Python 如何使用子地块中的图像生成动画（matplotlib）

可以在jupyter笔记本中设置成对图像的动画吗

有两个图像列表：

greys = io.imread_collection(path_greys)
grdTru= io.imread_collection(path_grdTru)

以下幼稚代码无法生成动画：

for idx in range(1,900):
    plt.subplot(121)
    plt.imshow(greys[idx], interpolation='nearest', cmap=plt.cm.gray)
    plt.subplot(122)
    plt.imshow(grdTru[idx], interpolation='nearest', cmap=plt.cm.,vmin=0,vmax=3)
    plt.show()

（它生成子批次列表）

顺便说一下，如果将文档粘贴到笔记本中，文档将失败。

为了在jupyter笔记本中工作，您需要包括

%matplotlib notebook

魔法命令

import numpy as np
%matplotlib notebook
import matplotlib.pyplot as plt
import matplotlib.animation as animation

fig = plt.figure()


def f(x, y):
    return np.sin(x) + np.cos(y)

x = np.linspace(0, 2 * np.pi, 120)
y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)

im = plt.imshow(f(x, y), animated=True)


def updatefig(*args):
    global x, y
    x += np.pi / 15.
    y += np.pi / 20.
    im.set_array(f(x, y))
    return im,

ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)
plt.show()

然后，您可以轻松地将其调整为图像列表

从matplotlib 2.1版开始，您还可以选择创建JavaScript动画内联

from IPython.display import HTML
HTML(ani.to_jshtml())

完整示例：

import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib.animation as animation

def f(x, y):
    return np.sin(x) + np.cos(y)

x = np.linspace(0, 2 * np.pi, 120)
y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)

im = plt.imshow(f(x, y), animated=True);


def updatefig(*args):
    global x, y
    x += np.pi / 15.
    y += np.pi / 20.
    im.set_array(f(x, y))
    return im,

ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)

from IPython.display import HTML
HTML(ani.to_jshtml())

为了在jupyter笔记本中工作，您需要包括

%matplotlib notebook

魔法命令

import numpy as np
%matplotlib notebook
import matplotlib.pyplot as plt
import matplotlib.animation as animation

fig = plt.figure()


def f(x, y):
    return np.sin(x) + np.cos(y)

x = np.linspace(0, 2 * np.pi, 120)
y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)

im = plt.imshow(f(x, y), animated=True)


def updatefig(*args):
    global x, y
    x += np.pi / 15.
    y += np.pi / 20.
    im.set_array(f(x, y))
    return im,

ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)
plt.show()

然后，您可以轻松地将其调整为图像列表

从matplotlib 2.1版开始，您还可以选择创建JavaScript动画内联

from IPython.display import HTML
HTML(ani.to_jshtml())

完整示例：

import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib.animation as animation

def f(x, y):
    return np.sin(x) + np.cos(y)

x = np.linspace(0, 2 * np.pi, 120)
y = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)

im = plt.imshow(f(x, y), animated=True);


def updatefig(*args):
    global x, y
    x += np.pi / 15.
    y += np.pi / 20.
    im.set_array(f(x, y))
    return im,

ani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)

from IPython.display import HTML
HTML(ani.to_jshtml())

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OP询问如何使用多个子批次进行此操作。OP询问如何使用多个子批次进行此操作。