`geom_path` tooltips are more predictable on a livemap as they work the same way like tooltips for a `geom_polygon` layer. See `The Minard Map`: With livemap: [link](https://nbviewer.org/github/JetBrains/lets-plot/blob/master/docs/f-23c/aes_size_color_variadic_lines.ipynb) With regular plot: [link](https://nbviewer.org/github/JetBrains/lets-plot-kotlin/blob/master/docs/examples/jupyter-notebooks/f-4.4.2/aes_size_color_variadic_lines.ipynb) Code: ```python import pandas as pd from lets_plot import * LetsPlot.setup_html() minard_df = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/minard/troops.csv') minard_plot = geom_path(aes(x='long', y='lat', size='survivors', group='group', color='direction'), data=minard) \ + scale_size([1.0, 20.0]) \ + scale_color_manual(["#E1CBAE", "#232021"]) \ + coord_map() \ + flavor_solarized_light() \ + guides(color = "none") livemap = ggplot() \ + geom_livemap() \ + minard_plot regular = ggplot() \ + minard_plot gggrid([livemap, regular]) + ggsize(1200, 400) ```