# SIS display example¶

The code below produces a snapshot of an SIS epidemic with the timeseries:

and without the timeseries:

We start with an SIS epidemic in a 100x100 grid with a few nodes infected in the middle. We will display the epidemic at time 6, with and without the time series included.

```
import networkx as nx
import EoN
import matplotlib.pyplot as plt
G = nx.grid_2d_graph(100,100) #each node is (u,v) where 0<=u,v<=99
#we'll initially infect those near the middle
initial_infections = [(u,v) for (u,v) in G if 45<u<55 and 45<v<55]
sim = EoN.fast_SIS(G, 1.0, 1.0, initial_infecteds = initial_infections,
return_full_data=True, tmax = 40)
pos = {node:node for node in G}
sim.set_pos(pos)
sim.display(6, node_size = 4) #display time 6
plt.savefig('SIS_2dgrid.png')
```

If we changed the `display`

command to have `ts_plots=False`

or
`ts_plots = []`

we get just the network.

```
plt.clf()
sim.display(6, node_size = 4, ts_plots=[]) #display time 6
plt.savefig('SIS_2dgrid_no_time_series.png')
```

Animations are shown in the next example.