正如上面提到的,imageio是一个很好的方法。imageio还允许您设置帧速率,我实际上用Python编写了一个函数,允许您设置最后一帧的保持。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。以下是链接和函数:
How to make a GIF using Python
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)
