Efficient, checked code for your pandas data.
What it does
Guides the implementation of efficient pandas data transformations with validation and memory-conscious code.
When to use it
Use when working on pandas DataFrames, data cleaning, aggregation, merging, or time series analysis.
How to use it
It changes how the agent implements pandas solutions by requiring vectorized code, proper indexing, and data validation checks.
What you provide
- An existing project
Latest review
What you need · 2
The guidance is for pandas, with the references covering pandas 2.0+ practices.
The DataFrame reference code imports numpy for its examples.
Access · 0
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