三种Matplotlib中动态更新绘图的方法总结

import matplotlib.pyplot as plt

x = [1,2,3,4] # x-coordinates of the data points
y = [4,7,6,8] # y-coordinates of the data points

graph = plt.plot(x,y) # plotting the data and storing the graph in variable named graph
plt.show()			 # showing the resultant graph

from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt
import random

# initial data
x = [1]
y = [random.randint(1,10)]

# creating the first plot and frame
fig, ax = plt.subplots()
graph = ax.plot(x,y,color = 'g')[0]
plt.ylim(0,10)


# updates the data and graph
def update(frame):
	global graph

	# updating the data
	x.append(x[-1] + 1)
	y.append(random.randint(1,10))

	# creating a new graph or updating the graph
	graph.set_xdata(x)
	graph.set_ydata(y)
	plt.xlim(x[0], x[-1])

anim = FuncAnimation(fig, update, frames = None)
plt.show()

import matplotlib.pyplot as plt
import random

plt.ion() # turning interactive mode on

# preparing the data
y = [random.randint(1,10) for i in range(20)]
x = [*range(1,21)]

# plotting the first frame
graph = plt.plot(x,y)[0]
plt.ylim(0,10)
plt.pause(1)

# the update loop
while(True):
	# updating the data
	y.append(random.randint(1,10))
	x.append(x[-1]+1)
	
	# removing the older graph
	graph.remove()
	
	# plotting newer graph
	graph = plt.plot(x,y,color = 'g')[0]
	plt.xlim(x[0], x[-1])
	
	# calling pause function for 0.25 seconds
	plt.pause(0.25)

import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import random

# initial data
x = [random.randint(1,100)]
y = [random.randint(1,100)]

# creating the figure and axes object
fig, ax = plt.subplots()

# update function to update data and plot
def update(frame):
	# updating the data by adding one more point
	x.append(random.randint(1,100))
	y.append(random.randint(1,100))

	ax.clear() # clearing the axes
	ax.scatter(x,y, s = y, c = 'b', alpha = 0.5) # creating new scatter chart with updated data
	fig.canvas.draw() # forcing the artist to redraw itself

anim = FuncAnimation(fig, update)
plt.show()