import streamlit as st import pandas as pd import numpy as np from datasets import load_dataset st.title("World Map") loc = 'https://github.optum.com/raw/clinical/ocm-ml/8fe218a281f6c13067d272664bd133f754212379/priorauth/utils/us-zip-code-latitude-and-longitude.txt' dataset = load_dataset("json", data_files={"train": base_url + "train-v1.1.json", "validation": base_url + "dev-v1.1.json"}, field="data") print(dataset) 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, 16.1580, 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, 80.4365,80.4841, 80.4671, 80.6480, 80.0499, 79.4192]}) st.map(places_seen) st.dataframe(places_seen)