利用python将图片转换成excel文档格式

from PIL import Imageimport numpy as npimport timeimport matplotlib.pyplot as pltimport xlsxwriterdef get_xy(row, col): table = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ' num1 = col / 26 num2 = col % 26 # print num1, num2 if num1 == 0:  return table[num2 - 1] + str(row) else:  return table[num1-1] + table[num2 - 1] + str(row)def main(): img = np.array(Image.open('whale.jpeg'))  # plt.figure("whale") # plt.imshow(img) # plt.show() rows, cols, dims = img.shape print img.shape  print img.dtype  print img.size  print type(img) # print img[188, 188, 0] excel = xlsxwriter.Workbook('image_excel.xlsx') cellformat = excel.add_format({'bg_color': '#123456',         'font_color': '#654321'}) worksheet1 = excel.add_worksheet() data = [] color = [''] * cols cellcolor = "" for i in range(rows):  for j in range(cols):   # print hex(img[i, j, 0]), hex(img[i, j, 1]), hex(img[i, j, 2])   cellcolor = (hex(img[i, j, 0]) + hex(img[i, j, 1]) + hex(img[i, j, 2])).replace('0x', '')   # print cellcolor      cellformat = excel.add_format({'bg_color': '#'+cellcolor,            'font_color': '#'+cellcolor})      # cellformat = excel.add_format({'bg_color': '#C6EFCE',    #        'font_color': '#006100'})      worksheet1.conditional_format(get_xy(i, j), {'type': 'cell',              'criteria': '<',              'value': 50,              'format': cellformat})  # data.append(data_row) excel.close() if __name__ == '__main__': main() # print get_xy(133, 27)