in Python

# RollDieDynamic.py """Dynamically graphing frequencies of die rolls.""" from matplotlib import animation import matplotlib.pyplot as plt import random import seaborn as sns import sys def update(frame_number, rolls, faces, frequencies): """Configures bar plot contents for each animation frame.""" # roll die and update frequencies for i in range(rolls): frequencies[random.randrange(1, 7) - 1] += 1 # reconfigure plot for updated die frequencies plt.cla() # clear old contents contents of current Figure axes = sns.barplot(faces, frequencies, palette='bright') # new bars axes.set_title(f'Die Frequencies for {sum(frequencies):,} Rolls') axes.set(xlabel='Die Value', ylabel='Frequency') axes.set_ylim(top=max(frequencies) * 1.10) # scale y-axis by 10% # display frequency & percentage above each patch (bar) 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') # read command-line arguments for number of frames and rolls per frame number_of_frames = 100 #int(sys.argv[1]) rolls_per_frame = 60 # int(sys.argv[2]) plt.show() # display window sns.set_style('whitegrid') # white background with gray grid lines figure = plt.figure('Rolling a Six-Sided Die') # Figure for animation values = list(range(1, 7)) # die faces for display on x-axis frequencies = [0] * 6 # six-element list of die frequencies # configure and start animation that calls function update die_animation = animation.FuncAnimation( figure, update, repeat=False, frames=number_of_frames, interval=33, fargs=(rolls_per_frame, values, frequencies)) plt.show() # display window