sustaining_gazes_tnc/test.py

import helpers
import numpy as np
import pickle
import random
from PIL import Image, ImageDraw,ImageTk
import pandas as pd
import seaborn as sns
import time
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure
import sys
if sys.version_info[0] < 3:
    import Tkinter as Tk
else:
    import tkinter as Tk

screenDrawCorners = np.array([[10,60], [90, 60], [10, 110], [90, 110]])
coordinates = pickle.load(open("coordinates.p", "rb"))
print("Loaded coordinates: %s", helpers.coordinatesToSrc(coordinates))
print("Corners: %s", screenDrawCorners)

transform = helpers.create_perspective_transform(helpers.coordinatesToSrc(coordinates), screenDrawCorners)

a = [np.array([ 1312.15541183]), np.array([ 244.56278002])]
midpointTop = (coordinates['tr'] - coordinates['tl'])/2 + coordinates['tl']
midpointCenter = (coordinates['tr'] - coordinates['bl'])/2 + coordinates['bl']
print("Test point %s", a)
print("Transformed point %s", transform(a))
print("Test point %s", midpointTop )
print("Transformed point %s", transform(midpointTop))
print("Test point %s", midpointCenter )
print("Transformed point %s", transform(midpointCenter))


windowRoot = Tk.Tk()
windowSize = (1000,1000)
windowRoot.geometry('%dx%d+%d+%d' % (windowSize[0],windowSize[1],0,0))  
figure = Figure(figsize=(16, 9), dpi=100)
t = np.arange(0.0, 3.0, 0.01)
s = np.sin(2*np.pi*t)

d = {'col1': [1, 2,4], 'col2': [3, 4,9]}
dataframe = pd.DataFrame(data=d)
print(dataframe['col1'])
a = figure.add_subplot(111)
# a = sns.jointplot(x="col1", y="col2", data=dataframe, kind="kde")
# g = sns.jointplot(x="col1", y="col2", data=dataframe, kind="kde")
# g = sns.JointGrid(x="col1", y="col2", data=dataframe)


a.set_title('Tk embedding')
a.set_xlabel('X axis label')
a.set_ylabel('Y label')
# canvas = Tk.Canvas(windowRoot,width=1000,height=1000)
canvas = FigureCanvasTkAgg(figure,master=windowRoot)
canvas.show()
canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)

for b in range(0,1000):
	dataframe = dataframe.append({'col1':b,'col2':random.random()*100}, ignore_index=True)
	a.clear()
	# g.fig = 
	# a.plot(t*b, s)
	# g = sns.jointplot(x="col1", y="col2", data=dataframe, kind="kde", size=1000)
	# g = sns.kdeplot(dataframe['col1'], dataframe['col2'],ax=a, n_levels=30, shade=True, cmap="hsv")
	g = sns.kdeplot(dataframe['col1'], dataframe['col2'],ax=a, n_levels=30, shade=True, cmap="rainbow")
	# print(g, g.fig)
	# g = g.plot_joint(sns.kdeplot, cmap="Blues_d")
	# print(g.fig)
	# canvas.figure = g.figure
	canvas.draw()
	windowRoot.update()
	time.sleep(1)

# Tk.mainloop()