0 votes
in Python by
explain numpy.atleast_2d() in Python

1 Answer

0 votes
by

numpy.atleast_2d() in Python

The numpy.atleast_2d() function converts the inputs as arrays with at least two dimensions.

Syntax

numpy.atleast_2d(*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 (ndarray), or list of arrays, each with a.ndim >= 2.

Example 1

# Python Program explaining
# numpy.atleast_2d() function
import numpy as np
int_num = 100
print ("Input  number: \n", int_num)
out_array = np.atleast_2d(int_num)
print ("\n Output 2d array: \n", out_array)

Output

Input  number:
100
Output 2d array:
[[100]]

Example 2

# Python Program explaining
# numpy.atleast_2d() function
import numpy as np
arr_list = [[22, 76, 60], 
          [85, 192, 6]]
print ("Input  list: \n", arr_list)
out_array = np.atleast_2d(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]]

Related questions

0 votes
asked May 19, 2022 in Python by john ganales
0 votes
asked May 19, 2022 in Python by john ganales
...