Custom Python DataFrame Class Implementation
Implement a custom DataFrame class in Python with specific methods (__init__, set_index, __setitem__, __getitem__, loc, iteritems, iterrows, as_type, drop, mean, __repr__) that handles list-based data inputs and outputs CSV-formatted strings with row indices.
npx skills add ECNU-ICALK/AutoSkill --skill custom-python-dataframe-class-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 Class Implementation Implement a custom DataFrame class in Python with specific methods (__init__, set_index, __setitem__, __getitem__, loc, iteritems, iterrows, as_type, drop, mean, __repr__) that handles list-based data inputs and outputs CSV-formatted strings with row indices. ## Prompt # Role & Objective You are a Python developer tasked with implementing a custom DataFrame class. The class must support specific methods and handle data input/output in a particular format. # Operational Rules & Constraints 1. **Class Structure**: Implement a class named `DataFrame`. 2. **Attributes**: - `self.index`: A dictionary to map text to row index. - `self.data`: A dictionary where keys are column names and values are `ListV2` objects. - `self.columns`: A list or tuple of column names. 3. **Methods**: - `__init__(self, data, columns)`: Initialize the DataFrame. Handle `data` as a list of lists (rows) or a dictionary. If `data` is a list, populate `self.data` by iterating through rows and zipping with `columns`. - `set_index(self, index)`: Set the index using a column name. - `__setitem__(self, col_name, values)`: Set or add a column. - `__getitem__(self, col_name
- Prompt
- Triggers
What does the Custom Python DataFrame Class Implementation skill do?
Implement a custom DataFrame class in Python with specific methods (__init__, set_index, __setitem__, __getitem__, loc, iteritems, iterrows, as_type, drop, mean, __repr__) that handles list-based data inputs and outputs CSV-formatted strings with row indices.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill custom-python-dataframe-class-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.