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explain numpy.atleast_3d() in Python

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numpy.atleast_3d() in Python

The numpy.atleast_3d() function views the inputs as arrays with at least three dimensions.

Syntax

numpy.atleast_3d(*arys)

Parameter

arys1, arys2, … : This parameter represents one or more array-like sequences where the non-array inputs are converted to arrays.

Return

This function returns an array, or list of arrays, each with a.ndim >= 3.

Example 1

# Python Program explaining
# numpy.atleast_3d() function
import numpy as np
int_num = 100
print ("Input  number: \n", int_num)
out_array = np.atleast_3d(int_num)
print ("\n Output 3d array: \n", out_array)

Output

Input  number:
100
Output 3d array:
[[[100]]]

Example 2

# Python Program explaining
# numpy.atleast_3d() function
import numpy as np
arr_list = [[22, 76, 60], 
          [85, 192, 6]]
print ("Input  list: \n", arr_list)
out_array = np.atleast_3d(arr_list) 
print ("\n Output Array: \n", out_array)

Output

Input  list:
[[22, 76, 60], [85, 192, 6]]
Output Array:
[[[ 22]
  [ 76]
  [ 60]]
[[ 85]
  [192]
  [  6]]]

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