手动安装environment.yml的依赖包

2024-09-02 19:52
文章标签 安装 依赖 手动 yml environment

本文主要是介绍手动安装environment.yml的依赖包，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

在使用environment.yml文件来管理项目依赖的时候，通常我们会使用Anaconda或Miniconda创建一个环境，这样可以确保所有必需的Python包和特定版本都正确安装。下面是如何手动安装environment.yml中定义的依赖包的步骤：

1. 创建一个新的conda环境

首先，你需要有一个名为environment.yml的文件，其中列出了你的所有依赖项及其版本信息。这个文件看起来可能像这样：

name: myprojectenv
dependencies:- python=3.7- numpy- pandas- scipy- pip:- some-python-package # 使用pip安装的包

要创建一个新环境并安装所有的依赖项，你可以在命令行中运行以下命令：

conda env create -f environment.yml

这将根据environment.yml文件创建一个名为myprojectenv的新环境。

2. 激活新环境

创建完环境后，需要激活它才能开始使用：

  • 在Windows上:

    conda activate myprojectenv

  • 在Unix或MacOS上:

    source activate myprojectenv

或者，在较新的Anaconda版本中，你可以使用conda activate myprojectenv在所有平台上。

3. 手动添加额外的依赖（如果需要）

如果你需要手动添加依赖，可以使用conda install或pip install来安装额外的包。例如：

conda install package_name
pip install another_package

4. 查看已安装的包

你可以通过以下命令查看环境中已经安装了哪些包：

conda list

这将显示当前激活环境中的所有包以及它们的版本。

5. 更新环境文件

如果你手动添加了新的依赖项，你应该更新environment.yml文件以包含这些新的依赖项，这样其他人可以根据最新的文件重建相同的环境。

6. 删除环境（可选）

当你不再需要某个环境时，可以删除它：

conda env remove -n myprojectenv

以上就是如何使用environment.yml文件来管理你的Python项目的依赖关系。这种方式有助于确保你的项目能够在不同的机器上一致地运行。

7.实际运行
Ran pip subprocess with arguments:
['E:\\Anaconda\\envs\\nudd-env-offical\\python.exe', '-m', 'pip', 'install', '-U', '-r', 'E:\\RomulusHe\\Projects\\NUDD\\DjangoProDemo-followup\\condaenv.gvwkf7xc.requirements.txt']
Pip subprocess output:
Collecting amqp==5.2.0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 1))Using cached amqp-5.2.0-py3-none-any.whl.metadata (8.9 kB)
Collecting apscheduler==3.10.4 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 2))Using cached APScheduler-3.10.4-py3-none-any.whl.metadata (5.7 kB)
Collecting asgiref==3.8.1 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 3))Using cached asgiref-3.8.1-py3-none-any.whl.metadata (9.3 kB)
Collecting async-timeout==4.0.3 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 4))Using cached async_timeout-4.0.3-py3-none-any.whl.metadata (4.2 kB)
Collecting billiard==4.2.0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 5))Using cached billiard-4.2.0-py3-none-any.whl.metadata (4.4 kB)
Collecting celery==5.4.0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 6))Using cached celery-5.4.0-py3-none-any.whl.metadata (21 kB)
Collecting certifi==2024.8.30 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 7))Using cached certifi-2024.8.30-py3-none-any.whl.metadata (2.2 kB)
Collecting charset-normalizer==3.3.2 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 8))Using cached charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl.metadata (34 kB)
Collecting click==8.1.7 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 9))Using cached click-8.1.7-py3-none-any.whl.metadata (3.0 kB)
Collecting click-didyoumean==0.3.1 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 10))Using cached click_didyoumean-0.3.1-py3-none-any.whl.metadata (3.9 kB)
Collecting click-plugins==1.1.1 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 11))Using cached click_plugins-1.1.1-py2.py3-none-any.whl.metadata (6.4 kB)
Collecting click-repl==0.3.0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 12))Using cached click_repl-0.3.0-py3-none-any.whl.metadata (3.6 kB)
Collecting colorama==0.4.6 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 13))Using cached colorama-0.4.6-py2.py3-none-any.whl.metadata (17 kB)
Collecting django==5.1 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 14))Using cached Django-5.1-py3-none-any.whl.metadata (4.2 kB)
Collecting django-apscheduler==0.6.2 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 15))Using cached django_apscheduler-0.6.2-py3-none-any.whl.metadata (15 kB)
Collecting et-xmlfile==1.1.0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 16))Using cached et_xmlfile-1.1.0-py3-none-any.whl.metadata (1.8 kB)
Collecting idna==3.8 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 17))Using cached idna-3.8-py3-none-any.whl.metadata (9.9 kB)
Collecting kombu==5.4.0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 18))Using cached kombu-5.4.0-py3-none-any.whl.metadata (3.1 kB)
Collecting mysqlclient==2.2.4 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 19))Using cached mysqlclient-2.2.4-cp310-cp310-win_amd64.whl.metadata (4.6 kB)
Collecting numpy==2.1.0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 20))Using cached numpy-2.1.0-cp310-cp310-win_amd64.whl.metadata (59 kB)
Collecting openpyxl==3.1.5 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 21))Using cached openpyxl-3.1.5-py2.py3-none-any.whl.metadata (2.5 kB)
Collecting pandas==2.2.2 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 22))Using cached pandas-2.2.2-cp310-cp310-win_amd64.whl.metadata (19 kB)
Collecting pika==1.3.2 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 23))Using cached pika-1.3.2-py3-none-any.whl.metadata (13 kB)
Collecting prompt-toolkit==3.0.47 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 24))Using cached prompt_toolkit-3.0.47-py3-none-any.whl.metadata (6.4 kB)
Collecting psycopg2-binary==2.9.9 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 25))Using cached psycopg2_binary-2.9.9-cp310-cp310-win_amd64.whl.metadata (4.6 kB)
Collecting pymysql==1.1.1 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 26))Using cached PyMySQL-1.1.1-py3-none-any.whl.metadata (4.4 kB)
Collecting python-dateutil==2.9.0.post0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 27))Using cached python_dateutil-2.9.0.post0-py2.py3-none-any.whl.metadata (8.4 kB)
Collecting pytz==2024.1 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 28))Using cached pytz-2024.1-py2.py3-none-any.whl.metadata (22 kB)
Collecting redis==5.0.8 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 29))Using cached redis-5.0.8-py3-none-any.whl.metadata (9.2 kB)
Collecting requests==2.32.3 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 30))Using cached requests-2.32.3-py3-none-any.whl.metadata (4.6 kB)
Collecting six==1.16.0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 31))Using cached six-1.16.0-py2.py3-none-any.whl.metadata (1.8 kB)
Collecting sqlparse==0.5.1 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 32))Using cached sqlparse-0.5.1-py3-none-any.whl.metadata (3.9 kB)
Collecting typing-extensions==4.12.2 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 33))Using cached typing_extensions-4.12.2-py3-none-any.whl.metadata (3.0 kB)
Collecting tzdata==2024.1 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 34))Using cached tzdata-2024.1-py2.py3-none-any.whl.metadata (1.4 kB)
Collecting tzlocal==5.2 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 35))Using cached tzlocal-5.2-py3-none-any.whl.metadata (7.8 kB)
Collecting urllib3==2.2.2 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 36))Using cached urllib3-2.2.2-py3-none-any.whl.metadata (6.4 kB)
Collecting vine==5.1.0 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 37))Using cached vine-5.1.0-py3-none-any.whl.metadata (2.7 kB)
Collecting wcwidth==0.2.13 (from -r E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup\condaenv.gvwkf7xc.requirements.txt (line 38))Using cached wcwidth-0.2.13-py2.py3-none-any.whl.metadata (14 kB)
Using cached amqp-5.2.0-py3-none-any.whl (50 kB)
Using cached APScheduler-3.10.4-py3-none-any.whl (59 kB)
Using cached asgiref-3.8.1-py3-none-any.whl (23 kB)
Using cached async_timeout-4.0.3-py3-none-any.whl (5.7 kB)
Using cached billiard-4.2.0-py3-none-any.whl (86 kB)
Using cached celery-5.4.0-py3-none-any.whl (425 kB)
Using cached certifi-2024.8.30-py3-none-any.whl (167 kB)
Using cached charset_normalizer-3.3.2-cp310-cp310-win_amd64.whl (100 kB)
Using cached click-8.1.7-py3-none-any.whl (97 kB)
Using cached click_didyoumean-0.3.1-py3-none-any.whl (3.6 kB)
Using cached click_plugins-1.1.1-py2.py3-none-any.whl (7.5 kB)
Using cached click_repl-0.3.0-py3-none-any.whl (10 kB)
Using cached colorama-0.4.6-py2.py3-none-any.whl (25 kB)
Using cached Django-5.1-py3-none-any.whl (8.2 MB)
Using cached django_apscheduler-0.6.2-py3-none-any.whl (24 kB)
Using cached et_xmlfile-1.1.0-py3-none-any.whl (4.7 kB)
Using cached idna-3.8-py3-none-any.whl (66 kB)
Using cached kombu-5.4.0-py3-none-any.whl (200 kB)
Using cached mysqlclient-2.2.4-cp310-cp310-win_amd64.whl (203 kB)
Using cached numpy-2.1.0-cp310-cp310-win_amd64.whl (12.9 MB)
Using cached openpyxl-3.1.5-py2.py3-none-any.whl (250 kB)
Using cached pandas-2.2.2-cp310-cp310-win_amd64.whl (11.6 MB)
Using cached pika-1.3.2-py3-none-any.whl (155 kB)
Using cached prompt_toolkit-3.0.47-py3-none-any.whl (386 kB)
Using cached psycopg2_binary-2.9.9-cp310-cp310-win_amd64.whl (1.2 MB)
Using cached PyMySQL-1.1.1-py3-none-any.whl (44 kB)
Using cached python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)
Using cached pytz-2024.1-py2.py3-none-any.whl (505 kB)
Using cached redis-5.0.8-py3-none-any.whl (255 kB)
Using cached requests-2.32.3-py3-none-any.whl (64 kB)
Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Using cached sqlparse-0.5.1-py3-none-any.whl (44 kB)
Using cached typing_extensions-4.12.2-py3-none-any.whl (37 kB)
Using cached tzdata-2024.1-py2.py3-none-any.whl (345 kB)
Using cached tzlocal-5.2-py3-none-any.whl (17 kB)
Using cached urllib3-2.2.2-py3-none-any.whl (121 kB)
Using cached vine-5.1.0-py3-none-any.whl (9.6 kB)
Using cached wcwidth-0.2.13-py2.py3-none-any.whl (34 kB)
Installing collected packages: wcwidth, pytz, vine, urllib3, tzdata, typing-extensions, sqlparse, six, pymysql, psycopg2-binary, prompt-toolkit, pika, numpy, mysqlclient, idna, et-xmlfile, colorama, charset-normalizer, certifi, billiard, async-timeout, tzlocal, requests, redis, python-dateutil, openpyxl, click, asgiref, amqp, pandas, kombu, django, click-repl, click-plugins, click-didyoumean, apscheduler, django-apscheduler, celery
Successfully installed amqp-5.2.0 apscheduler-3.10.4 asgiref-3.8.1 async-timeout-4.0.3 billiard-4.2.0 celery-5.4.0 certifi-2024.8.30 charset-normalizer-3.3.2 click-8.1.7 click-didyoumean-0.3.1 click-plugins-1.1.1 click-repl-0.3.0 colorama-0.4.6 django-5.1 django-apscheduler-0.6.2 et-xmlfile-1.1.0 idna-3.8 kombu-5.4.0 mysqlclient-2.2.4 numpy-2.1.0 openpyxl-3.1.5 pandas-2.2.2 pika-1.3.2 prompt-toolkit-3.0.47 psycopg2-binary-2.9.9 pymysql-1.1.1 python-dateutil-2.9.0.post0 pytz-2024.1 redis-5.0.8 requests-2.32.3 six-1.16.0 sqlparse-0.5.1 typing-extensions-4.12.2 tzdata-2024.1 tzlocal-5.2 urllib3-2.2.2 vine-5.1.0 wcwidth-0.2.13done
#
# To activate this environment, use
#
#     $ conda activate nudd-env-offical
#
# To deactivate an active environment, use
#
#     $ conda deactivatePS E:\RomulusHe\Projects\NUDD\DjangoProDemo-followup>

这篇关于手动安装environment.yml的依赖包的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！


http://www.chinasem.cn/article/1130909。

相关文章

Linux安装MySQL的教程

Linux安装MySQL的教程

《Linux安装MySQL的教程》：本文主要介绍Linux安装MySQL的教程,具有很好的参考价值,希望对大家有所帮助,如有错误或未考虑完全的地方,望不吝赐教... 目录linux安装mysql1.Mysql官网2.我的存放路径3.解压mysql文件到当前目录4.重命名一下5.创建mysql用户组和用户并修
阅读更多...
pip无法安装osgeo失败的问题解决

pip无法安装osgeo失败的问题解决

《pip无法安装osgeo失败的问题解决》本文主要介绍了pip无法安装osgeo失败的问题解决,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一... 进入官方提供的扩展包下载网站寻找版本适配的whl文件注意：要选择cp（python版本）和你py
阅读更多...
Android App安装列表获取方法(实践方案)

Android App安装列表获取方法(实践方案)

《AndroidApp安装列表获取方法(实践方案)》文章介绍了Android11及以上版本获取应用列表的方案调整,包括权限配置、白名单配置和action配置三种方式,并提供了相应的Java和Kotl... 目录前言实现方案         方案概述一、 androidManifest 三种配置方式
阅读更多...
Python解析器安装指南分享(Mac/Windows/Linux)

Python解析器安装指南分享(Mac/Windows/Linux)

《Python解析器安装指南分享(Mac/Windows/Linux)》：本文主要介绍Python解析器安装指南(Mac/Windows/Linux),具有很好的参考价值,希望对大家有所帮助,如有... 目NMNkN录1js. 安装包下载1.1 python 下载官网2.核心安装方式3. MACOS 系统安
阅读更多...
Pycharm安装报错:Cannot detect a launch configuration解决办法

Pycharm安装报错:Cannot detect a launch configuration解决办法

《Pycharm安装报错:Cannotdetectalaunchconfiguration解决办法》本文主要介绍了Pycharm安装报错:Cannotdetectalaunchconfigur... 本文主要介绍了Pycharm安装报错:Cannot detect a launch configuratio
阅读更多...
pytorch+torchvision+python版本对应及环境安装

pytorch+torchvision+python版本对应及环境安装

《pytorch+torchvision+python版本对应及环境安装》本文主要介绍了pytorch+torchvision+python版本对应及环境安装,安装过程中需要注意Numpy版本的降级,... 目录一、版本对应二、安装命令（pip）1. 版本2. 安装全过程3. 命令相关解释参考文章一、版本对
阅读更多...
Windows系统下如何查找JDK的安装路径

Windows系统下如何查找JDK的安装路径

《Windows系统下如何查找JDK的安装路径》：本文主要介绍Windows系统下如何查找JDK的安装路径,文中介绍了三种方法,分别是通过命令行检查、使用verbose选项查找jre目录、以及查看... 目录一、确认是否安装了JDK二、查找路径三、另外一种方式如果很久之前安装了JDK，或者在别人的电脑上，想
阅读更多...
大数据spark3.5安装部署之local模式详解

大数据spark3.5安装部署之local模式详解

《大数据spark3.5安装部署之local模式详解》本文介绍了如何在本地模式下安装和配置Spark,并展示了如何使用SparkShell进行基本的数据处理操作,同时,还介绍了如何通过Spark-su... 目录下载上传解压配置jdk解压配置环境变量启动查看交互操作命令行提交应用spark，一个数据处理框架
阅读更多...
Python FastAPI入门安装使用

Python FastAPI入门安装使用

《PythonFastAPI入门安装使用》FastAPI是一个现代、快速的PythonWeb框架,用于构建API,它基于Python3.6+的类型提示特性,使得代码更加简洁且易于绶护,这篇文章主要介... 目录第一节：FastAPI入门一、FastAPI框架介绍什么是ASGI服务（WSGI）二、FastAP
阅读更多...
2025最新版Python3.13.1安装使用指南(超详细)

2025最新版Python3.13.1安装使用指南(超详细)

《2025最新版Python3.13.1安装使用指南(超详细)》Python编程语言自诞生以来,已经成为全球最受欢迎的编程语言之一,它简单易学易用,以标准库和功能强大且广泛外挂的扩展库,为用户提供包罗... 目录2025最新版python 3.13.1安装使用指南1. 2025年Python语言最新排名2.
阅读更多...

Copyright China编程 23002807@qq.com

沪ICP备2023033072号-2