Usage

partypy can be used to simulate guest attendance at a party based on a list of guests, each assigned a “probability of attendance”. Below is a simple example of partypy’s core functionality:

import partypy as pp

First, we’ll load in some example data:

df = pp.load_party()
df.head()

	name	probability_of_attendance
0	Donovan Willis	0.7
1	Jocelyn Navarro	0.7
2	Houston Stein	0.9
3	Carlos Mullins	0.5
4	Bridger Pruitt	0.7

Next, we’ll run 500 simulations of a party with this invited guest list:

results = pp.simulate_party(df["probability_of_attendance"],
                            n_simulations=500)
results.head()

	Total guests
Simulation
1	65
2	68
3	67
4	68
5	63

Finally, we can plot the results and optionally add a confidence interval of level C:

pp.plot_simulation(results, C=0.95)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/tmp/ipykernel_424/2179226834.py in <module>
----> 1 pp.plot_simulation(results, C=0.95)

TypeError: plot_simulation() got an unexpected keyword argument 'C'