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37 lines
2.0 KiB
Markdown
37 lines
2.0 KiB
Markdown
# ApiMultiMetricColumn
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Defines a column within a table that aggregates and displays various metrics (Multi-Metric table).
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**id** | **str** | | [optional]
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**data_source** | [**MultiMetricsTableDatasource**](MultiMetricsTableDatasource.md) | | [optional]
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**metric_group** | [**MetricGroup**](MetricGroup.md) | | [optional]
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**direction** | [**DashboardMetricDirection**](DashboardMetricDirection.md) | | [optional]
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**metric** | [**DashboardMetric**](DashboardMetric.md) | | [optional]
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**filters** | **Dict[str, List[object]]** | (Optional) Specifies the filters applied to the widget. When present, the `filters` property displays. Each filter object has two properties: `filterProperty` and `filterValue`. The `filterProperty` can be values like `AGENT`, `ENDPOINT_MACHINE_ID`, `TEST`, `MONITOR`, etc. The `filterValue` represents an identifier array of the selected property. | [optional]
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**measure** | [**ApiWidgetMeasure**](ApiWidgetMeasure.md) | | [optional]
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## Example
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```python
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from thousandeyes_sdk.dashboards.models.api_multi_metric_column import ApiMultiMetricColumn
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# TODO update the JSON string below
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json = "{}"
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# create an instance of ApiMultiMetricColumn from a JSON string
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api_multi_metric_column_instance = ApiMultiMetricColumn.from_json(json)
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# print the JSON string representation of the object
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print(ApiMultiMetricColumn.to_json())
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# convert the object into a dict
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api_multi_metric_column_dict = api_multi_metric_column_instance.to_dict()
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# create an instance of ApiMultiMetricColumn from a dict
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api_multi_metric_column_from_dict = ApiMultiMetricColumn.from_dict(api_multi_metric_column_dict)
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```
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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