Style

Author: stfnkth

basic_app/app.py

@@ -1,58 +1,58 @@
 import datetime
+
 import pandas as pd
 import plotly.graph_objects as go
 import requests
-
-from shiny import render, ui, reactive
+from shiny import reactive, render, ui
 from shiny.express import input
 from shinywidgets import render_widget
 
-
 ui.panel_title("Weather App")
-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)
+
 
 @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)
     return df
 
+
 @render_widget
 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