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  1. import json
  2. from matplotlib import pyplot as plt
  3. import matplotlib
  4. import pandas as pd
  5.  
  6.  
  7.  
  8. with open("wiki_et.txt") as gd:
  9.     data = gd.read()
  10.    
  11. t = []
  12. x = []
  13. y = []
  14.  
  15. for line in data.split('\n'):
  16.     try:
  17.         a = float(line.replace('Gaze point: ','').split(', ')[0])
  18.     except:
  19.         continue
  20.        
  21.     try:
  22.         b = 1-(float(line.replace('Gaze point: ','').split(', ')[1]))
  23.     except:
  24.         continue
  25.        
  26.     x.append(a)
  27.     y.append(b)
  28.  
  29. for i in range(len(x)):
  30.     t.append(i)
  31.  
  32.  
  33. fig, ax = plt.subplots(figsize=(16,9))
  34. ax.set(xlim=(0, 1), ylim=(0, 1))
  35. plt.plot(x,y,alpha=0.4,c='r',linewidth=2)
  36. plt.scatter(x,y,marker='.',s=500,alpha=0.01)
  37.  
  38. ###!
  39.  
  40.  
  41. import numpy as np
  42. import matplotlib
  43. import matplotlib.pyplot as plt
  44.  
  45.  
  46.  
  47.  
  48. x = []
  49. y = []
  50.  
  51. for line in data.split('\n'):
  52.     try:
  53.         a = float(line.replace('Gaze point: ','').split(', ')[0])
  54.     except:
  55.         continue
  56.        
  57.     try:
  58.         b = 1-(float(line.replace('Gaze point: ','').split(', ')[1]))
  59.     except:
  60.         continue
  61.        
  62.     x.append(a)
  63.     y.append(b)
  64.  
  65.  
  66.  
  67.  
  68.  
  69. fig,ax = plt.subplots(figsize=(16,9))
  70. ax.set_xlim(xmin=0, xmax=1)
  71.  
  72. # Construct 2D histogram from data using the 'plasma' colormap
  73. plt.hist2d(
  74.     x,
  75.     y,
  76.     bins=(15,18),
  77.     density=False,
  78.     cmap='YlOrRd',
  79.     cmin=15,
  80.     range=([0,1],[0,1])
  81. )
  82.  
  83. # Plot a colorbar with label.
  84. cb = plt.colorbar()
  85. cb.set_label('Number of entries')
  86.  
  87. # Plot line
  88. plt.plot(x,y,alpha=0.4,c='b',linewidth=2)
  89.  
  90. # Add title and labels to plot.
  91. plt.title('Heatmap of gaze data points')
  92. plt.xlabel('x axis')
  93. plt.ylabel('y axis')
  94.  
  95. # legend
  96.  
  97.  
  98. # Show the plot.
  99. plt.show()
  100.  
  101.  
  102. print(f"With {len(x)} coordinates captured and the eye-tracker recording at 90 Hz,\nthe timespan of the recording is around {round((len(x)/90),2)} seconds or {round((len(x)/90/60),2)} minutes.")
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