How to use Bokeh hover tool in for loop with checkbox widget - python-3.x

Question

Python 3.6
Bokeh 12.15
I have tried to implement the bokeh example line_on_off.py, but in a for loop with a hover tool and data of varying length. What happens though is that when a line is turned off it turns off the tool tip of any line created after it. For example if I turn off line 1, line 2,3,4 tool tips are disabled, or if I turn off line 3 line 4's tool tip is disabled.
Can I use a hover tool and checkbox widget in a for loop like this? I have seen this multiline example, but my data is of varying length and I do not want to resample because I would like to see if there is bad or missing data.
Code
from bokeh.plotting import figure
from bokeh.models import CheckboxGroup, CustomJS
from bokeh.models import ColumnDataSource
import pandas as pd
from bokeh.models import HoverTool
def create_plot(df_list):
p = figure(x_axis_type = 'datetime')
glyph_dict = {}
labels = []
active = []
items = []
names = 'abcdefghijklmnopqrstuvwxyz'
callback_string = '{}.visible = {} in checkbox.active;'
code_string = ''
i = 0
sources = []
for df in df_list:
legend = df.columns[0]
series = df.iloc[:,0]
labels.append(legend)
x = series.index
y = series.values
source =ColumnDataSource(data = {'x':x,'y':y, 'date': [str(x) for x in x]})
sources.append(source)
line = p.line('x', 'y', source = sources[i])
items.append((legend, [line]))
name = names[i]
line.name = name
code_string += callback_string.format(name, str(i))
glyph_dict.update({name:line})
active.append(i)
i+=1
hover = HoverTool(tooltips=[('date', '#date'),('y', '#y')])
p.add_tools(hover)
checkbox = CheckboxGroup(labels=labels, active=active, width=200)
glyph_dict.update({'checkbox':checkbox})
checkbox.callback = CustomJS.from_coffeescript(args=glyph_dict, code=code_string)
return checkbox, p
Minimal example
import numpy as np
from datetime import datetime, timedelta
from bokeh.layouts import row
from bokeh.plotting import show
df_list = []
start = datetime(2017, 4,1)
end = datetime(2017,5,1)
for i in range(1,5):
date = pd.date_range(start, end, freq = '1w')
shape = len(date)
df = pd.DataFrame(index = date, data = np.random.randn(shape,1))
name = 'df'+ str(i)
df.columns = [name]
end = end + timedelta(weeks = 1)
df_list.append(df)
c,p = create_plot(df_list)
r=row([c,p])
show(r)

Answer 1

In a situation like this, you should probably create a new, separate hover tool for each line, by restricting the renderers property of each hover tool. So, in relation to your code, move the hover tool creation inside the loop, and have it set renderers each time:
line = p.line('x', 'y', source = sources[i])
hover = HoverTool(tooltips=[('date', '#date'),('y', '#y')]
renderers=[line])
p.add_tools(hover)