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Learn how pandas named aggregation lets you assign column names directly inside a groupby .agg() call, reducing post‑hoc renaming and keeping your summarisation code clear.
A concise architecture note on applying pandas 0.25+ named aggregation in groupby operations to build reliable, maintainable data‑transformation steps.
pandas named aggregation replaces chained apply() calls and MultiIndex flattening with one declarative groupby-agg call. A worked example, the performance trade-offs, and where it can't help.
pandas
python