fps=10) plt.show()ani = FuncAnimation(figure, func_animate, frames=10, interval=50)figure 是图形对象，其图将被更新。func_animate 是在每一帧都要调用的函数。它的第一个参数来自下一
import matplotlib.animation as animation fig = plt.figure() # creating a subplot ax1 = fig.add_subplot(1,1,1) def animate(i): data = open('stock.txt','r').read() lines = data.split('\n') xs = [] ys = [] for line in lines: x, y = line.split(',') # Delimiter is co...
import matplotlib.animation as animation anim=animation.FuncAnimation(fig, animate, init_func=init, frames=100, interval=600, blit=False) anim.save('a.gif',writer='pillow') 最后通过调用animation库中的生成方法,来合成一张动态图。注意看!重点都在下面呢! frames代表了总共有多少幅画面 interval代表了图...
fig = plt.figure() data = np.random.random((255, 255)) im = plt.imshow(data, cmap='gray') # animation function. This is called sequentially def animate(i): data = np.random.random((255, 255)) im.set_array(data) return [im] anim = animation.FuncAnimation(fig, animate, frames=20...
fig 进行动画绘制的figure func 自定义动画函数,即传入刚定义的函数animate frames 动画长度,一次循环包含的帧数 init_func 自定义开始帧,即传入刚定义的函数init interval 更新频率,以ms计 blit 选择更新所有点,还是仅更新产生变化的点。应选择True,但mac用户请选择False,否则无法显示动画 ...
"""===An animated image===This example demonstrates how to animate an image."""importnumpyasnpimportmatplotlib.pyplotaspltimportmatplotlib.animationasanimation fig=plt.figure()deff(x,y):returnnp.sin(x)+np.cos(y)x=np.linspace(0,2*np.pi,120)y=np.linspace(0,2*np.pi,100).reshape(-1,...
代码语言:javascript 代码运行次数:0 importnumpyasnp from matplotlibimportpyplotasplt from matplotlibimportanimation fig,ax=plt.subplots()# 生成子图,相当于fig=plt.figure(),# ax=fig.add_subplot(),其中ax的函数参数表示把当前画布进行分割, #例:fig.add_subplot(2,2,2).表示将画布分割为两行两列,ax...
fig, ax = plt.subplots()# 生成子图,相当于fig = plt.figure(),# ax = fig.add_subplot(),其中ax的函数参数表示把当前画布进行分割,# 例:fig.add_subplot(2,2,2).表示将画布分割为两行两列,ax在第2个子图中绘制,其中行优先。x = np.arange(0,2*np.pi,0.01)# 表示从0~2*np.pi之间每隔0.01...
import Camera# fig = plt.figure(facecolor='black')fig = plt.figure()ax = plt.Axes(fig, [0, 0, 1, 1])ax.set_axis_off()plt.rc("font",family='HeiTi TC')# 绘制准备圆路径数据，后续将字符分配到圆路径上a=0.5b=0.5r=0.3alpha = np.arange(np.pi,-np.pi,-0.01)x = a + r...
def animate(i): line.set_ydata(np.sin(x + i/10.0)) # update the data return line, # Init only required for blitting to give a clean slate. def init(): line.set_ydata(np.sin(x)) return line, # call the animator. blit=True means only re-draw the parts that have changed. ...