A faithful port of ggplot2 to Python and Kotlin.
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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.
JetBrains Plugins JetBrains plugins
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:
Mostly a maintenance release.
Nevertheless, few new features and improvements were added as well, among them:
geom_text(), geom_label()geom_imshow() is now supporting cmap and extent parameters (also, norm, vmin and vmax were fixed)You will find more details about fixes and improvements in the CHANGELOG.md.
theme_bw()See: example notebook.
Theme flavor offers an easy way to change the colors of all elements in a theme to match a specific color scheme.
In this release, we have added the following flavors:
See: example notebook.
element_text()size, family
(example notebook)hjust, vjust for plot title, subtitle, caption, legend and axis titles
(example notebook)margin for plot title, subtitle, caption, axis titles and tick labels
(example notebook)geom_label().
See: example notebook.
Viridis color scales: scale_color_viridis(), scale_fill_viridis().
Supported colormaps:
See: example notebook.
See CHANGELOG.md for other changes and fixes.
Code and documentation released under the MIT license. Copyright © 2019-2022, JetBrains s.r.o.
*Note that all licence references and agreements mentioned in the Lets-Plot README section above
are relevant to that project's source code only.
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