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#import definitions | |
import pandas as pd | |
import streamlit as st | |
df = pd.read_csv('Map-City-State-Zip-Lat-Long.txt', dtype=str, sep=';') | |
df["Latitude"] = df["Latitude"].astype(float) | |
df["Longitude"] = df["Longitude"].astype(float) | |
st.title("Input a city and state I'll take you there! - Ex. Mound, MN") | |
city = st.text_input("Please search for a city:") | |
if city != "": | |
split_city_state = city.split(", ") | |
state_name = split_city_state[1] | |
city_name = split_city_state[0] | |
#create a dataframe consisting of the correct city input | |
city_df = df[df["City"] == city_name] | |
#use the city dateframe to confirm you are using the right map | |
lat = city_df[city_df["State"] == state_name]["Latitude"].values[0] | |
lon = city_df[city_df["State"] == state_name]["Longitude"].values[0] | |
zipCode = city_df[city_df["State"] == state_name]["Zip"].values[0] | |
city_list = [] | |
lat_list = [] | |
long_list = [] | |
city_list.append(city_name) | |
lat_list.append(lat) | |
long_list.append(lon) | |
st.map(pd.DataFrame({'cities' : city_list, 'lat' : lat_list, 'lon' : long_list})) | |
st.write(city_name, "is located at: ", lat, ",", lon) | |
st.write("The zip code is: ", zipCode) | |