Project 39: Choropleth Lite 🌍¶
Difficulty: 🔴 Advanced
Run cells top to bottom. Each step builds on the previous one and saves real files under outputs/choropleth_lite/.
In [1]:
# Install dependencies for this project (safe to re-run)
import sys
!{sys.executable} -m pip install pillow numpy matplotlib wordcloud qrcode[pil] python-barcode fpdf2 jinja2 folium plotly pandas scipy ipywidgets -q
Skipping pip install (already installed)
In [2]:
# Interactive Jupyter setup — run this cell first
%matplotlib inline
from pathlib import Path
from IPython.display import display, Image as IPImage, HTML, Markdown, Audio, IFrame
OUTPUT_DIR = Path("outputs") / "choropleth_lite"
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
print(f"✅ Outputs folder: {OUTPUT_DIR.resolve()}")
✅ Outputs folder: C:\Users\Hansel Yan\Projects\CodeItAll\outputs\choropleth_lite
Step 1 — Invent city energy scores¶
In [3]:
import pandas as pd
# 🎛️ TWEAK THESE
DF = pd.DataFrame([
{"city": "Tokyo", "lat": 35.68, "lon": 139.65, "energy": 92},
{"city": "Lagos", "lat": 6.52, "lon": 3.38, "energy": 80},
{"city": "São Paulo", "lat": -23.55, "lon": -46.63, "energy": 77},
{"city": "Berlin", "lat": 52.52, "lon": 13.40, "energy": 70},
{"city": "Seoul", "lat": 37.57, "lon": 126.98, "energy": 88},
{"city": "Mexico City", "lat": 19.43, "lon": -99.13, "energy": 74},
])
print(DF)
city lat lon energy 0 Tokyo 35.68 139.65 92 1 Lagos 6.52 3.38 80 2 São Paulo -23.55 -46.63 77 3 Berlin 52.52 13.40 70 4 Seoul 37.57 126.98 88 5 Mexico City 19.43 -99.13 74
Step 2 — Folium bubble map¶
In [4]:
import folium
m = folium.Map(location=[20, 10], zoom_start=2, tiles="CartoDB positron")
for _, r in DF.iterrows():
color = "#8b1e1e" if r.energy >= 85 else "#333333" if r.energy >= 75 else "#999999"
folium.CircleMarker(
location=[r.lat, r.lon],
radius=r.energy / 8,
color=color,
fill=True,
fill_opacity=0.65,
popup=f"{r.city}: {r.energy}",
).add_to(m)
out = OUTPUT_DIR / "choropleth_lite.html"
m.save(str(out))
print(f"Map saved → {out}")
display(m)
Map saved → outputs\choropleth_lite\choropleth_lite.html
Make this Notebook Trusted to load map: File -> Trust Notebook