Animation interval and frames in Matplotlib

Introduction

Animation interval and frames control how fast and how many steps an animation shows. This helps make smooth and clear moving pictures.

When you want to show how data changes over time, like a moving graph.

When creating a simple animation to explain a concept step-by-step.

When visualizing simulations that update in small steps.

When making a slideshow of images that change automatically.

When you want to control the speed of an animation to match your story.

Syntax

Matplotlib

FuncAnimation(fig, func, frames=None, interval=200, repeat=True)

frames is the number of steps or a list of values for the animation.

interval is the delay between frames in milliseconds (1000 ms = 1 second).

Examples

Run 50 frames with 100 milliseconds between each frame.

Matplotlib

FuncAnimation(fig, update, frames=50, interval=100)

Run 5 frames with 500 milliseconds delay, using specific frame numbers.

Matplotlib

FuncAnimation(fig, update, frames=[0,1,2,3,4], interval=500)

Run animation with default frames and 200 ms delay between frames.

Matplotlib

FuncAnimation(fig, update, interval=200)

Sample Program

This code creates a simple sine wave animation. It updates the wave 100 times, moving it slowly by changing the phase. The interval of 50 ms makes the animation smooth and not too fast.

Matplotlib

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

fig, ax = plt.subplots()
ax.set_xlim(0, 2*np.pi)
ax.set_ylim(-1, 1)
line, = ax.plot([], [], lw=2)

x = np.linspace(0, 2*np.pi, 100)

def update(frame):
    y = np.sin(x + frame / 10)
    line.set_data(x, y)
    return line,

ani = FuncAnimation(fig, update, frames=100, interval=50)
plt.show()

Important Notes

Lower interval means faster animation; higher means slower.

Frames can be a number (count) or a list of values to control animation steps.

Use plt.show() to display the animation window.

Summary

Animation interval sets the speed between frames in milliseconds.

Frames control how many steps or which steps the animation runs.

Together, they help make smooth and clear animations in matplotlib.