> For the complete documentation index, see [llms.txt](https://water-strategy.gitbook.io/waterstrategy/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://water-strategy.gitbook.io/waterstrategy/espanol/conceptos-basicos-de-modelado/recorders/numpy-array-recorders/numpy-array-level-recorder.md).

# Registrador de niveles Numpy Array

## Descripción general

Grabador para series temporales de nivel desde un *Almacenamiento* nodo.

Esta clase almacena el nivel de un nodo específico para cada paso de tiempo de una simulación. Los datos se guardan internamente mediante una vista de memoria. Se puede acceder a los datos a través del *dato* atributo o \_para\_método dataframe () \_. [API Referencia](https://pywr.github.io/pywr-docs/master/api/generated/pywr.recorders.NumpyArrayLevelRecorder.html)

## Atributos

<table><thead><tr><th width="158">Nombre</th><th width="473">Descripción</th><th>Necesario</th></tr></thead><tbody><tr><td>modelo</td><td>Pywr.Core.Model</td><td>Sí</td></tr><tr><td>nodo</td><td>Instancia de nodo para grabar</td><td>Sí</td></tr><tr><td>temporal_agg_func</td><td>Función de agregación utilizada a lo largo del tiempo al calcular un valor por escenario. Se puede usar para devolver, por ejemplo, la mediana del flujo en una simulación. Para obtener información sobre la agregación de escenarios, consulte la <em>agg_func</em> argumento de palabra clave</td><td>Sí</td></tr></tbody></table>

## Ejemplo

próximamente...

```json
{

}
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://water-strategy.gitbook.io/waterstrategy/espanol/conceptos-basicos-de-modelado/recorders/numpy-array-recorders/numpy-array-level-recorder.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
