Style

Author: stfnkth

basic_app_core/app.py

@@ -1,30 +1,29 @@
 import datetime
+
 import pandas as pd
 import plotly.graph_objects as go
 import requests
-
-from shiny import App, render, ui, reactive
-from shinywidgets import render_widget, output_widget
+from shiny import App, reactive, render, ui
+from shinywidgets import output_widget, render_widget
 
 app_ui = ui.page_sidebar(
     ui.sidebar(
-        ui.input_numeric("lat",
-                         "Latitude",
-                         value = 51.3167),
-        ui.input_numeric("lon",
-                         "Longitude",
-                         value = 9.5)                 
+        ui.input_numeric("lat", "Latitude", value=51.3167),
+        ui.input_numeric("lon", "Longitude", value=9.5),
     ),
     output_widget("plot"),
     ui.output_table("table"),
-    title = "Weather App"
+    title="Weather App",
 )
 
 
 def server(input, output, session):
     @reactive.Calc
     def weather_dat():
-        url = f"https://api.open-meteo.com/v1/forecast?latitude=%s&longitude=%s&hourly=temperature_2m,rain&past_days=3" %(input.lat(), input.lon())
+        url = (
+            f"https://api.open-meteo.com/v1/forecast?latitude=%s&longitude=%s&hourly=temperature_2m,rain&past_days=3"
+            % (input.lat(), input.lon())
+        )
         response = requests.get(url)
         data = response.json()["hourly"]
         df = pd.DataFrame(data)
@@ -34,36 +33,33 @@ def weather_dat():
     def plot():
         df = weather_dat()
         fig = go.Figure()
-        fig.add_trace(go.Scatter(x=df['time'], y=df['temperature_2m'], mode='lines', name='Temperature'))
-        fig.add_trace(go.Bar(x=df['time'], y=df['rain'], name='Rain', yaxis='y2'))
-        fig.add_vline(x = datetime.datetime.today())
+        fig.add_trace(
+            go.Scatter(
+                x=df["time"], y=df["temperature_2m"], mode="lines", name="Temperature"
+            )
+        )
+        fig.add_trace(go.Bar(x=df["time"], y=df["rain"], name="Rain", yaxis="y2"))
+        fig.add_vline(x=datetime.datetime.today())
         fig.update_layout(
-            xaxis_title='Date',
-            yaxis_title='Temperature (°C)',
-            yaxis2=dict(
-                title='Rain (mm)',
-                overlaying='y',
-                side='right'
-            ),
-            showlegend = False
+            xaxis_title="Date",
+            yaxis_title="Temperature (°C)",
+            yaxis2=dict(title="Rain (mm)", overlaying="y", side="right"),
+            showlegend=False,
         )
         return fig
 
-    @render.table(index= True)
+    @render.table(index=True)
     def table():
         df = weather_dat()
-        df['time'] = pd.to_datetime(df['time'])
-        df.set_index('time', inplace=True)
-        daily_summary = df.resample('D').agg({
-            'temperature_2m': ['min', 'max'],
-            'rain': 'sum'
-        })
+        df["time"] = pd.to_datetime(df["time"])
+        df.set_index("time", inplace=True)
+        daily_summary = df.resample("D").agg(
+            {"temperature_2m": ["min", "max"], "rain": "sum"}
+        )
         daily_summary = daily_summary.T
-        daily_summary.index = ['min. T (°C)', 'max. T (°C)', 'Rain (mm)']
-        daily_summary.columns = [col.strftime('%d.%m') for col in daily_summary.columns]
+        daily_summary.index = ["min. T (°C)", "max. T (°C)", "Rain (mm)"]
+        daily_summary.columns = [col.strftime("%d.%m") for col in daily_summary.columns]
         return daily_summary
 
-   
-
 
 app = App(app_ui, server)