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