AI & MACHINE LEARNING PROGRAM • LEVEL 02 — PYTHON, NUMPY & DATA

Calculate Column Means with Python

Learn calculate column means with python with a short, executable Python example.

IntermediateAxisMeanData matrix

PROBLEM UNDERSTANDING

Input and expected output

Sample input

No input required

Sample output

[3.0, 4.0]

COMPLETE PYTHON PROGRAM

Complete Python implementation

matrix = [[1, 2], [3, 4], [5, 6]]
means = [sum(column) / len(column) for column in zip(*matrix)]
print(means)

CURRENT STEP

Select Start to walk through the important lines.

SELECTED LINE

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EXPECTED OUTPUT FOR THE SAMPLE

[3.0, 4.0]

0%Step 0 of 0

PROGRAM EXPLANATION

Algorithm and explanation

Initialize the sample values used to calculate column means.
Process the data step by step using Axis and Mean.
Display the result for calculate column means and compare it with the documented sample output.

This example of calculate column means processes the sample values in a controlled iteration. It demonstrates Axis, Mean, and Data matrix 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 column means, keep the data shape and value types consistent with Axis.

Check this

Keep every dependent statement inside the correct indented Python block.

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.