2023-06-22 13:08:26 +00:00
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---
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title: Seaborn
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---
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2023-08-15 16:00:06 +00:00
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:::tip
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If you are not already using ClearML, see [Getting Started](../getting_started/ds/ds_first_steps.md) for setup
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instructions.
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:::
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2023-06-22 13:08:26 +00:00
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[seaborn](https://seaborn.pydata.org/) is a Python library for data visualization.
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ClearML automatically captures plots created using `seaborn`. All you have to do is add two
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lines of code to your script:
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```python
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from clearml import Task
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2024-01-10 12:40:19 +00:00
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2023-06-22 13:08:26 +00:00
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task = Task.init(task_name="<task_name>", project_name="<project_name>")
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```
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This will create a [ClearML Task](../fundamentals/task.md) that captures your script's information, including Git details,
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uncommitted code, python environment, your `seaborn` plots, and more. View the seaborn plots in the [WebApp](../webapp/webapp_overview.md),
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in the experiment's **Plots** tab.
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View code example [here](https://github.com/allegroai/clearml/blob/master/examples/frameworks/matplotlib/matplotlib_example.py).
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