How to find the maximum and minimum value in NumPy 1d-array?
Let’s see the various ways to find the maximum and minimum value in NumPy 1d-array.
Method 1: Using numpy.amax() and numpy.amin() functions of NumPy library.
- numpy.amax(): This function returns maximum of an array or maximum along axis(if mentioned).
- numpy.amin(): This function returns minimum of an array or minimum along axis(if mentioned).
Example:
Python3
import numpy as np
array = np.array([ 1 , 2 , 3 ,
0 , - 1 , - 2 ])
max_ele = np.amax(array)
min_ele = np.amin(array)
print ( "Given Array:" , array)
print ( "Max Element:" , max_ele)
print ( "Min Element:" , min_ele)
|
Output:
Given Array: [ 1 2 3 0 -1 -2]
Max Element: 3
Min Element: -2
Method 2: Using numpy.argmax() and numpy.argmin() function of NumPy library.
- numpy.argmax(): This function returns indices of the max element of the array in a particular axis(if mentioned).
- numpy.argmin(): This function returns indices of the min element of the array in a particular axis(if mentioned).
Example:
Python3
import numpy as np
array = np.array([ 1 , 2 , 3 ,
0 , - 1 , - 2 ])
max_ele_index = np.argmax(array)
max_ele = array[max_ele_index]
min_ele_index = np.argmin(array)
min_ele = array[min_ele_index]
print ( "Given Array:" , array)
print ( "Max Element:" , max_ele)
print ( "Min Element:" , min_ele)
|
Output:
Given Array: [ 1 2 3 0 -1 -2]
Max Element: 3
Min Element: -2
Last Updated :
02 May, 2022
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