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app.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Thu Jul  6 13:09:57 2023
+
+@author: mritchey
+"""
+import streamlit as st
+import pandas as pd
+import requests
+import plotly.express as px
+
+# Sidebars
+address = st.sidebar.text_input("Address", "123 Main Street, Columbus, OH 43215")
+start_date = st.sidebar.date_input("Start Date",  pd.Timestamp(2022, 9, 1))
+end_date = st.sidebar.date_input("End Date",  pd.Timestamp(2022, 9, 30))
+variable_select = st.sidebar.radio("Variable", ('temperature_2m','windspeed_10m'))
+
+# 1. Geocode API
+add_input = address.replace(', ', '%2C+').replace(' ', '+')
+url_geocode = f'https://geocoding.geo.census.gov/geocoder/locations/onelineaddress?address={add_input}&benchmark=2020&format=json'
+response_geocode = requests.get(url_geocode).json()
+
+lat_lon = response_geocode['result']['addressMatches'][0]['coordinates']
+df_address = pd.DataFrame(lat_lon, index=[0])
+
+lon, lat = df_address.values[0]
+
+
+# 2. Elevation API
+url_elevation = f'https://epqs.nationalmap.gov/v1/json?x={lon}&y={lat}&units=Feet&wkid=4326&includeDate=False'
+response_elevation = requests.get(url_elevation).json()
+df_address['Elevation'] = response_elevation['value']
+
+
+# 3. Weather API
+start_date = start_date.strftime("%Y-%m-%d")
+end_date = end_date.strftime("%Y-%m-%d")
+
+url_weather = f'https://archive-api.open-meteo.com/v1/archive?latitude={lat}&longitude={lon}&start_date={start_date}&end_date={end_date}&hourly=temperature_2m,windspeed_10m&timezone=America%2FNew_York&temperature_unit=fahrenheit&windspeed_unit=ms&precipitation_unit=inch'
+results_weather = requests.get(url_weather).json()
+df_weather = pd.DataFrame(results_weather['hourly'])
+
+
+# Display Dataframe
+st.dataframe(df_address)
+
+# Display Plotly Chart
+wind = px.line(df_weather, x="time", y=variable_select)
+st.plotly_chart(wind)
+
+# To execute: streamlit run "C:\Users\mritchey\.spyder-py3\Python Scripts\streamlit projects\api web app\app.py"

requirements.txt

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+streamlit
+pandas
+requests
+plotly