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# numpy.percentile () in python

`numpy.percentile()` used to calculate the n-th precentile of 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: Work

 ` # Python program illustrating ` ` # numpy.percentile () method `   ` import ` ` numpy as np `   ` # 1D array ` ` arr ` ` = ` ` [` ` 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] 30th percentile of arr: 7.0 25th percentile of arr: 2.0 75th percentile of arr: 20.0 `

Code # 2:

 ` # Python program illustrating ` ` # numpy.percentile () method `   ` import ` ` numpy as np `   ` # 2D array ` ` arr ` ` = ` ` [[` ` 14 ` `, ` 17 `, ` ` 12 ` `, ` ` 33 ` `, ` ` 44 ` `], ` ` [` ` 15 ` `, ` ` 6 ` `, ` ` 27 ` `, ` ` 8 ` `, ` ` 19 ` `], ` ` [` ` 23 ` `, ` ` 2 ` `, ` ` 54 ` `, ` ` 1 ` ` , ` ` 4 ` `,]] ` ` print ` ` (` ` "arr:" ` `, arr) `   ` # Flattened array percentile ` ` print ` ` (` ` "50th Percentile of arr, axis = None:" ` `, ` ` np.percentile (arr, ` ` 50 ` `)) ` ` print ` ` (` ` "0th Percentile of arr, axis = None:" ` `, ` ` np.percentile (arr, ` ` 0 ` `)) `   ` # Axis percentile = 0 ` ` print ` ( ` "50th 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 program illustrating ` ` # numpy.percentile () method `   ` import ` ` numpy as np `   ` # 2D array ` ` arr ` ` = ` ` [[` ` 14 ` `, ` ` 17 ` `, ` ` 12 ` `, ` ` 33 ` `, ` ` 44 ` `], ` ` [` ` 15 ` `, ` ` 6 ` `, ` ` 27 ` `, ` ` 8 ` `, ` ` 19 ` `], ` ` [` ` 23 ` `, ` ` 2 ` `, ` ` 54 ` `, ` ` 1 ` `, ` ` 4 ` `,]] ` ` print ` ` (` ` "arr:" ` `, arr) `   ` # Axis percentile = 1 ` ` print ` ` (` `" 50th 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 ( "0th Percentile of arr, axis = 1:" ,  np.percentile (arr, 50 , axis = 1 , keepdims = True )) print ( "0th Percentile of arr, axis = 1: " ,    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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