I took these from yml file of packages that my current environment is missing. How do I just install these within my current environment?
channels:
- defaults
dependencies:
- appdirs=1.4.3=py36h28b3542_0
- asn1crypto=0.24.0=py36_0
- attrs=18.2.0=py36h28b3542_0
- blas=1.0=mkl
- cffi=1.11.5=py36h6174b99_1
- constantly=15.1.0=py36h28b3542_0
- cryptography=2.3.1=py36hdbc3d79_0
- freetype=2.9.1=hb4e5f40_0
- html5lib=1.0.1=py36_0
- idna=2.7=py36_0
- incremental=17.5.0=py36_0
- intel-openmp=2019.0=118
- libgfortran=3.0.1=h93005f0_2
- libxml2=2.9.4=0
- libxslt=1.1.29=hc208041_6
- lxml=4.1.1=py36h6c891f4_0
- mkl=2019.0=118
- mkl_fft=1.0.6=py36hb8a8100_0
- mkl_random=1.0.1=py36h5d10147_1
- numpy=1.15.3=py36h6a91979_0
- numpy-base=1.15.3=py36h8a80b8c_0
- pyasn1=0.4.4=py36h28b3542_0
- pyasn1-modules=0.2.2=py36_0
- pycparser=2.19=py36_0
- pyopenssl=18.0.0=py36_0
- service_identity=17.0.0=py36h28b3542_0
- twisted=17.5.0=py36_0
- zope=1.0=py36_1
- zope.interface=4.5.0=py36h1de35cc_0
- pip:
- absl-py==0.2.2
- ete3==3.1.1
- grpcio==1.12.1
I'd like to mention one more thing here. While you can have multiple environments that contain different versions of Python at the same time on the same computer, you can't set up 32- and 64-bit environments using the same Conda management system.
If you have a YAML file, then the most efficacious way to apply it to a given env is with conda env update
:
conda env update --file environment.yml
⚠️ Warning: The
conda env
commands don't prompt you to review and approve the transactions - it simply executes the changes. Be sure to carefully review the YAML file to ensure all of the changes are desired.
The format that Conda accepts for conda install --file
is that which matches the output of conda list --export
. It's not a YAML, but a simple text file with one package per line, similar to the one produced by pip freeze
, except for the single equality sign ('=' rather than ==
).
conda list --export
appdirs=1.4.3=py36h28b3542_0
asn1crypto=0.24.0=py36_0
...
zope=1.0=py36_1
zope.interface=4.5.0=py36h1de35cc_0
Note that the builds are not required, e.g., the following would also work and may actually be slightly more portable across architectures
appdirs=1.4.3
asn1crypto=0.24.0
...
zope=1.0
zope.interface=4.5.0
Unfortunately, conda install
doesn't support PyPI packages; you'd have to install those separately via pip install
in your activated env.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With