export-plots

You can create Dracula-themed plots by running the export_plots.py script with your Jupyter notebook or Python scripts. It applies a consistent dark theme to your visualizations and saves the generated charts to an images directory.

Yes, you can generate scatterplots, heatmaps, and dendrograms using matplotlib and seaborn. The Skill also uses scikit-learn and scipy to support clustering and analysis for these visualizations.

You do not need scikit-learn and scipy for basic plotting with matplotlib and seaborn. They are optional dependencies required only if your visualizations involve clustering and analysis tasks.

You ensure theme consistency by automating plot production through a Python script that applies a Dracula dark theme. This matches presentation backgrounds and provides visual appeal across reports and slide decks.

The best way to automate reproducible visualizations is using a script that extracts plots from Python code and applies a consistent dark theme. This streamlines generating publication-quality graphics for educational contexts.

Yes, export-plots works with Jupyter notebooks by running the export_plots.py script. It extracts and creates stylized data visualizations suitable for data science presentations and documentation.