Consider the following code snippet using matplotlib.animation.FuncAnimation. What will be the output of the init function?
import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation fig, ax = plt.subplots() line, = ax.plot([], [], 'r-') def init(): line.set_data([], []) return line, def update(frame): x = list(range(frame)) y = [i**2 for i in x] line.set_data(x, y) return line, ani = FuncAnimation(fig, update, frames=5, init_func=init, blit=True) print(init())
Remember that init returns a tuple of artists to be re-drawn.
The init function returns a tuple containing the line object. This tuple is used by FuncAnimation to know which artists to clear and redraw. Hence, the output is a tuple with the Line2D object.
What is the main purpose of the init function when used with matplotlib.animation.FuncAnimation?
Think about what happens before the animation frames start.
The init function initializes the plot elements to a clean state before the animation frames start updating. It sets the background or clears previous data.
Examine the following init function used in a matplotlib animation. Why does it cause an error?
def init():
line.set_data([], [])Check what FuncAnimation expects the init function to return.
The init function must return a tuple of artists to be re-drawn. Without a return statement, None is returned, causing FuncAnimation to raise an error.
Given this animation setup, what data does the init function return?
import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation fig, ax = plt.subplots() line, = ax.plot([], [], 'b-') def init(): line.set_data([], []) return line, result = init()
Look at what line.set_data and the return statement do.
The init function sets the line data to empty lists and returns a tuple containing the line object. This tuple is used by the animation to know which artists to redraw.
What happens if you omit the init_func parameter when creating a FuncAnimation?
Consider what init_func does and what happens if it is not provided.
If init_func is omitted, the animation uses the current state of the plot as the starting point. It does not reset or clear the plot before frames update.