# pandas_migration

> This guide helps you migrate from pandas to Polars with comprehensive operation mappings and key differences.

- Source: https://doutorai.pt/en/components/skills__pandas-migration
- Type: Skills
- Category: Scientific
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **skill** that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

1. Install the skill (command above).
2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
3. No commands to memorize: you talk in plain language and the skill does the rest.

## Install (Claude Code)

```bash
mkdir -p .claude/skills/pandas-migration && curl -fsSL https://doutorai.pt/data/lib/skills__pandas-migration.md -o .claude/skills/pandas-migration/SKILL.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

````
# Pandas to Polars Migration Guide

This guide helps you migrate from pandas to Polars with comprehensive operation mappings and key differences.

## Core Conceptual Differences

### 1. No Index System

**Pandas:** Uses row-based indexing system
```python
df.loc[0, "column"]
df.iloc[0:5]
df.set_index("id")
```

**Polars:** Uses integer positions only
```python
df[0, "column"]  # Row position, column name
df[0:5]  # Row slice
# No set_index equivalent - use group_by instead
```

### 2. Memory Format

**Pandas:** Row-oriented NumPy arrays
**Polars:** Columnar Apache Arrow format

**Implications:

- 🔒 Full content on the Pro plan (€7.99/month) -
````

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/skills__pandas-migration