用python写一个福字(附完整代码)
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2022-03-09 08:32:36
目录前言:一,扫五福活动如此火爆,为何不自己利用编程来生成福字!二,完整代码三,总结前言:支付宝 2022 集五福活动正式开启数据显示,过去六年累计参与支付宝集五福的人数已经超过了 7 亿,每 2 个...
前言:
支付宝 2022 集五福活动正式开启
数据显示,过去六年累计参与支付宝集五福的人数已经超过了 7 亿,每 2 个中国人里就有 1 个曾扫福、集福、送福。
一,扫五福活动如此火爆,为何不自己利用编程来生成福字!
首先作品奉上:
①,导入python库
import io from pil import image import requests
②,利用爬虫,获取单个汉字
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_word 的作用为爬取我们需要的汉字模型。
如图:
③,爬取背景底图
def get_bg(quality): return get_word('bg', quality)
④,图片格式大小,配置函数
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, oh), '#f0f0f0') for row in range(rows): if horv == 'v': row_im = image.new('rgba', (usize[quality][0], cols*usize[quality][0]), 'white') offset = (ow-(usize[quality][0]+10)*(row+1)-10, 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) out_im.show()
⑤,成品展示
二,完整代码
完整代码奉上,需要先安装需要的python库。
import io from pil import image import requests 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, oh), '#f0f0f0') for row in range(rows): if horv == 'v': row_im = image.new('rgba', (usize[quality][0], cols*usize[quality][0]), 'white') offset = (ow-(usize[quality][0]+10)*(row+1)-10, 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) out_im.show() text = '福' write_couplets(text, horv='v', quality='m', out_file='福.jpg')
三,总结
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