numpy - 图1
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np array

np arry to list

  1. import numpy as np
  3. List = arry.tolist()

Create a list

  1. print(np.linspace(0, 100, 51))
  1. [  0.   2.   4.   6.   8.  10.  12.  14.  16.  18.  20.  22.  24.  26.
  2.   28.  30.  32.  34.  36.  38.  40.  42.  44.  46.  48.  50.  52.  54.
  3.   56.  58.  60.  62.  64.  66.  68.  70.  72.  74.  76.  78.  80.  82.
  4.   84.  86.  88.  90.  92.  94.  96.  98. 100.]

np arrary caculating

np.arrary sum()

  1. np.sum(array1-array2)

np arrary append

append

  1. np.append(np1, np2,axis=0)

Reduce Dimension

  1. x = np.array([[1, 2],[3, 4]])
  2. print(np.ravel(x))      
  3. print(np.ravel(x,'F'))

Locating (argwhere)

  1. arr = np.random.randint(0,10, (3,4))  
  2. index = np.argwhere(arr < 5)
  3. index2 = np.where(arr < 5)
  5. >>> index
  6. array([[0, 2],
  7.        [0, 3],
  8.        [1, 1],
  9.        [2, 0],
  10.        [2, 3]])
  11. >>> index2
  12. (array([0, 0, 1, 2, 2]), array([2, 3, 1, 0, 3]))

Axis

Axis flip / swap

  1. frame2 = frame.swapaxes(0,1)
  3. frame.shape
  4. frame2.shape
  1. (360, 480, 3)
  2. (480, 360, 3)

Replace

  1. arr[arr > 255] = x

Enjoy~

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