为什么当我在下拉列表中选择它时我的图表没有改变？

问题描述

为什么我的图表在下拉菜单中选择时没有改变？

这是我的代码：

# Step 1. Launch the application
app = dash.Dash()

# Step 2. Import the dataset
df = pd.read_excel("./billingdata.xlsx")

# Step 3. Create a plotly figure


trace_1 = px.Scatter(
    x=df.OVERAGE_ACCOUNTS_PER_CYCLE,y=df.CORP_ID,name="BILLING_CYCLE_START_DATE",# marker=dict(color='#ffcdd2'))
    line=dict(width=1,color="rgb(229,151,50)"),)

layout = px.Layout(title="Billing cycle",hovermode="closest")
fig = px.figure(data=[trace_1],layout=layout)

# Step 4. Create a Dash layout
features = df.columns[1]
opts = [{"label": i,"value": i} for i in sorted(df.BILLING_CYCLE_START_DATE)]
app.layout = html.Div(
    [
        # adding a plot
        dcc.Graph(id="plot",figure=fig),# dropdown
        html.P(
            [
                html.Label("BILLING_CYCLE_START_DATE"),dcc.Dropdown(id="opt",options=opts,value=opts[0]["value"]),],style={
                "width": "400px","fontSize": "20px","padding-left": "100px","display": "inline-block",},),]
)

# Step 5. Add callback functions
@app.callback(
    dash.dependencies.Output("plot","figure"),[dash.dependencies.Input("opt","value")],)
def update_figure(X):

    dff = df[df.BILLING_CYCLE_START_DATE == X]

    trace_2 = px.Scatter(
        x=dff.OVERAGE_ACCOUNTS_PER_CYCLE,y=dff.CORP_ID,name=X,line=dict(width=2,color="rgb(106,181,135)"),)
    fig = px.figure(data=[trace_1,trace_2],layout=layout)

    return fig.update_traces(mode="markers+lines")


# Step 6. Add the server clause
if __name__ == "__main__":
    app.run_server(debug=True)

解决方法

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