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- .claude/agents/fn-orquestador/SKILL.md - .claude/commands/fn_claude.md - .claude/rules/INDEX.md - .claude/rules/cpp_apps.md - .claude/rules/ids_naming.md - CHANGELOG.md - apps/dag_engine/README.md - apps/dag_engine/api.go - apps/dag_engine/dags_migrated/example.yaml - apps/dag_engine/dags_migrated/example_lineage_tracking.yaml - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
39 lines
1.1 KiB
Markdown
39 lines
1.1 KiB
Markdown
---
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name: histogram
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kind: function
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lang: py
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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: "def histogram(data: list, buckets: int) -> list"
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description: "Calcula histograma con N buckets. Retorna lista de conteos por bucket."
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tags: [statistics, histogram, python, pendiente-usar, transformer]
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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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params:
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- name: data
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desc: "lista de valores numericos para agrupar en buckets"
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- name: buckets
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desc: "numero de buckets a crear (ej: 5, 10, 100). Mayor = histograma mas detallado."
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output: "lista de conteos con len(resultado) == buckets, cada elemento es el numero de valores en ese bucket"
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tested: false
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tests: []
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test_file_path: ""
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file_path: "python/functions/datascience/datascience.py"
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---
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## Ejemplo
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```python
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histogram([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 5)
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# [2, 2, 2, 2, 2]
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```
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## Notas
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Los buckets cubren el rango [min, max] uniformemente. El ultimo bucket incluye el valor maximo. Si todos los valores son iguales, todos caen en el primer bucket.
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