我建议不要使用visvis的images2gif，因为它有PIL/Pillow的问题，并且没有积极维护(我应该知道，因为我是作者)。

相反，请使用imageio，它是为解决这个问题而开发的，并打算保留。

快速而肮脏的解决方案:

import imageio
images = []
for filename in filenames:
    images.append(imageio.imread(filename))
imageio.mimsave('/path/to/movie.gif', images)

对于较长的电影，使用流媒体方法:

import imageio
with imageio.get_writer('/path/to/movie.gif', mode='I') as writer:
    for filename in filenames:
        image = imageio.imread(filename)
        writer.append_data(image)

下面是如何使用PIL (install with: pip install Pillow):

import glob
import contextlib
from PIL import Image

# filepaths
fp_in = "/path/to/image_*.png"
fp_out = "/path/to/image.gif"

# use exit stack to automatically close opened images
with contextlib.ExitStack() as stack:

    # lazily load images
    imgs = (stack.enter_context(Image.open(f))
            for f in sorted(glob.glob(fp_in)))

    # extract  first image from iterator
    img = next(imgs)

    # https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#gif
    img.save(fp=fp_out, format='GIF', append_images=imgs,
             save_all=True, duration=200, loop=0)

查看文档:https://pillow.readthedocs.io/en/stable/handbook/image-file-formats.html#gif

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。

from PIL import Image
import glob  #use it if you want to read all of the certain file type in the directory
imgs=[]
for i in range(596,691): 
    imgs.append("snap"+str(i)+'.png')
    print("scanned the image identified with",i)  

标识不同文件名的索引的起始值和结束值+1

imgs = glob.glob("*.png") #do this if you want to read all files ending with .png

我的文件是:snap596.png, snap597.png ......snap690.png

frames = []
for i in imgs:
    new_frame = Image.open(i)
    frames.append(new_frame)

保存到一个GIF文件，永远循环

frames[0].save('fire3_PIL.gif', format='GIF',
    append_images=frames[1:],
    save_all=True,
    duration=300, loop=0)

我发现闪烁的问题与imageio和这个方法固定。

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)

Smart Manoj回答:从文件夹中的所有图像制作一个.mp4电影

安装:

pip install imageio-ffmpeg
pip install imageio

代码:

import os
import imageio

root = r'path_to_folder_with_images'

images = []    
for subdir, dirs, files in os.walk(root):
    for file in files:
        images.append(imageio.imread(os.path.join(root,file)))

savepath = r'path_to_save_folder'
imageio.mimsave(os.path.join(savepath,'movie.mp4'), images)

PS:确保你的“文件”列表按照你想要的方式排序，如果你已经相应地保存了你的图像，你会节省一些时间