# 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.

## Python3

 `# importing numpy library  ` `import` `numpy  ` ` `  `# initilizing 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.

## Python3

 `# importing numpy library  ` `import` `numpy  ` ` `  `# initilizing 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]]
```

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