Python module to generate vector maps from ESRI Shapefiles with the purpose of cutting custom maps in CNC controlled machines(e.g. Laser cutters or CNC milling machines).

• Convenient SVG and DXF formats to import into CNC software for processing and cut.
• Specify the desired width or height of the final SVG/DXF.
• Include label for each country in separate layers of the DXF file.
• Generate a vector map of all countries in a continent by just specifying the name of the continent.
• Reducing the number of points in the data by simplifying polygons.
• Implement greatest rectangle(in area) contained in a polygon
• Generate a map of all the provinces/states in a country specifying the name of the country.

Install with:

git clone https://github.com/dmartzol/dxfmaps.git
cd dxfmaps
pip install -e .

• pyshp - Library for reading ESRI Shapefiles
• Shapely - Manipulation and analysis of geometric objects
• ezdxf - Creation and manipulation of DXF drawings

from dxfmaps.map import Map
from dxfmaps.utils import WORLD_COUNTRIES
from dxfmaps.projections import *


def main():
    map = Map(WORLD_COUNTRIES, continent="europe")
    map.filter_by_area(area_limit=1.0)
    map.simplify(tolerance=.015)
    map.project(MERCATOR)
    map.translate_to_center()
    map.scale_to_width(1000)
    map.add_labels()
    map.to_png(filename='europe.png', stroke_width=2.0)
    map.to_svg()
    map.to_dxf()


if __name__ == "__main__":
    main()

• Implement Azimuthal and Winkel Triple and Mercator projections.
• Implement smaller buffered map for back support.
• Add country names.
• Implement PNG support.
• Add credits(Natural Earth logo, etc).
• Comment code.
• Add support for other data sources(.gov)
• Calculate adequate tolerance for method 'simplify'.
• Move unused functions to deprecated
• Implement imperial units?

This project is licensed under the MIT License

• Built using data from Natural Earth, using the maps for countries and states/provinces.