Range from yaxis after ZoomOut (DoubleClick) not the preset

Hello, the range after zoom out is unfortunately no longer the previously set. Where is the error in my script? Or do I have to add something in the code?

df_temp = pd.read_csv('temp_01.csv', sep=';', decimal=',')
df_temp['Datum'] = pd.to_datetime(df_temp['Datum'])

data = {'Temperatur': ['Min', 'Max', 'Avg'],
        'Value': [10, 11, 12]}

df_data = pd.DataFrame(data)

# print(df_temp.dtypes)

app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])

card_main = dbc.Card(
    [
        dbc.CardImg(src="/assets/123.svg", top=True, bottom=False,
                    title="123", alt='Image crashed'),
        dbc.CardBody(
            [
                html.H4("Wetterturm", className="card-title"),
                html.H6("Temperatur", className="card-subtitle"),
                html.P("Wähle den Tag für die Anzeige im Diagramm aus!", className="card-text"),
                dcc.Dropdown(id='user_choice', options=[{'label': day, "value": day} for day in df_temp.day.unique()],
                             value=17, clearable=False, style={"color": "#000000"}),
            ]
        ),
    ],
    color="#009474",   # https://bootswatch.com/default/ for more card colors
    inverse=False,   # change color of text (black or white)
    outline=False,  # True = remove the block colors from the background and header
)

card_table = dbc.Card(
    [
        dt.DataTable(id='data-table',
                     columns=[{"name": i, "id": i} for i in df_data.columns],
                     data=df_data.to_dict('records')
                     )]
)


card_graph = dbc.Card(
        dcc.Graph(id='graph', figure={}), body=False, color="secondary",
)

app.layout = html.Div([
    dbc.Row([dbc.Col(card_main, width=3),
             dbc.Col(card_table, width=3),
             dbc.Col(card_graph, width=5)], justify="around"),  # justify="start", "center", "end", "between", "around"

])


@app.callback(
    Output("graph", "figure"),
    [Input("user_choice", "value")]
)
def update_graph(value):

    graph_plot = make_subplots(specs=[[{'secondary_y': True}]])

    graph_plot.add_trace(
        go.Scatter(x=df_temp.query("day=={}".format(str(value)))['Datum'],
                   y=df_temp.query("day=={}".format(str(value)))['Aussenlufttemperatur'],
                   name='Außenlufttemperatur'),
        secondary_y=False,
    )

    graph_plot.add_trace(
        go.Scatter(x=df_temp.query("day=={}".format(str(value)))['Datum'],
                   y=df_temp.query("day=={}".format(str(value)))['Luftfeuchte'],
                   name='Luftfeuchte'),
        secondary_y=True,
    )
    graph_plot.update_yaxes(secondary_y=True, dtick=20, range=[0, 100])
    graph_plot.update_yaxes(secondary_y=False, dtick=5, range=[0, 50])
    graph_plot.update_xaxes(dtick=14400000)  # dtick in ms
    go.config = {'doubleClick': 'reset'}
    return graph_plot


if __name__ == "__main__":
    app.run_server(debug=True)

Unbenannt1431×480 50.9 KB

1 post - 1 participant

Read full topic