概述
Python matplotlib动画显示
flyfish
主要是
plt.ion() 打开交互
plt.ioff() 关闭交互
plt.pause(0.05) 更新和显示当前活动画布，替代了plt.show。
import torch
import torch.nn.functional as F
import matplotlib.pyplot as plt
x = torch.unsqueeze(torch.linspace(-1, 1, 100), dim=1)
y = x + 0.1 * torch.rand(x.size())
print(x.shape)
print(y.shape)
plt.scatter(x.data.numpy(), y.data.numpy())
plt.show()
class Net(torch.nn.Module):
def __init__(self, n_feature, n_hidden, n_output):
super(Net, self).__init__()
self.hidden = torch.nn.Linear(n_feature, n_hidden)
self.predict = torch.nn.Linear(n_hidden, n_output)
def forward(self, x):
x = F.relu(self.hidden(x))
x = self.predict(x)
return x
net = Net(n_feature=1, n_hidden=10, n_output=1) # define the network
optimizer = torch.optim.SGD(net.parameters(), lr=0.2)
criterion = torch.nn.MSELoss()
plt.ion()#打开交互
for t in range(50):
model = net(x)
loss = criterion(model, y)
optimizer.zero_grad()
loss.backward()
optimizer.step()
if t % 1 == 0:
plt.cla() # clear the current axes. clf: clear the entire current figure.
plt.scatter(x.data.numpy(), y.data.numpy())
plt.plot(x.data.numpy(), model.data.numpy(), 'r-', lw=5)
plt.text(0.5, 0, '%d:Loss=%.2f' % (t+1,loss.data.numpy()), fontdict={
'size': 20, 'color': 'green'})
plt.pause(0.05) #更新和显示当前活动画布
plt.ioff()#交互关闭不加ioff一闪而过
plt.show()
总结
以上是编程之家为你收集整理的Python matplotlib动画显示全部内容，希望文章能够帮你解决Python matplotlib动画显示所遇到的程序开发问题。
如果您也喜欢它,动动您的小指点个赞吧
602392714
清零编程群