Convert Python Nested Lists to Multidimensional NumPy Arrays

Prerequisite: Python List, Numpy ndarray

Both lists and NumPy arrays are inter-convertible. Since NumPy is a fast (High-performance) Python library for performing mathematical operations so it is preferred to work on NumPy arrays rather than nested lists.

Method 1: Using numpy.array().

Approach :

• Import numpy package.
• Initialize the nested list and then use numpy.array() function to convert the list to an array and store it in a different object.
• Display both list and NumPy array and observe the difference.

Below is the implementation.

# importing numpy library  import numpy # initializing list  ls = [[1, 7, 0], [ 6, 2, 5]] # converting list to array  ar = numpy.array(ls) # displaying list  print ( ls) # displaying array  print ( ar) 

Output :

[[1, 7, 0], [6, 2, 5]] [[1 7 0] [6 2 5]]

Method 2: Using numpy.asarray().

Approach :

• Import numpy package.
• Initialize the nested 4-dimensional list and then use numpy.asarray() function to convert the list to the array and store it in a different object.
• Display both list and NumPy array and observe the difference.

Below is the implementation.

# importing numpy library  import numpy # initializing list  ls = [[1, 7, 0],[ 6, 2, 5],[ 7, 8, 9],[ 41, 10, 20]] # converting list to array  ar = numpy.asarray(ls) # displaying list  print ( ls) # displaying array  print ( ar) 

Output :

[[1, 7, 0], [6, 2, 5], [7, 8, 9], [41, 10, 20]] [[ 1 7 0] [ 6 2 5] [ 7 8 9] [41 10 20]]