matplotlib.animation.FuncAnimation
.matplotlib.pyplot
is used for plotting, and matplotlib.animation
is used for animation.
categories
are the labels of bars (e.g., products or countries).
values_over_time
holds bar heights for each time frame.
ax.bar()
creates the initial bars.
update()
is a function that changes bar heights for each frame of animation.
FuncAnimation()
runs the update function again and again to animate the chart.
interval=1000
sets the speed (1000ms = 1 second per frame).
show()
displays the animated chart.
Program:
import matplotlib.pyplot as plt
import matplotlib.animation as animation
import numpy as np
# Sample data for 5 frames (e.g., years or months)
categories = ['A', 'B', 'C', 'D']
values_over_time = [
[5, 7, 6, 3],
[6, 8, 5, 4],
[7, 9, 6, 5],
[8, 10, 7, 6],
[10, 11, 8, 7]
]
fig, ax = plt.subplots()
bars = ax.bar(categories, values_over_time[0], color='skyblue')
ax.set_ylim(0, 15)
ax.set_title("Bar Chart Race Animation")
def update(frame):
for bar, new_height in zip(bars, values_over_time[frame]):
bar.set_height(new_height)
ax.set_title(f"Frame {frame + 1}")
ani = animation.FuncAnimation(fig, update, frames=len(values_over_time), repeat=False, interval=1000)
plt.show()
Output:
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