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Lets-Plot is a multiplatform plotting library built on the principles of the Grammar of Graphics.
The library' design 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"
A bridge between R (ggplot2) and Python data visualization.
To learn more see the documentation site at lets-plot.org.
Create plots in Kotlin Notebook,
Datalore, Jupyter with Kotlin Kernel
or any other notebook that supports Kotlin Kernel
.
To learn more see the Lets-Plot Kotlin API project at GitHub.
Embed Lets-Plot charts in Compose Multiplatform applications.
To learn more see the Lets-Plot Skia Frontend project at GitHub.
Embed Lets-Plot charts in JVM (Swing, JavaFX) and Kotlin/JS applications.
To learn more see the Lets-Plot Kotlin API project at GitHub.
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 example notebook.
See example notebook.
[!CAUTION]
Subscripts and superscripts are not supported in PDF and PNG exports.
See example notebook.
[!CAUTION]
pow
andpow_full
options are not supported in PDF and PNG exports.
See example notebook.
See examples: legend margins, legend key, facet strip.
See CHANGELOG.md for a full list of changes.
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 © 2019-2024, JetBrains s.r.o.
FAQs
An open source library for statistical plotting
We found that lets-plot demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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