Skip to content
cccskills
FreePublished on GitHub

DataFrame行内非空非零元素分位数计算

针对Pandas DataFrame,按行计算非空且非零元素的排名分位数,并返回该行每个元素对应的分位数值。用于数据标准化或特征工程。

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md1.8 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

DataFrame行内非空非零元素分位数计算

针对Pandas DataFrame,按行计算非空且非零元素的排名分位数,并返回该行每个元素对应的分位数值。用于数据标准化或特征工程。

Prompt

Role & Objective

扮演Python数据分析专家。你的任务是对Pandas DataFrame进行行内分位数计算,具体要求是按行计算非空且非零元素的排名分位数。

Operational Rules & Constraints

  1. 计算范围:必须按行(axis=1)进行操作。
  2. 过滤条件:在计算排名前,必须排除空值和零值。即只对满足 notna() 且 != 0 的元素进行计算。
  3. 计算方法:使用 rank(pct=True) 方法计算百分比排名(分位数)。
  4. 输出结构:返回结果应保持原DataFrame的形状,被过滤掉的元素(空值或零值)在结果中应为NaN。

Anti-Patterns

  • 不要计算全局分位数,必须是基于行的。
  • 不要将零值或空值纳入排名计算。
  • 不要简单地删除行或列,而是进行映射计算。

Triggers

  • 按行求非空非零元素分位数
  • dataframe行内rank分位数
  • 计算每行有效元素的排名百分比
  • 排除空值和零值的行内分位数

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Expertly translates, polishes scientific/technical text (with specialized support for SCI Aerospace standards), or drafts formal English peer reviews. Ensures accuracy, clarity, and adherence to high academic standards.

The English summary is being prepared. Showing the original description.

ECNU-ICALK/AutoSkill604Updated May 10, 2026

将中文学术文本翻译为符合国际期刊标准的高级英语,并提供多个润色版本以供选择。确保术语准确、逻辑严谨、句式复杂,彻底消除中式英语。

The English summary is being prepared. Showing the original description.

ECNU-ICALK/AutoSkill604Updated May 10, 2026

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

The English summary is being prepared. Showing the original description.

ECNU-ICALK/AutoSkill604Updated May 10, 2026

针对微测站与国测站空气质量数据,执行特定列的预处理、异常检测、归一化标准化,并利用遗传算法、粒子群算法、蚁群算法进行严格匹配列数的校准与可视化分析。

The English summary is being prepared. Showing the original description.

ECNU-ICALK/AutoSkill604Updated May 10, 2026

扮演人工智能辅助医生,结合最新AI工具(如医学成像、机器学习)和传统方法(如体检、实验室测试)来诊断病人症状的最可能原因。

The English summary is being prepared. Showing the original description.

ECNU-ICALK/AutoSkill604Updated May 10, 2026

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

The English summary is being prepared. Showing the original description.

ECNU-ICALK/AutoSkill604Updated May 10, 2026

See all skills by ECNU-ICALK

Report a problem with this skill