FuncAnimation for dynamic plots in Matplotlib - Mini Project: Build & Apply

FuncAnimation for dynamic plots

📖 Scenario: You want to create a simple animated line plot that updates over time, like watching a live graph of a moving point.

🎯 Goal: Build a dynamic plot using matplotlib.animation.FuncAnimation that updates a line on the graph frame by frame.

📋 What You'll Learn

Create initial data points for the plot

Set up a figure and axis for plotting

Write an update function to change the plot data

Use FuncAnimation to animate the plot

Display the animated plot

💡 Why This Matters

🌍 Real World

Dynamic plots are useful to visualize changing data over time, like stock prices, sensor readings, or live experiments.

💼 Career

Data scientists and analysts often use animations to present trends and patterns clearly in reports and dashboards.

1

Create initial data points

Create a list called x with values from 0 to 9 and a list called y with values from 0 to 9.

Matplotlib

# Create lists x and y with values 0 to 9
# Your code here

Need a hint?

Use range(10) to create numbers from 0 to 9 and convert it to a list.

2

Set up the plot figure and axis

Import matplotlib.pyplot as plt. Create a figure and axis using plt.subplots(). Then create a line object by plotting x and y with ax.plot(x, y) and assign it to line.

Matplotlib

x = list(range(10))
y = list(range(10))
# Import matplotlib.pyplot as plt
# Create figure and axis with plt.subplots()
# Plot x and y on ax and assign to line
# Your code here

Need a hint?

Remember to import matplotlib.pyplot as plt. Use fig, ax = plt.subplots() to create the plot area.

3

Write the update function for animation

Define a function called update that takes a parameter frame. Inside the function, update the y-data of line to be [frame + i for i in x]. Return a tuple containing line.

Matplotlib

import matplotlib.pyplot as plt

x = list(range(10))
y = list(range(10))

fig, ax = plt.subplots()
line, = ax.plot(x, y)

# Define update(frame) function to update line y-data
# Your code here

Need a hint?

The update function changes the y-values of the line for each frame. Use line.set_ydata() to update the line.

4

Create and display the animation

Import FuncAnimation from matplotlib.animation. Create an animation object called ani using FuncAnimation with arguments: fig, update, and frames=10. Finally, call plt.show() to display the animated plot.

Matplotlib

import matplotlib.pyplot as plt

x = list(range(10))
y = list(range(10))

fig, ax = plt.subplots()
line, = ax.plot(x, y)

def update(frame):
    line.set_ydata([frame + i for i in x])
    return (line,)

# Import FuncAnimation and create ani with FuncAnimation(fig, update, frames=10)
# Call plt.show() to display
# Your code here

Need a hint?

Use FuncAnimation to create the animation and plt.show() to display it.