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How to update the plot title with Matplotlib using animation?
To update the plot title with Matplotlib using animation, we can take the following steps −
- Set the figure size and adjust the padding between and around the subplots.
- Create a new figure or activate an existing figure using figure() method.
- Create x and y data points using numpy.
- Get the current axis.
- Add text to the axes using text() method.
- Add an animate method that can be used to make an animation by repeatedly calling a function.
- To display the figure, use show() method.
Example
import numpy as np
from matplotlib import pyplot as plt, animation
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
x = np.linspace(-10, 10, 1000)
y = np.sin(x)
plt.plot(x, y)
ax = plt.gca()
ax.text(0.5, 1.100, "y=sin(x)", bbox={'facecolor': 'red',
'alpha': 0.5, 'pad': 5},
transform=ax.transAxes, ha="center")
def animate(frame):
ax.text(0.5, 1.100, "y=sin(x), frame: %d" % frame,
bbox={'facecolor': 'red', 'alpha': 0.5, 'pad': 5},
transform=ax.transAxes, ha="center")
ani = animation.FuncAnimation(fig, animate, interval=100,
frames=10, repeat=True)
plt.show()Output
Updated on: 09-Jun-2021
2K+ Views
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