Published a guide on Medium today, about How to make beautiful Matplotlib plots

How to create Matplotlib trends in Python



   ‘It’s easier than you think …’

This short step by step guide is to allow anyone to create useful trends in Matplotlib


We are going to create beautiful chart, like the one below:

Matplotlib trend with three series — Final product of this guide


Here is the link to the guide:
 https://kusmat.medium.com/ebff4b0d6b7?source=friends_link&sk=51ef6ad38582764c2b706e6224b07bc2

Here is the GITHUB page with the source code:
https://github.com/kusmat/Matplotlib-charts/blob/5caf5f3f80585d1ce8aea378942114ac3fa7b568/Matplotlib%20guide.ipynb

Here is the PDF Handout:
https://github.com/kusmat/Matplotlib-charts/blob/5caf5f3f80585d1ce8aea378942114ac3fa7b568/Matplotlib%20charts%20-%20Handout.pdf

Link to full Github repository:
https://github.com/kusmat/Matplotlib-charts

Comments

pg said…
This guide is a useful introduction to creating attractive and informative trends with Python, especially for learners who want to move beyond basic plotting. The step-by-step approach makes it easier to understand how chart elements can be combined to produce polished visual results. For anyone practicing Python-based visualization, a Matplotlib Training can provide more structured practice with plotting techniques.
September 3, 2026 at 7:18 AM
pg said…
The focus on creating useful trends also highlights how visualization can make data easier to interpret and communicate. Exploring a broader Data Visualization Training path can help learners work with different chart types and presentation methods. These skills are particularly valuable when applying Python visualization to practical data science work and developing Data Science Projects for Final Year.
September 3, 2026 at 7:18 AM
Post a Comment