Section $4$: Find the Average Color of ANY Image

Building off Section $3,$ we now want to find the average color of ANY image. To do that, we need to create a function that is given a DataFrame image and returns the average

color of that image.

Write this in the function findAverageColor below. You must return the average color as a dictionary with the values:

$av{g}_{-}r,$ for the average red color,

avg$\_$g$,$ for the average green color,

avg$\_$b$,$ for the average blue color

A dictionary is a data structure that stores multiple values. You have used a dictionary in "Step $4"$ of your simulation code, where you use $d$ to accumulate all real$-$world values.

Accumulate the values avg$\_$r$,$ avg$\_$g$,$ and avg$\_$b just like you would in the simulation:

def findAverageImageColor$($image$)$:

$...$

# Return a dictionary of average color:

d $=\{"$avg$\_$r$"$ : avg$\_$r$,$ "avg$\_$g$"$: avg$\_$g$,$ "avg$\_$b$"$: avg$\_$b$\}$

return d

Write the entire findAverageImageColor function to find the average color of the image passed into the function:

def findAverageImageColor$($image$)$:

avg$\_$r $=$ image.r$.$mean,

avg$\_$b $=$ image.b$.$mean$(),$

avg$\_$g $=$ image.g$.$mean $()$

d $=\{"$avg$\_$b$"$: avg$\_$b$,$ "avg$\_$r$"$: avg$\_$r$,$ "avg$\_$g$"$: avg$\_$g