pandas-pro
pandas pro
What it does
- Use vectorized operations instead of loops
- Set appropriate dtypes (categorical for low-cardinality strings)
- Check memory usage with .memoryusage(deep=True)
- Handle missing values explicitly (don't silently drop)
- Use method chaining for readability
- Preserve index integrity through operations
- Validate data quality before and after transformations
Derived from the skill's own SKILL.md documentation · extracted 2026-07-23
pandas-pro FAQ
What does the pandas-pro skill do?
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets. Use vectorized operations instead of loops Set appropriate dtypes (categorical for low-cardinality strings)
How do I install pandas-pro?
Run: npx -y skills add https://github.com/jeffallan/claude-skills --skill pandas-pro --agent claude-code — the source lives at github.com/jeffallan/claude-skills.
Maintain pandas-pro?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[pandas-pro on getagentictools](https://getagentictools.com/skills/jeffallan-claude-skills-pandas-pro?ref=badge) npx agentictools info skills/jeffallan-claude-skills-pandas-pro The second line is the CLI lookup for this page — handy in READMEs and docs.
