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28 lines
1.2 KiB
Markdown
28 lines
1.2 KiB
Markdown
---
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title: Plotly Reporting
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---
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The [plotly_reporting.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/plotly_reporting.py) example
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demonstrates **ClearML**'s Plotly integration and reporting.
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Report Plotly plots in **ClearML** by calling the [`Logger.report_plotly`](../../references/sdk/logger.md#report_plotly) method, and passing a complex
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Plotly figure, using the `figure` parameter.
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In this example, the Plotly figure is created using `plotly.express.scatter` (see [Scatter Plots in Python](https://plotly.com/python/line-and-scatter/)
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in the Plotly documentation):
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# Iris dataset
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df = px.data.iris()
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# create complex plotly figure
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fig = px.scatter(df, x="sepal_width", y="sepal_length", color="species", marginal_y="rug", marginal_x="histogram")
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# report the plotly figure
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task.get_logger().report_plotly(title="iris", series="sepal", iteration=0, figure=fig)
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When the script runs, it creates an experiment named `plotly reporting`, which is associated with the examples project.
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**ClearML** reports Plotly plots in the **ClearML Web UI** **>** experiment details **>** **RESULTS** tab **>** **PLOTS**
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sub-tab.
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