Code/Dash_app.py gelöscht

Code/Dash_app.py

@@ -1,113 +0,0 @@
-import pandas as pd
-from dash import Dash, html, dash_table, dcc, callback
-from dash.dependencies import Input, Output
-import plotly.express as px
-from datetime import datetime
-import plotly.graph_objects as go
-
-df = pd.read_csv('Data.csv')
-df_reversed = df.iloc[::-1]
-
-pressure = df['Barometric Pressure'].iloc[-1]
-humidity = df['Humidity'].iloc[-1]
-
-
-app = Dash(__name__)
-
-app.layout = html.Div([
-    html.H1('Wetter', style={'textAlign': 'center'}),
-
-    html.Div([
-        dcc.Graph(id='temperature-indicator'),
-        dcc.Graph(id='pressure-indicator'),
-        dcc.Graph(id='humidity-indicator')
-], style={'display': 'flex'}),
-    dcc.RadioItems([{'label': 'Temperature', 'value': 'Temperature'},
-                   {'label': 'Barometric Pressure', 'value': 'Barometric Pressure'},
-                   {'label': 'Humidity', 'value': 'Humidity'}],
-                  inline=True,
-                  id='radioitem',
-                  value='Barometric Pressure'),
-    dcc.Graph(id='Pressure'),
-    dash_table.DataTable(
-        id='wetter',
-        data=df_reversed.to_dict('records'),
-        columns=[{'name': i, 'id': i} for i in df.columns],
-        sort_mode='single',
-        sort_action='native',
-        style_cell={'textAlign': 'center'}),
-    dcc.Interval(
-        id='update',
-        interval=10000,
-        n_intervals=0)
-])
-
-
-@callback(Output('temperature-indicator', 'figure'),
-          Input('update', 'n_intervals'))
-def temp_update(n):
-    df = pd.read_csv('Data.csv')
-    temperature = df['Temperature'].iloc[-1]
-    figure = go.Figure(
-        go.Indicator(
-            mode="gauge+number",
-            value=temperature,
-            title={'text': "Temperature (°C)"},
-            gauge={'axis': {'range': [-20, 40]},
-                   'bar': {'color': 'red'}}))
-    return figure
-
-
-@callback(Output('pressure-indicator', 'figure'),
-          Input('update', 'n_intervals'))
-def pressure_update(n):
-    df = pd.read_csv('Data.csv')
-    pressure = df['Barometric Pressure'].iloc[-1]
-    figure = go.Figure(
-        go.Indicator(
-            mode="gauge+number",
-            value=pressure,
-            number={'valueformat': '.2f'},
-            title={'text': "Barometric Pressure"},
-            gauge={'axis': {'range': [500, 1300]}}))
-    return figure
-
-
-@callback(Output('humidity-indicator', 'figure'),
-          Input('update', 'n_intervals'))
-def temp_update(n):
-    df = pd.read_csv('Data.csv')
-    humidity = df['Humidity'].iloc[-1]
-    figure = go.Figure(
-        go.Indicator(
-            mode="gauge+number",
-            value=humidity,
-            title={'text': "Humidity"},
-            gauge={'axis': {'range': [0, 100]},
-                   'bar': {'color': 'blue'}}))
-    return figure
-
-
-@callback(Output('wetter', 'data'),
-          Input('update', 'n_intervals'))
-def get_update(n):
-    df = pd.read_csv('Data.csv')
-    df_reversed = df.iloc[::-1]
-    return df_reversed.to_dict('records')
-
-
-@callback(Output('Pressure', 'figure'),
-          Input('update', 'n_intervals'),
-          Input('radioitem', 'value'))
-def update_graph(n, x):
-    df = pd.read_csv('Data.csv')
-    today = datetime.today().date()
-    df_filtered = df.tail(60).copy()
-    df_filtered['Date'] = pd.to_datetime(df_filtered['Date'], dayfirst=True)
-    df_filtered = df_filtered[df_filtered['Date'].dt.date == today]
-    fig = px.line(df_filtered, x='Time', y=x)
-    return fig
-
-
-if __name__ == '__main__':
-    app.run_server(debug=True)