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Binarize Data

Unsolved
Data Wrangling

Difficulty: 2 | Problem written by mesakarghm
Problem reported in interviews at

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Netflix

Data Binarization is the process of converting continuous or categorical data to binary form using a threshold. Write a function binarize(arr,thresh) which converts the input array (1D list) to binary form (1D numpy array) using the given threshold. Data points above the threshold should be converted to "1", otherwise they should be converted to "0".

 

Sample Input:
<class 'list'>
arr: [100, 50, 10, 9]
<class 'int'>
threshold: 25

Expected Output:
<class 'numpy.ndarray'>
[1 1 0 0]

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Comments
Jump to comment-78
rafi • 7¬†months, 2¬†weeks ago

0

We can use NumPy to manipulate the array.

import numpy as np



# Please do not change the below function name and parameters
def binarize(arr,threshold):
    arr = np.array(arr)
    bin = (arr>threshold).astype(np.int_)
    return bin

 

Ready.

Input Test Case

Please enter only one test case at a time
numpy has been already imported as np (import numpy as np)