How to compute the min-by-max for each row for a numpy array 2d?
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How to compute the min-by-max for each row for a numpy array 2d?

How to compute the min-by-max for each row for a numpy array 2d?

This recipe helps you compute the min-by-max for each row for a numpy array 2d

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Recipe Objective

How to compute the min-by-max for each row for a numpy array 2d? We can find the minimum and maximum values from the each row of a 2D numpy array by using the "min" and "max" functions available in the Numpy library.

Step 1 - Import the library

import numpy as np

Step 2 - Take a Sample array

Sample_array = np.array([[1,2,33],[4,5,6],[7,8,9]]) print("This is a Sample array:","\n",Sample_array)
This is a Sample array: 
 [[ 1  2 33]
 [ 4  5  6]
 [ 7  8  9]]

Step 3 - find minimum and maximum

print("The minimum value from each row is:","\n",np.min(Sample_array, axis=1),"\n") print("The maximum value from each row is:","\n",np.max(Sample_array, axis=1))
The minimum value from each row is: 
 [1 4 7] 

The maximum value from each row is: 
 [33  6  9]

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