How do you make an array in Python?


The arrays in Python are ndarray objects. To create arrays in Python, use the Numpy library. Array is a container which can hold a fix number of items and these items should be of the same type. To work with arrays in Python, import the NumPy library.

First, let us first install the Numpy library −

pip install numpy

Import the required Numpy library −

import numpy as np

Create an Array

Example

Let us now create an array.. The basic Numpy Array is created using an array() function in NumPy −

import numpy as np # Create a Numpy Array arr = np.array([5, 10, 15, 20, 25]) print("Array = ",arr)

Output

Array =  [ 5 10 15 20 25]

Create a Two-Dimensional Array

Example

We will create a 2D array i.e. a matrix. Here, a 2x3 matrix will be created −

import numpy as np # Create a Numpy Matrix 2x3 a = np.array([[5, 10, 15], [20, 25, 30]]) # Display the array with more than one dimension print("Array = ",a)

Output

Array =  [[ 5 10 15]
         [20 25 30]]

Get the Array Dimensions

Example

To get the array dimensions in Python, use the numpy.ndim. For a 1D array, the dimensions are 1.

Similarly, for a 2D array, the dimensions will be 2, etc. Let us now see the example −

import numpy as np # Create a Numpy Matrix 2x3 arr = np.array([[5, 10, 15], [20, 25, 30]]) # Display the array with more than one dimension print("Array = \n",arr) print("Array Dimensions = ",arr.ndim)

Output

Array = 
[[ 5 10 15]
 [20 25 30]]
Array Dimensions =  2

Get the Shape of an Array

Example

The count of elements in each dimension of an array is called the shape. Use the numpy.shape to get the array shape. Let us see an example to get the shape of an array −

import numpy as np # Create a Numpy Matrix 2x3 arr = np.array([[5, 10, 15], [20, 25, 30]]) # Display the array print("Array = \n",arr) print("Array Shape = ",arr.shape)

Output

Array = 
[[ 5 10 15]
 [20 25 30]]
Array Shape =  (2, 3)

Initialize Array with Zeros

Example

We an easily initialize Numpy arrays with zeros −

import numpy as np # Create a Numpy Matrix 3x3 with zeros arr = np.zeros([3, 3]) # Display the array print("Array = \n",arr) print("Array Shape = ",arr.shape)

Output

Array = 
[[0. 0. 0.]
 [0. 0. 0.]
 [0. 0. 0.]]
Array Shape =  (3, 3)

Sort Arrays

Example

To sort arrays in Numpy, use the sort() method −

import numpy as np # Create a Numpy Matrix arr = np.array([[5, 3, 8], [17, 25, 12]]) # Display the array print("Array = \n",arr) # Sort the array print("\nSorted array = \n", np.sort(arr))

Output

Array = 
[[ 5  3  8]
 [17 25 12]]
Sorted array = 
[[ 3  5  8]
 [12 17 25]]

Updated on: 16-Sep-2022

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