import Tkinter
import Image
import ImageTk
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.path as path
def die(event = None):
    root.destroy()
    sys.exit(0)
def plot_in_root(event = None):
    global Img_x
    data = int(entry_data.get())
    step = int(entry_step.get())
    plot_figure(data, step)
    Img = Image.open("aa.png").resize((400,300))
    Img_x = ImageTk.PhotoImage(Img)
    cnv.create_image(200, 150, image=Img_x, anchor = "center")
root = Tkinter.Tk()
root.geometry("600x600+100+100")
root.protocol("WM_DELETE_WINDOW", die)
lfr_data = Tkinter.LabelFrame(root)
lfr_data["text"] = "Введите количесво исходных данных"
lfr_data.place(relx = 0.25, rely = 0.2, anchor = "center")
entry_data = Tkinter.Entry(lfr_data)
entry_data["width"] = 38
entry_data.pack()
entry_data.focus_force()
lfr_step = Tkinter.LabelFrame(root)
lfr_step["text"] = "Введите количесво диапазонов данных"
lfr_step.place(relx = 0.75, rely = 0.2, anchor = "center")
entry_step = Tkinter.Entry(lfr_step)
entry_step["width"] = 38
entry_step.pack()
bt = Tkinter.Button(root)
bt["text"] = u"Построить"
bt.bind("<Button-1>", plot_in_root)
bt.place(relx = 0.5, rely = 0.3, anchor = "center")
bt_ex = Tkinter.Button(root)
bt_ex["text"] = u"Выход"
bt_ex.bind("<Button-1>", die)
bt_ex.place(relx = 0.5, rely = 0.9, anchor = "center")
cnv = Tkinter.Canvas(root)
cnv["width"] = 400
cnv["height"] = 300
cnv["bg"] ="grey"
cnv.place(relx = 0.5, rely = 0.6, anchor = "center")
def plot_figure(*argv):
    fig = plt.figure()
    ax = fig.add_subplot(111)
    # histogram our data with numpy
    data = np.random.randn(argv[0])
    n, bins = np.histogram(data, argv[1])
    # get the corners of the rectangles for the histogram
    left = np.array(bins[:-1])
    right = np.array(bins[1:])
    bottom = np.zeros(len(left))
    top = bottom + n
    nrects = len(left)
    # here comes the tricky part -- we have to set up the vertex and path
    # codes arrays using moveto, lineto and closepoly
    # for each rect: 1 for the MOVETO, 3 for the LINETO, 1 for the
    # CLOSEPOLY; the vert for the closepoly is ignored but we still need
    # it to keep the codes aligned with the vertices
    nverts = nrects*(1+3+1)
    verts = np.zeros((nverts, 2))
    codes = np.ones(nverts, int) * path.Path.LINETO
    codes[0::5] = path.Path.MOVETO
    codes[4::5] = path.Path.CLOSEPOLY
    verts[0::5,0] = left
    verts[0::5,1] = bottom
    verts[1::5,0] = left
    verts[1::5,1] = top
    verts[2::5,0] = right
    verts[2::5,1] = top
    verts[3::5,0] = right
    verts[3::5,1] = bottom
    barpath = path.Path(verts, codes)
    patch = patches.PathPatch(barpath, facecolor='red', edgecolor='yellow', alpha=0.5)
    ax.add_patch(patch)
    ax.set_xlim(left[0], right[-1])
    ax.set_ylim(bottom.min(), top.max())
    plt.savefig("aa.png")
root.mainloop()