lets-plot 2.5.0rc1

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 Kermel.

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 2.4.0

• Python versions

  Added Python 3.10 wheels as well as new Apple Silicon wheel for Python 3.9.

• New Plot Types

  • Quantile-Quantile (Q-Q) plot.

    • geometries:
      • geom_qq()
      • geom_qq_line()
      • geom_qq2()
      • geom_qq2_line()
    • quick Q-Q : the qq_plot() function in the bistro module.

    See: example notebook.

  • Marginal plots.

    

    See: example notebook.

• Plot Theme

  • face parameter in element_text().

    See: example notebook.

  • panel_border parameter in theme().

    See: example notebook.

  • New options for configuring tooltip appearance.

    

    See: example notebook.

• Color Scales

  scale_color_gradientn() and scale_fill_gradientn() functions.

  See: example notebook.

Change Log

See CHANGELOG.md for other changes and fixes.

License

Code and documentation released under the MIT license. Copyright © 2019-2022, JetBrains s.r.o.