plotapi

Crates.ioplotapi
lib.rsplotapi
version0.1.1
sourcesrc
created_at2022-09-01 00:34:03.436908
updated_at2022-12-11 08:43:25.528752
descriptionEngaging visualisations, made easy.
homepagehttps://plotapi.com
repositoryhttp://github.com/shahinrostami/plotapi_rs
max_upload_size
id656355
size7,271
Dr. Shahin Rostami (shahinrostami)

documentation

README


Plotapi

Engaging visualisations, made easy.

Key FeaturesGet AccessInstallationUsageLicense

screenshot

Key Features

  • Plotapi Chord - Illustrate inter-relationships between data.
  • Plotapi Sankey - Illustrate the flow from one set of values to another.
  • Plotapi Terminus - Illustrate distributing something out amongst recipients.
  • Plotapi Bar Fight - A beautiful take on the classic Bar Chart Race.
  • Plotapi Pie Fight - A beautiful take on the classic Pie Chart Race.
  • Plotapi Heat Map - Beautiful and interactive heat maps.
  • Plotapi Line Fight - A beautiful take on the classic Line Chart Race.
  • Plotapi Pareto Front - Illustrate non-dominated (Pareto) fronts over time.
  • Upcoming Visualisations - Access to new visualisations as they are introduced.
  • Supports Most Programming Languages - Get started with any language able to make HTTP requests.
  • First-Class Python Support - Get started with pip install plotapi
  • Jupyter Lab/Notebook + Google Colab Support - Super-charge your notebooks with inline visualisations.
  • Beautiful Themes & Fonts - Select from pre-made beautiful themes, or add your own.
  • Share or Embed Interactive HTML - Download and embed your interactive visualisations.
  • Render to PDF, SVG, or PNG - Generate high-quality output ready for print.
  • Record Animation to Video - Create social media-ready animated visualisations.

Get Access

Visit the website to get access to Plotapi.

Installation

Get up and running with Rust with the plotapi crate.

Usage

Example - Chord Pro

https://user-images.githubusercontent.com/15690380/126084021-b008b256-2a31-4106-84af-42777ea480d9.mp4

Created with Plotapi

use plotapi::params;
use plotapi::Visualisation;

fn main() {
    let names: Vec<String> = vec!["A", "B", "C", "1", "2", "3"]
        .into_iter()
        .map(String::from)
        .collect();

    let matrix: Vec<Vec<f64>> = vec![
        vec![0.0, 0.0, 0.0, 1.0, 4.0, 1.0],
        vec![0.0, 0.0, 0.0, 1.0, 3.0, 2.0],
        vec![0.0, 0.0, 0.0, 1.0, 2.0, 2.0],
        vec![1.0, 1.0, 1.0, 0.0, 0.0, 0.0],
        vec![4.0, 3.0, 2.0, 0.0, 0.0, 0.0],
        vec![1.0, 2.0, 2.0, 0.0, 0.0, 0.0],
    ];

    let colors: Vec<String> = vec![
        "#7400B8", "#5E60CE", "#5684D6", "#56CFE1", "#64DFDF", "#80FFDB",
    ]
    .into_iter()
    .map(String::from)
    .collect();

    let param = params!({
        "matrix": matrix,
       "names": names,
       "colors":  colors

    });

    Visualisation {
        api_key: "17ec2f26-076c-4110-a23a-9a02efe2d52a",
        params: param,
        endpoint: "chord",
    }
    .to_html();
}

Example - Sankey Pro

https://user-images.githubusercontent.com/15690380/126084745-712fd744-b626-429d-85f3-30b11979fe30.mp4

License

MIT


Prefer not to code? Check out the App at PlotAPI.com. Python version available.

PlotPanel

plotapi.com  ·  GitHub @shahinrostami  ·  Twitter @shahinrostami  ·  A Polyra innovation

Commit count: 0

cargo fmt