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By: a guest on May 11th, 2012  |  syntax: None  |  size: 2.25 KB  |  hits: 27  |  expires: Never
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  1. connecting all numpy array plot points to each other using plt.plot() from matplotlib
  2. plt.plot(*zip(*v.T)) #to plot all the points
  3.      viewVX = (v[0]).T
  4.      viewVY = (v[1]).T
  5.      for i in range(0, 49):
  6.         xPoints = viewVX[i], viewVX[i+1]
  7.         print("xPoints is", xPoints)
  8.         yPoints = viewVY[i+2], viewVY[i+3]
  9.         print("yPoints is", yPoints)
  10.         xy = xPoints, yPoints
  11.         plt.plot(*zip(*xy), ls ='-')
  12.        
  13. import matplotlib.pyplot as plt
  14. import numpy as np
  15. import itertools
  16.  
  17. v=np.random.random((2,50))
  18. plt.plot(
  19.     *zip(*itertools.chain.from_iterable(itertools.combinations(v.T,2))),
  20.     marker='o', markerfacecolor='red')
  21. plt.show()
  22.        
  23. In [4]: import numpy as np
  24. In [5]: import itertools
  25. In [7]: v=np.arange(8).reshape(2,4)
  26. In [8]: v
  27. Out[8]:
  28. array([[0, 1, 2, 3],
  29.        [4, 5, 6, 7]])
  30.        
  31. In [10]: list(itertools.combinations(v.T,2))
  32. Out[10]:
  33. [(array([0, 4]), array([1, 5])),
  34.  (array([0, 4]), array([2, 6])),
  35.  (array([0, 4]), array([3, 7])),
  36.  (array([1, 5]), array([2, 6])),
  37.  (array([1, 5]), array([3, 7])),
  38.  (array([2, 6]), array([3, 7]))]
  39.        
  40. In [11]: list(itertools.chain.from_iterable(itertools.combinations(v.T,2)))
  41. Out[11]:
  42. [array([0, 4]),
  43.  array([1, 5]),
  44.  array([0, 4]),
  45.  array([2, 6]),
  46.  array([0, 4]),
  47.  array([3, 7]),
  48.  array([1, 5]),
  49.  array([2, 6]),
  50.  array([1, 5]),
  51.  array([3, 7]),
  52.  array([2, 6]),
  53.  array([3, 7])]
  54.        
  55. In [12]: zip(*itertools.chain.from_iterable(itertools.combinations(v.T,2)))
  56. Out[12]: [(0, 1, 0, 2, 0, 3, 1, 2, 1, 3, 2, 3), (4, 5, 4, 6, 4, 7, 5, 6, 5, 7, 6, 7)]
  57.        
  58. for i in range(0, 49):
  59.     xPoints = viewVX[i], viewVX[i+1]
  60.     print("xPoints is", xPoints)
  61.     yPoints = viewVY[i+2], viewVY[i+3]
  62.        
  63. def plot_complete(v):
  64.      for x1, y1 in v.T:
  65.           for x2, y2, in v.T:
  66.              plt.plot([x1, x2], [y1, y2], 'b')
  67.      plt.plot(v[0], v[1], 'sr')
  68.        
  69. viewVX = (v[0]).T #this is if your matrix is 2x100 ie row [0] is x and row[1] is y
  70.         viewVY = (v[1]).T
  71.         for i in range(0, v.shape[1]): #v.shape[1] gives the number of columns
  72.            for j in range(0, v.shape[1]):
  73.               xPoints = viewVX[j], viewVX[i]
  74.               yPoints = viewVY[j], viewVY[i]
  75.               xy = [xPoints, yPoints]         #tuple/array of xx, yy point
  76.               #print("xy points are", xy)
  77.               plt.plot(xy[0],xy[1], ls ='-')
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