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fn_registry/python/functions/datascience/impute.md
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egutierrez 95959f713c feat: funciones Python para core, cybersecurity, datascience y finance
Agrega funciones Python reutilizables organizadas por dominio:
- core: composicion funcional (pipe, compose, map, filter, reduce, etc.)
- cybersecurity: analisis de amenazas y puertos
- datascience: estadisticas y deteccion de outliers
- finance: indicadores tecnicos y analisis financiero
2026-03-29 00:13:50 +01:00

641 B

name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, tested, tests, test_file_path, file_path
name kind lang domain version purity signature description tags uses_functions uses_types returns returns_optional error_type imports tested tests test_file_path file_path
impute function py datascience 1.0.0 pure def impute(data: list) -> list Reemplaza None y NaN con la media de los valores validos.
imputation
missing
python
false
math
false
python/functions/datascience/datascience.py

Ejemplo

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.