plotapi 7.0.0

Engaging visualisations, made easy.

Engaging visualisations, made easy.

Key Features • Get Access • Installation • Usage • Docs

Key Features

• PlotAPI Chord - Illustrate inter-relationships between data.
• PlotAPI SplitChord - Illustrate inter-relationships between bipartite 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.
• PlotAPI Goal rush - Illustrate progress toward a goal 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.
• Upload and Share - Upload and share your visualisations, privately or publicly.
• Render to PDF, SVG, or PNG - Generate high-quality output ready for print.
• Record Animation to MP4 Video - Create social media-ready animated visualisations.

Get Access

Visit the website to get access to PlotAPI.

Installation

Get up and running with Python with the following command.

pip install plotapi

Usage

Example - Chord Pro

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

Created with PlotAPI

Chord(matrix, names).show()

The data

matrix = [
    [0, 5, 6, 4, 7, 4],
    [5, 0, 5, 4, 6, 5],
    [6, 5, 0, 4, 5, 5],
    [4, 4, 4, 0, 5, 5],
    [7, 6, 5, 5, 0, 4],
    [4, 5, 5, 5, 4, 0],
]

names = ["Action", "Adventure", "Comedy", "Drama", "Fantasy", "Thriller"]

Example - Sankey Pro

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

Created with PlotAPI

Sankey(links).show()

The data

links = [
    {"source":"Salary", "target":"Me", "value": 40000},
    {"source":"Freelance", "target":"Me", "value": 10000},
    {"source":"Dividends", "target":"Me", "value": 6000},

    {"source":"Me", "target":"Rent", "value": 1100*12},
    {"source":"Me", "target":"Food", "value": 300*12},
    {"source":"Me", "target":"Magazine Subscription", "value": 2000},
    {"source":"Me", "target":"Personal Tax", "value": 6000},
    {"source":"Me", "target":"Investments", "value": 30000},

    {"source":"Investments", "target":"Facebook", "value": 8000},
    {"source":"Investments", "target":"Amazon", "value": 7000},
    {"source":"Investments", "target":"Apple", "value": 6000},
    {"source":"Investments", "target":"Netflix", "value": 5000},
    {"source":"Investments", "target":"Google", "value": 4000},
]

License

MIT

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