eaed99e52c
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
641 B
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. |
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false |
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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.