numpy.percentile() in python - GeeksforGeeks

01 Sep, 2020
numpy.percentile()function used to compute the nth percentile of the given data (array elements) along the specified axis.  
Syntax : numpy.percentile(arr, n, axis=None, out=None) Parameters : arr :input array. n : percentile value. axis : axis along which we want to calculate the percentile value. Otherwise, it will consider arr to be flattened(works on all the axis). axis = 0 means along the column and axis = 1 means working along the row. out :Different array in which we want to place the result. The array must have same dimensions as expected output. Return :nth Percentile of the array (a scalar value if axis is none)or array with percentile values along specified axis.  
Code #1 : Working  
Python
# Python Program illustrating# numpy.percentile() method   import numpy as np   # 1D arrayarr = [20, 2, 7, 1, 34]print("arr : ", arr)print("50th percentile of arr : ",       np.percentile(arr, 50))print("25th percentile of arr : ",       np.percentile(arr, 25))print("75th percentile of arr : ",       np.percentile(arr, 75))
Output :  
arr :  [20, 2, 7, 1, 34]
50th percentile of arr :  7.0
25th percentile of arr :  2.0
75th percentile of arr :  20.0



  Code #2 :  
Python
# Python Program illustrating# numpy.percentile() method  import numpy as np # 2D arrayarr = [[14, 17, 12, 33, 44],        [15, 6, 27, 8, 19],       [23, 2, 54, 1, 4,]]print("\narr : \n", arr)    # Percentile of the flattened arrayprint("\n50th Percentile of arr, axis = None : ",      np.percentile(arr, 50))print("0th Percentile of arr, axis = None : ",      np.percentile(arr, 0))    # Percentile along the axis = 0print("\n50th Percentile of arr, axis = 0 : ",      np.percentile(arr, 50, axis =0))print("0th Percentile of arr, axis = 0 : ",      np.percentile(arr, 0, axis =0))
Output :  
arr : 
 [[14, 17, 12, 33, 44], [15, 6, 27, 8, 19], [23, 2, 54, 1, 4]]

50th Percentile of arr, axis = None :  15.0
0th Percentile of arr, axis = None :  1.0

50th Percentile of arr, axis = 0 :  [15.  6. 27.  8. 19.]
0th Percentile of arr, axis = 0 :  [14.  2. 12.  1.  4.]

50th Percentile of arr, axis = 1 :  [17. 15.  4.]
0th Percentile of arr, axis = 1 :  [12.  6.  1.]




Code #3 :  
Python
# Python Program illustrating# numpy.percentile() method import numpy as np # 2D arrayarr = [[14, 17, 12, 33, 44],        [15, 6, 27, 8, 19],       [23, 2, 54, 1, 4,]]print("\narr : \n", arr) # Percentile along the axis = 1print("\n50th Percentile of arr, axis = 1 : ",      np.percentile(arr, 50, axis =1))print("0th Percentile of arr, axis = 1 : ",      np.percentile(arr, 0, axis =1))  print("\n0th Percentile of arr, axis = 1 : \n",      np.percentile(arr, 50, axis =1, keepdims=True))print("\n0th Percentile of arr, axis = 1 : \n",      np.percentile(arr, 0, axis =1, keepdims=True))
Output :  
arr : 
 [[14, 17, 12, 33, 44], [15, 6, 27, 8, 19], [23, 2, 54, 1, 4]]

0th Percentile of arr, axis = 1 : 
 [[17.]
 [15.]
 [ 4.]]

0th Percentile of arr, axis = 1 : 
 [[12.]
 [ 6.]
 [ 1.]]



 
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