install.packages("package_name", lib = "your_library_path") #指定路径 /public-supool/home/zhihanyang/miniconda3/envs/kam/lib/R/library ~/miniconda3/envs/kaml/etc/conda 使用conda安装的R #激活conda环境 conda activate r_432 #conda环境下的安装路径 conda env list #查看conda环境下安装的R的版...
When these commands installs a duplicative package while running all cells, there's no indication that it's doing so. After these commands install a duplicative package, the newly installed package from pypi isn't shown in conda list. Describe the solution you'd like I'd like pip and pip...
首先,要解决PackageNotInstalledError错误,我们需要确定包是否真的没有被安装。这可以通过在终端中运行以下命令来完成: conda list <package_name> 如果这个包没有被安装,那么这个命令将不会返回任何结果。在这种情况下,你可以使用以下命令来安装这个包: conda install <package_name> 如果你已经确定这个包已经被安装,...
conda list List all packages installed into the environment 'myenv':: conda list -n myenv List all packages that begin with the letters "py", using regex:: conda list ^py Save packages for future use:: conda list --export > package-list.txt Reinstall packages from an export file:: co...
conda list 安装python包 shell 复制代码 conda install package_name #安装包 conda install package_name_1 package_name_2 package_name_3 ... #一次安装多个包 conda install package_name=1.1.0 #安装指定版本的包 更新包 shell 复制代码 conda update package_name # 更新包 ...
操作 命令 新建环境 conda create -n ENV_NAME python=3.8.8 激活环境 conda activate ENV_NAME 安装包 conda install PACKAGE_NAME 卸载包 conda remove PACKAGE_NAME 显示所有已安装的包 conda list 退出环境 conda deactivate 删除环境 conda env remove -n ENV_NAME 显示所有已安装的环境 conda env list 环境...
conda remove package_name 示例:移除numpy conda remove numpy 3.更新包 conda update package_name 示例:更新numpy conda update numpy 4.查看所有已安装的包 conda list 5.解决conda install 下载速度慢 #例如, 添加清华anaconda镜像:conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda...
Stop using vendored chardet package by requests/pip; explicitly depend on charset_normalizer. (#13171) Introduce a new plugin hook, CondaHealthCheck, as part of conda doctor. (#13186) Include activate and deactivate in the --help command list. (#13191) Prioritize download of larger packages ...
conda remove --name $environment_name $package_name 显示某一个环境下安装的所有软件包: 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 ...
使用conda env list查看虚拟环境 3 使用conda安装R语言及R包 创建并激活环境,我分别安装了两个R语言的环境,分别是R3.6.0以及R4.1.1,以R3.6.0为例: conda env list # 查看已创建的conda环境列表 conda create-n r3.6conda activate r3.6conda install r-base=3.6.0#安装R并指定版本 ...