numpy.amin() in Python - GeeksforGeeks

numpy.amin(arr, axis = None, out = None, keepdims = <class numpy._globals._NoValue>) returns minimum of an array or minimum along axis(if mentioned).

Parameters –

arr : [array_like]input data
axis : [int or tuples of int]axis along which we want the min value. Otherwise, it will consider arr to be flattened.
out : [ndarray, optional]Alternative output array in which to place the result
keepdmis : [boolean, optional]If this is set to True, the axes which are reduced are left in
the result as dimensions with size one. With this option, the result will broadcast correctly against
the input array. If the default value is passed, then keepdims will not be passed through to the all
method of sub-classes of ndarray, however any non-default value will be. If the sub-classes sum method
does not implement keepdims any exceptions will be raised.

Return –

Minimum of array – arr[ndarray or scalar], scalar if axis is None;
the result is an array of dimension a.ndim – 1, if axis is mentioned.

Code –

# Python Program illustrating 
# numpy.amin() method 
  
import numpy as geek 
  
# 1D array 
arr = geek.arange(8) 
print("arr : ", arr) 
print("Min of arr : ", geek.amin(arr)) 
  
# 2D array 
arr = geek.arange(10).reshape(2, 5) 
print("\narr : ", arr) 
  
# Minimum of the flattened array 
print("\nMin of arr, axis = None : ", geek.amin(arr)) 
  
# Minimum along the first axis 
# axis 0 means vertical 
print("Min of arr, axis = 0 : ", geek.amin(arr, axis = 0)) 
  
# Minimum along the second axis 
# axis 1 means horizontal 
print("Min of arr, axis = 1 : ", geek.amin(arr, axis = 1))    

Output –

arr :  [0 1 2 3 4 5 6 7]
Min of arr :  0

arr :  [[0 1 2 3 4]
 [5 6 7 8 9]]

Min of arr, axis = None :  0
Min of arr, axis = 0 :  [0 1 2 3 4]
Min of arr, axis = 1 :  [0 5]

References –
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.amin.html#numpy.amin

Note –
These codes won’t run on online-ID. Please run them on your systems to explore the working
.
This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.

My Personal Notes

Recommended Posts: