Matplotlib Image Grid Visualization

Introduction

Matplotlib is a data visualization library in Python used to create static, animated, and interactive visualizations. In this tutorial, we will explore how to use the Matplotlib ImageGrid to display a collection of images in a grid format with fixed aspect ratios.

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Import required libraries

First, we need to import the required libraries. In this example, we need the matplotlib.pyplot and mpl_toolkits.axes_grid1.ImageGrid libraries.

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid

Create a figure object

Next, we create a figure object using the plt.figure() function.

fig = plt.figure()

Create the ImageGrids

We will create two ImageGrids to display our images. The first ImageGrid will have two rows and two columns, and the second ImageGrid will also have two rows and two columns.

grid1 = ImageGrid(fig, 121, (2, 2), axes_pad=0.1, aspect=True, share_all=True)
grid2 = ImageGrid(fig, 122, (2, 2), axes_pad=0.1, aspect=True, share_all=True)

Set the aspect ratio

We will set the aspect ratio of the cells in the ImageGrids to 2 using the set_aspect() function.

for i in [0, 1]:
    grid1[i].set_aspect(2)

for i in [1, 3]:
    grid2[i].set_aspect(2)

Display the ImageGrids

Finally, we use the plt.show() function to display our ImageGrids.

plt.show()

Summary

In this tutorial, we learned how to use the Matplotlib ImageGrid to display a collection of images in a grid format with fixed aspect ratios. We created two ImageGrids and set the aspect ratio of the cells in each ImageGrid to 2. We then displayed our ImageGrids using the plt.show() function.