egutierrez
9c0d24d3ef
Nuevas funciones Go con tests en tres dominios: - core: parse_cron_expr, next_cron_time, join_by_key, validate_struct_fields + tipo CronSchedule - datascience: pivot (tabla dinámica), diff_entities (comparación de entidades) - infra: http_get_json, http_post_json, http_download_file, cache_to_sqlite, cron_ticker Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
44 lines
1.4 KiB
Markdown
44 lines
1.4 KiB
Markdown
---
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name: pivot
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kind: function
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lang: go
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domain: datascience
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version: "1.0.0"
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purity: pure
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signature: "func Pivot(rows []map[string]any, index, columns, values, agg string) []map[string]any"
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description: "Pivot table sin dependencias. Agrupa por index, expande valores unicos de columns como nuevas columnas y agrega values con la funcion indicada (sum, count, mean, min, max, first, last). Valores faltantes se rellenan con 0."
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tags: [datascience, tabular, pivot, transform, aggregation, go]
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uses_functions: []
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uses_types: []
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returns: []
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returns_optional: false
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error_type: ""
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imports: []
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tested: true
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tests:
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- "Pivot basico con sum"
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- "Pivot con count y mean"
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- "Valores faltantes rellenados con 0"
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- "Una sola fila"
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- "Multiples valores por celda requieren agregacion"
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test_file_path: "functions/datascience/pivot_test.go"
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file_path: "functions/datascience/pivot.go"
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---
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## Ejemplo
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```go
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rows := []map[string]any{
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{"region": "US", "product": "A", "sales": 10},
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{"region": "US", "product": "B", "sales": 20},
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{"region": "EU", "product": "A", "sales": 15},
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}
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result := Pivot(rows, "region", "product", "sales", "sum")
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// [{"region": "US", "A": 10.0, "B": 20.0}, {"region": "EU", "A": 15.0, "B": 0}]
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```
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## Notas
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Funcion pura sin dependencias externas. Usa map[string]any para trabajar con datos JSON/SQL deserializados.
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Las agregaciones numericas (sum, mean, min, max) convierten valores a float64 via type assertion.
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