📈 Matplotlib: Data Visualization with Python

Turn data into clear, professional charts: 10 hands-on Jupyter lessons covering every core Matplotlib plot, from line and bar charts to time series, subplots and real-time animation.

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🎯 What you'll learn

Choosing the right chart for the question is as important as drawing it. Each lesson explains when to use a plot type, then builds it step by step, from a basic version to a polished, publication-ready figure: using real datasets such as developer salaries, programming-language popularity and Bitcoin prices.

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📚 Lessons

#	Lesson	What you'll learn
1	Line charts	Plotting two numerical variables, styling lines, markers, labels, legends and grids
2	Filling area on line plots	fill_between(): shading the gap between Python and overall median salaries by age
3	Bar charts & analysing CSV data	Vertical, grouped and horizontal bars; reading a CSV and charting the most popular languages
4	Pie charts	Showing parts of a whole: labels, wedges, colours, explode, shadows and percentages
5	Stack plots	Visualising how parts contribute to a total over time
6	Histograms	Distributions, custom bins, log scale and median lines on a real-world dataset
7	Scatter plots	Relationships between two variables: size, colour maps, colour bars and log scales
8	Time series	Date formatting and plotting real Bitcoin price data over time
9	Real-time plotting	Refreshing a chart live as new random data is appended to a CSV
10	Subplots	Stateful vs. object-oriented Matplotlib; several plots on one or many figures

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🚀 Getting started

git clone https://github.com/ahmadhassan-aiops/matplotlib.git
cd matplotlib
pip install matplotlib pandas numpy jupyter
jupyter notebook

Every dataset sits next to the notebooks, so each lesson runs as soon as you clone the repo. On Google Colab, upload the notebook together with its CSV file.

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🗂️ Datasets

File	Used in
data filling area.csv	Filling area on line plots
data bar chart.csv	Bar charts & analysing CSV data
data histo.csv	Histograms
data scatter plot.csv	Scatter plots
data TIME SERIES.csv	Time series
generated by the notebook	Real-time plotting
data subplot.csv	Subplots

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🧭 Part of a complete Data Science path

Python basics → NumPy → Pandas → Matplotlib → Seaborn → Statistics → Machine Learning

• 🐍 Python for Data Science
• 🔢 NumPy
• 🐼 Pandas
• 📈 Matplotlib ← you are here

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👨‍🏫 About the author

Ahmad Hassan | AI/ML Engineer & Instructor with 5+ years of experience 1,500+ hours of live teaching, 100+ students mentored from medicine, business and engineering into data roles.

⭐ If these notebooks help you learn, please star the repo. It helps other students find it!