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.
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 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.
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.
New parameters added to the
order_by(string) - the name of the variable by which the ordering will be performed;
order(int) - the ordering direction: 1 for ascending direction and -1 for descending (default).
See CHANGELOG.md for other changes and fixes.
Code and documentation released under the MIT license. Copyright © 2019-2021, JetBrains s.r.o.