ProductPromotion
Logo

Python.py

made by https://0x3d.site

GitHub - vega/altair: Declarative statistical visualization library for Python
Declarative statistical visualization library for Python - vega/altair
Visit Site

GitHub - vega/altair: Declarative statistical visualization library for Python

GitHub - vega/altair: Declarative statistical visualization library for Python

Vega-Altair

github actions typedlib_mypy JOSS Paper PyPI - Downloads

Vega-Altair is a declarative statistical visualization library for Python. With Vega-Altair, you can spend more time understanding your data and its meaning. Vega-Altair's API is simple, friendly and consistent and built on top of the powerful Vega-Lite JSON specification. This elegant simplicity produces beautiful and effective visualizations with a minimal amount of code.

Vega-Altair was originally developed by Jake Vanderplas and Brian Granger in close collaboration with the UW Interactive Data Lab. The Vega-Altair open source project is not affiliated with Altair Engineering, Inc.

Documentation

See Vega-Altair's Documentation Site as well as the Tutorial Notebooks. You can run the notebooks directly in your browser by clicking on one of the following badges:

Binder Colab

Example

Here is an example using Vega-Altair to quickly visualize and display a dataset with the native Vega-Lite renderer in the JupyterLab:

import altair as alt

# load a simple dataset as a pandas DataFrame
from vega_datasets import data
cars = data.cars()

alt.Chart(cars).mark_point().encode(
    x='Horsepower',
    y='Miles_per_Gallon',
    color='Origin',
)

Vega-Altair Visualization

One of the unique features of Vega-Altair, inherited from Vega-Lite, is a declarative grammar of not just visualization, but interaction. With a few modifications to the example above we can create a linked histogram that is filtered based on a selection of the scatter plot.

import altair as alt
from vega_datasets import data

source = data.cars()

brush = alt.selection_interval()

points = alt.Chart(source).mark_point().encode(
    x='Horsepower',
    y='Miles_per_Gallon',
    color=alt.when(brush).then("Origin").otherwise(alt.value("lightgray"))
).add_params(
    brush
)

bars = alt.Chart(source).mark_bar().encode(
    y='Origin',
    color='Origin',
    x='count(Origin)'
).transform_filter(
    brush
)

points & bars

Vega-Altair Visualization Gif

Features

  • Carefully-designed, declarative Python API.
  • Auto-generated internal Python API that guarantees visualizations are type-checked and in full conformance with the Vega-Lite specification.
  • Display visualizations in JupyterLab, Jupyter Notebook, Visual Studio Code, on GitHub and nbviewer, and many more.
  • Export visualizations to various formats such as PNG/SVG images, stand-alone HTML pages and the Online Vega-Lite Editor.
  • Serialize visualizations as JSON files.

Installation

Vega-Altair can be installed with:

pip install altair

If you are using the conda package manager, the equivalent is:

conda install altair -c conda-forge

For full installation instructions, please see the documentation.

Getting Help

If you have a question that is not addressed in the documentation, you can post it on StackOverflow using the altair tag. For bugs and feature requests, please open a Github Issue.

Development

Hatch project Ruff pytest

You can find the instructions on how to install the package for development in the documentation.

To run the tests and linters, use

hatch test

For information on how to contribute your developments back to the Vega-Altair repository, see CONTRIBUTING.md

Citing Vega-Altair

JOSS Paper

If you use Vega-Altair in academic work, please consider citing https://joss.theoj.org/papers/10.21105/joss.01057 as

@article{VanderPlas2018,
    doi = {10.21105/joss.01057},
    url = {https://doi.org/10.21105/joss.01057},
    year = {2018},
    publisher = {The Open Journal},
    volume = {3},
    number = {32},
    pages = {1057},
    author = {Jacob VanderPlas and Brian Granger and Jeffrey Heer and Dominik Moritz and Kanit Wongsuphasawat and Arvind Satyanarayan and Eitan Lees and Ilia Timofeev and Ben Welsh and Scott Sievert},
    title = {Altair: Interactive Statistical Visualizations for Python},
    journal = {Journal of Open Source Software}
}

Please additionally consider citing the Vega-Lite project, which Vega-Altair is based on: https://dl.acm.org/doi/10.1109/TVCG.2016.2599030

@article{Satyanarayan2017,
    author={Satyanarayan, Arvind and Moritz, Dominik and Wongsuphasawat, Kanit and Heer, Jeffrey},
    title={Vega-Lite: A Grammar of Interactive Graphics},
    journal={IEEE transactions on visualization and computer graphics},
    year={2017},
    volume={23},
    number={1},
    pages={341-350},
    publisher={IEEE}
} 

Articles
to learn more about the python concepts.

Resources
which are currently available to browse on.

mail [email protected] to add your project or resources here 🔥.

FAQ's
to know more about the topic.

mail [email protected] to add your project or resources here 🔥.

Queries
or most google FAQ's about Python.

mail [email protected] to add more queries here 🔍.

More Sites
to check out once you're finished browsing here.

0x3d
https://www.0x3d.site/
0x3d is designed for aggregating information.
NodeJS
https://nodejs.0x3d.site/
NodeJS Online Directory
Cross Platform
https://cross-platform.0x3d.site/
Cross Platform Online Directory
Open Source
https://open-source.0x3d.site/
Open Source Online Directory
Analytics
https://analytics.0x3d.site/
Analytics Online Directory
JavaScript
https://javascript.0x3d.site/
JavaScript Online Directory
GoLang
https://golang.0x3d.site/
GoLang Online Directory
Python
https://python.0x3d.site/
Python Online Directory
Swift
https://swift.0x3d.site/
Swift Online Directory
Rust
https://rust.0x3d.site/
Rust Online Directory
Scala
https://scala.0x3d.site/
Scala Online Directory
Ruby
https://ruby.0x3d.site/
Ruby Online Directory
Clojure
https://clojure.0x3d.site/
Clojure Online Directory
Elixir
https://elixir.0x3d.site/
Elixir Online Directory
Elm
https://elm.0x3d.site/
Elm Online Directory
Lua
https://lua.0x3d.site/
Lua Online Directory
C Programming
https://c-programming.0x3d.site/
C Programming Online Directory
C++ Programming
https://cpp-programming.0x3d.site/
C++ Programming Online Directory
R Programming
https://r-programming.0x3d.site/
R Programming Online Directory
Perl
https://perl.0x3d.site/
Perl Online Directory
Java
https://java.0x3d.site/
Java Online Directory
Kotlin
https://kotlin.0x3d.site/
Kotlin Online Directory
PHP
https://php.0x3d.site/
PHP Online Directory
React JS
https://react.0x3d.site/
React JS Online Directory
Angular
https://angular.0x3d.site/
Angular JS Online Directory