How to change to 2 decimals in a NumPy array which is type numpy float64 in Python

NumPy is a powerful library in Python for numerical and mathematical operations. It provides a wide range of functions to work with arrays, including the ability to format the values in an array to a specific number of decimal places. In this tutorial, we will show you how to change the number of decimal places in a NumPy array, specifically when the data type of the array is numpy.float64.
Let's get started with step-by-step instructions and code examples.
Before you begin, make sure you have NumPy installed. If you haven't installed it yet, you can use pip to install it:
First, import the NumPy library to work with arrays and numerical data.
Let's create a NumPy array of type numpy.float64 to work with. You can use your own data or create a sample array like this:
In this example, original_array contains three floating-point numbers with a high precision.
To change the number of decimal places to 2 in the NumPy array, you can use the numpy.around function. This function rounds the elements to the desired number of decimals. In this case, we want 2 decimal places.
The decimals parameter in np.around specifies the number of decimal places you want to round to.
Finally, let's display the original array and the rounded array to see the difference:
Here's the full code for the process:
When you run this code, you'll see the original array with many decimal places and the rounded array with 2 decimal places.
This is how you can change the number of decimal places in a NumPy array of type numpy.float64 in Python using NumPy's np.around function.
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