使用Matplotlib将图片保存为.tiff格式

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import io
from PIL import Image
custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),
                Line2D([0], [0], color=cmap(.5), lw=4),
                Line2D([0], [0], color=cmap(1.), lw=4)]
N = 10
data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]
data = np.array(data).T
fig, ax = plt.subplots()
lines = ax.plot(data)
ax.legend(custom_lines, ['Cold', 'Medium', 'Hot'])
# Save the image in memory in PNG format
png1 = io.BytesIO()
plt.savefig(png1, format="png", dpi=500, pad_inches = .1, bbox_inches = 'tight')
# Load this image into PIL
png2 = Image.open(png1)
# Save as TIFF
png2.save("ap_qt_ad.tiff")
png1.close()

from libtiff import TIFF
from scipy import misc
##tiff文件解析成图像序列
##tiff_image_name: tiff文件名；
##out_folder：保存图像序列的文件夹
##out_type：保存图像的类型，如.jpg、.png、.bmp等
def tiff_to_image_array(tiff_image_name, out_folder, out_type): 
    tif = TIFF.open(tiff_image_name, mode = "r")
    idx = 0
    for im in list(tif.iter_images()):
        #
        im_name = out_folder + str(idx) + out_type
        misc.imsave(im_name, im)
        print im_name, 'successfully saved!!!'
        idx = idx + 1
    return
##图像序列保存成tiff文件
##image_dir：图像序列所在文件夹
##file_name：要保存的tiff文件名
##image_type:图像序列的类型
##image_num:要保存的图像数目
def image_array_to_tiff(image_dir, file_name, image_type, image_num):
    out_tiff = TIFF.open(file_name, mode = 'w')
    #这里假定图像名按序号排列
    for i in range(0, image_num):
        image_name = image_dir + str(i) + image_type
        image_array = Image.open(image_name)
        #缩放成统一尺寸
        img = image_array.resize((480, 480), Image.ANTIALIAS)
        out_tiff.write_image(img, compression = None, write_rgb = True)
    out_tiff.close()
    return