python - 如何将Plotly“漏斗”仪表板转换为Dash仪表板？

我正在尝试将此简单的绘图漏斗仪表板转换为Dash仪表板：

from plotly import graph_objects as go

fig = go.Figure(go.Funnel(
    y = ["Website visit", "Downloads", "Potential customers", "Requested price", "invoice sent"],
    x = [39, 27.4, 20.6, 11, 2]))

fig.show()

输出：



我已经为Dash编写了以下代码，但是没有运气。

import dash
import dash_core_components as dcc
import dash_html_components as html
from plotly import graph_objects as go

app = dash.Dash()


app.layout = html.Div([dcc.Figure(id='FunnelDashboard',
                    figure = {'data':[
                            go.Funnel(
                            y = ["Website visit", "Downloads", "Potential customers", "Requested price", "invoice sent"],
                            x = [39, 27.4, 20.6, 11, 2])]
                            }
                            )])

if __name__ == '__main__':
    app.run_server()

输出：

C:\Users\Test\Documents\Code>python Funnel_Dash.py
Traceback (most recent call last):
  File "Funnel_Dash.py", line 23, in <module>
    app.layout = html.Div([dcc.Figure(id='FunnelDashboard',
AttributeError: module 'dash_core_components' has no attribute 'Figure'

最佳答案

“ Figure”不是“ dash_core_components”的属性。

我们可以改用“ Graph”。

app = dash.Dash()

app.layout = html.Div([dcc.Graph(id='FunnelDashboard',
                    figure = {'data':[
                            go.Funnel(
                            y = ["Website visit", "Downloads", "Potential customers", "Requested price", "invoice sent"],
                            x = [39, 27.4, 26.6, 11, 2])]
                            }
                            )])
if __name__ == '__main__':
    app.run_server()

关于python - 如何将Plotly“漏斗”仪表板转换为Dash仪表板？，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/59069101/