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Learn how to customize the precision of the `np.add()` function in NumPy to achieve accurate results for complex numbers.
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This video is based on the question https://stackoverflow.com/q/62295149/ asked by the user 'Marcel Mazur' ( https://stackoverflow.com/u/10926349/ ) and on the answer https://stackoverflow.com/a/62295425/ provided by the user 'hpaulj' ( https://stackoverflow.com/u/901925/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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How to Change the Precision of np.add() in NumPy Arrays

In the world of numerical computing with Python, NumPy is one of the most essential libraries, providing powerful tools for array manipulation and operations. However, users often encounter limitations when it comes to precision, especially when adding complex numbers using the np.add() function. If you've ever found yourself frustrated by the results of np.add() not displaying the precision you need, you are not alone. Let's dive into the solution and explore how you can achieve the desired precision when working with NumPy arrays.

The Problem

Imagine you have two arrays with complex numbers that you want to add together:

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When you use the np.add() function, you might get results that look like this:

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However, you are expecting a more precise result like:

[[See Video to Reveal this Text or Code Snippet]]

As you've already discovered, creating a new custom function that manually adds the elements works, but there must be a more efficient way to leverage np.add() without sacrificing precision.

The Solution

Step 1: Define Your Arrays Correctly

Start off by defining your lists clearly. Use lists instead of obvious NumPy arrays at the beginning, as follows:

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Step 2: Use List Comprehension for Addition

To perform the addition accurately, you can use a list comprehension which allows you to zip the two lists together and add their corresponding elements:

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This will give you the precise output you were hoping for:

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Step 3: Use np.add() for Automatic Conversion

If you prefer using np.add(), keep in mind that this function treats complex numbers as arrays, which can lead to some discrepancies in display:

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The output will be the same as the list comprehension. To inspect specific elements, you can access them directly:

[[See Video to Reveal this Text or Code Snippet]]

Step 4: Adjusting the Display Precision

You might notice that the displayed numbers when using np.add() might not reflect the actual precision. To change the display settings, utilize the np.printoptions as shown below:

[[See Video to Reveal this Text or Code Snippet]]

This will adjust how the numbers are represented when printed, allowing you to view them with the precision you need.

Conclusion

In summary, while the issue with np.add() seems daunting, using list comprehension or adjusting the display settings can quicken the process of getting accurate results. By defining your arrays as lists and leveraging Python's list comprehension or NumPy's functionality wisely, you can achieve the precise addition of complex numbers regardless of array size with relative ease.

Now, you can confidently use NumPy to perform addition and display results with the precision required for your calculations. Happy coding!