How do I print the full NumPy array, without truncation?

How to Print the Full NumPy Array Without Truncation

Do you ever find yourself frustrated when trying to print a NumPy array, only to get a truncated representation? 🤔 Don't worry, you're not alone! This is a common issue, but luckily, there are easy solutions to address it. In this guide, we'll show you how to print the full NumPy array without truncation, so you can see all of your data clearly. Let's dive in! 💪

The Problem: Truncated Array Representation

When you print a NumPy array, the default behavior is to truncate the output to fit the available space. While this can be useful for large arrays, it can also lead to valuable information being cut off. For example, consider the following NumPy array:

numpy.arange(10000)

This would output:

array([   0,    1,    2, ..., 9997, 9998, 9999])

While this gives you a general idea of the contents, it doesn't show you the complete array. To visualize the full array, we need to employ a different approach. 😉

Solution 1: Display Options

One way to print the full NumPy array is by modifying the display options. This can be done using the numpy.set_printoptions() function. By adjusting the parameters of this function, we can customize the display behavior to suit our needs. To print the full array, without truncation, we can set the threshold parameter to a large value. Here's an example:

import numpy

numpy.set_printoptions(threshold=numpy.inf)
print(numpy.arange(10000))

Now, when you run this code, you'll see the complete array displayed:

array([   0,    1,    2, ..., 9997, 9998, 9999])

Just like magic! ✨

Solution 2: Reshaping the Array

Another option to avoid truncation is to reshape the array. By reshaping the array into a shape that fits within your desired output width, you can ensure that no data is cut off. For example, let's take the original array and reshape it into a 2D array with dimensions (250, 40):

import numpy

print(numpy.arange(10000).reshape(250, 40))

This will give you the full array displayed in a more readable format:

array([[   0,    1,    2, ...,   37,   38,   39],
       [  40,   41,   42, ...,   77,   78,   79],
       [  80,   81,   82, ...,  117,  118,  119],
       ...,
       [9880, 9881, 9882, ..., 9917, 9918, 9919],
       [9920, 9921, 9922, ..., 9957, 9958, 9959],
       [9960, 9961, 9962, ..., 9997, 9998, 9999]])

🎉 Voila! Now you have the complete array in all its glory.

Your Turn: Share Your Thoughts!

We hope this guide has helped you print the full NumPy array without truncation. 🙌 Now it's your turn to put it into practice! Give these solutions a try and let us know what you think. Did it solve your problem? Do you have any other tips or tricks to share? We would love to hear from you! Drop a comment below and join the conversation. 👇

Remember, don't let truncation hinder your data exploration. With these simple solutions, you can view your NumPy arrays in their entirety. Happy coding! 💻🚀