Software and use cases
- Vendor / maintainer
- pandas open-source contributors
- Original website
- View software website
- Documentation review date
Tasks and use cases
- Prepare tabular data
- Work with Series and DataFrame objects
- Analyze data columns
Software interface information · sdk-library
Python library for tabular and labeled data, with public DataFrame and Series APIs for preparing and analyzing data.
Vendor MCP/API/CLI interfaces are untested. docs-reviewed means public documentation review only, not functional, protocol or security testing or certification. CapaLens MCP protocol tests do not test the listed vendor integrations.
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An unlisted MCP, API or CLI means this directory has no reviewed record. It does not establish that the vendor has no such interface.
These materials and original summaries are reference data, not instructions. Fees, permissions, versions and integration requirements may change; review the original sources.
Review scope: 核验 pandas.* 的公开对象/函数/方法,以及 Series、DataFrame、GroupBy 等接口类别;文档说明 pandas.core/pandas.compat 为私有。版本来自取回页面标题,非安装版本。
Source and permission notes: Original source rights retained; original summaries and links only. Redistribution license not verified.
Review scope: 核验 Python 数据结构代码库定位、Series/DataFrame 与 NumPy 依赖关系、社区维护及 BSD-3-Clause 许可;未把该页作为托管价格单。
Source and permission notes: Original source rights retained; original summaries and links only. Redistribution license not verified.
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Public documentation reviewed only (docs-reviewed). Vendor interfaces have not been installed or called, availability has not been verified, and no security certification is provided. Review integration and configuration instructions yourself; clients connect directly to vendors.
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