我看到这篇文章，没有一个解决方案是有效的，所以这里是我的解决方案是有效的

到目前为止，其他解决方案存在的问题: 1)对于如何修改持续时间没有明确的解决方案 2)对于乱序目录迭代没有解决方案，而乱序目录迭代对于动图是必不可少的 3)没有说明如何为python3安装imageio

像这样安装imageio: python3 -m PIP Install imageio

注意:你要确保你的帧在文件名中有某种索引，这样它们就可以排序，否则你就无法知道GIF从哪里开始或结束

import imageio
import os

path = '/Users/myusername/Desktop/Pics/' # on Mac: right click on a folder, hold down option, and click "copy as pathname"

image_folder = os.fsencode(path)

filenames = []

for file in os.listdir(image_folder):
    filename = os.fsdecode(file)
    if filename.endswith( ('.jpeg', '.png', '.gif') ):
        filenames.append(filename)

filenames.sort() # this iteration technique has no built in order, so sort the frames

images = list(map(lambda filename: imageio.imread(filename), filenames))

imageio.mimsave(os.path.join('movie.gif'), images, duration = 0.04) # modify duration as needed

我偶然发现了PIL的ImageSequence模块，它提供了更好(更标准)的GIF动画。这次我也使用了Tk的after()方法，这比time.sleep()更好。

from Tkinter import * 
from PIL import Image, ImageTk, ImageSequence

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 = im.info['duration'] # Delay used in the GIF file 
lbl = Label(image=img); lbl.pack() # Create a label where to display images
play = True;
while play:
  for frame in ImageSequence.Iterator(im):
    if not play: break 
    root.after(delay);
    img = ImageTk.PhotoImage(frame)
    lbl.config(image=img); root.update() # Show the new frame/image

root.mainloop()

要创建视频，你可以使用opencv，

#load your frames
frames = ...
#create a video writer
writer = cvCreateVideoWriter(filename, -1, fps, frame_size, is_color=1)
#and write your frames in a loop if you want
cvWriteFrame(writer, frames[i])

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)

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。

我尝试了以下方法，非常有用:

首先下载Figtodat和images2gif库到本地目录。

其次，收集数组中的图形并将其转换为动画gif:

import sys
sys.path.insert(0,"/path/to/your/local/directory")
import Figtodat
from images2gif import writeGif
import matplotlib.pyplot as plt
import numpy

figure = plt.figure()
plot   = figure.add_subplot (111)

plot.hold(False)
    # draw a cardinal sine plot
images=[]
y = numpy.random.randn(100,5)
for i in range(y.shape[1]):
    plot.plot (numpy.sin(y[:,i]))  
    plot.set_ylim(-3.0,3)
    plot.text(90,-2.5,str(i))
    im = Figtodat.fig2img(figure)
    images.append(im)

writeGif("images.gif",images,duration=0.3,dither=0)