bqplot is an interactive plotting framework designed for the Jupyter environment. Its graphical elements are connected to the widget system, allowing figures and controls to participate in the same interactive workflow.
The framework uses a grammar-of-graphics-inspired object model with separate components for figures, marks, scales and axes. Rather than treating a chart as a static output, bqplot makes its graphical properties available for inspection and modification.
This approach is useful for exploratory notebooks, interactive demonstrations and analytical interfaces where plotted data needs to respond to user input. Developers can combine figures with ordinary Jupyter controls and construct interactions without building a separate web application.
bqplot provides both a higher-level plotting interface and a lower-level object model for applications requiring more detailed control over visual components.
This is free and open source software.
Key Features
- Interactive plotting integrated with Jupyter widgets.
- Object model based on figures, marks, scales and axes.
- High-level pyplot-style interface for common plotting operations.
- Low-level interfaces for constructing customised visualisations.
- Line, scatter, bar, histogram, heatmap and other plot marks.
- Interactive panning and zooming within figures.
- Selection tools for identifying observations and graphical regions.
- Support for linked interactions between charts and other widgets.
- Update figure properties when underlying widget values change.
- Customisable axes, scales, legends and visual attributes.
- Plot annotations and graphical components for highlighting information.
- Use interactive controls to change displayed data and chart parameters.
- Support financial and specialised graphical representations.
- Combine plots with sliders, buttons and other notebook interface elements.
- Synchronisation between notebook-side data objects and browser-side visualisations.
- Compose richer analytical interfaces from reusable interactive components.
Website: github.com/bqplot/bqplot
Support:
Developer: Bloomberg and contributors
License: Apache License 2.0
bqplot is written in TypeScript and Python. Learn TypeScript with our recommended free books and free tutorials. Learn Python with our recommended free books and free tutorials.
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