python读取图片颜色值并生成excel像素画的方法实例

pip install progressbar -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com

pip install openpyxl -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com

python img2excel_user.py 图片地址 excel保存地址（要加上excel名字）

python img2excel_user.py D:\myPythonProgram\img2excel\3.jpg D:\myPythonProgram\img2excel\3.xlsx

# -*- coding: utf-8 -*-

from PIL import Image
import openpyxl
import openpyxl.styles
from openpyxl.styles import PatternFill
from openpyxl.utils import get_column_letter
from progressbar import *

def RGB_to_Hex(rgb):
 """
 RGB颜色转换成16进制颜色
 :param rgb:
 :return:
 """
 RGB = rgb.split(',') # 将RGB格式划分开来
 color = ''
 for i in RGB:
 num = int(i)
 # 将R、G、B分别转化为16进制拼接转换并大写 hex() 函数用于将10进制整数转换成16进制，以字符串形式表示
 color += str(hex(num))[-2:].replace('x', '0').upper()
 return color

def img2excel(img_path,excelout_path):
 """
 图片转换成excel
 :param img_path: 图片地址
 :param excelout_path: excel保存地址
 :return:
 """
 img_src = Image.open(img_path)
 #宽高
 img_width=img_src.size[0]
 img_height=img_src.size[1]
 print("图片宽%s,高%s"%(img_width,img_height))
 # 类型
 # print(img_src.mode)
 if img_src.mode != "RGB":
 img_src = img_src.convert('RGB')

 str_strlist = img_src.load()
 wb=openpyxl.Workbook()
 wb.save(excelout_path)
 wb=openpyxl.load_workbook(excelout_path)
 sheet=wb["Sheet"]
 sheet.title="img2excel"
 cell_width = 1.0
 cell_height = cell_width * (2.2862 / 0.3612)
 print("正在疯狂生成excel,请耐心等待...")
 #进度条
 widgets=['进度:',Percentage(),'',Bar('#'),'',Timer(),' ', ETA(), ' ']
 pb=ProgressBar(widgets=widgets)
 for w in pb(range(img_width)):
 for h in range(img_height):
 data = str_strlist[w,h]
 # 把元组rgb颜色变成字符串，转换成16进制颜色(1,2,3)-->'1,2,3'
 color=str(data).replace("(","").replace(")","")
 #16进制的颜色,不带前面#号的，要#自己拼接到color前面即可
 color=RGB_to_Hex(color)
 # 设置填充颜色为color,solid参数表示填充实色
 fille=PatternFill("solid",fgColor=color)
 sheet.cell(h+1,w+1).fill=fille
 print("生成完成,正在设置单元格格式...")
 for i in range(1, sheet.max_row+1):
 sheet.row_dimensions[i].height=cell_height
 for i in range(1, sheet.max_column+1):
 sheet.column_dimensions[get_column_letter(i)].width = cell_width
 print('格式设置完成,正在保存excel...')
 wb.save(excelout_path)
 img_src.close()
 print("保存excel成功！请打开[%s]查看"%excelout_path)



if __name__=='__main__':
 import sys,os
 if len(sys.argv)!=3:
 print("请输入图片地址和excel保存的地址\n"
 "例如命令行输入 python img2excel_user.py D:/result.png D:/outExcel.xlsx")
 sys.exit(0)
 else:
 img_virify=['.jpg','.png','.gif','.bmp','.jpeg','.jpe','.jfif']
 excel_virify=['.xlsx','.xlsm','.xltx','.xltm']

 # 图片地址
 img_path=sys.argv[1]
 # excel保存地址
 excelout_path=sys.argv[2]

 endName=os.path.splitext(img_path)
 if endName[1] not in img_virify:
 print("请选择支持的图片类型",img_virify)
 sys.exit(0)

 endName_excel=os.path.splitext(excelout_path)
 if endName_excel[1] not in excel_virify:
 print("excel 格式不支持，请选择支持的格式",excel_virify)
 sys.exit(0)
 img2excel(r""+img_path+"",excelout_path)