Numpy.amin() method “returns the minimum of an array or minimum along the axis(if mentioned).”
Syntax
numpy.amin(arr, axis=None, out=None, keepdims=<no value>, initial=<no value>)
Parameters
Numpy amin() function takes up to 4 arguments:
- arr -> This is the array from which we can find the min value
- axis -> This indicates where we want to find the smallest element. Otherwise, it will consider the array flattened. In this case, if we provide axis=0, it returns an array containing the smallest element for each column. If axis=1, it returns an array containing the smallest element from each row.
- out -> This is an optional field. This indicates an alternative output array in which the result is placed.
- keepdims -> This is an optional field. If this is set to True, the reduced axis is left as dimensions with size one. With this option, the result will broadcast correctly against an input array. If a default value is passed, keepdims will not be passed through to all methods of sub-classes of ndarray; however, any non-default value will be. Any exceptions will be raised if the sub-classes sum method does not implement keepdims.
Return Value
The np.amin() method returns the minimum of an array of two types.
- Scaler -> If the axis is mentioned, None.
- Array -> Of dimension arr.ndim-1 if the axis is mentioned.
Example 1: How does the np.amin() method work
import numpy as np
# We will create an 1D array
arr = np.array([47, 20, 41, 63, 21, 4, 74])
# Printing the array
print("The array is: ", arr)
# Shape of the array
print("Shape of the array is : ", np.shape(arr))
# Now we will print min value of this array
print("Minimum value of the given array is: ", np.amin(arr))
Output
The array is: [47 20 41 63 21 4 74]
Shape of the array is : (7,)
Minimum value of the given array is: 4Example 2: How to Use np.amin() method
#Importing numpy
import numpy as np
# We will create a 2D array
# Of shape 4x3
arr = np.array([(14, 2, 34), (41, 5, 46), (71, 38, 29), (50, 57, 52)])
# Printing the array
print("The array is: ")
print(arr)
print("Shape of the array is: ", np.shape(arr))
# Now we will find the minimun value for some cases
# Minimum value of the whole array
print("Minimum value of the whole array is: ", np.amin(arr))
# Minimum value of each row
a = np.amin(arr, axis=1)
print("Minimum value of each row of the array is: ", a)
# Minimum value of each column
b = np.amin(arr, axis=0)
print("Minimum value of each column of the array is: ", b)
Output
The array is:
[[14 2 34]
[41 5 46]
[71 38 29]
[50 57 52]]
Shape of the array is: (4, 3)
Minimum value of the whole array is: 2
Minimum value of each row of the array is: [ 2 5 29 50]
Minimum value of each column of the array is: [14 2 29]That’s it.
Ankit Lathiya is a Master of Computer Application by education and Android and Laravel Developer by profession and one of the authors of this blog. He is also expert in JavaScript and Python development.
