How to Make an Empty Numpy Array : Various methods

Sometimes you want to create an empty numpy array without any value. There are many methods to create it. But in this tutorial, you will know how to make or create an empty numpy array using various methods.

Methods on How to Make an Empty Numpy Array

Let’s know all the methods that are generally used by the developers to create an empty numpy array. Just follow these methods for deep understanding.

Method 1: Make an Empty Numpy Array using the empty() function

The first method to make an empty numpy array is the use of the empty() function. It is a function provided by the NumPy module. Here you will pass a tuple for the number of rows and columns. It will create numpy array for that dimension.

Run the below lines of code to make an empty numpy array.

import numpy as np
empty_array = np.empty((4, 5))
print(empty_array )

Output

creating numpy array using empty() function

Method 2: Use the zeros() function

The second method to make or initialize the numpy array is the use of the zeros() function. This function creates a numpy array filled with the 0 elements only. It is just like an empty numpy array.

Just passe the tuple for the number of rows and columns and the function will create the array.

Execute the below lines of code to achieve that.

import numpy as np
empty_array = np.zeros((4, 5))
print(empty_array )

Output

creating numpy array using zeros() function

Other Methods

There are also other methods you can use for creating an empty array. These functions are numpy.ones() , numpy.empty_like(), numpy.zeros_like(), or numpy.ones_like() e.t.c. All the functions that are with like are used to create the numpy array with the same dimension as an existing numpy array. The numpy.ones() function create numpy array with all elements of 1.

Conclusion

Creating an empty numpy array is very easy. You have to just properly follow the above methods. You can use the np.empty() function or np.zeros()function to initialize the array.

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