A minimal Python library to draw customized maps from OpenStreetMap created using the osmnx, matplotlib, shapely and vsketch libraries.
This work is licensed under a GNU Affero General Public License v3.0 (you can make commercial use, distribute and modify this project, but must disclose the source code with the license and copyright notice)
- Please keep the printed message on the figures crediting my repository and OpenStreetMap (mandatory by their license).
- I am personally against NFTs for their environmental impact, the fact that they"re a giant money-laundering pyramid scheme and the structural incentives they create for theft in the open source and generative art communities.
- I do not authorize in any way this project to be used for selling NFTs, although I cannot legally enforce it. Respect the creator.
- The AeternaCivitas and geoartnft projects have used this work to sell NFTs and refused to credit it. See how they reacted after being exposed: AeternaCivitas, geoartnft.
- I have closed my other generative art projects on Github and won"t be sharing new ones as open source to protect me from the NFT community.
As seen on Hacker News:
Read the docs
Install with
$ pip install prettymaps
Use the AUR
yay -S python-prettymaps
Usage example (For more examples, see this Jupyter Notebook):
# Init matplotlib figure
fig, ax = plt.subplots(figsize = (12, 12), constrained_layout = True)
backup = plot(
# Address:
"Praça Ferreira do Amaral, Macau",
# Plot geometries in a circle of radius:
radius = 1100,
# Matplotlib axis
ax = ax,
# Which OpenStreetMap layers to plot and their parameters:
layers = {
# Perimeter (in this case, a circle)
"perimeter": {},
# Streets and their widths
"streets": {
"width": {
"motorway": 5,
"trunk": 5,
"primary": 4.5,
"secondary": 4,
"tertiary": 3.5,
"residential": 3,
"service": 2,
"unclassified": 2,
"pedestrian": 2,
"footway": 1,
}
},
# Other layers:
# Specify a name (for example, "building") and which OpenStreetMap tags to fetch
"building": {"tags": {"building": True, "landuse": "construction"}, "union": False},
"water": {"tags": {"natural": ["water", "bay"]}},
"green": {"tags": {"landuse": "grass", "natural": ["island", "wood"], "leisure": "park"}},
"forest": {"tags": {"landuse": "forest"}},
"parking": {"tags": {"amenity": "parking", "highway": "pedestrian", "man_made": "pier"}}
},
# drawing_kwargs:
# Reference a name previously defined in the "layers" argument and specify matplotlib parameters to draw it
drawing_kwargs = {
"background": {"fc": "#F2F4CB", "ec": "#dadbc1", "hatch": "ooo...", "zorder": -1},
"perimeter": {"fc": "#F2F4CB", "ec": "#dadbc1", "lw": 0, "hatch": "ooo...", "zorder": 0},
"green": {"fc": "#D0F1BF", "ec": "#2F3737", "lw": 1, "zorder": 1},
"forest": {"fc": "#64B96A", "ec": "#2F3737", "lw": 1, "zorder": 1},
"water": {"fc": "#a1e3ff", "ec": "#2F3737", "hatch": "ooo...", "hatch_c": "#85c9e6", "lw": 1, "zorder": 2},
"parking": {"fc": "#F2F4CB", "ec": "#2F3737", "lw": 1, "zorder": 3},
"streets": {"fc": "#2F3737", "ec": "#475657", "alpha": 1, "lw": 0, "zorder": 3},
"building": {"palette": ["#FFC857", "#E9724C", "#C5283D"], "ec": "#2F3737", "lw": .5, "zorder": 4},
}
)
