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Common pandas and matplotlib patterns for data analysis and visualization
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| name | pandas-patterns |
| description | Common pandas and matplotlib patterns for data analysis and visualization |
Use pd.read_csv() for CSV files. Always check df.info() and df.describe() first.
Use matplotlib for bar charts, seaborn for statistical plots.
Save figures with plt.savefig("output.png", dpi=150, bbox_inches="tight").
Write a markdown summary to report.md alongside any generated charts.
