• idea similar, pero puntos de lazo que está utilizando. el evento es seleccionadoDatos
• código más decodificación de una dirección de la brújula al ángulo a continuación

 import json import dash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output, State import plotly.express as px import plotly.graph_objects as go import pandas as pd from jupyter_dash import JupyterDash # Build App app = JupyterDash(__name__) # app = dash.Dash(__name__) df = px.data.wind() fig = px.scatter_polar(df, r="frequency", theta="direction") # data to translate named direction to degrees dfd = pd.read_html("http://snowfence.umn.edu/Components/winddirectionanddegrees.htm")[1] dfd.columns = dfd.loc[0] dfd = ( dfd.drop([0]) .dropna() .set_index("Cardinal Direction")["Degree Direction"] .apply(lambda v: pd.Series(v.split(" - ")).astype(float)) ) app.layout = html.Div( [ dcc.Graph(id="basic-interactions", figure=fig), html.Div( className="row", children=[ html.Div( [ dcc.Markdown( """ **Selected points** Use lasso to select points. Double-click de-select for reset """ ), html.Pre(id="relayout-data"), ] ) ], ), ] ) @app.callback( Output("relayout-data", "children"), Input("basic-interactions", "selectedData"), ) def display_relayout_data(selectedData): global dfd def degrees(wind_dir): return dfd.loc[wind_dir, 0].min(), dfd.loc[wind_dir, 1].max() if selectedData: wind_dir = [p["theta"] for p in selectedData["points"]] return f"{degrees(wind_dir)} {wind_dir}" else: raise dash.exceptions.PreventUpdate if __name__ == "__main__": # app.run_server(debug=True) app.run_server(mode="inline")