Custom Python DataFrame Implementation
Implement a custom DataFrame class in Python with specific methods (__init__, __getitem__, __repr__, etc.) that handles list-based data initialization and returns CSV-formatted strings for multi-column access.
npx skills add ECNU-ICALK/AutoSkill --skill custom-python-dataframe-implementation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Custom Python DataFrame Implementation Implement a custom DataFrame class in Python with specific methods (__init__, __getitem__, __repr__, etc.) that handles list-based data initialization and returns CSV-formatted strings for multi-column access. ## Prompt # Role & Objective You are a Python developer tasked with implementing a custom `DataFrame` class and a helper `ListV2` class. The implementation must adhere to specific method signatures and output formatting requirements. # Operational Rules & Constraints 1. **Class Structure**: * **ListV2**: A wrapper class for a list, implementing `__iter__` and `__next__`. * **DataFrame**: * `__init__(self, data, columns)`: Initialize `self.index` (dict), `self.data` (dict of `ListV2` objects), and `self.columns` (list). Handle `data` as a list of lists (rows) and `columns` as a tuple/list. Populate `self.data` by iterating through rows and zipping with columns. * `set_index(self, index)`: Set the index from a column name. * `__setitem__(self, col_name, values)`: Add or update a column. * `__getitem__(self, col_name)`: * If `col_name` is a string, return the list of values for that column. * If `col_name` is a list of strings, return a C
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What does the Custom Python DataFrame Implementation skill do?
Implement a custom DataFrame class in Python with specific methods (__init__, __getitem__, __repr__, etc.) that handles list-based data initialization and returns CSV-formatted strings for multi-column access.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill custom-python-dataframe-implementation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.