Quickstart/Exporting Virtual Environments
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Creation of a Virtual Environment in Anaconda Using a YAML File
Sometimes (particularly from GitHub) you'll get a YAML file which is a description of which packages to install.
- To create a virtual environment from a YAML file you would issue the following command:
[user@login01 ~]$ conda env create -f myenv.yml
The above command is creating a virtual environment from the YAML called myenv.yml. Below is a copy of the markup in the file called "myenv.yml".
name: ytenv channels: - defaults dependencies: - ca-certificates=2017.08.26=h1d4fec5_0 - certifi=2018.1.18=py27_0 - intel-openmp=2018.0.0=hc7b2577_8 - libedit=3.1=heed3624_0 - libffi=3.2.1=hd88cf55_4 - libgcc-ng=7.2.0=h7cc24e2_2 - libgfortran-ng=7.2.0=h9f7466a_2 - libstdcxx-ng=7.2.0=h7a57d05_2 - mkl=2018.0.1=h19d6760_4 - ncurses=6.0=h9df7e31_2 - numpy=1.14.0=py27h3dfced4_1 - openssl=1.0.2n=hb7f436b_0 - pip=9.0.1=py27ha730c48_4 - python=2.7.14=h1571d57_29 - readline=7.0=ha6073c6_4 - setuptools=38.4.0=py27_0 - sqlite=3.22.0=h1bed415_0 - tk=8.6.7=hc745277_3 - wheel=0.30.0=py27h2bc6bb2_1 - zlib=1.2.11=ha838bed_2 - pip: - backports.functools-lru-cache==1.5 - backports.shutil-get-terminal-size==1.0.0 - cycler==0.10.0 - decorator==4.2.1 - enum34==1.1.6 - h5py==2.7.1 - ipython==5.5.0 - ipython-genutils==0.2.0 - matplotlib==2.1.2 - mpmath==1.0.0 - pathlib2==2.3.0 - pexpect==4.4.0 - pickleshare==0.7.4 - prompt-toolkit==1.0.15 - ptyprocess==0.5.2 - pygments==2.2.0 - pyparsing==2.2.0 - python-dateutil==2.6.1 - pytz==2018.3 - scandir==1.7 - simplegeneric==0.8.1 - six==1.11.0 - subprocess32==3.2.7 - sympy==1.1.1 - traitlets==4.3.2 - wcwidth==0.1.7 - yt==3.4.1
Exporting a Virtual Environment in Anaconda to a YAML File
Export a virtual environment to a YAML file so that you or another researcher can replicate your environment using Anaconda can be done using the following steps:
- Activate the Virtual environment you wish to export:
[user@login01 ~]$ source activate tensorflow1
- Export your active virtual environment using the following command:
{tensorflow1} [user@login01 ~]$ conda env export > tensorflow1.yml