import numpy as np
from bokeh.plotting import figure, show, output_file
from bokeh.models import HoverTool, ColumnDataSource
from bokeh.sampledata.les_mis import data
nodes = data['nodes']
names = [node['name'] for node in sorted(data['nodes'], key=lambda x: x['group'])]
N = len(nodes)
counts = np.zeros((N, N))
for link in data['links']:
counts[link['source'], link['target']] = link['value']
counts[link['target'], link['source']] = link['value']
colormap = ["#444444", "#a6cee3", "#1f78b4", "#b2df8a", "#33a02c", "#fb9a99",
"#e31a1c", "#fdbf6f", "#ff7f00", "#cab2d6", "#6a3d9a"]
xname = []
yname = []
color = []
alpha = []
for i, node1 in enumerate(nodes):
for j, node2 in enumerate(nodes):
xname.append(node1['name'])
yname.append(node2['name'])
alpha.append(min(counts[i,j]/4.0, 0.9) + 0.1)
if node1['group'] == node2['group']:
color.append(colormap[node1['group']])
else:
color.append('lightgrey')
source = ColumnDataSource(data=dict(
xname=xname,
yname=yname,
colors=color,
alphas=alpha,
count=counts.flatten(),
))
p = figure(title="Les Mis Occurrences",
x_axis_location="above", tools="hover,save",
x_range=list(reversed(names)), y_range=names)
p.plot_width = 800
p.plot_height = 800
p.grid.grid_line_color = None
p.axis.axis_line_color = None
p.axis.major_tick_line_color = None
p.axis.major_label_text_font_size = "5pt"
p.axis.major_label_standoff = 0
p.xaxis.major_label_orientation = np.pi/3
p.rect('xname', 'yname', 0.9, 0.9, source=source,
color='colors', alpha='alphas', line_color=None,
hover_line_color='black', hover_color='colors')
p.select_one(HoverTool).tooltips = [
('names', '@yname, @xname'),
('count', '@count'),
]
output_file("les_mis.html", title="les_mis.py example")
show(p) # show the plot
