Binding Panel DatetimeRangePicker to plot

I am attempting to modify a working Panel dashboard to change from the DatetimeRangeSlider widget to the DatetimeRangePicker widget.

I have a long time series but typically only the most recent 2 weeks want to be plotted.

The issue is that the working method described in the holoviz tutorial binds the date_slider.param.value_start and date_slider.param.value_end values to selection of the data for plotting. There is no equivalent parameter in the date_picker object. Using date_picker.value[0] and date_picker.value[1] will use these for the initial plot, but selecting new values does not update the selection in the plot. What is the correct way of binding the date picker widget to update the plot?

Working version of code and image of result showing issue below.

import numpy as npimport pandas as pdimport panel as pnimport hvplot.pandas# create datadf = pd.DataFrame(    {"data": np.random.randint(0, 100, 100), "data2": np.random.randint(0, 100, 100)},    index=pd.date_range(start="2022", freq="D", periods=100),)# slider widget - updatingdate_slider = pn.widgets.DatetimeRangeSlider(    name="Date Range ",    start=df.index.min(),    end=df.index.max(),    value=(df.index.max() - pd.Timedelta(14, "day"), df.index.max()),)# date picker widget - not updatingdate_picker = pn.widgets.DatetimeRangePicker(    name="Date Range",    start=df.index.min(),    value=(df.index.max() - pd.Timedelta(14, "day"), df.index.max()),)#plotting functiondef ts_plot(df, start_val, end_val):    df = df[(df.index > start_val) & (df.index <= end_val)]    hv_plot = df.hvplot(        x="index",        y=["data", "data2"],    )    return hv_plot# slider bindingslider_plot = pn.bind(    ts_plot, df, date_slider.param.value_start, date_slider.param.value_end)#picker bindingpicker_plot = pn.bind(ts_plot, df, date_picker.value[0], date_picker.value[1])# panel layoutslider = pn.Column(date_slider, slider_plot)picker = pn.Column(date_picker, picker_plot)pn.Row(slider, picker).servable()