# How to multiply Numpy Array by a Scalar in Python : Various Methods

Numpy is the best python package for creating a NumPy array. It allows you to do complex mathematical calculations in an efficient way. In this entire tutorial, you will learn how to multiply the NumPy array by a scalar in python using various methods.

## Methods to Multiply Numpy Array by a Scalar

In this section, you will know all the methods to create and multiply the NumPy array by a Scalar. All the coding demonstration part is done on the Jupyter notebook. So I will advise you to do the same for better understanding.

### Method 1: Multiply NumPy array by a scalar using the * operator

The first method to multiply the NumPy array is the use of the ‘ * ‘ operator. It will directly multiply all the elements of the NumPy array whether it is a Single Dimensional or Multi-Dimensional array.

Single Dimensional Array

Let’s create a 1D array and multiply it by a Scalar value. You can create a NumPy array using the np.array() method. After that, you will multiply the array with the scalar value.

Execute the below lines of code to multiply the array.

``````import numpy as np
array_1d = np.array([10,20,30])
final_array = array_1d * 10
print(final_array)``````

Output

Multi-Dimensional Array

In the same way, you can multiply the 2D NumPy array using the ‘ * ‘ operator.

Run the following lines of code.

``````import numpy as np
array_1d = np.array([[10,20,30],[40,50,60],[70,80,90]])
final_array = array_1d * 10
print(final_array)``````

Output

### Method 2: Multiply NumPy array using np.multiply()

The second method to multiply the NumPy by a scalar is the use of the numpy.multiply() method. It accepts two arguments one is the input array and the other is the scalar or another NumPy array.

In our example I will multiply the array by scalar then I have to pass the scalar value as another argument.

Using the same NumPy array as created in the above method 1, I will use the multiply() function.

1D Numpy array

``````import numpy as np
array_1d = np.array([10,20,30])
final_array = np.multiply(array_1d,10)
print(final_array)``````

Output

2D Numpy array

``````import numpy as np
array_1d = np.array([[10,20,30],[40,50,60],[70,80,90]])
final_array = np.multiply(array_1d,10)
print(final_array)``````

Output

## Conclusion

Numpy is the best python package for doing mathematical computations fast. These are methods to multiply Numpy Array by a Scalar in Python. I hope you have understood this tutorial. If you have any suggestions and queries then you can contact us for more help.

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Meet Sukesh ( Chief Editor ), a passionate and skilled Python programmer with a deep fascination for data science, NumPy, and Pandas. His journey in the world of coding began as a curious explorer and has evolved into a seasoned data enthusiast.

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