I've been able to understand how to display long/lat from a map, as well as x/y on a plot, on a label in NiceGUI with a click on a Plotly map with the help of this forum, but now I would like to display attributes from a dataframe object that contains multiple attributes. Sample code is below, dataframe is made up for simplicity. import pandas as pd import plotly.graph_objects as go from nicegui import ui, events df = pd.DataFrame([ [12345, -95, 45, 'Cross River'], [12346, -94, 43, 'Snake River'], [12347, -92, 45, 'Temple River'], [12348, -96, 46, 'Gold River'], [12349, -95.5, 44.5, '#FT Ty7']], columns=['site', 'long', 'lat', 'name'] ) fig = go.Figure(go.Scattermap( mode='markers', lon=df['long'], lat=df['lat'], ) ) fig.update_layout(margin=dict(l=0,r=0,t=0,b=0), width=400, showlegend=False, map = { 'style': 'satellite-streets', 'center': {'lon': sum(df['long']/len(df)), 'lat': sum(df['lat']/len(df)) }, 'zoom':5}) plot = ui.plotly(fig) label = ui.label("Click on a point for more information.") def handle_click(e: events.GenericEventArguments): index = e.args label.text = f'Name: {name}, Site number: {site}.' plot.on('plotly_click', handle_click) ui.run() This code doesn't work to display the attribute "name" from the df, and I would like to include all the attributes in a label as well. Continue reading...