dxfmaps
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).
Features
- 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.
Installation
Install with:
git clone https://github.com/dmartzol/dxfmaps.git
cd dxfmaps
pip install -e .Requirements
- pyshp - Library for reading ESRI Shapefiles
- Shapely - Manipulation and analysis of geometric objects
- ezdxf - Creation and manipulation of DXF drawings
Usage and examples
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()TO DO
- 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?
License
This project is licensed under the MIT License
Acknowledgments
- Built using data from Natural Earth, using the maps for countries and states/provinces.