Dynamic dice roll visualizer with Python 3 and Matplotlib.

dynamic_dice_roller.py

import datetime
import random
import sys
from matplotlib import animation
import matplotlib.pyplot as plt
import seaborn as sns

def update(frame_number, rolls, faces, frequencies):
    
    random.seed(datetime.datetime.now())
    for i in range(rolls):
        frequencies[random.randrange(1, 7) - 1] += 1
    
    plt.cla()
    
    axes = sns.barplot(faces, frequencies, palette="bright")
    axes.set_title(f"Dice frequencies for {sum(frequencies):,} rolls")
    axes.set(xlabel="Dice Value", ylabel="Frequency")
    axes.set_ylim(top=max(frequencies) * 1.15)
    
    for bar, frequency in zip(axes.patches, frequencies):
        text_x = bar.get_x() + bar.get_width() / 2.0
        text_y = bar.get_height()
        text = f"{frequency:,}\n{frequency / sum(frequencies):.3%}"
        axes.text(text_x, text_y, text, ha="center", va="bottom")

number_of_frames = 1000 # for command line args use int(sys.argv[1]) instead  
rolls_per_frame = 1 # for command line args use int(sys.argv[2]) instead

sns.set_style("darkgrid")
figure = plt.figure("Rolling a 6-sided dice")
values = list(range(1, 7))
frequencies = [0] * 6

die_animation = animation.FuncAnimation(
    figure, update, repeat=False, frames=number_of_frames,
    interval=33, fargs=(rolls_per_frame, values, frequencies))

plt.show()