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# numpy.percentile() in python

• Last Updated : 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 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]
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 array``arr ``=` `[[``14``, ``17``, ``12``, ``33``, ``44``], ``       ``[``15``, ``6``, ``27``, ``8``, ``19``],``       ``[``23``, ``2``, ``54``, ``1``, ``4``,]]``print``(``"\narr : \n"``, arr)``   ` `# Percentile of the flattened array``print``(``"\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 = 0``print``(``"\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 array``arr ``=` `[[``14``, ``17``, ``12``, ``33``, ``44``], ``       ``[``15``, ``6``, ``27``, ``8``, ``19``],``       ``[``23``, ``2``, ``54``, ``1``, ``4``,]]``print``(``"\narr : \n"``, arr)` `# Percentile along the axis = 1``print``(``"\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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