fig,(ax1,ax2)=plt.subplots(1,2)x=np.arange(0,2*np.pi,0.01)line1,=ax1.plot(x,np.sin(x))line2,=ax2.plot(x,np.cos(x))defanimate(i):line1.set_ydata(np.sin(x+i/10.0))line2.set_ydata(np.cos(x+i/10.0))returnline1,line2
line,=plt.plot(x,y) # 动画函数 def animate(i): line.set_ydata(np.sin(x+i/100)) return line, # 动画初始函数 def init(): line.set_ydata(np.sin(x)) return line, """ fig:figure对象 animate:动画函数,不断更新图像的函数,生成新的xdata和ydata frames:动画的帧数 init_func=init:动画...
scale=std_dev, size=num_days)daily_returns = np.cumsum(price_changes)fig, ax = plt.subplots()line, = ax.plot(daily_returns, marker='o')def animate(i): line.set_ydata(daily_returns[:i
2*np.pi,0.01)# 创建x数据,用于绘制正弦波line,=ax.plot(x,np.sin(x))# 绘制初始正弦波# 创建动画ani=animation.FuncAnimation(fig=fig,func=lambdai:animate(i,line,x),# 指定动画函数frames=np.arange(1,200),# 设置动画帧数init_func=lambda:init(line,x),# 指定初始化函数interval=20,# 设置更...
return line, def animate(i): x = np.linspace(-a1, a2, 1000) y= a5*(np.sin(a6* ((x - a7 * i)**a8))) line.set_data(x, y) return line, #这里大家应该比较熟悉了,允许输入x,y轴标题及主标题,以及定义字号大小 x1=input("please enter x label name:\n") x2=input("please enter...
line, = ax.plot([], [], lw=3) def init(): line.set_data([], []) return line, def animate(i): x = np.linspace(0, 4, 1000) y = np.sin(2 * np.pi * (x - 0.01 * i)) line.set_data(x, y) return line, anim = FuncAnimation(fig, animate, init_func=init, ...
x = np.arange(0,2*np.pi,0.01)# 表示从0~2*np.pi之间每隔0.01取一个点line, = ax.plot(x, np.sin(x))# 注意,这里line后面要加上逗号,表示一个具有一个元素的元组# print(type(line))# print(type((line,)))# <class 'matplotlib.lines.Line2D'># <class 'tuple'>defanimate(i):# 这里...
return line, ani = animation.FuncAnimation(fig, update, metric, interval=2*1000) plt.show() 第三个样例: import numpy as np from matplotlib import pyplot as plt from matplotlib import animation # First set up the figure, the axis, and the plot element we want to animate ...
# initialization function: plot the background of each frame def init(): line.set_data([], []) return line, # animation function. This is called sequentially # note: i is framenumber def animate(i): x = np.linspace(0, 2, 1000) ...
line,=ax.plot(x,np.sin(x))# 注意,这里line后面要加上逗号,表示一个具有一个元素的元组 #print(type(line))#print(type((line,)))#<class'matplotlib.lines.Line2D'>#<class'tuple'>defanimate(i):# 这里的i其实就是参数0-99,即时frames控制的参数,控制程序画图变换的次数 ...