Matplotlib-Python-In-Baby-Steps

Matplotlib — Baby Steps (Interactive with Pyodide)

Learn Python plotting interactively. The editor below runs Python directly in your browser through Pyodide. Adjust, run, and visualize instantly.

Introduction

Matplotlib is a foundational library for data visualization in Python. It allows you to build charts, plots, and figures that make your data easier to understand. This tutorial helps you explore the basics step-by-step, right inside your browser without installing anything.

Editor

Edit your Python code here and click Run to render the plot below. The editor now features a light blue background to make it easy on the eyes while teaching or presenting.

# Simple starter example import matplotlib.pyplot as plt import numpy as np plt.figure() plt.plot([1, 2, 3, 4], [10, 5, 2, 8]) plt.title('Starter plot') plt.xlabel('x') plt.ylabel('y') fig = plt.gcf()

Pyodide: Loading...

Rendered Plot

When you run the code above, the output will appear here.

How to Use This Page

1. Edit the code in the editor using the large 32px font for visibility.
2. Press Ctrl + Enter or click Run to execute the code.
3. The plot generated by your code appears below the editor.
4. Modify titles, axes, or data points to experiment with visuals.
5. Try different types of plots like scatter, histograms, or bar charts.

Future Learning

After mastering the basics of Matplotlib, you can explore advanced topics such as:

• 3D plotting using mpl_toolkits.mplot3d
• Statistical visualization with Seaborn
• Interactive plots using Plotly and Bokeh
• Integrating Matplotlib in dashboards using Streamlit or Dash

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