用python寫一個福字（附完整代碼）

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前言：

支付寶 2022 集五福活動正式開啟

數據顯示，過去六年累計參與支付寶集五福的人數已經超過瞭 7 億，每 2 個中國人裡就有 1 個曾掃福、集福、送福。

一，掃五福活動如此火爆，為何不自己利用編程來生成福字！

首先作品奉上：

在這裡插入圖片描述

①，導入python庫

import io
from PIL import Image
import requests

②，利用爬蟲，獲取單個漢字

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 的作用為爬取我們需要的漢字模型。
如圖：

在這裡插入圖片描述

③，爬取背景底圖

def get_bg(quality):
    return get_word('bg', quality)

④，圖片格式大小，配置函數

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

在這裡插入圖片描述

二，完整代碼

完整代碼奉上，需要先安裝需要的python庫。

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，總結

到此這篇關於用python寫一個福字（附完整代碼）的文章就介紹到這瞭,更多相關python寫福字內容請搜索WalkonNet以前的文章或繼續瀏覽下面的相關文章希望大傢以後多多支持WalkonNet！

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