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.
To learn more: lets-plot.org.
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.
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:
See: example notebook.
See also geom_lollipop() example below.
See: example notebook.
See: example notebook.
See: example notebook.
See CHANGELOG.md for other changes and fixes.
This project and the corresponding community are governed by the JetBrains Open Source and Community Code of Conduct. Please make sure you read it.
Code and documentation released under the MIT license. Copyright © 2019-2023, JetBrains s.r.o.