displaying the values in text box using tkinter

[varshaholla]

I wanted to display the blue mean value in the text box, but it is giving me an error

blue.set(B_mean1)
AttributeError: 'numpy.ndarray' object has no attribute 'set'

And this is my code:

from Tkinter import Tk, Frame, BOTH
from Tkinter import *
import cv2
from collections import *
from CBIR import *
from experiment import *
from scipy.spatial import distance
import Tkinter,tkFileDialog
from PIL import Image, ImageTk

class Example(Frame):
   def __init__(self, parent):
      Frame.__init__(self, parent,background="light grey")            
      self.parent = parent        
      self.initUI()

  def initUI(self):    
      self.parent.title("PISE")
      self.pack(fill=BOTH, expand=1)

def open():
   path=tkFileDialog.askopenfilename(filetypes=[("Image File",'.jpg')])
   custName.set(path)
   im = Image.open(path)
   tkimage = ImageTk.PhotoImage(im)
   myvar=Label(root,image = tkimage)
   myvar.image = tkimage
   myvar.pack()
   myvar.place(x = 100, y = 100) 
   graylist1 = list()
   resizelist1 = list()
   eq_graylist1 = list()
   cont_list1 = list()
   ene_list1 = list()
   homo_list1 = list()
   cor_list1 = list()
   B_mean1 = list()
   G_mean1 = list()
   R_mean1 = list()
   dis_list1 = list()

   imge = cv2.imread(path)
   arr = array(imge)
   g_img = cv2.imread(path,0)
   gray_re_img = cv2.resize(g_img,(256,256))
   graylist1.append(gray_re_img)

   equ = cv2.equalizeHist(gray_re_img)
   eq_graylist1.append(equ)

   re_img = cv2.resize(imge,(256,256))
   resizelist1.append(re_img)

   blue, green, red = cv2.split(re_img)
   total = re_img.size
   B = sum(blue) / total
   G = sum(green) / total
   R = sum(red) / total
   B_mean1.append(B)
   G_mean1.append(G)
   R_mean1.append(R)

   im = skimage.io.imread(path, as_grey=True)
   im = skimage.img_as_ubyte(im)
   im /= 32
   g = skimage.feature.greycomatrix(im, [1], [0], levels=8, symmetric=False, normed=True)
   cont = skimage.feature.greycoprops(g, 'contrast')[0][0]
   cont_list1.append(cont)
   ene = skimage.feature.greycoprops(g, 'energy')[0][0]
   ene_list1.append(ene)
   homo = skimage.feature.greycoprops(g, 'homogeneity')[0][0]
   homo_list1.append(homo)
   cor = skimage.feature.greycoprops(g, 'correlation')[0][0]
   cor_list1.append(cor)
   dis = skimage.feature.greycoprops(g, 'dissimilarity')[0][0]
   dis_list1.append(dis)

   feature_matrix_ip = zip( B_mean1 , G_mean1 , R_mean1, cont_list1 , ene_list1 , homo_list1 , cor_list1 , dis_list1)
   blue.set(B_mean1)

root = Tk()
root.geometry("1105x605+300+300")
app = Example(root)

label = Label(app, text='Python Image Search', fg = 'black',font = 'PoorRichard 24')
label.pack()
label.place(y = 5, x = 0)

img = Image.open('logo.png')
bg_img = ImageTk.PhotoImage(img)

label1 = Label(app, image = bg_img)
label1.place(y = 5, x = 1225)

custName = StringVar(None)
yourName = Entry(app, textvariable=custName)
yourName.grid(column=0,row=0,sticky='EW')
 yourName.update()
yourName.focus_set()
yourName.pack(padx = 20, pady = 20,anchor='n')
yourName.place(y = 60, x = 100, width = 525, height = 25)

blue_label = Label(app,text = 'Blue Mean')
blue_label.place(x = 850,y = 140)
blue = IntVar()
blue_text = Entry(app,textvariable = blue)
blue_text.place(x = 1000,y = 140)

button = Button(app, text='Select an Image',command = open)
button.pack(padx = 1, pady = 1,anchor='ne')
button.place( x = 650, y = 60)

root.mainloop() 

Any suggestions are welcome
Thanks in advance!

[rrashkin]

It seems this, blue = IntVar(), defines "blue". I've had poor results trying to use any widget's textvariable in Tkinter (as opposed to Tk). I think you would need to explicitly set the variable, blue, in the entry widget, blue_text, app.blue_text.insert(0,blue) (I think that's the right syntax).

[woooee]

You use the variable name "blue" in two different places.