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如何在不影响其他文件的情况下降级python版本

程序问答   发布时间：2022-06-01  发布网站：大佬教程  code.js-code.com
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如何解决如何在不影响其他文件的情况下降级python版本？

开发过程中遇到如何在不影响其他文件的情况下降级python版本的问题如何解决？下面主要结合日常开发的经验，给出你关于如何在不影响其他文件的情况下降级python版本的解决方法建议，希望对你解决如何在不影响其他文件的情况下降级python版本有所启发或帮助；

当我在 python 3.8.0 中安装 tensorflow 时，它显示错误。如何在不影响其他文件的情况下降级python版本。

(basE) C:\Users\Akanksha-Lab-PC>pip uninstall python 3.8.4
WARNING: SkipPing python as it is not installed.
WARNING: SkipPing 3.8.4 as it is not installed.

(basE) C:\Users\Akanksha-Lab-PC>pip uninstall python-3.8.4
WARNING: SkipPing python-3.8.4 as it is not installed.


(basE) C:\Users\Akanksha-Lab-PC>make alTinstall python-3.7
'make' is not recognized as an internal or external command,operable program or batch file.


(basE) C:\Users\Akanksha-Lab-PC>pip install python-3.7
ERROR: Could not find a version that satisfIEs the requirement python-3.7 (from versions: nonE)
ERROR: No matching diStribution found for python-3.7

当我输入命令 pip show tensorflow 时，它给了我这个

(basE) C:\Users\Akanksha-Lab-PC>python --version
Python 3.8.5

(basE) C:\Users\Akanksha-Lab-PC>pip show tensorflow
WARNING: Package(s) not found: tensorflow

当我使用以下命令安装 tensorflow 时：

pip install tensorflow

它给出了这个错误

(basE) C:\Users\Akanksha-Lab-PC>pip install tensorflow
CollecTing tensorflow
  Using cached tensorflow-2.4.1-cp38-cp38-win_amd64.whl (370.7 MB)
requirement already satisfIEd: six~=1.15.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (1.15.0)
CollecTing astunparse~=1.6.3
  Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
requirement already satisfIEd: protobuf>=3.9.2 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (3.14.0)
requirement already satisfIEd: tyPing-extensions~=3.7.4 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (3.7.4.3)
requirement already satisfIEd: wheel~=0.35 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (0.35.1)
requirement already satisfIEd: numpy~=1.19.2 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (1.19.2)
Processing c:\users\akanksha-lab-pc\apPDAta\local\pip\cache\wheels\a0\16\9c\5473df82468f958445479c59e784896fa24f4a5fc024b0f501\termcolor-1.1.0-py3-none-any.whl
requirement already satisfIEd: flatbuffers~=1.12.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (1.12)
CollecTing absl-py~=0.10
  Using cached absl_py-0.11.0-py3-none-any.whl (127 kB)
requirement already satisfIEd: h5py~=2.10.0 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (2.10.0)
CollecTing keras-preprocessing~=1.1.2
  Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
requirement already satisfIEd: Google-pasta~=0.2 in c:\programdata\anaconda3\lib\site-packages (from tensorflow) (0.2.0)
CollecTing gast==0.3.3
  Using cached gast-0.3.3-py2.py3-none-any.whl (9.7 kB)
CollecTing grpcio~=1.32.0
  Using cached grpcio-1.32.0-cp38-cp38-win_amd64.whl (2.6 MB)
CollecTing tensorflow-estimator<2.5.0,>=2.4.0
  Using cached tensorflow_estimator-2.4.0-py2.py3-none-any.whl (462 kB)
CollecTing tensorboard~=2.4
  Using cached tensorboard-2.4.1-py3-none-any.whl (10.6 MB)
CollecTing opt-einsum~=3.3.0
  Using cached opt_einsum-3.3.0-py3-none-any.whl (65 kB)
Processing c:\users\akanksha-lab-pc\apPDAta\local\pip\cache\wheels\5f\fd\9e\b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73\wrapt-1.12.1-py3-none-any.whl
CollecTing Google-auth-oauthlib<0.5,>=0.4.1
  Using cached Google_auth_oauthlib-0.4.2-py2.py3-none-any.whl (18 kB)
requirement already satisfIEd: setuptools>=41.0.0 in c:\programdata\anaconda3\lib\site-packages (from tensorboard~=2.4->tensorflow) (50.3.1.post20201107)
CollecTing markdown>=2.6.8
  Using cached Markdown-3.3.3-py3-none-any.whl (96 kB)
CollecTing Google-auth<2,>=1.6.3
  Using cached Google_auth-1.24.0-py2.py3-none-any.whl (114 kB)
CollecTing tensorboard-plugin-wit>=1.6.0
  Using cached tensorboard_plugin_wit-1.8.0-py3-none-any.whl (781 kB)
requirement already satisfIEd: requests<3,>=2.21.0 in c:\programdata\anaconda3\lib\site-packages (from tensorboard~=2.4->tensorflow) (2.24.0)
requirement already satisfIEd: werkzeug>=0.11.15 in c:\programdata\anaconda3\lib\site-packages (from tensorboard~=2.4->tensorflow) (1.0.1)
CollecTing requests-oauthlib>=0.7.0
  Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
CollecTing pyasn1-modules>=0.2.1
  Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
CollecTing cachetools<5.0,>=2.0.0
  Using cached cachetools-4.2.1-py3-none-any.whl (12 kB)
CollecTing rsa<5,>=3.1.4; python_version >= "3.6"
  Using cached rsa-4.7-py3-none-any.whl (34 kB)
requirement already satisfIEd: certifi>=2017.4.17 in c:\programdata\anaconda3\lib\site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow) (2020.6.20)
requirement already satisfIEd: IDna<3,>=2.5 in c:\programdata\anaconda3\lib\site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow) (2.10)
requirement already satisfIEd: chardet<4,>=3.0.2 in c:\programdata\anaconda3\lib\site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow) (3.0.4)
requirement already satisfIEd: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\programdata\anaconda3\lib\site-packages (from requests<3,>=2.21.0->tensorboard~=2.4->tensorflow) (1.25.11)
CollecTing oauthlib>=3.0.0
  Using cached oauthlib-3.1.0-py2.py3-none-any.whl (147 kB)
CollecTing pyasn1<0.5.0,>=0.4.6
  Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
Installing collected packages: astunparse,termcolor,absl-py,keras-preprocessing,gast,grpcio,tensorflow-estimator,oauthlib,requests-oauthlib,pyasn1,pyasn1-modules,cachetools,rsa,Google-auth,Google-auth-oauthlib,markdown,tensorboard-plugin-wit,tensorboard,opt-einsum,wrapt,tensorflow
  AttempTing uninstall: wrapt
    Found exisTing installation: wrapt 1.11.2
    Uninstalling wrapt-1.11.2:
ERROR: Could not install packages due to an EnvironmentError: [WinError 5] Access is denIEd: 'c:\\programdata\\anaconda3\\lib\\site-packages\\wrapt-1.11.2.dist-info\\INSTALLER'
ConsIDer using the `--user` option or check the permissions.

谁能告诉我解决方法？

解决方法

pip uninstall python 3.8.4

这个命令永远不会起作用。 pip 是一个 python 包管理器，即对于 python 的安装，pip 负责将模块安装到该 python 安装中。它不管理python本身的安装

对于 tensorflow 安装的错误：

pip install tensorflow

和

ERROR: Could not install packages due to an EnvironmentError: [WinError 5] Access is denied: 'c:\\programdata\\anaconda3\\lib\\site-packages\\wrapt-1.11.2.dist-info\\INSTALLER'

这是因为 c:\\programdata 受到非管理员用户的写保护，因此为了使您的命令成功，您应该以管理员身份运行您的 cmd。

但是：

您似乎已经安装了 anaconda 并且正在尝试使用 tensorflow 将 pip 安装到基本环境中。 Pip 反过来尝试卸载一些已经存在的包，可能是为了满足 tensorflow 的要求。但是已经存在的软件包可能是您第一次安装 anaconda 时由 conda 安装的，因此您可能会进入危险的水域，并且有破坏您的基础环境的风险，因此有两个建议：

  1. 创建新环境conda create -n tf tensorflow-gpu
  2. 使用 conda 命令安装 tensorflow。 conda install tensorflow-gpu 会给你张量流

对于你的另一个问题：

如何降级python

解决方案也是使用 conda 命令：

conda install python=<some version>

或者，更好的是，简单地使用您需要的版本创建一个环境：

conda create -n py37 python=3.7

例如会给你一个安装了 python3.7 的名为 py37 的环境。它可以被激活和使用

conda activate py37

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