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Tools for defining visual mappings and controlling the geometric properties of marks, scales, and axes.
Distinct from Optimization Plot Customizers: Existing candidates are too narrow (polar axes, S2 geometry) or unrelated (3D pipelines).
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bqplot is an interactive data visualization library for IPython and Jupyter notebooks that utilizes a grammar of graphics. It functions as a tool for creating 2D charts and maps with real-time updates and bidirectional communication between the kernel and frontend. The library is distinguished by its ability to act as a geographic data visualization tool, rendering choropleth maps and spatial data via GeoJSON and custom projections. It also serves as a financial charting tool for producing OHLC and candle bar charts, and as an interactive dashboard framework for combining plotting widgets wit
Defines visual mappings using a grammar of graphics to control the scales, marks, and axes of plots.