AE
Data & Repro
aeon
Aeon is a scikit-learn compatible Python toolkit for time series machine learning. It provides state-of-the-art algorithms for classificatio…
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Data & Repro
DA
data-transform
Maintainer FreedomIntelligence · Last updated April 1, 2026
This skill enables you to perform comprehensive data transformations including cleaning, normali.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/data-transform
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- This skill enables you to perform comprehensive data transformations including cleaning, normalization, reshaping, filtering, and feature engineering. Unlike cloud-hosted solutions, this skill uses standard Python data manipulation libraries (pandas, numpy, sklearn) and executes locally in your environment, making it compatible with ALL LLM providers including GPT, Gemini, Claude, DeepSeek, and Qwen.
- df = pd.read_csv('data.csv').
Source Doc
Excerpt From SKILL.md
When to Use This Skill
- Clean and preprocess raw data
- Normalize or scale numeric features
- Reshape data between wide and long formats
- Handle missing values
- Filter and subset datasets
- Merge multiple datasets
- Create new features from existing ones
- Convert data types and formats
Check for missing values
print("Missing values per column:") print(df.isnull().sum())
Remove duplicates
df_clean = df.drop_duplicates() print(f"Removed {len(df) - len(df_clean)} duplicate rows")
Use cases
- Clean and preprocess raw data.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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