As in this question:
Bokeh multi_line and HoverTool
I found that hovertool is not implemented for multi_line plots which is a bit of a setback. This is mentioned under 'warnings' here: http://docs.bokeh.org/en/0.11.0/docs/reference/models/tools.html#bokeh.models.tools.HoverTool
Is there any work arounds for this? Also, If I were to implement this feature, what would be a good place to start and is there anything specific to be aware of? Also, is this feature in the current Bokeh roadmap?
As of Bokeh 0.12.4
(earlier, actually but I forget the exact release) the hover tool supports mutli_line
:
from collections import defaultdict
import numpy as np
from scipy.stats import norm
from bokeh.plotting import show, figure
from bokeh.models import ColumnDataSource, HoverTool
from bokeh.palettes import Viridis6
RT_x = np.linspace(118, 123, num=50)
mass_spec = defaultdict(list)
for scale, mz in [(1.0, 83), (0.9, 55), (0.6, 98), (0.4, 43), (0.2, 39), (0.12, 29)]:
mass_spec["RT"].append(RT_x)
mass_spec["RT_intensity"].append(norm(loc=120.4).pdf(RT_x) * scale)
mass_spec['MZ_tip'].append(mz)
mass_spec['Intensity_tip'].append(scale)
mass_spec['color'] = Viridis6
source = ColumnDataSource(mass_spec)
p = figure(plot_height=400)
p.multi_line(xs='RT', ys='RT_intensity', legend="Intensity_tip",
line_width=5, line_color='color', line_alpha=0.6,
hover_line_color='color', hover_line_alpha=1.0,
source=source)
p.add_tools(HoverTool(show_arrow=False, line_policy='next', tooltips=[
('MZ', '@MZ_tip'),
('Rel Intensity', '@Intensity_tip')
]))
show(p)
Which results in
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