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PYTHON PROGRAM • MODULES, DATES & REGULAR EXPRESSIONS

Calculate Statistics in Python

Learn calculate statistics in python with a short, executable Python example.

Beginnerstatisticsmeanmedian

PROBLEM UNDERSTANDING

Input and expected output

Sample input
No input required
Sample output
4 3.0 3

COMPLETE PYTHON PROGRAM

Complete Python implementation

python-statistics-module.py
Open in compiler
from statistics import mean, median, mode
values = [2, 3, 3, 8]
print(mean(values), median(values), mode(values))

GUIDED CODE TOUR • NOT LIVE EXECUTION

Study the program line by line

Use the real compiler button above to run and debug with different inputs.

CURRENT STEP

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SELECTED LINE

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EXPECTED OUTPUT FOR THE SAMPLE

4 3.0 3
0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

  1. Import the required standard-library tools and prepare the sample data for calculate statistics.
  2. Apply statistics and mean to compute the required result.
  3. Display the result for calculate statistics and compare it with the documented sample output.

This example of calculate statistics computes the result directly from the prepared sample data. It demonstrates statistics, mean, and median and prints a deterministic result that can be checked against the sample output.

EFFICIENCY

Time and space complexity

Time complexity

O(n)

Auxiliary space

O(n)

DEBUGGING CHECKLIST

Common mistakes

Check this

For calculate statistics, keep the data shape and value types consistent with statistics.

Check this

Apply statistics in the same order shown by the algorithm; changing the order can change the result.

Check this

Check denominators, numeric ranges and rounding before comparing the calculated value.

Try it yourself

Practice: Run the program with the sample input, predict its output, and then test one boundary case of your own.