Animation interval and frames in Matplotlib - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to set the animation interval to 100 milliseconds.

Matplotlib

ani = FuncAnimation(fig, update, frames=10, interval=[1])

Drag options to blanks, or click blank then click option'

A50

B200

C100

D500

Attempts:

3 left

💡 Hint

Common Mistakes

Using interval values too large or too small causing animation to be too slow or too fast.

Confusing interval with frames count.

The interval parameter controls the delay between frames in milliseconds. Setting it to 100 means 0.1 seconds between frames.

2fill in blank

medium

Complete the code to set the number of frames to 20.

Matplotlib

ani = FuncAnimation(fig, update, frames=[1], interval=100)

Drag options to blanks, or click blank then click option'

A10

B40

C30

D20

Attempts:

3 left

💡 Hint

Common Mistakes

Setting frames too low causing short animation.

Confusing frames with interval.

The frames parameter controls how many frames the animation will have. Setting it to 20 means the update function will be called 20 times.

3fill in blank

hard

Fix the error in the code to correctly set frames as a range from 0 to 9.

Matplotlib

ani = FuncAnimation(fig, update, frames=[1], interval=100)

Drag options to blanks, or click blank then click option'

A[10]

Brange(10)

C10

Dlist(10)

Attempts:

3 left

💡 Hint

Common Mistakes

Using an integer directly instead of an iterable.

Using list(10) which causes an error.

Frames can be an iterable like range(10) to generate frames from 0 to 9.

4fill in blank

hard

Fill both blanks to create an animation with frames from 0 to 14 and interval of 50 milliseconds.

Matplotlib

ani = FuncAnimation(fig, update, frames=[1], interval=[2])

Drag options to blanks, or click blank then click option'

Arange(15)

Brange(10)

C50

D100

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong range causing fewer frames.

Setting interval too high or too low.

range(15) creates frames from 0 to 14, and interval=50 sets 50 milliseconds delay between frames.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps frame number to its square, only for frames less than 10.

Matplotlib

squares = { [1]: [2] for [1] in range(15) if [1] [3] 10 }

Drag options to blanks, or click blank then click option'

Aframe

Bframe**2

C<

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names for key and loop variable.

Using '>' instead of '<' causing empty dictionary.

We use 'frame' as the key, 'frame**2' as the value, and filter frames less than 10 with '<'.