from PIL import Image
import numpy as np
import time
import matplotlib.pyplot as plt
import xlsxwriter
def 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)