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Awesome GitHub RepositoriesSpatial Data Slicing
Extraction of data subsets based on their spatial coordinates or visual positions within a plot.
Distinct from Range Subset Extractions: Distinct from Range Subset Extractions: extracts data based on 2D spatial coordinates in a visualization rather than 1D indices or tabular ranges.
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Awesome Spatial Data Slicing GitHub Repositories
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- bqplot/bqplot
bqplot/bqplot
3,693Voir sur GitHubbqplot 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
Deno Visualizations extracts slices of data from a plot using spatial selection tools.
TypeScriptipythonjupytervisualizations
