Generating and plotting Poisson distributions
In the previous exercise, you calculated some probabilities. Now let's plot that distribution.
Recall that on a certain highway turn, there are 2 accidents per day on average. Assuming the number of accidents per day can be modeled as a Poisson random variable, let's plot the distribution.
This is a part of the course
“Foundations of Probability in Python”
Exercise instructions
- Import
poisson
fromscipy.stats
,matplotlib.pyplot
asplt
, andseaborn
assns
. - Generate a Poisson distribution sample with
size=10000
andmu=2
. - Plot the sample generated.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import poisson, matplotlib.pyplot, and seaborn
from ____ import ____
import ____ as ____
import ____ as ____
# Create the sample
sample = poisson.___(mu=____, size=10000, random_state=13)
# Plot the sample
sns.distplot(____, kde=False)
plt.show()