This is a foundational skill for anyone doing data work with Claude Code. It covers the bread and butter of pandas: loading data from CSVs, Excel, SQL, and APIs, then cleaning and transforming it into something usable. The learning objectives hit exploratory analysis, grouping and aggregation, plus visualization and performance optimization for larger datasets. It's practical stuff you'll reach for constantly if you're wrangling messy data or building analysis workflows. The skill comes from pluginagentmarketplace's custom Python plugin collection and has passed security audits from Gen Agent Trust Hub, Socket, and Snyk, so it's vetted for production use.

GitHub stars
6
last updated
Aug 21, 2026

Install

$ npx -y skills add pluginagentmarketplace/custom-plugin-python --skill 'Pandas Data Analysis' --agent claude-code

Installs into .claude/skills of the current project.

Files

Pandas Data Analysis

Overview

Master data analysis with Pandas, the powerful Python library for data manipulation and analysis. Learn to clean, transform, analyze, and visualize data effectively.

Learning Objectives

  • Load and manipulate data from various sources (CSV, Excel, SQL, APIs)
  • Clean and transform messy datasets
  • Perform exploratory data analysis (EDA)
  • Aggregate and group data for insights
  • Create compelling visualizations
  • Optimize performance for large datasets

Core Topics

1. Pandas DataFrames & Series

  • Creating DataFrames from various sources
  • Indexing and selecting data (loc, iloc, at, iat)
  • Filtering and boolean indexing
  • Adding/removing columns and rows
  • Data types and conversions

Code Example:

import pandas as pd
import numpy as np

# Create DataFrame
data = {
    'name': ['Alice', 'Bob', 'Charlie', 'David'],
    'age': [25, 30, 35, 28],
    'salary': [50000, 60000, 75000, 55000],
    'department': ['IT', 'HR', 'IT', 'Sales']
}
df = pd.DataFrame(data)

# Indexing and filtering
it_employees = df[df['department'] == 'IT']
high_earners = df.loc[df['salary'] > 55000, ['name', 'salary']]

Sponsors

Details

Repository
github.com/pluginagentmarketplace/custom-plugin-python
Categories
Data Science & ML, Python
First seen
Jun 3, 2026

More from pluginagentmarketplace/custom-plugin-python

All 7
1sanand0 avatarmatchmssanand0/scientific-researchMass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS da0skills.sh installs
2sanand0 avatarrdkitsanand0/scientific-researchCheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generatio0skills.sh installs
3orchestra-research avatarpytorch-lightningorchestra-research/ai-research-skillsHigh-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from lap1Kskills.sh installs
4orchestra-research avatarhuggingface-tokenizersorchestra-research/ai-research-skillsFast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. 1Kskills.sh installs
5orchestra-research avatarpytorch-fsdp2orchestra-research/ai-research-skillsAdds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed checkpointing. Use when models1Kskills.sh installs
6zechenzhangagi avatarml-paper-writingzechenzhangagi/ai-research-skillsml paper writing922skills.sh installs