I have a dataframe that includes position data from all 9 players on a baseball field including the hitter throughout a given play as well as the ball trajectory. I need some help with figuring out possibly why my animation is not working. The code below plots an instance of the plot, but it doesn’t show a continuous animation. In other words, it should show dots moving continuously. Here is my code:

import pandas as pd
from sportypy.surfaces import MiLBField
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import numpy as np

# The dimensions are not exactly like this but this is an example if you need something to go off of

num_rows = 50

data = {
    'game_str': ['game_01'] * num_rows,
    'play_id': [10] * num_rows,
    'timestamp': np.random.randint(180000, 181000, size=num_rows),
    'player_position': np.random.randint(1, 11, size=num_rows),
    'field_x': np.random.uniform(-150, 150, size=num_rows),
    'field_y': np.random.uniform(-150, 150, size=num_rows),
    'ball_position_x': np.random.uniform(0.0, 2.0, size=num_rows),
    'ball_position_y': np.random.uniform(0.0, 300.0, size=num_rows),
    'ball_position_z': np.random.uniform(0.0, 10.0, size=num_rows)
}


df = pd.DataFrame(data).sort_values(by='timestamp')


field = MiLBField()

def update(frame):
    frame_data = df[df['timestamp'] <= frame]
    players = frame_data[['field_x', 'field_y']]
    balls = frame_data[['ball_position_x', 'ball_position_y']]
    
    plt.clf() 
    field.draw(display_range='full') 
    p = field.scatter(players['field_x'], players['field_y'])
    b = field.scatter(balls['ball_position_x'], balls['ball_position_y'])
    
    return p, b


fig = plt.figure()

ani = FuncAnimation(fig, update, frames=np.linspace(df['timestamp'].min(), df['timestamp'].max(), num=100), blit=True)

plt.show()

I would like it to output a baseball field with the scatter points moving as time increases.