Polars support

描述

贡献者指南

技术栈

python

领域

databackend

议题类型

feature

难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。

3

预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。

1-2 days

活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。

fresh

清晰度议题是否清楚说明期望改动、验收标准和下一步。

mostly clear

前置要求

Understanding of Prophet's input pipelineFamiliarity with Polars library

新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。

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.