@camomile_dzi

Как автоматически установить библиокеки из requirements.txt(conda)?

Не могу автоматически установить библиотеки из requirements.txt.
Точнее они устанавливаются, но нужно перезагрузить терминал, чего нет если писать эти команды вручную.
Возможно нужно прописать PATH
(Новичик)

import os
myTem_s = [
'conda list -e > /home/camomile/STEM/requirements.txt', 
'conda create --name STEM -y --file /home/camomile/STEM/requirements.txt',
'/home/camomile/miniconda3/bin/conda activate STEM']
for myTem in myTem_s:
    os.system (myTem)


/main/linux-64::mccabe-0.6.1-py37_1
  mkl                pkgsCollecting package metadata (current_repodata.json): done
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/camomile/miniconda3/envs/STEM

  added / updated specs:
    - _libgcc_mutex==0.1=main
    - asn1crypto==1.2.0=py37_0
    - astroid==2.3.3=py37_0
    - blas==1.0=mkl
    - ca-certificates==2020.1.1=0
    - certifi==2019.11.28=py37_0
    - cffi==1.13.0=py37h2e261b9_0
    - chardet==3.0.4=py37_1003
    - conda-package-handling==1.6.0=py37h7b6447c_0
    - conda==4.8.2=py37_0
    - cryptography==2.8=py37h1ba5d50_0
    - idna==2.8=py37_0
    - intel-openmp==2020.0=166
    - isort==4.3.21=py37_0
    - lazy-object-proxy==1.4.3=py37h7b6447c_0
    - libedit==3.1.20181209=hc058e9b_0
    - libffi==3.2.1=hd88cf55_4
    - libgcc-ng==9.1.0=hdf63c60_0
    - libgfortran-ng==7.3.0=hdf63c60_0
    - libstdcxx-ng==9.1.0=hdf63c60_0
    - mccabe==0.6.1=py37_1
    - mkl-service==2.3.0=py37he904b0f_0
    - mkl==2020.0=166
    - mkl_fft==1.0.15=py37ha843d7b_0
    - mkl_random==1.1.0=py37hd6b4f25_0
    - ncurses==6.1=he6710b0_1
    - numpy-base==1.18.1=py37hde5b4d6_1
    - numpy==1.18.1=py37h4f9e942_0
    - openssl==1.1.1d=h7b6447c_4
    - pandas==1.0.1=py37h0573a6f_0
    - pip==19.3.1=py37_0
    - pycosat==0.6.3=py37h14c3975_0
    - pycparser==2.19=py37_0
    - pylint==2.4.4=py37_0
    - pyopenssl==19.0.0=py37_0
    - pysocks==1.7.1=py37_0
    - python-dateutil==2.8.1=py_0
    - python==3.7.4=h265db76_1
    - pytz==2019.3=py_0
    - readline==7.0=h7b6447c_5
    - requests==2.22.0=py37_0
    - ruamel_yaml==0.15.46=py37h14c3975_0
    - setuptools==41.4.0=py37_0
    - six==1.12.0=py37_0
    - sqlite==3.30.0=h7b6447c_0
    - tk==8.6.8=hbc83047_0
    - tqdm==4.36.1=py_0
    - urllib3==1.24.2=py37_0
    - wheel==0.33.6=py37_0
    - wrapt==1.11.2=py37h7b6447c_0
    - xz==5.2.4=h14c3975_4
    - yaml==0.1.7=had09818_2
    - zlib==1.2.11=h7b6447c_3


The following NEW packages will be INSTALLED:

  _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main
  asn1crypto         pkgs/main/linux-64::asn1crypto-1.2.0-py37_0
  astroid            pkgs/main/linux-64::astroid-2.3.3-py37_0
  blas               pkgs/main/linux-64::blas-1.0-mkl
  ca-certificates    pkgs/main/linux-64::ca-certificates-2020.1.1-0
  certifi            pkgs/main/linux-64::certifi-2019.11.28-py37_0
  cffi               pkgs/main/linux-64::cffi-1.13.0-py37h2e261b9_0
  chardet            pkgs/main/linux-64::chardet-3.0.4-py37_1003
  conda              pkgs/main/linux-64::conda-4.8.2-py37_0
  conda-package-han~ pkgs/main/linux-64::conda-package-handling-1.6.0-py37h7b6447c_0
  cryptography       pkgs/main/linux-64::cryptography-2.8-py37h1ba5d50_0
  idna               pkgs/main/linux-64::idna-2.8-py37_0
  intel-openmp       pkgs/main/linux-64::intel-openmp-2020.0-166
  isort              pkgs/main/linux-64::isort-4.3.21-py37_0
  lazy-object-proxy  pkgs/main/linux-64::lazy-object-proxy-1.4.3-py37h7b6447c_0
  libedit            pkgs/main/linux-64::libedit-3.1.20181209-hc058e9b_0
  libffi             pkgs/main/linux-64::libffi-3.2.1-hd88cf55_4
  libgcc-ng          pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0
  libgfortran-ng     pkgs/main/linux-64::libgfortran-ng-7.3.0-hdf63c60_0
  libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0
  mccabe             pkgs/main/linux-64::mccabe-0.6.1-py37_1
  mkl                pkgs/main/linux-64::mkl-2020.0-166
  mkl-service        pkgs/main/linux-64::mkl-service-2.3.0-py37he904b0f_0
  mkl_fft            pkgs/main/linux-64::mkl_fft-1.0.15-py37ha843d7b_0
  mkl_random         pkgs/main/linux-64::mkl_random-1.1.0-py37hd6b4f25_0
  ncurses            pkgs/main/linux-64::ncurses-6.1-he6710b0_1
  numpy              pkgs/main/linux-64::numpy-1.18.1-py37h4f9e942_0
  numpy-base         pkgs/main/linux-64::numpy-base-1.18.1-py37hde5b4d6_1
  openssl            pkgs/main/linux-64::openssl-1.1.1d-h7b6447c_4
  pandas             pkgs/main/linux-64::pandas-1.0.1-py37h0573a6f_0
  pip                pkgs/main/linux-64::pip-19.3.1-py37_0
  pycosat            pkgs/main/linux-64::pycosat-0.6.3-py37h14c3975_0
  pycparser          pkgs/main/linux-64::pycparser-2.19-py37_0
  pylint             pkgs/main/linux-64::pylint-2.4.4-py37_0
  pyopenssl          pkgs/main/linux-64::pyopenssl-19.0.0-py37_0
  pysocks            pkgs/main/linux-64::pysocks-1.7.1-py37_0
  python             pkgs/main/linux-64::python-3.7.4-h265db76_1
  python-dateutil    pkgs/main/noarch::python-dateutil-2.8.1-py_0
  pytz               pkgs/main/noarch::pytz-2019.3-py_0
  readline           pkgs/main/linux-64::readline-7.0-h7b6447c_5
  requests           pkgs/main/linux-64::requests-2.22.0-py37_0
  ruamel_yaml        pkgs/main/linux-64::ruamel_yaml-0.15.46-py37h14c3975_0
  setuptools         pkgs/main/linux-64::setuptools-41.4.0-py37_0
  six                pkgs/main/linux-64::six-1.12.0-py37_0
  sqlite             pkgs/main/linux-64::sqlite-3.30.0-h7b6447c_0
  tk                 pkgs/main/linux-64::tk-8.6.8-hbc83047_0
  tqdm               pkgs/main/noarch::tqdm-4.36.1-py_0
  urllib3            pkgs/main/linux-64::urllib3-1.24.2-py37_0
  wheel              pkgs/main/linux-64::wheel-0.33.6-py37_0
  wrapt              pkgs/main/linux-64::wrapt-1.11.2-py37h7b6447c_0
  xz                 pkgs/main/linux-64::xz-5.2.4-h14c3975_4
  yaml               pkgs/main/linux-64::yaml-0.1.7-had09818_2
  zlib               pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3


Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate STEM
#
# To deactivate an active environment, use
#
#     $ conda deactivate


CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'.
To initialize your shell, run

    $ conda init <SHELL_NAME>

Currently supported shells are:
  - bash
  - fish
  - tcsh
  - xonsh
  - zsh
  - powershell

See 'conda init --help' for more information and options.

IMPORTANT: You may need to close and restart your shell after running 'conda init'.
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Andriy_Kosmenyuk
@Andriy_Kosmenyuk
HTML CSS JS Python
pip install -r requirements.txt.
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