Bokeh LabelSet x axis being datetime - bokeh

Question

I am new to Bokeh and looking for solution to label each data point. Replicating the examples shown in documents, I could not find solutions with X axis being datetime.
import pandas as mypd
from bokeh.models import LabelSet , ColumnarDataSource
from bokeh.plotting import figure, output_file, show
date_1 = ['2020-01-01', '2020-01-02','2020-01-03','2020-01-04','2020-01-05']
sal = mypd.DataFrame(date_1)
sal.columns = ["Date_1"]
sal['Sales'] = [15,25,36,17,4]
sal['Date_1'] = mypd.to_datetime(sal['Date_1'])
p= figure(x_axis_type = "datetime")
p.line(x =sal['Date_1'] ,y = sal['Sales'])
lab = LabelSet(x = sal['Date_1'], y = sal['Sales'], text = sal['Sales'])
p.add_layout(lab)
show(p)
It is throwing the error
ValueError: expected an element of either String, Dict(Enum('expr', 'field', 'value', 'transform'), Either(String, Instance(Transform), Instance(Expression), Float)) or Float, got 0 2020-01-01
I understand the error is because x axis take numerical data for labelset.
Is my understanding correct ?
If yes what is the workaround ?
I tried with similar queries but could not find a solution for myself.
Similar Query
And this

Answer 1

The simplest solution is to just use a common data source. It also prevents you from embedding the data twice.
import pandas as pd
from bokeh.models import LabelSet, ColumnDataSource
from bokeh.plotting import figure, show
sal = (pd.DataFrame({'Date_1': pd.to_datetime(['2020-01-01', '2020-01-02', '2020-01-03', '2020-01-04', '2020-01-05']),
'Sales': [15, 25, 36, 17, 4]})
.set_index('Date_1'))
ds = ColumnDataSource(sal)
p = figure(x_axis_type="datetime")
p.line(x='Date_1', y='Sales', source=ds)
lab = LabelSet(x='Date_1', y='Sales', text='Sales', source=ds)
p.add_layout(lab)
show(p)