Vertical Line hover options

HoloViews
,
1

I am trying to have a hover option on the vertical red line to show the y-values of the plot. When I try to include hover in “opts” on the line_plot, I get no plot for some reason. The interaction ideally is that you select options from the cross selector–> choose a color–> a plot is populated.

import hvplot.pandas
import numpy as np
import pandas as pd
import panel as pn
from bokeh.models import HoverTool

pn.extension(sizing_mode="stretch_width")

data1 = pd.DataFrame(
    {"C": np.random.randint(low=1, high=100, size=10), "D": np.random.normal(0.0, 1.0, size=10)}
)
data2 = pd.DataFrame(
    {"C": np.random.randint(low=1, high=300, size=10), "D": np.random.normal(0.0, 1.0, size=10)}
)

trace_datasets = {"data_id1": data1, "dataid2": data2}


cols_X = list(data1.columns)
cols_Y = list(data1.columns)

widget_x = pn.widgets.Select(name="x", options=cols_X)

cross_selector = pn.widgets.CrossSelector(name="y", options=cols_Y)

plot_type = pn.widgets.Select(name="Plot Type", value="line", options=["line", "scatter"])

dataset_selector = pn.widgets.Select(name="Select Run Data", options=list(trace_datasets.keys()))

frame_slider = pn.widgets.IntSlider(name="Time", value=0, start=0, end=999)

@pn.depends(widget_x, cross_selector, plot_type, dataset_selector)
def get_plot_analyze(cols_X, cols_Y, plot_type="line", dataset_selector=dataset_selector.value):
    container2 = pn.Column()
    for selections in cross_selector.value:
        if plot_type == "line":
            if cols_Y:
                hover = hover = HoverTool(tooltips=[selections
                           ])

                line_plot = container2.append(
                    trace_datasets[dataset_selector].hvplot.line(x=cols_X, y=selections, grid=True)*hv.VLine(frame_slider).opts(color="red", tools=[hover])
                )

            else:
                line_plot = container2.append(hv.Curve([]))

        elif plot_type == "scatter":
            scatter_plot = container2.append(
                trace_datasets[dataset_selector].hvplot.scatter(x=cols_X, y=selections, grid=True)
            )
    if len(container2)>0:
        return container2
    return "No options selected"

pn.Column(
    pn.WidgetBox(
        "Controls",
        dataset_selector,
        widget_x,
        cross_selector,
        plot_type,
        overlay_widget,
        color_pick,
        frame_slider,
        width=1000,
    ),
    get_plot_analyze,
).servable()