lets-plot 3.2.0rc1

An open source library for statistical plotting

Lets-Plot

Lets-Plot is an open-source plotting library for statistical data.

The design of Lets-Plot library is heavily influenced by Leland Wilkinson work The Grammar of Graphics describing the deep features that underlie all statistical graphics.

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graphics, but you can create new graphics that are precisely tailored for your problem.

• Hadley Wickham, "ggplot2: Elegant Graphics for Data Analysis"

We provide ggplot2-like plotting API for Python and Kotlin users.

Lets-Plot for Python

A bridge between R (ggplot2) and Python data visualization.

Learn more about Lets-Plot for Python installation and usage at the documentation website: https://lets-plot.org.

Lets-Plot for Kotlin

Lets-Plot for Kotlin adds plotting capabilities to scientific notebooks built on the Jupyter Kotlin Kernel.

You can use this API to embed charts into Kotlin/JVM and Kotlin/JS applications as well.

Lets-Plot for Kotlin at GitHub: https://github.com/JetBrains/lets-plot-kotlin.

"Lets-Plot in SciView" plugin

Scientific mode in PyCharm and in IntelliJ IDEA provides support for interactive scientific computing and data visualization.

Lets-Plot in SciView plugin adds support for interactive plotting to IntelliJ-based IDEs with the Scientific mode enabled.

Note: The Scientific mode is NOT available in communinty editions of JetBrains IDEs.

Also read:

• Scientific mode in PyCharm
• Scientific mode in IntelliJ IDEA

What is new in 3.1.0

• gggrid()

  
  

  See: example notebook.

• joint_plot()

  
  

  See: example notebook.

• Configuring Axis Position

  
  

  See: example notebook.

• Showing Quantiles on Density Plots

  
  

  See: example notebook.

• Additional "color" aesthetics: paint_a, paint_b, paint_c.

  
  

  See: example notebook.

  Also added a set of related "color scale" functions with the "aesthetic" parameter for configuring of additional color scales.

  See example notebook demo.

• Other New Features and Improvements

  • Export to PNG file in ggsave() (requires the CairoSVG library), see example notebook.
  • angle parameter in element_text() in theme(), see example notebook.
  • geodesic parameter in geom_segment() and geom_path(), see example notebook.

Change Log

See CHANGELOG.md for other changes and fixes.

Code of Conduct

This project and the corresponding community are governed by the JetBrains Open Source and Community Code of Conduct. Please make sure you read it.

License

Code and documentation released under the MIT license. Copyright © 2019-2023, JetBrains s.r.o.