# Python Plots

> **TL;DR**
> `File | Settings | Tools | Python Plots` for Windows and Linux
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> `IntelliJ IDEA | Settings | Tools | Python Plots` for macOS
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> `Ctrl+Alt+S` (Windows), `⌘ Comma` (macOS), `⌘ Comma` (IntelliJ IDEA Classic (macOS)), `⌘ Comma` (macOS System Shortcuts), `Ctrl+Alt+S` (XWin), `Ctrl+Alt+S` (GNOME), `Ctrl+Alt+S` (KDE), `Ctrl+Alt+S` (Emacs), `Ctrl+Alt+S` (Sublime Text), `⌘ Comma` (Sublime Text (macOS)), `Ctrl+Alt+S` (NetBeans), `Ctrl+Alt+S` (Visual Studio), `⌘ Comma` (Visual Studio (macOS)), `Ctrl+Alt+S` (Eclipse), `⌘ Comma` (Eclipse (macOS)) ![](https://resources.jetbrains.com.cn/help/img/idea/2026.2/app.expui.general.settings.svg)

> **Warning:**
> The following is only valid when Python and Python Community Edition plugins are [installed and enabled](managing-plugins.html)!

This page describes the settings that you can configure for Python Plots.For more information about data visualization using Python, refer to [Scientific Features](matplotlib-support.html).

| Item | Description |
| --- | --- |
| Show plots in tool window | Select this checkbox to show generated plots in the Plots tool window. |
| Use 'mpld3' interactive plots for Matplotlib | Select this checkbox to enable interactive Matplotlib plots with the mpld3 package. |
| Max plots count | Set the maximum number of plots to show in the Plots tool window. |
| Suggest install 'kaleido' for plotly | Select this checkbox to show a suggestion to install the kaleido  package when rendering Plotly charts. |
| Suggest install 'mpld3' for interactive matplotlib plots | Select this checkbox to show a suggestion to install the mpld3 package when rendering interactive Matplotlib charts. |
| Suggest install 'pillow' for debug image viewer | Select this checkbox to show a suggestion to install the pillow package when using the debug image viewer. |

## See also

### Reference

[Scientific features](matplotlib-support.html)