Home  >  Article  >  Backend Development  >  How to quickly check numpy version

How to quickly check numpy version

WBOY
WBOYOriginal
2024-01-19 08:23:151896browse

How to quickly check numpy version

Numpy is an important mathematical library in Python. It provides efficient array operations and scientific computing functions and is widely used in data analysis, machine learning, deep learning and other fields. When using numpy, we often need to check the version number of numpy to determine the functions supported by the current environment. This article will introduce how to quickly check the numpy version and provide specific code examples.

Method 1: Use the __version__ attribute that comes with numpy

The numpy module comes with a __version__ attribute, which can be used to view the current numpy version number. The sample code is as follows:

import numpy as np

print(np.__version__)

After running the code, the current numpy version number can be output in the terminal. For example, the output result is "1.18.5", which means that the current numpy version number is 1.18.5.

Method 2: Use the pip package manager to view the version number

Pip is the Python package manager. We can use the pip command to view the installed numpy version number. The specific operations are as follows:

1. Open a terminal or command line window;

2. Enter the following command:

pip show numpy

3. Press the Enter key to execute the command, and you can The terminal outputs detailed information about numpy, including version number and other information. For example, the output result contains "Version: 1.18.5", indicating that the current numpy version number is 1.18.5.

Method 3: Check the version number information under the numpy installation path

In Unix/Linux systems, we can check the numpy installation path through the command line and find the version number under this path information. The specific operations are as follows:

1. Open a terminal or command line window;

2. Enter the following command:

pip show numpy

3. Press the Enter key to execute the command and the output will be The installation path of numpy will be displayed, for example:

Location: /usr/local/lib/python3.8/site-packages

4. Find the version number information of numpy in this path. The specific operation is as follows:

  • Enter the directory where the installation path is located:
cd /usr/local/lib/python3.8/site-packages
  • Find the directory where the numpy module is located:
ls | grep numpy

This command will output the directory name containing the "numpy" character, for example:

numpy
numpy-1.18.5.dist-info
  • Enter the directory where the numpy module is located:
cd numpy-1.18.5.dist-info
  • View the version number information:
cat METADATA | grep Version

This command will output the version number information, for example:

Version: 1.18.5

To sum up, we have introduced three ways to check the numpy version. The first method is the simplest and most direct, suitable for quickly checking the numpy version during the programming process. The second and third methods require operation in the terminal or command line, and are suitable for installation, upgrade, or troubleshooting scenarios. It is recommended that readers master as many methods as possible to quickly and accurately check the numpy version number in different scenarios.

The above is the detailed content of How to quickly check numpy version. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn