Learn how to save your Python charts the right way using Matplotlib and Seaborn inside VS Code with Jupyter Notebook.
In this step-by-step tutorial, I’ll show you how to export your visuals as PNG, JPG, PDF, and even how to save your charts into a custom folder—without errors.
Whether you're a beginner in Python, Pandas, Seaborn, or just want cleaner exports for presentations, dashboards, or reports… this video will help you upgrade your data workflow instantly.
⭐ What you’ll learn in this video :
• How to use plt.savefig() the correct way
• Why your images might be saving as blank files (and how to fix it)
• How to create folders for exports in VS Code
• How to save charts with high resolution (dpi=300)
• Best practices for exporting visuals for reports and portfolios
🎓 Tools used :
Python, VS Code, Jupyter Notebook, Matplotlib, Seaborn, Pandas
FREE Python Starter Course
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📌 If you’re following my Python Data Cleaning & Analysis series, this is Video #4.
Videos in this series :
1. How to Install Python, VS Code & Jupyter Notebook (Beginner Setup 2025) (Windows): • How to Install Python, VS Code & Jupyter N...
2. Upload a CSV to Python + Clean & Visualize It (Beginner Tutorial 2025): • Upload a CSV to Python + Clean & Visualize...
3. Visualize Your Data in Python (Beginner Tutorial 2025) | Matplotlib + Seaborn Step-by-Step: • Visualize Your Data in Python (Beginner Tu...
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