对我来说，使它工作的最简单的事情是在Python中调用shell命令。

如果您的图像存储为dummy_image_1.png, dummy_image_2.png…dummy_image_N.png，然后你可以使用函数:

import subprocess
def grid2gif(image_str, output_gif):
    str1 = 'convert -delay 100 -loop 1 ' + image_str  + ' ' + output_gif
    subprocess.call(str1, shell=True)

执行:

grid2gif("dummy_image*.png", "my_output.gif")

这将构造你的gif文件my_output.gif。

我使用images2gif.py，这很容易使用。它似乎是文件大小的两倍。

26个110kb的PNG文件，我期望26*110kb = 2860kb，但my_gif.GIF是5.7mb

另外，因为GIF是8位的，好看的png在GIF中变得有点模糊

下面是我使用的代码:

__author__ = 'Robert'
from images2gif import writeGif
from PIL import Image
import os

file_names = sorted((fn for fn in os.listdir('.') if fn.endswith('.png')))
#['animationframa.png', 'animationframb.png', 'animationframc.png', ...] "

images = [Image.open(fn) for fn in file_names]

print writeGif.__doc__
# writeGif(filename, images, duration=0.1, loops=0, dither=1)
#    Write an animated gif from the specified images.
#    images should be a list of numpy arrays of PIL images.
#    Numpy images of type float should have pixels between 0 and 1.
#    Numpy images of other types are expected to have values between 0 and 255.


#images.extend(reversed(images)) #infinit loop will go backwards and forwards.

filename = "my_gif.GIF"
writeGif(filename, images, duration=0.2)
#54 frames written
#
#Process finished with exit code 0

以下是26帧中的3帧:

缩小图像会减小尺寸:

size = (150,150)
for im in images:
    im.thumbnail(size, Image.ANTIALIAS)

对我来说，使它工作的最简单的事情是在Python中调用shell命令。

如果您的图像存储为dummy_image_1.png, dummy_image_2.png…dummy_image_N.png，然后你可以使用函数:

import subprocess
def grid2gif(image_str, output_gif):
    str1 = 'convert -delay 100 -loop 1 ' + image_str  + ' ' + output_gif
    subprocess.call(str1, shell=True)

执行:

grid2gif("dummy_image*.png", "my_output.gif")

这将构造你的gif文件my_output.gif。

真是不可思议……所有人都提出了一些特殊的包来播放动画GIF，目前它可以用Tkinter和经典的PIL模块!

这是我自己的GIF动画方法(我之前创建的)。非常简单:

from Tkinter import * 
from PIL import Image, ImageTk
from time import sleep

def stop(event):
  global play
  play = False
  exit() 

root = Tk()
root.bind("<Key>", stop) # Press any key to stop
GIFfile = {path_to_your_GIF_file}    
im = Image.open(GIFfile); img = ImageTk.PhotoImage(im)
delay = float(im.info['duration'])/1000; # Delay used in the GIF file 
lbl = Label(image=img); lbl.pack() # Create a label where to display images
play = True; frame = 0
while play:
  sleep(delay);
  frame += 1
  try:
    im.seek(frame); img = ImageTk.PhotoImage(im)
    lbl.config(image=img); root.update() # Show the new frame/image
  except EOFError:
    frame = 0 # Restart

root.mainloop()

您可以设置自己的方法来停止动画。如果你想要完整版本的播放/暂停/退出按钮，请告诉我。

注意:我不确定连续帧是从内存还是从文件(磁盘)读取的。在第二种情况下，如果它们都一次读取并保存到一个数组(列表)中，那么效率会更高。(我没兴趣知道!：）

一个制作动图的简单函数:

import imageio
import pathlib
from datetime import datetime


def make_gif(image_directory: pathlib.Path, frames_per_second: float, **kwargs):
    """
    Makes a .gif which shows many images at a given frame rate.
    All images should be in order (don't know how this works) in the image directory

    Only tested with .png images but may work with others.

    :param image_directory:
    :type image_directory: pathlib.Path
    :param frames_per_second:
    :type frames_per_second: float
    :param kwargs: image_type='png' or other
    :return: nothing
    """
    assert isinstance(image_directory, pathlib.Path), "input must be a pathlib object"
    image_type = kwargs.get('type', 'png')

    timestampStr = datetime.now().strftime("%y%m%d_%H%M%S")
    gif_dir = image_directory.joinpath(timestampStr + "_GIF.gif")

    print('Started making GIF')
    print('Please wait... ')

    images = []
    for file_name in image_directory.glob('*.' + image_type):
        images.append(imageio.imread(image_directory.joinpath(file_name)))
    imageio.mimsave(gif_dir.as_posix(), images, fps=frames_per_second)

    print('Finished making GIF!')
    print('GIF can be found at: ' + gif_dir.as_posix())


def main():
    fps = 2
    png_dir = pathlib.Path('C:/temp/my_images')
    make_gif(png_dir, fps)

if __name__ == "__main__":
    main()

老问题，有很多很好的答案，但可能仍然对另一种选择感兴趣……

我最近在github (https://github.com/WarrenWeckesser/numpngw)上发布的numpngw模块可以从numpy数组写入动画PNG文件。(更新:numpngw现在在pypi: https://pypi.python.org/pypi/numpngw。)

例如，这个脚本:

import numpy as np
import numpngw


img0 = np.zeros((64, 64, 3), dtype=np.uint8)
img0[:32, :32, :] = 255
img1 = np.zeros((64, 64, 3), dtype=np.uint8)
img1[32:, :32, 0] = 255
img2 = np.zeros((64, 64, 3), dtype=np.uint8)
img2[32:, 32:, 1] = 255
img3 = np.zeros((64, 64, 3), dtype=np.uint8)
img3[:32, 32:, 2] = 255
seq = [img0, img1, img2, img3]
for img in seq:
    img[16:-16, 16:-16] = 127
    img[0, :] = 127
    img[-1, :] = 127
    img[:, 0] = 127
    img[:, -1] = 127

numpngw.write_apng('foo.png', seq, delay=250, use_palette=True)

创建:

你需要一个支持动画PNG的浏览器(直接或带有插件)才能看到动画。