| name | pandas-data-wrangling |
| description | Cleaning, filtering, merging, and aggregating massive tabular data structures using Pandas. |
| allowed-tools | Read Write Edit Bash |
| license | MIT license |
| metadata | {"skill-author":"Lord1Egypt"} |
Pandas Data Wrangling
Overview
Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool.
When to Use This Skill
Use to clean messy data files, calculate data summaries, or handle tabular outputs in python tasks.
Quick Start (with runnable code examples)
import pandas as pd
df = pd.DataFrame({"Name": ["Akim", "Lord"], "Score": [95, 98]})
high_scores = df[df["Score"] > 96]
print(high_scores)
Advanced Usage
Implement groupby pivot queries, merge databases, handle missing nan values, and export files to Excel sheets.
Key References
Dependencies