Find what percentile a number is python

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

import numpy as np

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

import numpy as np

arr = [[14, 17, 12, 33, 44], 

       [15, 6, 27, 8, 19],

       [23, 2, 54, 1, 4,]]

print("\narr : \n", arr)

print("\n50th Percentile of arr, axis = None : ",

      np.percentile(arr, 50))

print("0th Percentile of arr, axis = None : ",

      np.percentile(arr, 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

import numpy as np

arr = [[14, 17, 12, 33, 44], 

       [15, 6, 27, 8, 19],

       [23, 2, 54, 1, 4,]]

print("\narr : \n", arr)

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.]]



How do you find the percentile of a number in Python?

percentile() in python. numpy. percentile()function used to compute the nth percentile of the given data (array elements) along the specified axis.

How do you find the percentile of a specific number?

Calculating percentile.
Put your data in ascending order. When calculating the percentile of a set of data, such as test scores, arrange the values in ascending order, starting with the lowest value and ending with the highest. ... .
Divide the number of values below by the total number of values. ... .
Multiply the result..

How do you find the 95th percentile in Python?

Note that when using the pandas quantile() function pass the value of the nth percentile as a fractional value. For example, pass 0.95 to get the 95th percentile value.

How do you find the 75th percentile in pandas?

“how to find the 75th percentile in pandas” Code Answer.
import pandas as pd..
import random..
A = [ random. randint(0,100) for i in range(10) ].
B = [ random. randint(0,100) for i in range(10) ].
df = pd. DataFrame({ 'field_A': A, 'field_B': B }).