#osmnx #GeoDataFrame #OpenStreetMap contributors data #Processing #Python #py5
#osmnx #geodataframe #openstreetmap #processing #python #py5
#São Paulo #osmnx data from #OpenStreetMap contributors. Av. Paulista in red. #Processing #Python #py5
#sao #osmnx #openstreetmap #processing #python #py5
I really wanted to have a city map poster of #Torino in my house, and thanks to #osmnx I could do this!
If you also want a city map of your city you could use the app I made with #streamlit, without the need to code:
https://huggingface.co/spaces/Priante/city_maps_app
Disclaimer: if the city is complex it can take a while because it has to process all the roads.
Code in GitHub: https://github.com/FraPria/city_maps_app
#python #dataviz #maps #urbanism #streamlit #osmnx #torino
#30DayMapChallenge day 22 - Null
Had nearly null time to make todays one as I've been preparing for my #graduation tomorrow so here's a null coloured map of Nulltown Indiana recycling my day 13 #python #code
#30DayMapChallenge #graduation #python #code #datascience #mapping #gis #osmnx
Any #osmnx users here?
I encountered a weird issue today: a request with geometries_from_polygon that I had already run successfully X times and that was cached locally suddenly started returning an empty GeoDataFrame...
I also checked that the #overpass API also returns an empty result as JSON but I don't think anything changed...
Even the osmnx.geometries_from_place("Ivry-sur-Seine", tags={"buildings": True}) does that...
I've no idea what's going on :s
#maps #mapstodon #geopandas #osm #gis #overpass #osmnx
#30DayMapChallenge day 13 - 5 minute map
Slightly delayed as I've had my brain fried by the most bizarre job application technical assessment ever.
I re purposed my code from day 5 and use #osmnx to plot the streets of #Aberdeen
#30DayMapChallenge #osmnx #aberdeen #datascience #dataviz
#30DayMapChallenge Day 6 - Network
Initially I wanted to map the amazing tram network in Amsterdam, but #osmnx doesn't provide data for that easily and I wanted this to be a relatively fast map after yesterday. Sticking with the #Amsterdam concept I decided to map their famous #CycleNetwork and to throw in a little twist, I was inspired by a tutorial I found to colour code the map by the length of the cycle lane.
Tutorial inspo:
https://towardsdatascience.com/making-artistic-maps-with-python-9d37f5ea8af0
#30DayMapChallenge #osmnx #amsterdam #CycleNetwork #datascience #dataviz