Conda是一个流行的包管理工具,它提供了方便的方式来安装、更新和管理Python库。如果你想在新环境中快速地安装所有已安装的Python库,可以使用Conda的一行代码。首先,打开Anaconda Prompt(Windows)或终端(Mac/Linux)。然后,输入以下命令:conda list --export > installed_packages.txt这个命令将列出你当前环境中所有已安装...
#查看conda环境下安装的R的版本 conda list r-base #打开conda安装的R(从安装路径中获取环境路径,bin文件中是可执行的软件) ~/miniconda3/envs/r_432/bin/R ~/miniconda3/envs/r_432/lib/R/bin/R 查看conda安装的R包 ##打开 Conda 环境中的 R,并运行installed.packages(),这样能看到版本号 installed.p...
If conda is installing packages with the correct metadata, then pip should recognise them. So either this is a problem with conda not following the relevant standards, or there is something else causing pip to not see the installed packages. Either way, it doesn't immediately seem like it's...
这时候在conda环境中输入pip list发现确实显示存在1.10版本的pytorch,因为此时调用的是系统pip而不是conda环境内的pip,从下图可以看出conda环境中的pip与现在正在使用的pip不一致,此时调用的是/.local/lib/python3.8/即系统环境下的pip,而不是.conda/envs/pytorch1.8的。 3.经过以上两点分析,将问题锁定在conda环境imp...
usage: conda-script.py list [-h] [-n ENVIRONMENT | -p PATH] [--json] [-v] [-q] [--show-channel-urls] [-c] [-f] [--explicit] [--md5] [-e] [-r] [--no-pip] [regex] List installed packages in a conda environment. ...
Add conda list --reverse to return a reversed list of installed packages. (#11954) Switch from setup.py to pyproject.toml and use Hatchling for our build system. (#12509) Optimize which Python modules get imported during conda activate calls to make it faster. (#12550) Add conda_cli fixtu...
1: In install.packages("ggpubr") : installation of package ‘stringi’ had non-zero exit status 2: In install.packages("ggpubr") : installation of package ‘stringr’ had non-zero exit status 3: In install.packages("ggpubr") : ...
List the packages installed in the current environment, and confirm that keras and pytorch are installed. %conda list The output is similar to the following: # packages in environment at /u01/.conda/envs/myenv: # # Name Version Build Channel _libgcc_mutex 0.1 main _openmp_mutex 5.1 1_gnu...
conda env list、conda info -e和conda info --env命令可查看虚拟环境列表。 (base) C:\Users\Administrator>conda env list # conda environments: # base * C:\ProgramData\Anaconda3 (base) C:\Users\Administrator>conda info -e # conda environments: ...
conda list --name $environment_name 创建一个python版本为x.x的新环境: conda create --name $environment_name python=x.x 激活一个环境: conda activate $environment_name #conda4.6之前的版本要用sourceactivate 断开一个环境:conda deactivate 显示已有的所有环境: ...