Update app.py

app.py

@@ -4,11 +4,11 @@ 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'],
+     '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]
+    '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]})
+    ,'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)