egutierrez
212875ed0d
- .claude/agents/fn-orquestador/SKILL.md - .claude/commands/fn_claude.md - .claude/rules/INDEX.md - .claude/rules/cpp_apps.md - .claude/rules/ids_naming.md - CHANGELOG.md - apps/dag_engine/README.md - apps/dag_engine/api.go - apps/dag_engine/dags_migrated/example.yaml - apps/dag_engine/dags_migrated/example_lineage_tracking.yaml - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
37 lines
879 B
Markdown
37 lines
879 B
Markdown
---
|
|
name: impute
|
|
kind: function
|
|
lang: py
|
|
domain: datascience
|
|
version: "1.0.0"
|
|
purity: pure
|
|
signature: "def impute(data: list) -> list"
|
|
description: "Reemplaza None y NaN con la media de los valores validos."
|
|
tags: [imputation, missing, python, pendiente-usar, transformer]
|
|
uses_functions: []
|
|
uses_types: []
|
|
returns: []
|
|
returns_optional: false
|
|
error_type: ""
|
|
imports: [math]
|
|
params:
|
|
- name: data
|
|
desc: "lista de valores numericos con posibles None o NaN que requieren imputacion"
|
|
output: "lista de misma longitud con None y NaN reemplazados por la media de los valores validos"
|
|
tested: false
|
|
tests: []
|
|
test_file_path: ""
|
|
file_path: "python/functions/datascience/datascience.py"
|
|
---
|
|
|
|
## Ejemplo
|
|
|
|
```python
|
|
impute([1.0, None, 3.0, float('nan'), 5.0])
|
|
# [1.0, 3.0, 3.0, 3.0, 5.0]
|
|
```
|
|
|
|
## Notas
|
|
|
|
Detecta tanto None como float('nan'). Si no hay valores validos, rellena con 0.0.
|