Animate Charts with FuncAnimation
Description:
A Python program that creates an animated line chart using Matplotlib’s FuncAnimation class to dynamically update the chart over time.
Code Explanation:
● import matplotlib.animation as animation: Imports the animation module from Matplotlib.
● fig, ax = plt.subplots(): Sets up the plot canvas.
● line, = ax.plot([], [], 'r-'): Initializes an empty red line.
● init(): Defines the initial view with x and y axis limits.
● update(frame): Appends new x and y values for each animation frame.
● FuncAnimation(...): Connects the update function with the plot, creating a smooth animation.
● frames=np.arange(...): Defines the range of frame values from 0 to 10, step 0.5.
● plt.show(): Displays the animated chart.
Program:
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import numpy as np
# Create a figure and axis
fig, ax = plt.subplots()
x_data, y_data = [], []
line, = ax.plot([], [], 'r-') # red line
# Initialize the plot
def init():
ax.set_xlim(0, 10)
ax.set_ylim(0, 100)
return line,
# Update function for animation
def update(frame):
x_data.append(frame)
y_data.append(frame ** 2)
line.set_data(x_data, y_data)
return line,
# Create animation
ani = animation.FuncAnimation(fig, update, frames=np.arange(0, 10, 0.5),
init_func=init, blit=True, repeat=False)
# Show animation
plt.title("Animated Line Chart (y = x^2)")
plt.xlabel("X")
plt.ylabel("Y")
plt.grid(True)
plt.show()
Output:
