带子图的 Pyplot 动画返回空白 canvas

Question

我试图从 Fashion MNIST 数据集中随机生成 25 张图像的动画。

然而，当我试图这样做时，我的代码只有 returns 一个空白 canvas。

import tensorflow as tf
from matplotlib.animation import FuncAnimation
from matplotlib import pyplot as plt
import numpy as np

# these code are from the first TensorFlow official tutorial.
fashion_mnist = tf.keras.datasets.fashion_mnist
(train_images, train_labels), (test_images,
                               test_labels) = fashion_mnist.load_data()
class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',
               'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']

# create a 10-inch canvas
fig = plt.figure(figsize=(10, 10))

def draw25Random():
    # show 25 random images from the 60k training set
    ris = np.random.randint(60000, size=25)
    ris.sort()
    for i in range(25):
        ri = ris[i]
        plt.subplot(5, 5, i+1)
        plt.xticks([])
        plt.yticks([])
        plt.grid(False)
        plt.imshow(train_images[ri], cmap=plt.cm.binary)
        plt.xlabel(f'{ri} // {class_names[train_labels[ri]]}')

anim = FuncAnimation(fig,
                     draw25Random,
                     interval=1000)

（渲染25张图部分不错）

有什么想法吗？

Answer 1

对于 matplotlib.animation.FuncAnimation 的工作方式，您需要向它传递一个参数 i，这是一个每帧增加 1 的计数器。所以你不需要在 draw25Random 函数中循环 for i in range(25)：

def draw25Random(i):
    # show 25 random images from the 60k training set
    ri = ris[i]
    plt.subplot(5, 5, i+1)
    plt.xticks([])
    plt.yticks([])
    plt.grid(False)
    plt.imshow(train_images[ri], cmap=plt.cm.binary)
    plt.xlabel(f'{ri} // {class_names[train_labels[ri]]}')

完整代码

import tensorflow as tf
from matplotlib.animation import FuncAnimation
from matplotlib import pyplot as plt
import numpy as np

# these code are from the first TensorFlow official tutorial.
fashion_mnist = tf.keras.datasets.fashion_mnist
(train_images, train_labels), (test_images,
                               test_labels) = fashion_mnist.load_data()
class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',
               'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']

ris = np.random.randint(60000, size = 25)
ris.sort()

# create a 10-inch canvas
fig = plt.figure(figsize=(10, 10))

def draw25Random(i):
    # show 25 random images from the 60k training set
    ri = ris[i]
    plt.subplot(5, 5, i+1)
    plt.xticks([])
    plt.yticks([])
    plt.grid(False)
    plt.imshow(train_images[ri], cmap=plt.cm.binary)
    plt.xlabel(f'{ri} // {class_names[train_labels[ri]]}')

anim = FuncAnimation(fig,
                     draw25Random,
                     interval=100,
                     frames = 25)

plt.show()

带子图的 Pyplot 动画返回空白 canvas

Pyplot animation with subplot returnn a blank canvas

python

animation

visualization

matplotlib

subplot

完整代码