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)
