)
print(statistics.mean(data))   # 4.0

# Median (Middle value)
print(statistics.median(data)) # 3

# Mode (Most common value)
print(statistics.mode(data))   # 2

Measures of Spread

import statistics

data = [1, 2, 2, 3, 4, 7, 9]

# Population Variance
print(statistics.pvariance(data))

# Standard Deviation
# Measures the amount of variation or dispersion of a set of values.
print(statistics.stdev(data))

API Reference

Averages

Function	Description
`statistics.mean(data)`	Arithmetic mean ("average") of data.
`statistics.median(data)`	Median (middle value) of data.
`statistics.median_low(data)`	Low median of data.
`statistics.median_high(data)`	High median of data.
`statistics.mode(data)`	Single most common value of discrete or nominal data.
`statistics.multimode(data)`	List of the most common values (handles ties).
`statistics.quantiles(data, *, n=4)`	Divide data into `n` continuous intervals with equal probability.

Measures of Spread

Function	Description
`statistics.stdev(data)`	Sample standard deviation of data.
`statistics.variance(data)`	Sample variance of data.
`statistics.pstdev(data)`	Population standard deviation of data.
`statistics.pvariance(data)`	Population variance of data.