The result is:

Interactive figure with several 1D plot and one hovertools using Python and Bokeh

This code how to generate interactive figure with several 1D plot, one hovertools and togglable legend using Python and Bokeh. This is a continuing post of last one.

See also:

Python Matplotlib Tips: Interactive 1D time-scale plot with hovertool using Python and Bokeh

This page shows how to generate interactive time-scale 1D line plot with hovertool (stock data) using Python and Bokeh.

In [1]:

import datetime
import platform
print('python: '+platform.python_version())
import numpy as np
print('numpy: '+np.__version__)

python: 3.6.3
numpy: 1.15.4

Define x and y value

In [2]:

numdays = 2000
xs =  range(0, numdays)
ys1 = np.sin(np.linspace(0,10*np.pi,numdays))
ys2 = np.sin(np.linspace(0,10*np.pi,numdays)+2*np.pi/3)
ys3 = np.sin(np.linspace(0,10*np.pi,numdays)+4*np.pi/3)

Load bokeh and enable notebook connection

In [3]:

from bokeh.plotting import figure, output_file, show
from bokeh.io import output_notebook
from bokeh.models import HoverTool, ColumnDataSource
output_notebook()

Loading BokehJS ...

Generate interactive plot

In [4]:

# define figure
p = figure(x_axis_label='Time', y_axis_label='Value',
           plot_width=600, plot_height=300)

source = ColumnDataSource(data={
    'xsdata' : xs,
    'y1data' : ys1,
    'y2data' : ys2,
    'y3data' : ys3,
})

# plot a line to the figure
l1 = p.line('xsdata', 'y1data', source=source, alpha=1.0,
             muted_alpha=0.2,line_width=2, legend='y1label', color='red')
l2 = p.line('xsdata', 'y2data', source=source, alpha=1.0,
             muted_alpha=0.2, line_width=2, legend='y2label', color='green')
l3 = p.line('xsdata', 'y3data', source=source, alpha=1.0,
             muted_alpha=0.2, line_width=2, legend='y3label', color='blue')

# add hover tools to the figure
p.add_tools(HoverTool(
    renderers=[l1],
    # you can see the detail of the formatter at:
    # https://bokeh.pydata.org/en/latest/docs/reference/models/formatters.html
    tooltips=[('Time','@xsdata'),
              ('u', '@y1data{+0.00}'),
              ('v', '@y2data{+0.00}'),
              ('w', '@y3data{+0.00}'),],
    # display a tooltip whenever the cursor is vertically in line with a glyph
    mode='vline'
    ))

# draw legend
p.legend.location = "top_left"
p.legend.click_policy="mute"

# display the figure in the notebook
show(p)

Interactive figure with several 1D plot and one hovertools using Python and Bokeh