# report\_run\_with\_results

<pre class="language-python"><code class="lang-python">dbnl.report_run_with_results(
    project: <a data-footnote-ref href="#user-content-fn-1">Project</a>,
    column_data: pd.DataFrame,
    scalar_data: Optional[Union[dict[str, Any], pd.DataFrame]] = None
    display_name: Optional[str] = None,
    row_id: Optional[list[str]] = None,
    run_config_id: Optional[str] = None,
    metadata: Optional[dict[str, str]] = None,
) -> Run:
</code></pre>

## Parameters

| Arguments       | Description                                                                                                                                                                                                                                                                                                                     |
| --------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `project`       | The dbnl [Project](https://docs.dbnl.com/v0.20.x/using-distributional/python-sdk/sdk-objects/project) that this Run will be associated with.                                                                                                                                                                                    |
| `column_data`   | A [pandas DataFrame](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html) with all the column results to report to dbnl. If `run_config_id` is provided, the columns of the DataFrame must match the `columns` described in the [RunConfig](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html). |
| `scalar_data`   | A dict or pandas DataFrame with all the scalar results to report to dbnl.  If `run_config_id` is provided, the key of the dict must match the `scalars` described in the [RunConfig](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html).                                                                       |
| `display_name`  | An optional display name for the Run. Display names do not have to be unique.                                                                                                                                                                                                                                                   |
| `row_id`        | An optional list of the column names that can be used as unique identifiers.                                                                                                                                                                                                                                                    |
| `run_config_id` | ID of the RunConfig to use for the Run, defaults to None. If provided, the RunConfig is used as is and the results are validated against it. If not provided, a new Run Config is inferred from the `column_data`.                                                                                                              |
| `metadata`      | Any additional key-value pairs information the user wants to track.                                                                                                                                                                                                                                                             |

## Returns

| Type                                                                                 | Description                            |
| ------------------------------------------------------------------------------------ | -------------------------------------- |
| [Run](https://docs.dbnl.com/v0.20.x/using-distributional/python-sdk/sdk-objects/run) | The closed Run with the uploaded data. |

## Examples

```python
import dbnl
import pandas as pd
dbnl.login()


proj = dbnl.get_or_create_project(name="test_p1")
test_data = pd.DataFrame({"error": [0.11, 0.33, 0.52, 0.24]})

run = dbnl.report_run_with_results(
    project=proj,
    column_data=test_data,
    row_id=["idx"],
)
```

[^1]: [Project](https://docs.dbnl.com/v0.20.x/using-distributional/python-sdk/sdk-objects/project)


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