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Matplotlibdata~15 mins

Text boxes with bbox in Matplotlib - Mini Project: Build & Apply

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Text Boxes with bbox in Matplotlib
📖 Scenario: You are creating a simple plot to show some data points and want to add text labels with colored boxes around them to highlight important information.
🎯 Goal: Build a Matplotlib plot with text labels that have colored bounding boxes (bbox) around them to make the text stand out clearly.
📋 What You'll Learn
Create a plot with Matplotlib
Add text labels at specific coordinates
Use bbox parameter to add colored boxes around the text
Customize the box color and style
💡 Why This Matters
🌍 Real World
Text boxes with bounding boxes are useful in data visualization to highlight important points or annotations clearly on charts and graphs.
💼 Career
Data scientists and analysts often annotate plots to explain insights, making their visualizations easier to understand for stakeholders.
Progress0 / 4 steps
1
Create a basic plot with data points
Import matplotlib.pyplot as plt. Create two lists called x and y with values [1, 2, 3] and [4, 5, 6] respectively. Plot these points using plt.scatter(x, y).
Matplotlib
Need a hint?

Use plt.scatter to plot points from lists x and y.

2
Add a text label with a bounding box
Add a text label at coordinates (1, 4) with the text 'Point A' using plt.text. Use the bbox parameter to add a box with facecolor='lightblue' and edgecolor='blue'.
Matplotlib
Need a hint?

Use plt.text(x, y, text, bbox=dict(...)) to add text with a colored box.

3
Add more text labels with different bbox styles
Add two more text labels: one at (2, 5) with text 'Point B' and a red box with facecolor='mistyrose' and edgecolor='red', and another at (3, 6) with text 'Point C' and a green box with facecolor='honeydew' and edgecolor='green'.
Matplotlib
Need a hint?

Add two plt.text calls with different bbox colors.

4
Display the plot with all text boxes
Add plt.show() to display the plot with all points and text boxes.
Matplotlib
Need a hint?

Use plt.show() to display the plot window.