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
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.
Table of Contents
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]
What Users are saying..
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ETL (Abintio) developer at IBM
I come from a background in Marketing and Analytics and when I developed an interest in Machine Learning algorithms, I did multiple in-class courses from reputed institutions though I got good... Read More
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