# Convert Python List to numpy Arrays

A list in Python is a linear data structure that can hold heterogeneous elements they do not require to be declared and are flexible to shrink and grow. On the other hand, an array is a data structure which can hold homogeneous elements, arrays are implemented in Python using the NumPy library. Arrays require less memory then list.

The similarity between an array and a list is that the elements of both array and a list can be identified by its index value.

In Python lists can be converted to arrays by using two methods from the `NumPy` library:

• Using `numpy.array()`

 `# importing library ` `import` `numpy  ` ` `  `# initilizing list ` `lst ``=` `[``1``, ``7``, ``0``, ``6``, ``2``, ``5``, ``6``] ` ` `  `# converting list to array ` `arr ``=` `numpy.array(lst) ` ` `  `# displaying list ` `print` `(``"List: "``, lst) ` ` `  `# displaying array ` `print` `(``"Array: "``, arr) `

Output:

```List:  [1, 7, 0, 6, 2, 5, 6]
Array:  [1 7 0 6 2 5 6]```
• Using `numpy.asarray()`

 `# importing library ` `import` `numpy  ` ` `  `# initilizing list ` `lst ``=` `[``1``, ``7``, ``0``, ``6``, ``2``, ``5``, ``6``] ` ` `  `# converting list to array ` `arr ``=` `numpy.asarray(lst) ` ` `  `# displaying list ` `print` `(``"List:"``, lst) ` ` `  `# displaying array ` `print` `(``"Array: "``, arr) `

Output:

```List:  [1, 7, 0, 6, 2, 5, 6]
Array:  [1 7 0 6 2 5 6]```

The vital difference between the above two methods is that `numpy.array()` will make a duplicate of the original object and `numpy.asarray()` would mirror the changes in the original object.

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