[BEAM-11777] Support correct kwargs in aggregation methods on DataFrame, Series

• Type: Improvement
• Status: Resolved
• Priority: P2
• Resolution: Fixed
• Fix Version/s: 2.31.0
• Component/s: dsl-dataframe, sdk-py-core
• Labels: dataframe-api
• Assignee: Brian Hulette
• Reporter: Brian Hulette
• Created: 08/Feb/21 20:26
• Updated: 17/Aug/21 15:42
• Resolved: 11/May/21 20:15

Description

{DataFrame,Series}.{all, any, max, min, prod, mean, median, sum} are all implemented via frame_base._agg_method, which just re-uses {DataFrame,Series}

.agg}. However the pandas operations have some different kwargs that are not supported by agg. Some are universal (level=, skip_na=), others are unique to each operation (numeric_only= or bool_only=).

Issue Links

• is blocked by: BEAM-12138 DataFrame API: groupby(level=) only works for level=0
• is part of: BEAM-9547 Implement all pandas operations (or raise WontImplementError)
• links to: GitHub Pull Request #14438
• links to: GitHub Pull Request #14487