| import streamlit as st | |
| import pandas as pd | |
| import numpy as np | |
| st.title("Madhu's World Map and the Places He Has Visited") | |
| places_seen = pd.DataFrame({ | |
| 'cities' : ['Madison', 'Pittsburgh', 'Dallas', 'San Francisco','Los Angeles','Orlando', 'Miami', 'Tampa Bay', 'Buffalo','Boston','Washington D.C.', 'Atlanta', 'Houston', 'Austin','San Diego','Richmond', 'Myrtle Beach', 'Milwaukee','Detroit','UIUC', 'Purdue', 'Columbus','Lancaster','Alamo','Delaware', 'Cleveland', 'Louisville', 'Nashville','San Diego','Concord', 'Rochester', 'Santa Domingo', 'Toronto','San Juan','Las Vegas', 'Niagara Falls', 'Grand Canyon','Hyderabad','Guntur','Mutlur','Bapatla','Vijayawada','Ongole','Tirupati'], | |
| 'lat' : [43.073051, 40.440624, 32.776665, 37.774929,34.0522,28.5384,25.7617,27.7634,42.8864,42.3601,38.9072,33.7490,29.7694,30.2672,32.7157,37.5407,33.6891,43.0389,42.3314,40.1020,40.4237,39.9612,40.0379,26.1837,38.9108,41.4993,38.2527,36.1627,32.7157,43.2081,43.1566,18.4861,43.6532,18.4655,36.1716,43.0962,36.1069,17.3850, 16.3067, 11.4694, 15.9039, 16.5062, 15.5057, 13.6288] , | |
| ,'lon' : [-89.401230, -79.995888, -96.796989, -122.419418,-118.2437,-81.3789,-80.1918,-82.5437,-78.8784,-71.0589,-77.0369,-84.3880,-95.3698,-97.7431,-117.1611,-77.4360,-78.8867,-87.9065,-83.0458,-88.2272,-86.9212,-82.9988,-76.3055, -98.1231,-75.5277,-81.6944,-85.7585,-86.7816,-117.1611,-71.5376,-77.6088,-69.9312,-79.3832,-66.1057,-115.1391,-79.0377,-112.1129, 78.4867, 80.4365, 79.7073, 80.4671, 80.6480, 80.0499, 79.4192]}) | |
| st.map(places_seen) | |
| st.dataframe(places_seen) | |