AutoSkill 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.

install

source · Clone the upstream repo

git clone https://github.com/ECNU-ICALK/AutoSkill

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt4_8/custom-python-dataframe-implementation" ~/.claude/skills/ecnu-icalk-autoskill-custom-python-dataframe-implementation && rm -rf "$T"

manifest: SkillBank/ConvSkill/english_gpt4_8/custom-python-dataframe-implementation/SKILL.md

source content

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

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 CSV-formatted string of those columns with an index.
  - ```
  loc(self, row_name)
```
  : Retrieve a row by index label.
- ```
iteritems(self)
```
    : Iterate over columns.
  - ```
  iterrows(self)
```
  : Iterate over rows.
- ```
as_type(self, dtype, col_name)
```
    : Convert data types.
  - ```
  drop(self, col_name)
```
  : Remove a column.
- ```
mean(self)
```
    : Calculate mean of columns.
  - ```
  __repr__(self)
```
  : Return a CSV-formatted string of the entire DataFrame.
Output Formatting:
- String representations (from
```
__repr__
```
  and list-based
```
__getitem__
```
  ) must be comma-separated values.
- The first column header must be an empty string (e.g.,
```
",Col1,Col2"
```
  ).
- The first column of data rows must be the row index (integer).
- Ensure tuple/list concatenation is handled correctly in
```
__repr__
```
  (e.g.,
```
("",) + self.columns
```
  ).

Anti-Patterns

Do not use pandas or external libraries.
Do not assume
```
self.columns
```
is always a list; handle tuples.
Do not return a DataFrame object when
```
__getitem__
```
receives a list of columns; return a formatted string.

Triggers

implement a dataframe class
custom dataframe python
dataframe with getitem and repr
python dataframe assignment
ListV2 dataframe