我目前正在尝试制作一系列图像的动画,其中为每个图像绘制一个最初未知的椭圆形。到目前为止,我已经尝试了很多事情,但是还没有找到解决方案,尽管我想我已经接近了。这是我的代码:
var today = Math.round((new Date()).getTime() / 1000);
console.log(today);
现在,当我尝试此代码时,出现以下错误消息:
import matplotlib.pyplot as plt
from matplotlib.patches import Ellipse
def plot_images(img1, img2, objects, ax):
im1 = ax.imshow(img1)
im2 = ax.imshow(img2 with transparency as an overlay)
# plotting an ellipse for each object
e = [None]*len(objects)
for j in range(len(objects)):
e[j] = Ellipse(xy=(objects['x'][j], objects['y'][j]),
width=6 * objects['a'][j],
height=6 * objects['b'][j],
angle=objects['theta'][j] * 180. / np.pi)
e[j].set_facecolor('none')
e[j].set_edgecolor('red')
ax.add_artist(e[j])
return im1, im2, e
def animate(j):
# extracting objects
im1, im2, objects = object_finder_function()
imm1, imm2, e = plot_images(im1, im2, objects, axs)
return imm1, imm2, e
fig, axs = plt.subplots()
ani = animation.FuncAnimation(fig, animate, frames=image_number, interval=50, blit=True)
plt.show()
所以我尝试了不同的方法,但是最终我发现,当作为测试时,我放入plot_images函数
AttributeError: 'list' object has no attribute 'get_zorder'
并相应地更改动画功能,即
return im1, im2, e[0], e[1], e[2]
和
imm1, imm2, e0, e1, e2 = plot_images(im1, im2, objects, axs)
我没有收到错误消息,椭圆实际上按照我的意图绘制在各个帧中。现在的问题是,对于一个图像,我想绘制每幅图像有数百个椭圆,所以我必须手动将其全部写下(即e [0],e [1],e [2]- -e [k],和动画功能相同),这似乎不是正确的方法。另一件事是,正如我已经说过的,每张图像的椭圆数会发生变化,并且以前是未知的,因此我无法相应地调整功能。
如何返回此椭圆列表,以便动画读取它,就像我会像在工作示例中那样将它们全部写下来一样?
答案 0 :(得分:1)
答案 1 :(得分:1)
您的代码有点不合逻辑,因此为清晰起见,我对其进行了一些清理。您的AttributeError
与get_zorder
函数有关,该函数在matplotlib中用于确定如何对图进行分层。使用您尝试过的方法,我可以告诉您只需要最后打开list_of_ellipses即可。
def plot_images(img1, img2, objects, ax):
im1 = ax.imshow(img1)
im2 = ax.imshow(img2 with transparency as an overlay)
list_of_ellipses = []
for j in range(len(objects)):
my_ellipse = Ellipse(xy=(objects['x'][j], objects['y'][j]),
width=6 * objects['a'][j],
height=6 * objects['b'][j],
angle=objects['theta'][j] * 180. / np.pi)
my_ellipse.set_facecolor('none')
my_ellipse.set_edgecolor('red')
ax.add_artist(e[j])
list_of_ellipses.append(my_ellipse)
return im1, im2, list_of_ellipses
def animate():
im1, im2, objects = object_finder_function()
imm1, imm2, list_of_ellipses = plot_images(im1, im2, objects, axs)
return (imm1, imm2)+tuple(list_of_ellipses)
fig, axs = plt.subplots()
ani = animation.FuncAnimation(fig, animate, frames=image_number, interval=50, blit=True)
plt.show()
答案 2 :(得分:1)
假设您正在使用matplotlib.animation,则animate
应该返回一个iterable
,并且您返回的包含三个对象。 return imm1, imm2, e
返回三个实例的tuple。最后一个是列表。通过将list
函数更改为:
tuple
而不是animate
。
def animate(j):
im1, im2, objects = object_finder_function()
imm1, imm2, e = plot_images(im1, im2, objects, axs)
return [imm1, imm2] + e
但是,我将更改plot_images
以返回list
。也许像下面这样:
def create_ellipse(objects, object_idx, artists):
ellipse = Ellipse(
xy=(objects['x'][object_idx], objects['y'][object_idx]),
width=(6 * objects['a'][object_idx]),
height=(6 * objects['b'][object_idx]),
angle=(objects['theta'][object_idx] * 180.0 / np.pi))
ellipse.set_facecolor('none')
ellipse.set_edgecolor('red')
artists.add_artists(ellipse)
return ellipse
def plot_images(img1, img2, objects, ax):
renderables = [ax.imshow(img1),
ax.imshow(img2 with transparency as an overlay)]
renderables.extend(create_ellipse(objects, idx, ax)
for idx in range(len(objects)))
return renderables