> 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/zhong-guo-ren/jian-mo-ji-chu-zhi-shi/recorders/deficit-recorders/numpy-array-node-curtailment-ratio-recorder.md).

# Numpy 数组节点缩减比率记录器

## 一般描述

缩减比率的时间序列记录器 *节点*。该类存储仿真每个时间步的特定节点的缩减率。数据使用内存视图在内部保存。数据可以通过以下方式访问 *数据* 属性或 \_到\_dataframe () \_ 方法。[ ](https://pywr.github.io/pywr-docs/master/api/generated/pywr.recorders.NumpyArrayNodeCurtailmentRatioRecorder.html)[API 参考资料](https://pywr.github.io/pywr-docs/master/api/generated/pywr.recorders.NumpyArrayNodeCurtailmentRatioRecorder.html)

```
削减_比率 = 1-实际值_流量/max_flow
```

## 属性

<table><thead><tr><th width="155">姓名</th><th width="395">描述</th><th>必填项</th></tr></thead><tbody><tr><td>模型</td><td></td><td></td></tr><tr><td>节点</td><td>要记录的节点实例</td><td>可选</td></tr><tr><td>时间的_AGG_func</td><td>计算每个场景的值时随时间推移使用的聚合函数。例如，这可以用来返回仿真中的中流量。有关场景的聚合，请参阅 <em>agg_func</em> 关键字参数</td><td>可选</td></tr></tbody></table>

## 示例

即将推出...

\`\`json {

}

```
```


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