Improve subplot size/spacing with many subplots

Improve subplot size/spacing with many subplots: A complete guide 👨‍💻

Are you struggling with generating vertically-stacked plots in matplotlib and finding that your subplots always seem to overlap? 🤔 Don't worry, we've got you covered! In this blog post, we will address this common issue and provide you with easy solutions to improve subplot size and spacing. Let's dive in! 🚀

The Problem: Overlapping Subplots 😫

So, you need to generate multiple vertically-stacked plots in matplotlib for a webpage. However, no matter how big you allow the figure to be, the subplots always seem to overlap. This can be frustrating, especially when you want to present your plots clearly and without any clutter. But fear not, we have a solution for you! 💪

The Solution: Adjusting Figure Size and Spacing 🎛️

Step 1: Import matplotlib and your data

Make sure to import the matplotlib.pyplot module and any other necessary modules for obtaining your data. This will allow you to create and customize your subplots effectively. Here's an example:

import matplotlib.pyplot as plt
import my_other_module

titles, x_lists, y_lists = my_other_module.get_data()

Step 2: Set the figure size appropriately

To ensure that your subplots have enough space and do not overlap, you need to adjust the figure size. This can be done by specifying the figsize parameter when creating the figure. Experiment with different values until you find the optimal size. For example:

fig = plt.figure(figsize=(10, 60))

Step 3: Create your subplots

Now it's time to create the subplots using the plt.subplot() function. The key is to specify the correct subplot indices and adjust the spacing accordingly. In your case, you want vertically-stacked subplots, so each subplot should have a unique index along the vertical axis. Here's an example:

for i, y_list in enumerate(y_lists):
    plt.subplot(len(titles), 1, i+1)
    plt.xlabel("Some X label")
    plt.ylabel("Some Y label")
    plt.title(titles[i])
    plt.plot(x_lists[i], y_list)

Step 4: Save and view your plots

After creating your subplots, you can save the figure using the savefig() function. Choose an appropriate file name and format (e.g., PNG, JPEG) for your needs. For example:

fig.savefig('out.png', dpi=100)

Now, when you view the saved image on your webpage, you should see your subplots properly spaced and without any overlap. 🎉

Conclusion: Enhanced Subplot Aesthetics! 🌟

By following these easy steps, you can improve subplot size and spacing for your vertically-stacked plots in matplotlib. No more overlapping subplots and cluttered visualizations. 🙌

So go ahead, give it a try, and let your data shine with clear and aesthetically pleasing subplots! 💡

If you found this guide helpful, share it with your friends and colleagues who might benefit from it. And if you have any questions or additional tips, feel free to leave a comment below. Happy plotting! 😊📈✨