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fn_registry/python/functions/datascience/standardize.md
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egutierrez eaed99e52c 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

673 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
standardize function py datascience 1.0.0 pure def standardize(data: list) -> list Estandarizacion Z-score: transforma los datos a media=0 y desviacion=1.
statistics
normalization
python
false
math
false
python/functions/datascience/datascience.py

Ejemplo

standardize([10, 20, 30])
# [-1.2247..., 0.0, 1.2247...]

Notas

Si la desviacion estandar es cero, retorna lista de ceros. Usa desviacion poblacional (N, no N-1).