python 如何绘制动图（将300张图片生成gif动画）

import cartopy.feature as cfeature
from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import numpy as np
import xarray as xr
import os
data=xr.open_dataset('..\\sst.mnmean.nc')#读取数据
data = data.sortby("lat", ascending= True)#将纬度按照升序排列
sst=data.sel(lat=slice(-20.5,20.5),time=slice("1982", "2019"))#挑选想看的年份和经纬度范围
lon=sst.lon.data#读取lon数据
lat=sst.lat.data
plt.rcParams['font.family']='Times New Roman'
plt.rcParams['font.size']=15
day=np.arange(0,456)
#循环绘图
for i in day:
    fig=plt.figure(figsize=(20,12))
    proj=ccrs.PlateCarree(central_longitude=180)
    ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree(central_longitude =180))
    cb=ax.contourf(lon,lat,sst.sst.data[i],transform= ccrs.PlateCarree(),\
               cmap=('RdBu_r'),levels=np.arange(20,35))
    ax.add_feature(cfeature.NaturalEarthFeature('physical', 'land', '50m', \
            edgecolor='white', facecolor='white',zorder=2))
    ax.set_xticks(np.arange(0, 361, 30),crs=ccrs.PlateCarree())
    ax.set_yticks(np.arange(-20, 40, 20),crs=ccrs.PlateCarree())
    ax.xaxis.set_major_formatter(LongitudeFormatter(zero_direction_label =False))#经度0不加标识
    ax.yaxis.set_major_formatter(LatitudeFormatter())#加上经纬度°E、N
    ax.tick_params(which='major', direction='inout', length=5, width=0.99,\
                   pad=12, bottom=True, left=True, right=False, top=False)
    ax.set_title('SST-'+str(i))
    ax.set_xlabel('Longitude')
    ax.set_ylabel('Latitude')
    plt.savefig('D:\\desktopppp\\month\\'+str(i)+'.png')#设置保存图片的位置
print('绘制完成')
#=====================绘制gif动画================================
import PIL
import numpy as np
image=[]
mon=np.arange(1,456)#图片的个数
for i in mon:
    new=PIL.Image.open('D:\\desktopppp\\month\\'+str(i)+'.png')
    image.append(new)
image[0].save('SST.gif',format='GIF',
     append_images=image[1: ],
     save_all=True,duration=0.5,
     loop=0)#相关参数设置可以网络搜索一下，duration是间隔速率
print('gif绘制完成')