無事JupiterLabでPythonが使えるようなりましたが、今後色々なパッケージを追加していく上で元に戻せるように方法を調べているとcondaで仮想環境を複数作成する方法がAWSのドキュメントに書いてありました。
早速手順にある”conda env create --name <任意の環境名> python=3.9”をコンソールで入力してみるとSyntaxエラー？
調べてみてcondaの後ろのenvが不要っぽく”conda create --name <任意の環境名> python=3.9”で試してみると無事完了しました、ちなみにその際はAWSドキュメントに記載があるようにターミナル（File→New→Terminal）から実行しました。
(studiolab) studio-lab-user@default:~$ conda create --name <任意の環境名> python=3.9
−−−−−−−−−−−−−−−実行ログ
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.10.3
latest version: 4.11.0
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /home/studio-lab-user/.conda/envs/<任意の環境名>
added / updated specs:
- python=3.9
The following packages will be downloaded:
package | build
---------------------------|-----------------
_libgcc_mutex-0.1 | conda_forge 3 KB conda-forge
_openmp_mutex-4.5 | 1_gnu 22 KB conda-forge
bzip2-1.0.8 | h7f98852_4 484 KB conda-forge
ld_impl_linux-64-2.36.1 | hea4e1c9_2 667 KB conda-forge
libnsl-2.0.0 | h7f98852_0 31 KB conda-forge
libuuid-2.32.1 | h7f98852_1000 28 KB conda-forge
openssl-3.0.0 | h7f98852_2 2.9 MB conda-forge
pip-21.3.1 | pyhd8ed1ab_0 1.2 MB conda-forge
python-3.9.9 |h543edf9_0_cpython 27.4 MB conda-forge
python_abi-3.9 | 2_cp39 4 KB conda-forge
readline-8.1 | h46c0cb4_0 295 KB conda-forge
tk-8.6.11 | h27826a3_1 3.3 MB conda-forge
xz-5.2.5 | h516909a_1 343 KB conda-forge
------------------------------------------------------------
Total: 36.6 MB
The following NEW packages will be INSTALLED:
_libgcc_mutex conda-forge/linux-64::_libgcc_mutex-0.1-conda_forge
_openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-1_gnu
bzip2 conda-forge/linux-64::bzip2-1.0.8-h7f98852_4
ca-certificates conda-forge/linux-64::ca-certificates-2021.10.8-ha878542_0
ld_impl_linux-64 conda-forge/linux-64::ld_impl_linux-64-2.36.1-hea4e1c9_2
libffi conda-forge/linux-64::libffi-3.4.2-h7f98852_5
libgcc-ng conda-forge/linux-64::libgcc-ng-11.2.0-h1d223b6_11
libgomp conda-forge/linux-64::libgomp-11.2.0-h1d223b6_11
libnsl conda-forge/linux-64::libnsl-2.0.0-h7f98852_0
libuuid conda-forge/linux-64::libuuid-2.32.1-h7f98852_1000
libzlib conda-forge/linux-64::libzlib-1.2.11-h36c2ea0_1013
ncurses conda-forge/linux-64::ncurses-6.3-h9c3ff4c_0
openssl conda-forge/linux-64::openssl-3.0.0-h7f98852_2
pip conda-forge/noarch::pip-21.3.1-pyhd8ed1ab_0
python conda-forge/linux-64::python-3.9.9-h543edf9_0_cpython
python_abi conda-forge/linux-64::python_abi-3.9-2_cp39
readline conda-forge/linux-64::readline-8.1-h46c0cb4_0
setuptools conda-forge/linux-64::setuptools-60.5.0-py39hf3d152e_0
sqlite conda-forge/linux-64::sqlite-3.37.0-h9cd32fc_0
tk conda-forge/linux-64::tk-8.6.11-h27826a3_1
tzdata conda-forge/noarch::tzdata-2021e-he74cb21_0
wheel conda-forge/noarch::wheel-0.37.1-pyhd8ed1ab_0
xz conda-forge/linux-64::xz-5.2.5-h516909a_1
zlib conda-forge/linux-64::zlib-1.2.11-h36c2ea0_1013
Proceed ([y]/n)? y
Downloading and Extracting Packages
xz-5.2.5 | 343 KB | #################################################### | 100%
readline-8.1 | 295 KB | #################################################### | 100%
libnsl-2.0.0 | 31 KB | #################################################### | 100%
_libgcc_mutex-0.1 | 3 KB | #################################################### | 100%
_openmp_mutex-4.5 | 22 KB | #################################################### | 100%
python_abi-3.9 | 4 KB | #################################################### | 100%
tk-8.6.11 | 3.3 MB | #################################################### | 100%
python-3.9.9 | 27.4 MB | #################################################### | 100%
pip-21.3.1 | 1.2 MB | #################################################### | 100%
libuuid-2.32.1 | 28 KB | #################################################### | 100%
ld_impl_linux-64-2.3 | 667 KB | #################################################### | 100%
bzip2-1.0.8 | 484 KB | #################################################### | 100%
openssl-3.0.0 | 2.9 MB | #################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate <任意の環境名>
#
# To deactivate an active environment, use
#
# $ conda deactivate
−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−ここまで
■作成されている環境を確認
(studiolab) studio-lab-user@default:~$ conda info -e
# conda environments:
#
default /home/studio-lab-user/.conda/envs/default
studiolab * /home/studio-lab-user/.conda/envs/studiolab
<任意の環境名> /home/studio-lab-user/.conda/envs/<任意の環境名>
base /opt/conda
AWSのドキュメントに従い有効化するため"conda activate <任意の環境名>"を実行すると
(studiolab) studio-lab-user@default:~$ conda activate <任意の環境名>
usage: conda [-h] [-V] command ...
conda: error: argument command: invalid choice: 'activate\xa0<任意の環境名>' (choose from 'clean', 'compare', 'config', 'create', 'help', 'info', 'init', 'install', 'list', 'package', 'remove', 'uninstall', 'run', 'search', 'update', 'upgrade')
エラー・・・またか、また調べてみるとcondaのバージョンが上がったせいかshellがbashの場合はcondaではなくsourceコマンドをしようするみたい
(studiolab) studio-lab-user@default:~$ $source activate <任意の環境名>
(<任意の環境名>) studio-lab-user@default:~$ conda info -e
# conda environments:
#
default /home/studio-lab-user/.conda/envs/default
studiolab /home/studio-lab-user/.conda/envs/studiolab
<任意の環境名> * /home/studio-lab-user/.conda/envs/<任意の環境名>
base /opt/conda
<任意の環境名>の右側に*マークがついて有効になりました。
続けてipykernelをインストール
(<任意の環境名>) studio-lab-user@default:~$ $conda install ipykernel
−−−−−−−−−−−−−−−−−−−−−−−−−−ここから
Collecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.10.3
latest version: 4.11.0
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /home/studio-lab-user/.conda/envs/<任意の環境名>
added / updated specs:
- ipykernel
The following packages will be downloaded:
package | build
---------------------------|-----------------
asttokens-2.0.5 | pyhd8ed1ab_0 21 KB conda-forge
backcall-0.2.0 | pyh9f0ad1d_0 13 KB conda-forge
backports-1.0 | py_2 4 KB conda-forge
backports.functools_lru_cache-1.6.4| pyhd8ed1ab_0 9 KB conda-forge
black-21.12b0 | pyhd8ed1ab_0 122 KB conda-forge
click-8.0.3 | py39hf3d152e_1 147 KB conda-forge
dataclasses-0.8 | pyhc8e2a94_3 10 KB conda-forge
debugpy-1.5.1 | py39he80948d_0 2.0 MB conda-forge
entrypoints-0.3 | pyhd8ed1ab_1003 8 KB conda-forge
executing-0.8.2 | pyhd8ed1ab_0 18 KB conda-forge
ipykernel-6.7.0 | py39hef51801_0 180 KB conda-forge
ipython-8.0.1 | py39hf3d152e_0 1.1 MB conda-forge
jedi-0.18.1 | py39hf3d152e_0 992 KB conda-forge
jupyter_core-4.9.1 | py39hf3d152e_1 80 KB conda-forge
libsodium-1.0.18 | h36c2ea0_1 366 KB conda-forge
libstdcxx-ng-11.2.0 | he4da1e4_11 4.2 MB conda-forge
matplotlib-inline-0.1.3 | pyhd8ed1ab_0 11 KB conda-forge
mypy_extensions-0.4.3 | py39hf3d152e_4 10 KB conda-forge
nest-asyncio-1.5.4 | pyhd8ed1ab_0 9 KB conda-forge
parso-0.8.3 | pyhd8ed1ab_0 69 KB conda-forge
pathspec-0.9.0 | pyhd8ed1ab_0 31 KB conda-forge
pexpect-4.8.0 | pyh9f0ad1d_2 47 KB conda-forge
pickleshare-0.7.5 | py_1003 9 KB conda-forge
platformdirs-2.3.0 | pyhd8ed1ab_0 14 KB conda-forge
ptyprocess-0.7.0 | pyhd3deb0d_0 16 KB conda-forge
pure_eval-0.2.1 | pyhd8ed1ab_1 14 KB conda-forge
python-dateutil-2.8.2 | pyhd8ed1ab_0 240 KB conda-forge
pyzmq-22.3.0 | py39h37b5a0c_1 537 KB conda-forge
six-1.16.0 | pyh6c4a22f_0 14 KB conda-forge
stack_data-0.1.4 | pyhd8ed1ab_0 21 KB conda-forge
tomli-1.2.2 | pyhd8ed1ab_0 15 KB conda-forge
tornado-6.1 | py39h3811e60_2 646 KB conda-forge
traitlets-5.1.1 | pyhd8ed1ab_0 82 KB conda-forge
typed-ast-1.5.1 | py39h3811e60_0 213 KB conda-forge
typing_extensions-4.0.1 | pyha770c72_0 26 KB conda-forge
wcwidth-0.2.5 | pyh9f0ad1d_2 33 KB conda-forge
zeromq-4.3.4 | h9c3ff4c_1 351 KB conda-forge
------------------------------------------------------------
Total: 11.6 MB
The following NEW packages will be INSTALLED:
asttokens conda-forge/noarch::asttokens-2.0.5-pyhd8ed1ab_0
backcall conda-forge/noarch::backcall-0.2.0-pyh9f0ad1d_0
backports conda-forge/noarch::backports-1.0-py_2
backports.functoo~ conda-forge/noarch::backports.functools_lru_cache-1.6.4-pyhd8ed1ab_0
black conda-forge/noarch::black-21.12b0-pyhd8ed1ab_0
click conda-forge/linux-64::click-8.0.3-py39hf3d152e_1
dataclasses conda-forge/noarch::dataclasses-0.8-pyhc8e2a94_3
debugpy conda-forge/linux-64::debugpy-1.5.1-py39he80948d_0
decorator conda-forge/noarch::decorator-5.1.1-pyhd8ed1ab_0
entrypoints conda-forge/noarch::entrypoints-0.3-pyhd8ed1ab_1003
executing conda-forge/noarch::executing-0.8.2-pyhd8ed1ab_0
ipykernel conda-forge/linux-64::ipykernel-6.7.0-py39hef51801_0
ipython conda-forge/linux-64::ipython-8.0.1-py39hf3d152e_0
jedi conda-forge/linux-64::jedi-0.18.1-py39hf3d152e_0
jupyter_client conda-forge/noarch::jupyter_client-7.1.1-pyhd8ed1ab_0
jupyter_core conda-forge/linux-64::jupyter_core-4.9.1-py39hf3d152e_1
libsodium conda-forge/linux-64::libsodium-1.0.18-h36c2ea0_1
libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-11.2.0-he4da1e4_11
matplotlib-inline conda-forge/noarch::matplotlib-inline-0.1.3-pyhd8ed1ab_0
mypy_extensions conda-forge/linux-64::mypy_extensions-0.4.3-py39hf3d152e_4
nest-asyncio conda-forge/noarch::nest-asyncio-1.5.4-pyhd8ed1ab_0
parso conda-forge/noarch::parso-0.8.3-pyhd8ed1ab_0
pathspec conda-forge/noarch::pathspec-0.9.0-pyhd8ed1ab_0
pexpect conda-forge/noarch::pexpect-4.8.0-pyh9f0ad1d_2
pickleshare conda-forge/noarch::pickleshare-0.7.5-py_1003
platformdirs conda-forge/noarch::platformdirs-2.3.0-pyhd8ed1ab_0
prompt-toolkit conda-forge/noarch::prompt-toolkit-3.0.24-pyha770c72_0
ptyprocess conda-forge/noarch::ptyprocess-0.7.0-pyhd3deb0d_0
pure_eval conda-forge/noarch::pure_eval-0.2.1-pyhd8ed1ab_1
pygments conda-forge/noarch::pygments-2.11.2-pyhd8ed1ab_0
python-dateutil conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0
pyzmq conda-forge/linux-64::pyzmq-22.3.0-py39h37b5a0c_1
six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0
stack_data conda-forge/noarch::stack_data-0.1.4-pyhd8ed1ab_0
tomli conda-forge/noarch::tomli-1.2.2-pyhd8ed1ab_0
tornado conda-forge/linux-64::tornado-6.1-py39h3811e60_2
traitlets conda-forge/noarch::traitlets-5.1.1-pyhd8ed1ab_0
typed-ast conda-forge/linux-64::typed-ast-1.5.1-py39h3811e60_0
typing_extensions conda-forge/noarch::typing_extensions-4.0.1-pyha770c72_0
wcwidth conda-forge/noarch::wcwidth-0.2.5-pyh9f0ad1d_2
zeromq conda-forge/linux-64::zeromq-4.3.4-h9c3ff4c_1
Proceed ([y]/n)? y
Downloading and Extracting Packages
click-8.0.3 | 147 KB | #################################################### | 100%
dataclasses-0.8 | 10 KB | #################################################### | 100%
parso-0.8.3 | 69 KB | #################################################### | 100%
nest-asyncio-1.5.4 | 9 KB | #################################################### | 100%
pyzmq-22.3.0 | 537 KB | #################################################### | 100%
zeromq-4.3.4 | 351 KB | #################################################### | 100%
pure_eval-0.2.1 | 14 KB | #################################################### | 100%
typing_extensions-4. | 26 KB | #################################################### | 100%
ipython-8.0.1 | 1.1 MB | #################################################### | 100%
tornado-6.1 | 646 KB | #################################################### | 100%
ptyprocess-0.7.0 | 16 KB | #################################################### | 100%
backports-1.0 | 4 KB | #################################################### | 100%
entrypoints-0.3 | 8 KB | #################################################### | 100%
backports.functools_ | 9 KB | #################################################### | 100%
traitlets-5.1.1 | 82 KB | #################################################### | 100%
six-1.16.0 | 14 KB | #################################################### | 100%
asttokens-2.0.5 | 21 KB | #################################################### | 100%
jedi-0.18.1 | 992 KB | #################################################### | 100%
jupyter_core-4.9.1 | 80 KB | #################################################### | 100%
mypy_extensions-0.4. | 10 KB | #################################################### | 100%
stack_data-0.1.4 | 21 KB | #################################################### | 100%
ipykernel-6.7.0 | 180 KB | #################################################### | 100%
typed-ast-1.5.1 | 213 KB | #################################################### | 100%
libstdcxx-ng-11.2.0 | 4.2 MB | #################################################### | 100%
libsodium-1.0.18 | 366 KB | #################################################### | 100%
backcall-0.2.0 | 13 KB | #################################################### | 100%
pickleshare-0.7.5 | 9 KB | #################################################### | 100%
matplotlib-inline-0. | 11 KB | #################################################### | 100%
wcwidth-0.2.5 | 33 KB | #################################################### | 100%
python-dateutil-2.8. | 240 KB | #################################################### | 100%
debugpy-1.5.1 | 2.0 MB | #################################################### | 100%
pathspec-0.9.0 | 31 KB | #################################################### | 100%
platformdirs-2.3.0 | 14 KB | #################################################### | 100%
tomli-1.2.2 | 15 KB | #################################################### | 100%
executing-0.8.2 | 18 KB | #################################################### | 100%
pexpect-4.8.0 | 47 KB | #################################################### | 100%
black-21.12b0 | 122 KB | #################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−ここまで
無事インストールが完了するとJupiterLabのランチャーに<任意の環境名>:PythonのNotebookとコンソールのアイコンが作成されました。
ちなみにインストール途中の警告メッセージ
==> WARNING: A newer version of conda exists. <==
current version: 4.10.3
latest version: 4.11.0
Please update conda by running
$ conda update -n base conda
の指示に従ってupdateしようとするとbaseのフォルダへのアクセス権がなくエラーになりアップデートできませんでした。
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