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prettymaps

prettymaps is a Python library designed to generate customized, visually appealing maps using OpenStreetMap data. It leverages popular packages such as osmnx, matplotlib, and shapely to process geospatial data and render high-quality cartographic outputs. This tool offers a straightforward approach to map creation for various applications.

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prettymaps is a minimal Python library developed for creating customized and visually appealing maps directly from OpenStreetMap data. It integrates several powerful open-source packages, including osmnx, matplotlib, and shapely, to handle the entire process from data acquisition to rendering. Users can define specific geographic areas and customize the visual style of their maps, making it a versatile tool for data visualization and cartographic projects.

This library operates under a GNU Affero General Public License v3.0, which permits commercial use, distribution, and modification, provided the source code, license, and copyright notice are disclosed. The project emphasizes the importance of crediting both the prettymaps repository and OpenStreetMap in any generated figures, reinforcing its commitment to open data principles and community contributions.

By combining the robust data retrieval capabilities of osmnx with the advanced plotting features of matplotlib and the geometric operations of shapely, prettymaps simplifies the creation of detailed and artistic maps. It serves as an accessible resource for developers and researchers looking to produce high-quality geospatial visualizations with Python.

Disclaimer: We do not guarantee the accuracy of this information. Our documentation of this website on Geospatial Catalog does not represent any association between Geospatial Catalog and this listing. This summary may contain errors or inaccuracies.

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