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Awesome GitHub RepositoriesFigure Management
Capabilities for initializing, switching, and managing multiple independent plotting canvases.
Distinct from Optimization Plot Customizers: Focuses on the lifecycle and management of the plot canvas rather than styling specific figure objects.
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Awesome Figure Management GitHub Repositories
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- bloomberg/bqplot
bloomberg/bqplot
3,693Ver en GitHubbqplot is an interactive data visualization library for Jupyter notebooks. It implements a grammar of graphics model, allowing users to build complex 2D charts by combining marks, scales, and axes. The library distinguishes itself with specialized toolkits for financial charting, such as OHLC candlesticks and time-series analysis, and geographic data visualization, including choropleths and custom map projections for TopoJSON and GeoJSON data. It enables deep interaction through tools like lasso selection, rectangular brushing, and the ability to manually manipulate plot points or line data.
Allows users to initialize and switch between multiple independent visualization canvases.
TypeScript
