Matplotlib Fundamentals | Plotting Basics
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In this video, you’ll learn the fundamentals of creating and customizing plots using Matplotlib in Python. We start by installing and importing the library, then move on to simulate data for average monthly temperatures for two cities. You’ll see how to build a simple line plot for one city, add titles and axis labels, and combine plots to compare data for two cities. We also cover how to add legends, customize plot appearance with colors, line styles, and markers, explore built-in Matplotlib styles, and finally save your plot as an image file.
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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 Matplotlib for data visualization
0:28 Installing Matplotlib
0:53 Importing Matplotlib into your project
1:13 Creating basic line plots
1:16 Simulating average monthly temperatures for two cities
2:17 Plotting temperature data for City A
2:58 Displaying your first plot with plt.show()
3:31 Adding titles and axis labels to plots
5:03 Plotting multiple lines on the same graph
5:51 Adding a legend to differentiate multiple plots
6:46 Customizing line styles, colors, and markers
8:30 Exploring built-in Matplotlib styles
9:40 Applying different plot styles
10:29 Saving plots as image files using savefig()
11:18 Viewing the saved plot image
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