Visualize all walks

all$\_$walks is a list of lists: every sub$-$list represents a single random walk. If you convert this list of lists to a NumPy array, you can start making interesting plots! matplotlib.pyplot is already imported as plt$.$

The nested for loop is already coded for you $-$ don't worry about it$.$ For now, focus on the code that comes after this for loop.

Instructions

$100$ XP

Use np$.$array$()$ to convert all$\_$walks to a NumPy array, np$\_$aw$.$

Try to use plt$.$plot$()$ on np$\_$aw$.$ Also include plt$.$show$().$ Does it work out of the box?

Transpose np$\_$aw by calling np$.$transpose$()$ on np$\_$aw$.$ Call the result np$\_$aw$\_$t$.$ Now every row in np$\_$all$\_$walks represents the position after $1$ throw for the five random walks.

Use plt$.$plot$()$ to plot np$\_$aw$\_$t; also include a plt$.$show$().$ Does it look better this time?