{"categories":[{"label":"GIS","url":"https://skillfed.io/packages/category/scientific-engineering-gis"}],"enrichment":{"capability":"Mapclassify implements classification schemes for choropleth maps, determining the optimal number of classes and assigning observations to them for use with geovisualization packages.","skillfed_tags":["geospatial","cartography","data-classification"],"use_cases":["Determine optimal class boundaries for a choropleth map before rendering with downstream visualization tools.","Assign spatial data to color classes using different classification algorithms to compare visual patterns.","Classify continuous geographic data into discrete categories for thematic mapping.","Experiment with multiple classification schemes on the same dataset to find the most effective visualization.","Automate class assignment in batch geographic data processing pipelines."],"what_it_does":"Mapclassify solves the problem of how to divide continuous geographic data into discrete classes for color-coded choropleth maps. It focuses on the algorithmic side\u2014determining how many classes to use and which observations belong in each\u2014leaving the actual map rendering to downstream visualization packages. The package is built on a stack of scientific Python tools: numpy for numerical operations, pandas for data handling, scikit-learn and scipy for statistical methods, and networkx for graph-based algorithms that some classification schemes may require.\n\nTypically used in geographic data science workflows, it sits between raw spatial data and visualization, taking continuous values and producing class assignments that make choropleth maps readable and meaningful. The package is maintained as part of the PySAL ecosystem and is actively developed.","worth_installing":"Yes. Mapclassify is actively maintained, has no known vulnerabilities, uses a permissive BSD 3-Clause license, and solves a specific problem in geographic data visualization. Install it if you are building choropleth maps and need to classify continuous spatial data into discrete color classes."},"id":"mapclassify","links":{"html":"https://skillfed.io/packages/mapclassify","md":"https://skillfed.io/packages/mapclassify.md","pypi":"https://pypi.org/project/mapclassify/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-11","license_spdx":null,"license_treatment":"permissive","name":"mapclassify","python_support":"supports_current","summary":"Classification Schemes for Choropleth Maps."},"popularity":{"monthly_downloads":913662,"position":4737,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.11.0"}