import streamlit as st
import pandas as pd
import numpy as np

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'],
     
    '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]
        
    ,'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]})

st.map(places_seen)
st.table(places_seen)