Multi Plot

The Multi Plot object allows the generation of composite grid figures composed by multiple Diffusion Trends and/or Diffusion Prevalence plots.

class ndlib.viz.bokeh.MultiPlot.MultiPlot

MultiPlot.add_plot(plot)

Parameters:plot – The bokeh plot to add to the grid

MultiPlot.plot(width, height)

Parameters:ncols – Number of grid columns Returns:a bokeh figure image

import networkx as nx
from bokeh.io import show
import ndlib.models.ModelConfig as mc
import ndlib.models.epidemics as ep
from ndlib.viz.bokeh.DiffusionTrend import DiffusionTrend
from ndlib.viz.bokeh.DiffusionPrevalence import DiffusionPrevalence
from ndlib.viz.bokeh.MultiPlot import Multiplot

vm = MultiPlot()

# Network topology
g = nx.erdos_renyi_graph(1000, 0.1)

# Model selection
model = ep.SIRModel(g)

# Model Configuration
cfg = mc.Configuration()
cfg.add_model_parameter('beta', 0.001)
cfg.add_model_parameter('gamma', 0.01)
cfg.add_model_parameter("fraction_infected", 16 0.05)
model.set_initial_status(cfg)

# Simulation execution
iterations = model.iteration_bunch(200)
trends = model.build_trends(iterations)

# Diffusion Trend
viz = DiffusionTrend(model, trends)
p = viz.plot(width=400, height=400)
vm.add_plot(p)

# Diffusion Prevalence
viz = DiffusionPrevalence(model, trends)
p1 = viz.plot(width=400, height=400)

vm.add_plot(p1)

m = vm.plot(ncol=2)
show(m)