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import streamlit as st |
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import pandas as pd |
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import os, requests, json |
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API_KEY=os.environ.get('AIRNOW') |
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st.title('Data Visualization') |
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st.sidebar.header('') |
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mainPage = st.sidebar.selectbox( |
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'Choose from some examples...', |
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['Weather map', 'Growth', 'Adjustment']) |
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if mainPage == 'Weather map': |
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BASE_URL = 'https://www.airnowapi.org/aq/observation/zipCode/historical/?format=application/json' |
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startDate = st.date_input('Choose a date...') |
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zipCode = int(st.number_input('Enter your zip code...', min_value=0, max_value=99999, value=75019, step=1)) |
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distance = st.slider('Choose a radius...',0,100,10,5) |
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ARGS = f'&zipCode={zipCode}&date={startDate.year}-{startDate.month}-{startDate.day-2}T00-0000&distance={distance}&API_KEY={API_KEY}' |
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QUERY_URL = f'{BASE_URL}{ARGS}' |
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r = requests.get(QUERY_URL) |
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if r.status_code != 200: |
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st.write('Couldn\'t get data!') |
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ozone = json.loads(r.text)[0] |
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date = ozone["DateObserved"] |
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aqi = ozone["AQI"] |
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description = ozone["Category"]["Name"] |
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lat, lon = (ozone["Latitude"], ozone["Longitude"]) |
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st.write(f'Date: {date}, AQI: {aqi}, Level: {description}') |
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mapData = pd.DataFrame({'lat': [lat, lat+10], 'lon': [lon, lon+10]}) |
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st.map(mapData) |
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