egutierrez
47fac22230
- .claude/CLAUDE.md - .claude/commands/subagentes.md - .claude/rules/INDEX.md - .mcp.json - bash/functions/cybersecurity/analyze_dns.md - bash/functions/cybersecurity/audit_http_headers.md - bash/functions/cybersecurity/audit_ssh_config.md - bash/functions/cybersecurity/check_firewall.md - bash/functions/cybersecurity/detect_suspicious_users.md - bash/functions/cybersecurity/encrypt_file.md - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
57 lines
2.1 KiB
Markdown
57 lines
2.1 KiB
Markdown
---
|
|
name: pivot
|
|
kind: function
|
|
lang: py
|
|
domain: datascience
|
|
version: "1.0.0"
|
|
purity: pure
|
|
signature: "def pivot(rows: list[dict], index: str, columns: str, values: str, agg: str = 'sum') -> list[dict]"
|
|
description: "Pivot table sin pandas. Agrupa por index, expande valores unicos de columns como nuevas columnas y agrega values con la funcion indicada (sum, count, mean, min, max, first, last)."
|
|
tags: [datascience, tabular, pivot, transform, aggregation, python, pendiente-usar]
|
|
uses_functions: []
|
|
uses_types: []
|
|
returns: []
|
|
returns_optional: false
|
|
error_type: ""
|
|
imports: ["collections"]
|
|
params:
|
|
- name: rows
|
|
desc: "lista de dicts en formato largo (ej: [{'region': 'US', 'product': 'A', 'sales': 10}, ...])"
|
|
- name: index
|
|
desc: "columna que sera el indice de filas en la tabla pivote (ej: 'region'). Valores unicos -> filas."
|
|
- name: columns
|
|
desc: "columna cuyos valores unicos se expanden como nuevas columnas (ej: 'product'). Valores unicos -> columnas."
|
|
- name: values
|
|
desc: "columna con los valores a agregar en las celdas (ej: 'sales')"
|
|
- name: agg
|
|
desc: "funcion de agregacion si hay multiples valores por celda (defecto: 'sum'). Otras: count, mean, min, max, first, last."
|
|
output: "lista de dicts en formato ancho, donde el indice y las columnas expandidas forman el schema"
|
|
tested: true
|
|
tests:
|
|
- "Pivot basico con sum"
|
|
- "Pivot con count y mean"
|
|
- "Valores faltantes rellenados con 0"
|
|
- "Una sola fila"
|
|
- "Multiples valores por celda requieren agregacion"
|
|
test_file_path: "python/functions/datascience/pivot_test.py"
|
|
file_path: "python/functions/datascience/pivot.py"
|
|
---
|
|
|
|
## Ejemplo
|
|
|
|
```python
|
|
rows = [
|
|
{"region": "US", "product": "A", "sales": 10},
|
|
{"region": "US", "product": "B", "sales": 20},
|
|
{"region": "EU", "product": "A", "sales": 15},
|
|
]
|
|
pivot(rows, index="region", columns="product", values="sales")
|
|
# [{"region": "US", "A": 10, "B": 20}, {"region": "EU", "A": 15, "B": 0}]
|
|
```
|
|
|
|
## Notas
|
|
|
|
Funcion pura sin dependencias externas (solo collections.defaultdict de stdlib).
|
|
Preserva el orden de aparicion de los valores de index y columns.
|
|
Valores numericos faltantes se rellenan con 0; no numericos con None.
|