Lmst

Made today during class at Sesc with data from #OpenStreetMap using #osmnx #OSM #BSB #geodataframe #geopandas #shapely Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_11_13
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work:
https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding
UPDATE: moving water (the lake) under the white paths

A fun map of Brasília's central area (Plano Piloto) with all the buildings randomly colored.

while exploring @geopandas docs I learned it has a "explore()" function that creates an interactive #leafletjs map of the #geodataframe #pandas #gis #geodata #gischat #geopandas

https://geopandas.org/en/stable/docs/user_guide/interactive_mapping.html

Code at: https://github.com/villares/sketch-a-day/tree/main/2025/sketch_2025_10_13
More sketch-a-day: https://abav.lugaralgum.com/sketch-a-day
If you like this, support my work:
https://www.paypal.com/donate/?hosted_button_id=5B4MZ78C9J724
https://liberapay.com/Villares
https://wise.com/pay/me/alexandrev562 #Processing #Python #py5 #CreativeCoding
#GeoPandas #GeoDataFrame

some code with GeoDataFrames and the symetric difference of 3 overlapping squares.

"#Geospatial #Python - Full Course for Beginners with #Geopandas"

https://www.youtube.com/watch?v=0mWgVVH_dos

#folium #mapclassify #leafmap #OpenstreetMap #Jupyter #GIS #geodataframe #geodataviz

#geopandas https://www.youtube.com/watch?v=0mWgVVH_dos #Python #GIS #geodataframe

A geodataframe "hello world" ?

#osmnx #Python #geodataframe #OpenStreetMaps

$# the code below and on the right a window # showing a blue polygon with the city of São Paulo boundary import osmnx as ox import matplotlib.pyplot as plt query = {'city': 'São Paulo'} gdf = ox.geocode_to_gdf(query) # a geopandas GeoDataFrame gdf.plot() plt.show()$

#osmnx #GeoDataFrame #OpenStreetMap contributors data #Processing #Python #py5

Map of São Paulo, with data from OpenStreetMaps, Copan building in red at the center, Paulista Avenue, patially visible in red diagonal bottom left.

@ericof some nice progress! :D

https://github.com/py5coding/py5generator/discussions/344#discussioncomment-6836915

#Python #Processing #py5 #osmnx #geopandas #geoDataFrame #OpenStreetMaps #SãoPaulo

Map of São Paulo with Paulista Av. in red, buildings in turquoise and roads and other walkways (like inside the cemeteries) in gray, over a dark gray background.

@natera cheers Luis...

I've learned to get things just inside a bounding box...https://github.com/villares/sketch-a-day/blob/main/2023/sketch_2023_08_25/sketch_2023_08_25.py but I'm struggling with the documentation :(
I don't have a very definite goal but I'm exploring some ideas. I'd like to highlight a a chosen street and calculate it's length in meters.

I can convert a #osmnx graph to a #GeoDataFrame, just edges, and select named edges. But then I can't convert them back to a network (because I don't have nodes? Because I'm using the wrong methods?)
Can I plot the gdf together with the graph? Maybe I should learn to extract the nodes?

I can see some shapely geometry inside the dataframes, I wish I could convert/project it's coordinates to meters and then to some "screen coordinates" so I can draw them myself with #py5 instead of matplotlib (I never use matplotlib so I'm perpetually confused by it).

And don't worry if you can't help me much with this...

Update: I learned how to get the gdf (edged, nodes) tuple and I can highlight the selected street :)

I ran into issues with @geopandas explore today when the #geodataframe included datetime columns. Still have to check if this is a known issue and then create a reproducible example

#opensource #gischat #dataexploration #visualization

#geodataframe

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