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Anaconda export Environment file

How can I make anaconda environment file which could be use on other computers?

I exported my anaconda python environment to YML using conda env export > environment.yml. The exported environment.yml contains this line prefix: /home/superdev/miniconda3/envs/juicyenv which maps to my anaconda's location which will be different on other's pcs.

I was just doing some testing, and thought I found the prefix is ignored... not sure why it is in the env export. You should be able to do conda env create -f environment.yml Just as an aside, in my experience this is not going to work across platforms, because conda env will list many dependencies such as ` vs2015_runtime` if you are on Windows. But of course that is not available on linux.
Conda actually recommends creating the environment.yml file by hand, so you could leave it out - see stackoverflow.com/questions/39280638/…
Note that there are good instructions for this in the docs now; I'm guessing this section didn't exist when these answers were originally written.

M
M.Innat

I can't find anything in the conda specs which allows you to export an environment file without the prefix: ... line. However, like Alex pointed out in the comments, conda doesn't seem to care about the prefix line when creating an environment from the file.

With that in mind, if you want the other user to have no knowledge of your default install path, you can remove the prefix line with grep before writing to environment.yml.

conda env export | grep -v "^prefix: " > environment.yml

Either way, the other user then runs:

conda env create -f environment.yml

and the environment will get installed in their default conda environment path.

If you want to specify a different install path than the default for your system (not related to 'prefix' in the environment.yml), just use the -p flag followed by the required path.

conda env create -f environment.yml -p /home/user/anaconda3/envs/env_name

Note that Conda recommends creating the environment.yml by hand, which is especially important if you are wanting to share your environment across platforms (Windows/Linux/Mac). In this case, you can just leave out the prefix line.


...eggcellent! 👍
I'm guessing the prefix helps create new environments faster when used on the same machine, but I don't have much evidence for this claim. I once ran without the prefix and it had to download some extra packages that it didn't need to do before. And yet, that only happened once, so maybe after that they were cached on a system level(?) So, not needed for sharing, but maybe desirable when just using it for yourself.
Z
Zoe stands with Ukraine

The easiest way to save the packages from an environment to be installed in another computer is:

$ conda list -e > req.txt

then you can install the environment using

$ conda create -n <environment-name> --file req.txt

if you use pip, please use the following commands: reference https://pip.pypa.io/en/stable/reference/pip_freeze/

$ env1/bin/pip freeze > requirements.txt
$ env2/bin/pip install -r requirements.txt

Nice, but it doesn't seem to work with pip installed packages, however.
thank you I just updated based on the given reference
I've used both Anaconda Navigator and pip (from within the environment) to install things. What would you recommend I use? Both commands?
I think it is better to use the conda command in Anaconda environment, you can also use pip if it is needed
is this method better than installing from *.yml? What are the advantages of this method?
I
Ilyas

Linux conda env export --no-builds | grep -v "prefix" > environment.yml

Windows conda env export --no-builds | findstr -v "prefix" > environment.yml

Rationale: By default, conda env export includes the build information:

$ conda env export
...
dependencies:
  - backcall=0.1.0=py37_0
  - blas=1.0=mkl
  - boto=2.49.0=py_0
...

You can instead export your environment without build info:

$ conda env export --no-builds
...
dependencies:
  - backcall=0.1.0
  - blas=1.0
  - boto=2.49.0
...

Which unties the environment from the Python version and OS.


I agree that this is a good answer, but consider adding some details on why excluding build info is useful for transferring envs across platforms.
Ended up using this, but great idea @merv. Did just that.
Unfortunately, this will not always work when installing exporting and re-installing on different OS.
Worked like a charm. Thanks!
A
Arka Mukherjee

First activate your Conda environment (Below, myenv is the supposed name of the environment).

conda activate myenv

Then you just need to run this command

conda env export > environment.yml

Note that you could replace environment.yml with any other filename of your choice.


S
Savrige

First activate your conda environment (the one u want to export/backup)

conda activate myEnv

Export all packages to a file (myEnvBkp.txt)

conda list --explicit > myEnvBkp.txt

Restore/import the environment:

conda create --name myEnvRestored --file myEnvBkp.txt

N
Nicole Finnie

I find exporting the packages in string format only is more portable than exporting the whole conda environment. As the previous answer already suggested:

$ conda list -e > requirements.txt

However, this requirements.txt contains build numbers which are not portable between operating systems, e.g. between Mac and Ubuntu. In conda env export we have the option --no-builds but not with conda list -e, so we can remove the build number by issuing the following command:

$ sed -i -E "s/^(.*\=.*)(\=.*)/\1/" requirements.txt 

And recreate the environment on another computer:

conda create -n recreated_env --file requirements.txt 

sed command worked pretty nice. I had to delete a patch version. So major.minor.patch to major.minor and it worked. Turns out, the lower patch number had been dropped by the main repos.
B
Bo Scho

For me the procedure given by Conda worked:

https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#sharing-an-environment

But only if executed in an anaconda prompt/ console.

VSCode terminal only generated a yml-file with a path to my environment, but no explicit list of packages in the dependencies.


In particular, it seems the desired steps are in the sub-section Exporting an environment file across platforms. I'm guessing this doc didn't exist until recently. Although, with the --from-history option, pip packages are not included. So if you have some of those you should add them manually (could be copied from the full export).
M
Mahmoud Nasr

For Windows Users

Open CMD Conda Activate SpidersEnv conda env export > SpidersEnv.yml Then browse the user folder and search for SpidersEnv.yml

this is also another way to backup (export) your environment