how to specify new environment location for conda create

Question

the default location for packages is  conda folder in my home directory  however  on the server I am using  there is a very strict limit of how much space I can use  which basically avoids me from putting anything under my home directory  how can I specify the location for the virtual environment that I want to create  Thanks  server is running Ubuntu

User · Answer

like Paul said  use  conda create --prefix  users     yourEnvName python x x   if you are located in the folder in which you want to create your virtual environment  just omit the path and use  conda create --prefix yourEnvName python x x   conda only keep track of the environments included in the folder envs inside the anaconda folder  The next time you will need to activate your new env  move to the folder where you created it and activate it with  source activate yourEnvName

User · Answer

While using the --prefix option works  you have to explicitly use it every time you create an environment  If you just want your environments stored somewhere else by default  you can configure it in your  condarc file   Please see  https   conda io docs user-guide configuration use-condarc html specify-environment-directories-envs-dirs

User · Answer

If you want to use the --prefix or -p arguments  but want to avoid having to use the environment s full path to activate it  you need to edit the  condarc config file before you create the environment   The  condarc file is in the home directory  C  Users  lt user gt  on Windows  Edit the values under the envs dirs key to include the custom path for your environment  Assuming the custom path is D  envs  the file should end up looking something like this   ssl verify  true channels    - defaults envs dirs    - C  Users  lt user gt  Anaconda3 envs   - D  envs   Then  when you create a new environment on that path  its name will appear along with the path when you run conda env list  and you should be able to activate it using only the name  and not the full path   Command line screenshot  In summary  if you edit  condarc to include D  envs  and then run conda env create -p D  envs myenv python x x  then activate myenv  or source activate myenv on Linux  should work   Hope that helps   P S  I stumbled upon this through trial and error  I think what happens is when you edit the envs dirs key  conda updates    conda environments txt to include the environments found in all the directories specified under the envs dirs  so they can be accessed without using absolute paths

User · Answer

You can create it like this  conda create --prefix C  tensorflow2 python 3 7   and you don t have to move to that folder to activate it     To activate this environment  use     gt  activate C  tensorflow2   As you see I do it like this   D  Development Avector PycharmProjects TensorFlow gt activate C  tensorflow2   C  tensorflow2  D  Development Avector PycharmProjects TensorFlow gt    C  tensorflow2  D  Development Avector PycharmProjects TensorFlow gt conda --version conda 4 5 13

User · Answer

Use the --prefix or -p option to specify where to write the environment files   For example   conda create --prefix  tmp test-env python 2 7   Will create the environment named  tmp test-env which resides in  tmp  instead of the default  conda

User · Answer

I ran into a similar situation   I did have access to a larger data drive   Depending on your situation  and the access you have to the server you can consider  ln -s  datavol path to your  conda  home user  conda   Then subsequent conda commands will put data to the symlinked dir in datavol

[virtualenv] how to specify new environment location for conda create

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