egutierrez
63a9cb5273
Datascience: aggregate_by_group, deduplicate_entities/relations, detect_drift, diff_entities/relations, extract_entities/relations_llm, hotness_score, melt, merge_graphs, pivot, build_entity/relation_schema_prompt. Finance: avellaneda_stoikov_quotes, generate_gbm_prices, generate_taker_order, hawkes_intensity + módulo finance.py. Cybersecurity: envelope_encrypt/decrypt + módulo cybersecurity.py. Pipelines: extraction_pipeline, monte_carlo_market, run_market_sim. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
1.3 KiB
1.3 KiB
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 | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| melt | function | py | datascience | 1.0.0 | pure | def melt(rows: list[dict], id_vars: list[str], value_vars: list[str] | None = None, var_name: str = 'variable', value_name: str = 'value') -> list[dict] | Inversa de pivot. Convierte columnas en filas (formato largo). Cada combinacion de id_vars + value_var genera una fila. Si value_vars es None, derrite todas las columnas no-id. |
|
false | true |
|
python/functions/datascience/melt_test.py | python/functions/datascience/melt.py |
Ejemplo
rows = [{"region": "US", "q1": 10, "q2": 20}]
melt(rows, id_vars=["region"], value_vars=["q1", "q2"])
# [{"region": "US", "variable": "q1", "value": 10},
# {"region": "US", "variable": "q2", "value": 20}]
Notas
Funcion pura sin dependencias externas. Si un campo de value_vars no existe en la fila, su valor sera None. El parametro value_vars=None es util cuando se desconoce el schema exacto.