写春联pyrequestsPILmatplotlib

　　1 效果
　　2 说明
　　=====
　　2.1 参考来源https://blog.csdn.net/xufive/article/details/104059396
　　2.2 修改：对源代码的垂直对联V进行适当修改，用matplotlib展示图片。
　　3 代码
　　=====
　　3.1 第1步：导入模块import io import requests from PIL import Image import matplotlib.pyplot as plt  #用来展示图片
　　3.2 第2步：定义函数，获取在线汉字样式def get_word(ch, quality):     ＂＂＂获取单个汉字（字符）的图片     ch          - 单个汉字或英文字母（仅支持大写）     quality     - 单字分辨率，H-640像素，M-480像素，L-320像素     ＂＂＂     # 把请求到的数据转换为Bytes字节流     fp = io.BytesIO(requests.post(url=＂http://xufive.sdysit.com/tk＂, data={＂ch＂:ch}).content)     im = Image.open(fp)     w, h = im.size     if quality == ＂M＂:         w, h = int(w*0.75), int(0.75*h)     elif quality == ＂L＂:         w, h = int(w*0.5), int(0.5*h)          return im.resize((w,h))
　　3.3 第3步：获取对联背景图def get_bg(quality):     ＂＂＂获取春联背景的图片＂＂＂          return get_word(＂bg＂, quality)
　　3.4 第4步：写春联def write_couplets(text, HorV=＂V＂, quality=＂L＂, out_file=None):     ＂＂＂生成春联     text        - 春联内容，以空格断行     HorV        - H-横排，V-竖排     quality     - 单字分辨率，H-640像素，M-480像素，L-320像素     out_file    - 输出文件名     ＂＂＂          usize = {＂H＂:(640,23), ＂M＂:(480,18), ＂L＂:(320,12)}     bg_im = get_bg(quality)     text_list = [list(item) for item in text.split()]     #行     rows = len(text_list)     #列，一般是2     cols = max([len(item) for item in text_list])          if HorV == ＂V＂:         #40+cols是与下边的距离,40+rows是与左边的距离         ow, oh = 40+rows*usize[quality][0]+(rows-1)*10, 40+cols*usize[quality][0]     else:         ow, oh = 40+cols*usize[quality][0], 40+rows*usize[quality][0]+(rows-1)*10     #out_im = Image.new(＂RGBA＂, (ow, oh), ＂#f0f0f0＂)     #春联的画布的底色是黄色，大小     out_im = Image.new(＂RGBA＂, (ow+2000, oh), ＂yellow＂)     for row in range(rows):         if HorV == ＂V＂:             #row_im = Image.new(＂RGBA＂, (usize[quality][0], cols*usize[quality][0]), ＂white＂)             row_im = Image.new(＂RGBA＂, (usize[quality][0], cols*usize[quality][0]), ＂yellow＂)             #20是与上面的距离             #offset = (ow-(usize[quality][0]+10)*(row+1)-10, 20)             #+4000是与左边的距离，左边对联             #+2000是与左边距离，右边对联             offset = (ow-(usize[quality][0]+2000)*(row+1)+4000, 20)         else:             row_im = Image.new(＂RGBA＂, (cols*usize[quality][0], usize[quality][0]), ＂white＂)             offset = (20, 20+(usize[quality][0]+10)*row)                    for col, ch in enumerate(text_list[row]):             if HorV == ＂V＂:                 pos = (0, col*usize[quality][0])                   else:                 pos = (col*usize[quality][0],0)                          ch_im = get_word(ch, quality)             row_im.paste(bg_im, pos)             row_im.paste(ch_im, (pos[0]+usize[quality][1], pos[1]+usize[quality][1]), mask=ch_im)                      out_im.paste(row_im, offset)          if out_file:         out_im.convert(＂RGB＂).save(out_file)          #改进一下，用matplotlib显示图片     imgxx = plt.imread(out_file)     plt.imshow(imgxx)     plt.axis(＂off＂)     plt.show()     #用image显示     #out_im.show()
　　3.5 第5步：改成终端输入对联文字text=input(＂请输入对联：＂) #text = ＂普天同庆 欢度春节＂ #保存和显示图片 write_couplets(text, HorV=＂V＂, quality=＂M＂, out_file=＂chunlian.jpg＂)  ＂＂＂ 例如：注意上联和下联之间有一个空格 爆竹声声辞旧岁 和风送暖迎新春  ＂＂＂
　　4 简洁完整的代码：import io import requests from PIL import Image import matplotlib.pyplot as plt    def get_word(ch, quality):     fp = io.BytesIO(requests.post(url=＂http://xufive.sdysit.com/tk＂, data={＂ch＂:ch}).content)     im = Image.open(fp)     w, h = im.size     if quality == ＂M＂:         w, h = int(w*0.75), int(0.75*h)     elif quality == ＂L＂:         w, h = int(w*0.5), int(0.5*h)          return im.resize((w,h))  def get_bg(quality):     return get_word(＂bg＂, quality)  def write_couplets(text, HorV=＂V＂, quality=＂L＂, out_file=None):     usize = {＂H＂:(640,23), ＂M＂:(480,18), ＂L＂:(320,12)}     bg_im = get_bg(quality)     text_list = [list(item) for item in text.split()]     rows = len(text_list)     cols = max([len(item) for item in text_list])     if HorV == ＂V＂:         ow, oh = 40+rows*usize[quality][0]+(rows-1)*10, 40+cols*usize[quality][0]     else:         ow, oh = 40+cols*usize[quality][0], 40+rows*usize[quality][0]+(rows-1)*10     out_im = Image.new(＂RGBA＂, (ow+2000, oh), ＂yellow＂)     for row in range(rows):         if HorV == ＂V＂:             row_im = Image.new(＂RGBA＂, (usize[quality][0], cols*usize[quality][0]), ＂yellow＂)             offset = (ow-(usize[quality][0]+2000)*(row+1)+4000, 20)         else:             row_im = Image.new(＂RGBA＂, (cols*usize[quality][0], usize[quality][0]), ＂white＂)             offset = (20, 20+(usize[quality][0]+10)*row)                    for col, ch in enumerate(text_list[row]):             if HorV == ＂V＂:                 pos = (0, col*usize[quality][0])                   else:                 pos = (col*usize[quality][0],0)                          ch_im = get_word(ch, quality)             row_im.paste(bg_im, pos)             row_im.paste(ch_im, (pos[0]+usize[quality][1], pos[1]+usize[quality][1]), mask=ch_im)                      out_im.paste(row_im, offset)          if out_file:         out_im.convert(＂RGB＂).save(out_file)          imgxx = plt.imread(out_file)     plt.imshow(imgxx)     plt.axis(＂off＂)     plt.show()  text=input(＂请输入对联：＂) write_couplets(text, HorV=＂V＂, quality=＂M＂, out_file=＂chunlian.jpg＂)
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