File size: 1,634 Bytes
9d6a38f
 
64389f6
ad7879a
f0e3cf2
 
1cd44f1
f0e3cf2
 
64389f6
 
 
 
 
 
 
 
 
 
 
 
 
f0e3cf2
7d6e833
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
import streamlit as st
import pandas as pd
import numpy as np
from datasets import load_dataset

st.title('Map')
dataset = load_dataset("csv", data_files="uszips.csv")

locs = 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(locs)
st.dataframe(dataset)