I\'m working with four sets of data, each of them have several number of time series. i\'m using bokeh for plotting all of them together, the result looks like this:
Support for doing exactly that (using a MultiSelect widget to hide/show lines) was just added in version 0.12.1 in this PR: https://github.com/bokeh/bokeh/pull/4868
There's an example here (copied below): https://github.com/bokeh/bokeh/blob/master/examples/plotting/file/line_on_off.py
""" Example demonstrating turning lines on and off - with JS only
"""
import numpy as np
from bokeh.io import output_file, show
from bokeh.layouts import row
from bokeh.palettes import Viridis3
from bokeh.plotting import figure
from bokeh.models import CheckboxGroup, CustomJS
output_file("line_on_off.html", title="line_on_off.py example")
code = """
if (0 in checkbox.active) {
l0.visible = true
} else {
l0.visible = false
}
if (1 in checkbox.active) {
l1.visible = true
} else {
l1.visible = false
}
if (2 in checkbox.active) {
l2.visible = true
} else {
l2.visible = false
}
"""
p = figure()
props = dict(line_width=4, line_alpha=0.7)
x = np.linspace(0, 4 * np.pi, 100)
l0 = p.line(x, np.sin(x), color=Viridis3[0], legend="Line 0", **props)
l1 = p.line(x, 4 * np.cos(x), color=Viridis3[1], legend="Line 1", **props)
l2 = p.line(x, np.tan(x), color=Viridis3[2], legend="Line 2", **props)
callback = CustomJS(code=code, args={})
checkbox = CheckboxGroup(labels=["Line 0", "Line 1", "Line 2"], active=[0, 1, 2], callback=callback, width=100)
callback.args = dict(l0=l0, l1=l1, l2=l2, checkbox=checkbox)
layout = row(checkbox, p)
show(layout)