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Matplotlibdata~15 mins

Text alignment options in Matplotlib - Mini Project: Build & Apply

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Text alignment options
📖 Scenario: You are creating a simple plot to display a message. You want to control how the text is aligned inside the plot area to make it look neat and clear.
🎯 Goal: Learn how to use horizontalalignment and verticalalignment options in matplotlib's text() function to position text inside a plot.
📋 What You'll Learn
Create a matplotlib plot
Add text with specific horizontal and vertical alignment
Display the plot with the aligned text
💡 Why This Matters
🌍 Real World
Text alignment is important in data visualization to make charts and graphs clear and easy to read.
💼 Career
Data scientists and analysts often customize text placement in plots to create professional reports and presentations.
Progress0 / 4 steps
1
Create a basic plot
Import matplotlib.pyplot as plt and create a figure and axis using plt.subplots(). Store the result in variables fig and ax.
Matplotlib
Need a hint?

Use import matplotlib.pyplot as plt to import the plotting library.

Use plt.subplots() to create a figure and axis.

2
Set up text position and alignment variables
Create variables x and y with values 0.5 and 0.5 respectively to represent the center of the plot. Also create variables h_align and v_align with values 'center' and 'center' to set horizontal and vertical alignment.
Matplotlib
Need a hint?

Set x and y to 0.5 to place text in the middle.

Set h_align and v_align to 'center' to align text in the center horizontally and vertically.

3
Add text with alignment options
Use ax.text() to add the text 'Hello, aligned text!' at position (x, y) with horizontalalignment=h_align and verticalalignment=v_align. Also set fontsize=14.
Matplotlib
Need a hint?

Use ax.text() with parameters x, y, and the text string.

Pass horizontalalignment=h_align and verticalalignment=v_align to align the text.

Set fontsize=14 for better visibility.

4
Display the plot
Use plt.show() to display the plot with the aligned text.
Matplotlib
Need a hint?

Call plt.show() to open the plot window and see the text.