conda 卸载和安装时包不匹配
Packages don't match when conda uninstall and install
打开jupyter notebook时出现了ImportError所以我跟着here和运行conda uninstall pyzmq->conda install pyzmq.
我使用 conda 而不是 pip，因为人们说 “不要在 conda 环境下混淆 conda 和 pip 命令”。 =55=].
然后我开始意识到conda uninstall pyzmq和conda install pyzmq的包是不同的：
conda uninstall pyzmq; 19 个软件包已删除conda install pyzmq;仅安装 3 个软件包
为什么通过相同的 conda 命令安装和卸载的包不同？
他们不应该安装并重新安装完全对应的软件包吗？
我对 Anaconda 还是很陌生，如果您有任何更好的 conda envs 管理技巧以最大限度地减少 envs 损坏的风险，非常感谢您的建议.
当conda uninstall
(my_env) C:\Users\koyamashinji>conda uninstall pyzmq
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\koyamashinji\anaconda3\envs\my_env
removed specs:
- pyzmq
The following packages will be REMOVED:
colorama-0.4.4-py_0
decorator-4.4.2-py_0
ipykernel-5.3.4-py36h5ca1d4c_0
ipython-5.8.0-py36_1
ipython_genutils-0.2.0-pyhd3eb1b0_1
jupyter_client-6.1.7-py_0
jupyter_core-4.7.0-py36haa95532_0
libsodium-1.0.18-h62dcd97_0
pickleshare-0.7.5-pyhd3eb1b0_1003
prompt_toolkit-1.0.15-py_1
pygments-2.7.2-pyhd3eb1b0_0
python-dateutil-2.8.1-py_0
pywin32-227-py36he774522_1
pyzmq-20.0.0-py36hd77b12b_1
simplegeneric-0.8.1-py36_2
tornado-6.1-py36h2bbff1b_0
traitlets-4.3.3-py36_0
wcwidth-0.2.5-py_0
zeromq-4.3.3-ha925a31_3
当conda install
(my_env) C:\Users\koyamashinji>conda install pyzmq
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\koyamashinji\anaconda3\envs\my_env
added / updated specs:
- pyzmq
The following NEW packages will be INSTALLED:
libsodium pkgs/main/win-64::libsodium-1.0.18-h62dcd97_0
pyzmq pkgs/main/win-64::pyzmq-20.0.0-py36hd77b12b_1
zeromq pkgs/main/win-64::zeromq-4.3.3-ha925a31_3
Why do packages installed and uninstalled via same conda command differ?
Shouldn't they install and reinstall exactly corresponding packages?
conda install和conda uninstall应该安装和卸载完全对应的包，只要环境还没有坏.
我的环境已经坏了，可能是因为我之前使用 pip 安装了一些 jupyter 相关的包（你可以看到一些包是 py_0 这意味着它们是通过 [=19= 安装的） ].)
I am still pretty new to Anaconda, if you have any tricks for a better conda envs management to minimize the risk of broken envs, your advise is greatly appreciated.
我花了整整一周的时间试图弄清楚它们是如何工作的，这就是我得到的（目前）。
确保在创建环境时指定 python Anaconda 支持的版本。
选中 here 并在 conda create -n my_env python==version.
时指定 python 版本
确保在创建环境时也安装了所有已知的必需包。
conda create -n my_env python=version package_A, package_B ...
正如 Official document 所说“在此环境中同时安装所有你想要的程序。一次安装 1 个程序会导致依赖冲突。”
确保您准确理解 conda install/uninstall 和 pip install/uninstall 的作用。
conda install/uninstall
(my_env) C:\Users> conda install package_A
# Installs : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> conda uninstall package_A
# Uninstalls : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> conda install package_A
# Installs : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> conda uninstall dependency_1
# Uninstalls : package_A + dependencies(dependency_1, dependency_2, dependency_3)
pip install/uninstall
(my_env) C:\Users> pip install package_A
# Installs : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> pip uninstall package_A
# Uninstalls : package_A ONLY
(my_env) C:\Users> pip install package_A
# Installs : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> pip uninstall dependency_1
# Uninstalls : dependency_1 ONLY
打开jupyter notebook时出现了ImportError所以我跟着here和运行conda uninstall pyzmq->conda install pyzmq.
我使用 conda 而不是 pip，因为人们说 “不要在 conda 环境下混淆 conda 和 pip 命令”。 =55=].
然后我开始意识到conda uninstall pyzmq和conda install pyzmq的包是不同的：
conda uninstall pyzmq; 19 个软件包已删除conda install pyzmq;仅安装 3 个软件包
为什么通过相同的 conda 命令安装和卸载的包不同？
他们不应该安装并重新安装完全对应的软件包吗？
我对 Anaconda 还是很陌生，如果您有任何更好的 conda envs 管理技巧以最大限度地减少 envs 损坏的风险，非常感谢您的建议.
当conda uninstall
(my_env) C:\Users\koyamashinji>conda uninstall pyzmq
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\koyamashinji\anaconda3\envs\my_env
removed specs:
- pyzmq
The following packages will be REMOVED:
colorama-0.4.4-py_0
decorator-4.4.2-py_0
ipykernel-5.3.4-py36h5ca1d4c_0
ipython-5.8.0-py36_1
ipython_genutils-0.2.0-pyhd3eb1b0_1
jupyter_client-6.1.7-py_0
jupyter_core-4.7.0-py36haa95532_0
libsodium-1.0.18-h62dcd97_0
pickleshare-0.7.5-pyhd3eb1b0_1003
prompt_toolkit-1.0.15-py_1
pygments-2.7.2-pyhd3eb1b0_0
python-dateutil-2.8.1-py_0
pywin32-227-py36he774522_1
pyzmq-20.0.0-py36hd77b12b_1
simplegeneric-0.8.1-py36_2
tornado-6.1-py36h2bbff1b_0
traitlets-4.3.3-py36_0
wcwidth-0.2.5-py_0
zeromq-4.3.3-ha925a31_3
当conda install
(my_env) C:\Users\koyamashinji>conda install pyzmq
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: C:\Users\koyamashinji\anaconda3\envs\my_env
added / updated specs:
- pyzmq
The following NEW packages will be INSTALLED:
libsodium pkgs/main/win-64::libsodium-1.0.18-h62dcd97_0
pyzmq pkgs/main/win-64::pyzmq-20.0.0-py36hd77b12b_1
zeromq pkgs/main/win-64::zeromq-4.3.3-ha925a31_3
Why do packages installed and uninstalled via same conda command differ? Shouldn't they install and reinstall exactly corresponding packages?
conda install和conda uninstall应该安装和卸载完全对应的包，只要环境还没有坏.
我的环境已经坏了，可能是因为我之前使用 pip 安装了一些 jupyter 相关的包（你可以看到一些包是 py_0 这意味着它们是通过 [=19= 安装的） ].)
I am still pretty new to Anaconda, if you have any tricks for a better conda envs management to minimize the risk of broken envs, your advise is greatly appreciated.
我花了整整一周的时间试图弄清楚它们是如何工作的，这就是我得到的（目前）。
确保在创建环境时指定 python Anaconda 支持的版本。
时指定 python 版本
选中 here 并在conda create -n my_env python==version.确保在创建环境时也安装了所有已知的必需包。
conda create -n my_env python=version package_A, package_B ...
正如 Official document 所说“在此环境中同时安装所有你想要的程序。一次安装 1 个程序会导致依赖冲突。”确保您准确理解
conda install/uninstall和pip install/uninstall的作用。
conda install/uninstall
(my_env) C:\Users> conda install package_A
# Installs : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> conda uninstall package_A
# Uninstalls : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> conda install package_A
# Installs : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> conda uninstall dependency_1
# Uninstalls : package_A + dependencies(dependency_1, dependency_2, dependency_3)
pip install/uninstall
(my_env) C:\Users> pip install package_A
# Installs : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> pip uninstall package_A
# Uninstalls : package_A ONLY
(my_env) C:\Users> pip install package_A
# Installs : package_A + dependencies(dependency_1, dependency_2, dependency_3)
(my_env) C:\Users> pip uninstall dependency_1
# Uninstalls : dependency_1 ONLY