Polars support

描述

貢獻者指南

技術棧

python

領域

databackend

議題類型

feature

難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。

3

預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。

1-2 days

活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。

fresh

清晰度議題是否清楚說明預期改動、驗收標準和下一步。

mostly clear

前置要求

Understanding of Prophet's input pipelineFamiliarity with Polars library

新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。

40

研究方向

The issue requests adding support for Polars DataFrames as input to Prophet. To start, examine how Pandas DataFrame input is currently handled in the codebase, particularly in the `Prophet` class and any data validation functions (e.g., `prophet.py`). Look for existing conversion functions or type checks. Review the comments on the issue for any maintainer feedback or suggestions. Since no PR exists, you may propose a solution that wraps or converts Polars DataFrames to Pandas internally, or directly support Polars types. Investigate the performance implications and ensure compatibility with Prophet's forecasting logic.