'''
Multiple plots in one

Exercise A: Mean squared distance

The mean squared distance of a diffusing particle (random motion) in 2D can be 
calculated by

d(t)^2 = 4 * D * t 

Plot the root mean squared distance (sqrt{d(t)^2}) for D = 10 m^2/s, 
D = 20 m^2/s, and D = 30 m^2/s for the first 100 s as 3 curves within a single
plot. Use a legend to annotate which particle is which. 

What is the advantage of using one plot over multiple plots to visualise this?
'''

# Your code here

'''
Exercise B: Subplots

Take the function 

f(x) = 3x^4 + 4/x.

1. Plot the function, the first, the second, and the third derivative in one 
plot, with -1 < x < 1. What do you see: are there any issues with this plot?

2. Instead, now plot the function and it's first to third derivative in a 
total of 4 subplots. What are the advantages of using subplots in this case?

Tip: you can use `fig.tight_layout()` to prevent overlap between subplot titles.
'''

# Your code here