Python get percentile of value in list

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 list in Python?

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..

How do you find the percentile of a list?

Steps of Percentile Formula.
Step 1: Arrange the data set in ascending order..
Step 2: Count the number of values in the data set and represent it as r..
Step 3: Calculate the value of q/100..
Step 4: Multiply q percent by r..
Step 5: If the answer is not a whole number then rounding the number is required..

How do you get 95 percentile in pandas?

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 percentile of a DataFrame in Python?

Pandas Quantile Method Overview.
q=[0.5] : a float or an array that provides the value[s] of quantiles to calculate..
axis=[0] : the axis to calculate the percentiles on [0 for row-wise and 1 for column-wise].
numeric_only=[True] : is set to False , calculate the values for datetime and timedelta columns as well..

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