How to Use the Numpy zeros() Function in Python
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Contents
In this article, you will learn how to use the Numpy zeros() function in Python.
Numpy zeros() Function
The numpy.zeros() function is used to create a new array filled with zeros. This function is particularly useful when you need to create an array with a specific shape and initialize it with zeros. Here’s how to use the numpy.zeros() function in Python:
First, you need to import the numpy library:
import numpy as np
Then, you can use the numpy.zeros() function to create an array with a specific shape and data type:
a = np.zeros((3,4), dtype=int)
In this example, we create a 2-dimensional array with 3 rows and 4 columns, and set the data type to int. The resulting array a will look like this:
array([[0, 0, 0, 0],
[0, 0, 0, 0],
[0, 0, 0, 0]])
You can also create a 1-dimensional array by specifying the length of the array:
b = np.zeros(5)
This will create a 1-dimensional array of length 5 with default data type of float:
array([0., 0., 0., 0., 0.])
You can specify a different data type using the dtype parameter, like this:
c = np.zeros(5, dtype=int)
This will create a 1-dimensional array of length 5 with data type of int:
array([0, 0, 0, 0, 0])
That’s how you can use the numpy.zeros() function in Python to create arrays filled with zeros of a specified shape and data type.