正如上面提到的一个成员，imageio是一种很好的方法。imageio还允许你设置帧速率，我实际上用Python写了一个函数，允许你设置最后一帧的暂停。我将此函数用于科学动画，其中循环是有用的，但立即重新启动不是。下面是链接和函数:

如何使用Python制作GIF

import matplotlib.pyplot as plt
import os
import imageio

def gif_maker(gif_name,png_dir,gif_indx,num_gifs,dpi=90):
    # make png path if it doesn't exist already
    if not os.path.exists(png_dir):
        os.makedirs(png_dir)

    # save each .png for GIF
    # lower dpi gives a smaller, grainier GIF; higher dpi gives larger, clearer GIF
    plt.savefig(png_dir+'frame_'+str(gif_indx)+'_.png',dpi=dpi)
    plt.close('all') # comment this out if you're just updating the x,y data

    if gif_indx==num_gifs-1:
        # sort the .png files based on index used above
        images,image_file_names = [],[]
        for file_name in os.listdir(png_dir):
            if file_name.endswith('.png'):
                image_file_names.append(file_name)       
        sorted_files = sorted(image_file_names, key=lambda y: int(y.split('_')[1]))

        # define some GIF parameters

        frame_length = 0.5 # seconds between frames
        end_pause = 4 # seconds to stay on last frame
        # loop through files, join them to image array, and write to GIF called 'wind_turbine_dist.gif'
        for ii in range(0,len(sorted_files)):       
            file_path = os.path.join(png_dir, sorted_files[ii])
            if ii==len(sorted_files)-1:
                for jj in range(0,int(end_pause/frame_length)):
                    images.append(imageio.imread(file_path))
            else:
                images.append(imageio.imread(file_path))
        # the duration is the time spent on each image (1/duration is frame rate)
        imageio.mimsave(gif_name, images,'GIF',duration=frame_length)

现在我在用ImageMagick。我将帧保存为PNG文件，然后从Python中调用ImageMagick的convert.exe来创建一个动画GIF。这种方法的好处是我可以为每一帧单独指定帧持续时间。不幸的是，这取决于ImageMagick安装在机器上。他们有一个Python包装器，但它看起来很糟糕，不受支持。还在考虑其他建议。

使用windows7, python2.7, opencv 3.0，以下工作为我:

import cv2
import os

vvw           =   cv2.VideoWriter('mymovie.avi',cv2.VideoWriter_fourcc('X','V','I','D'),24,(640,480))
frameslist    =   os.listdir('.\\frames')
howmanyframes =   len(frameslist)
print('Frames count: '+str(howmanyframes)) #just for debugging

for i in range(0,howmanyframes):
    print(i)
    theframe = cv2.imread('.\\frames\\'+frameslist[i])
    vvw.write(theframe)

该任务可以通过在与图片文件序列相同的文件夹中运行两行python脚本来完成。对于png格式的文件，脚本是-

from scitools.std import movie
movie('*.png',fps=1,output_file='thisismygif.gif')

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

它不是一个python库，但mencoder可以做到这一点:从多个输入图像文件编码。你可以像这样从python中执行mencoder:

import os

os.system("mencoder ...")