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| #import definitions | |
| #from tkinter import W | |
| import pandas as pd | |
| import streamlit as st | |
| import gradio as gr | |
| #cleaning data | |
| 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) | |
| def writeToDataFrame(dataframe, name, location, latitude, longitude): | |
| newdf = {'Name': name, 'Location': location, 'Latitude': latitude, 'Longitude': longitude} | |
| dataframe = dataframe.append(newdf, ignore_index = True) | |
| return dataframe | |
| st.title("Input a city and state I'll take you there! - Ex. Boston, MA") | |
| city_and_state_string = st.text_input("Please search for a location:") | |
| if city_and_state_string != "": | |
| split_city_state = city_and_state_string.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] | |
| 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})) | |
| checkbox = st.checkbox("Show/Hide Latitude/Longitude") | |
| if checkbox: | |
| st.write(city_name, "is located at: ", lat, ",", lon) | |