Matplotlib Fundamentals | Stack Charts
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In this video, you’ll learn how to create and customize stackplots (area plots) using Matplotlib in Python. We’ll walk you through importing libraries, preparing data for multiple categories, plotting cumulative data changes over time, and customizing your charts with colors, labels, and legends. By the end, you’ll be able to visualize trends and breakdowns for any dataset using stackplots.
To start learning without installing Python locally, use Google Colab.
Introduction to Google Colab: • Google Colab Basics
Create a new Google Colab Notebook: https://colab.research.google.com/#cr...
Table of Contents:
0:00 Introduction to Stackplots and Area Plots
0:14 Why use stackplots for cumulative data and trends
0:23 Importing Matplotlib and setting a plotting style
0:55 Overview of stackplot effectiveness and example use case
1:07 Preparing x and y data for multiple categories
2:30 Plotting your first stackplot in Matplotlib
3:04 Adding a chart title and axis labels
3:47 Reviewing the basic stackplot
4:09 Adding labels and a legend for clarity
5:06 Customizing stackplot colors
6:06 Finalizing your customized area plot
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