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Visual Studio Code – Errormessage for FuncAnimation in Jupyter

I have just written this code for the last project in school.
It works in Visual Studio, but when running the code there I get this errormessage (even though the program runs fine).

c:main.py:193: UserWarning: frames=None which we can infer the length of, did not pass an explicit *save_count* and passed cache_frame_data=True.  To avoid a possibly unbounded cache, frame data caching has been disabled. To suppress this warning either pass `cache_frame_data=False` or `save_count=MAX_FRAMES`.
  ani = FuncAnimation(plt.gcf(), func=animate, fargs=([velocity*math.cos(angle), velocity*math.sin(angle)],), interval=UPDRATE)

However, I guess that I have to present the code in Jupyter. When I copy my code there, the program doesn’t run at all. I get the error message:

/opt/conda/lib/python3.11/site-packages/matplotlib/animation.py:872: UserWarning: Animation was deleted without rendering anything. This is most likely not intended. To prevent deletion, assign the Animation to a variable, e.g. `anim`, that exists until you output the Animation using `plt.show()` or `anim.save()`.
  warnings.warn(

I have no idea how to interpret this errormessage. Can you please explain a solution?

Part of code attached:

def animate(i, velocities):
    # Do things
    
def main():
    # Declare and call the animation function
    ani = FuncAnimation(plt.gcf(), func=animate, fargs=([velocity*math.cos(angle), velocity*math.sin(angle)],), interval=UPDRATE)
    plt.show()
    
main()
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2

Answers


  1. 0

    Your animation object ani is being garbage collected because it’s defined inside main(), which means that it doesn’t persist after the function exits, which should be causing the error. I think moving ani to a global scope (putting it outside any functions) should be enough to solve the issue.

    For example:

    from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
from IPython.display import HTML
import math

def animate(i, velocities):
    # Your animation code here
    pass;

velocity = 10;
angle = math.radians(45);
UPDRATE = 100;

# Create the animation object in global scope!
ani = FuncAnimation(
    plt.gcf(),
    func=animate,
    fargs=([velocity * math.cos(angle), velocity * math.sin(angle)],),
    interval=UPDRATE);

# Display the animation in Jupyter Notebook
HTML(ani.to_jshtml())
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  2. 0

    You can try to add ‘cache_frame_data=False’ to your ‘ani’:

    ani = FuncAnimation(plt.gcf(), func=animate, fargs=([velocitymath.cos(angle), velocitymath.sin(angle)],), interval=UPDRATE , cache_frame_data=False)

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