# Numpy Array Node Recorder

## General Description

Recorder for timeseries information from a *Node*.

This class stores flow from a specific node for each time-step of a simulation. The data is saved internally using a memory view. The data can be accessed through the *data* attribute or *to\_dataframe()* method. [API Reference](https://pywr.github.io/pywr-docs/master/api/generated/pywr.recorders.NumpyArrayNodeRecorder.html#pywr.recorders.NumpyArrayNodeRecorder)

## Attributes

<table><thead><tr><th width="158">Name</th><th width="473">Description</th><th>Required</th></tr></thead><tbody><tr><td>model</td><td>pywr.core.Model</td><td>Yes</td></tr><tr><td>node</td><td>Node instance to record</td><td>Yes</td></tr><tr><td>temporal_agg_func</td><td>Aggregation function used over time when computing a value per scenario. This can be used to return, for example, the median flow over a simulation. For aggregation over scenarios see the <em>agg_func</em> keyword argument.</td><td>Yes</td></tr><tr><td>factor</td><td>A factor can be provided to scale the total flow (e.g. for calculating operational costs).</td><td>Yes</td></tr></tbody></table>

## Example

coming soon...

```json
{

}
```


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