Is it possible to change the color of only one dot in a scatter plot in matplotlib?

So this is my code currently,

import random
import statistics
import matplotlib.pyplot as mpl

x = random.randint(1, 100)
i = 0
tries = []
z = 0

while True:
    i+=1
    y = random.randint(1, 100)
    tries.append(y)
    if y==x:
        y=z
        print(f"The computer got it right in {i} tries.")
        print(f"The number was {x}")
        break

print(tries)
mpl.plot(tries, tries, 'o')
mpl.show()

So it's about getting the computer to guess a random number, putting all the attempts in a list, and plotting all the attempts in a scatter plot. So is it possible to change the color of only the correct attempt in the graph, and having the rest all be default?

I tried to store the all the points on the x-axis and y-axis in a numpy array but it changes the color of all of the dots, and not only one dot.

Solution

Yes, of course you can.

To achieve this, you need to handle the plotting of that specific point separately from the others.

Plotting All Guesses Except the Last One

mpl.plot(tries[:-1], tries[:-1], 'o', color='blue')

tries[:-1]: This is a slicing operation on the tries list. It selects all elements of the list except the last one

Plotting the Last Guess with a Different Color

mpl.plot(tries[-1], tries[-1], 'o', color='red')

tries[-1]: This time, the code uses negative indexing to select only the last element of the tries list.

Full code:

import random
import matplotlib.pyplot as mpl


x = random.randint(1, 100)
i = 0
tries = []

while True:
    i += 1
    y = random.randint(1, 100)
    tries.append(y)
    if y == x:
        print(f"The computer got it right in {i} tries.")
        print(f"The number was {x}")
        break

# Plot the wrong guesses blue
mpl.plot(tries[:-1], tries[:-1], 'o', color='blue')

# Plot the right guess in red
mpl.plot(tries[-1], tries[-1], 'o', color='red')

mpl.show()