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Procfile

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+web: sh setup.sh && streamlit run weather_app.py

requirements.txt

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+streamlit
+matplotlib
+numpy
+DateTime
+pyowm
+plotly
+boto

runtime.txt

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+python-3.7.2

setup.sh

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+mkdir -p ~/.streamlit/
+echo "\
+[general]\n\
+email = \"[email protected]\"\n\
+" > ~/.streamlit/credentials.toml
+echo "\
+[server]\n\
+headless = true\n\
+enableCORS=false\n\
+port = $PORT\n\
+" > ~/.streamlit/config.toml

weather_app.py

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+import os
+import pytz
+import pyowm
+import streamlit as st
+from matplotlib import dates
+from datetime import datetime
+from matplotlib import pyplot as plt
+import plotly.graph_objects as go
+import plotly.express as px
+
+
+API_KEY = os.environ['API_KEY']
+owm = pyowm.OWM(API_KEY)
+mgr=owm.weather_manager()
+
+degree_sign= u'\N{DEGREE SIGN}'
+
+st.title("5 Day Weather Forecast")
+st.write("## Made by Suyesha ")
+
+st.write("### Write the name of a City and select the Temperature Unit and Graph Type from the sidebar")
+
+place=st.text_input("NAME OF THE CITY :", "")
+
+
+if place == None:
+    st.write("Input a CITY!")
+
+
+
+unit=st.selectbox("Select Temperature Unit",("Celsius","Fahrenheit"))
+
+g_type=st.selectbox("Select Graph Type",("Line Graph","Bar Graph"))
+
+if unit == 'Celsius':
+    unit_c = 'celsius'
+else:
+    unit_c = 'fahrenheit'
+
+
+def get_temperature():
+    days = []
+    dates = []
+    temp_min = []
+    temp_max = []
+    forecaster = mgr.forecast_at_place(place, '3h')
+    forecast=forecaster.forecast
+    for weather in forecast:
+        day=datetime.utcfromtimestamp(weather.reference_time())
+        #day = gmt_to_eastern(weather.reference_time())
+        date = day.date()
+        if date not in dates:
+            dates.append(date)
+            temp_min.append(None)
+            temp_max.append(None)
+            days.append(date)
+        temperature = weather.temperature(unit_c)['temp']
+        if not temp_min[-1] or temperature < temp_min[-1]:
+            temp_min[-1] = temperature
+        if not temp_max[-1] or temperature > temp_max[-1]:
+            temp_max[-1] = temperature
+    return(days, temp_min, temp_max)
+
+def init_plot():
+     plt.figure('PyOWM Weather', figsize=(5,4))
+     plt.xlabel('Day')
+     plt.ylabel(f'Temperature ({degree_sign}F)')
+     plt.title('Weekly Forecast')
+
+
+
+def plot_temperatures(days, temp_min, temp_max):
+    # days = dates.date2num(days)
+    fig = go.Figure(
+        data=[
+            go.Bar(name='minimum temperatures', x=days, y=temp_min),
+            go.Bar(name='maximum temperatures', x=days, y=temp_max)
+        ]
+    )
+    fig.update_layout(barmode='group')
+    return fig
+
+
+def plot_temperatures_line(days, temp_min, temp_max):
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(x=days, y=temp_min, name='minimum temperatures'))
+    fig.add_trace(go.Scatter(x=days, y=temp_max, name='maximimum temperatures'))
+    return fig
+
+def label_xaxis(days):
+    plt.xticks(days)
+    axes = plt.gca()
+    xaxis_format = dates.DateFormatter('%m/%d')
+    axes.xaxis.set_major_formatter(xaxis_format)
+
+def draw_bar_chart():
+    days, temp_min, temp_max = get_temperature()
+    fig = plot_temperatures(days, temp_min, temp_max)
+    # write_temperatures_on_bar_chart(bar_min, bar_max)
+    st.plotly_chart(fig)
+    st.title("Minimum and Maximum Temperatures")
+    for i in range (0,5):
+        st.write("### ",temp_min[i],degree_sign,' --- ',temp_max[i],degree_sign)
+
+
+def draw_line_chart():
+    days, temp_min, temp_max = get_temperature()
+    fig = plot_temperatures_line(days, temp_min, temp_max)
+    st.plotly_chart(fig)
+    st.title("Minimum and Maximum Temperatures")
+    for i in range (0,5):
+        st.write("### ",temp_min[i],degree_sign,' --- ',temp_max[i],degree_sign)
+
+def other_weather_updates():
+    forecaster = mgr.forecast_at_place(place, '3h')
+    st.title("Impending Temperature Changes :")
+    if forecaster.will_have_fog():
+        st.write("### FOG Alert!")
+    if forecaster.will_have_rain():
+        st.write("### Rain Alert")
+    if forecaster.will_have_storm():
+        st.write("### Storm Alert!")
+    if forecaster.will_have_snow():
+        st.write("### Snow Alert!")
+    if forecaster.will_have_tornado():
+        st.write("### Tornado Alert!")
+    if forecaster.will_have_hurricane():
+        st.write("### Hurricane Alert!")
+    if forecaster.will_have_clouds():
+        st.write("### Cloudy Skies")    
+    if forecaster.will_have_clear():
+        st.write("### Clear Weather!")
+
+def cloud_and_wind():
+    obs=mgr.weather_at_place(place)
+    weather=obs.weather
+    cloud_cov=weather.clouds
+    winds=weather.wind()['speed']
+    st.title("Cloud coverage and wind speed")
+    st.write('### The current cloud coverage for',place,'is',cloud_cov,'%')
+    st.write('### The current wind speed for',place, 'is',winds,'mph')
+
+def sunrise_and_sunset():
+    obs=mgr.weather_at_place(place)
+    weather=obs.weather
+    st.title("Sunrise and Sunset Times :")
+    india = pytz.timezone("Asia/Kolkata")
+    ss=weather.sunset_time(timeformat='iso')
+    sr=weather.sunrise_time(timeformat='iso')  
+    st.write("### Sunrise time in",place,"is",sr)
+    st.write("### Sunset time in",place,"is",ss)
+
+def updates():
+    other_weather_updates()
+    cloud_and_wind()
+    sunrise_and_sunset()
+
+
+if __name__ == '__main__':
+
+    if st.button("SUBMIT"):
+        if g_type == 'Line Graph':
+            draw_line_chart()    
+        else:
+            draw_bar_chart()
+        updates()