How Can I Print a Full NumPy Array Without Truncation?
Printing NumPy Arrays in Full Without Truncation
When working with NumPy arrays, it's common to encounter a problem where large arrays are truncated when printed. This can make it difficult to inspect the full contents of the array. Fortunately, there is a simple solution that allows you to print the full array without any truncation.
To print the full NumPy array, you can use the numpy.set_printoptions function. This function takes several arguments, including the threshold argument, which specifies the maximum number of elements to be printed before truncation occurs. By setting the threshold argument to sys.maxsize, the function will print the entire array without any truncation.
Here's an example:
import sys import numpy my_array = numpy.arange(10000) numpy.set_printoptions(threshold=sys.maxsize) print(my_array)
This will print the full array without any truncation:
[ 0 1 2 ... 9997 9998 9999]
The above solution can also be applied to multidimensional arrays. For instance, to print a 250x40 array without truncation:
my_array = numpy.arange(10000).reshape(250, 40) numpy.set_printoptions(threshold=sys.maxsize) print(my_array)
This will print the full array without any truncation.
The above is the detailed content of How Can I Print a Full NumPy Array Without Truncation?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

How does Uvicorn continuously listen for HTTP requests? Uvicorn is a lightweight web server based on ASGI. One of its core functions is to listen for HTTP requests and proceed...

In Python, how to dynamically create an object through a string and call its methods? This is a common programming requirement, especially if it needs to be configured or run...

The article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H

Regular expressions are powerful tools for pattern matching and text manipulation in programming, enhancing efficiency in text processing across various applications.
