我是在ubuntu中，自带的有python2,python3有安装了anaconda套件，所以python的版本很多，曾经想删除过不用的python．
先执行
sudo apt remove python*在想安装anaconda，结果悲剧了，xorg没有了，结果只能ｃｍｄ玩耍了，一气之下重装ubuntu18系统了
dflx@dflx:~$ ps -t tty1 PID TTY TIME CMD 1889 tty1 00:00:00 gdm-x-session 1891 tty1 00:11:38 Xorg 2051 tty1 00:00:00 gnome-session-b 2365 tty1 00:16:43 gnome-shell 2520 tty1 00:00:00 ibus-daemon我的python情况
dflx@dflx:~$ python
python python3 python3.6m python3m python2 python3.6 python3.6m-config python3m-config python2.7 python3.6-config python3-config python路径
dflx@dflx:~$ whereis python
python: /usr/bin/python2.7 /usr/bin/python3.6m-config /usr/bin/python /usr/bin/python3.6 /usr/bin/python3.6m /usr/bin/python3.6-config /usr/lib/python2.7 /usr/lib/python3.7 /usr/lib/python3.6 /etc/python2.7 /etc/python /etc/python3.6 /usr/local/lib/python2.7 /usr/local/lib/python3.6 /usr/include/python3.6 /usr/include/python3.6m /usr/share/python /home/dflx/anaconda3/bin/python3.6m-config /home/dflx/anaconda3/bin/python /home/dflx/anaconda3/bin/python3.6 /home/dflx/anaconda3/bin/python3.6m /home/dflx/anaconda3/bin/python3.6-config /usr/share/man/man1/python.1.gz dflx@dflx:~$ which python /home/dflx/anaconda3/bin/pythonfind查找命令
find <指定目录> <指定条件> <指定动作>“；
比如使用find命令,搜索在根目录下的所有condarc文件[anaconda源配置文件]所在位置，命令格式为find / -name "condarc"
dflx@dflx:~$ find / -name "condarc" find: ‘/tmp/systemd-private-f3c0644e26174362bd722c3ae1177b11-systemd-timesyncd.service-58avLb’: 权限不够 find: ‘/tmp/systemd-private-f3c0644e26174362bd722c3ae1177b11-bolt.service-lPkFIh’: 权限不够 find: ‘/tmp/vmware-root’: 权限不够 find: ‘/tmp/pulse-PKdhtXMmr18n’: 权限不够 find: ‘/tmp/systemd-private-f3c0644e26174362bd722c3ae1177b11-colord.service-vIICqI’: 权限不够 /home/dflx/anaconda3/pkgs/conda-4.4.10-py36_0/info/test/tests/condarc /home/dflx/anaconda3/pkgs/conda-4.5.4-py36_0/info/test/tests/condarccat 查看
dflx@dflx:~$ cat /home/dflx/anaconda3/pkgs/conda-4.4.10-py36_0/info/test/tests/condarc # This is a sample .condarc file # channel locations. These override conda defaults, i.e., conda will # search *only* the channels listed here, in the order given. Use "defaults" to # automatically include all default channels. Non-url channels will be # interpreted as binstar usernames (this can be changed by modifying the # channel_alias key; see below). channels: - binstar_username - http://some.custom/channel - defaults # Alias to use for non-url channels used with the -c flag. Default is https://conda.binstar.org/ ．．．．．．．．．．．．查看另外一个
dflx@dflx:~$ cat /home/dflx/anaconda3/pkgs/conda-4.5.4-py36_0/info/test/tests/condarc # This is a sample .condarc file # channel locations. These override conda defaults, i.e., conda will # search *only* the channels listed here, in the order given. Use "defaults" to # automatically include all default channels. Non-url channels will be # interpreted as binstar usernames (this can be changed by modifying the # channel_alias key; see below). channels: - binstar_username - http://some.custom/channel - defaults # Alias to use for non-url channels used with the -c flag. Default is https://conda.binstar.org/ channel_alias: https://your.repo/ # Proxy settings: http://[username]:[password]@[server]:[port] proxy_servers: http: http://user:[email protected]:8080 https: https://user:[email protected]:8080查看源url
dflx@dflx:~$ conda config --show add_anaconda_token: True add_pip_as_python_dependency: True aggressive_update_packages: - ca-certificates - certifi - openssl allow_non_channel_urls: False allow_softlinks: False always_copy: False always_softlink: False always_yes: None anaconda_upload: None auto_update_conda: True changeps1: True channel_alias: https://conda.anaconda.org channel_priority: True channels: - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/ - https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/ - defaults - conda-forge在就是配置了一下多环境，我把vscode配ubuntu本身的python环境．因为我的selenium包，怎么在conda都安装不上．
dflx@dflx:~$ conda list
#只放了s 开头的包 scikit-image 0.13.1 py36h14c3975_1 defaults scikit-learn 0.19.1 py36h7aa7ec6_0 defaults scipy 1.0.0 py36hbf646e7_0 defaults Scrapy 1.5.0 <pip> seaborn 0.8.1 py36hfad7ec4_0 defaults send2trash 1.4.2 py36_0 defaults service-identity 17.0.0 <pip> setuptools 38.4.0 py36_0 defaults simplegeneric 0.8.1 py36_2 defaults singledispatch 3.4.0.3 py36h7a266c3_0 defaults sip 4.18.1 py36h51ed4ed_2 defaults six 1.11.0 py36h372c433_1 defaults snowballstemmer 1.2.1 py36h6febd40_0 defaults sortedcollections 0.5.3 py36h3c761f9_0 defaults sortedcontainers 1.5.9 py36_0 defaults sphinx 1.6.6 py36_0 defaults sphinxcontrib 1.0 py36h6d0f590_1 defaults sphinxcontrib-websupport 1.0.1 py36hb5cb234_1 defaults spyder 3.2.6 py36_0 defaults sqlalchemy 1.2.1 py36h14c3975_0 defaults sqlite 3.22.0 h1bed415_0 defaults statsmodels 0.8.0 py36h8533d0b_0 defaults sympy 1.1.1 py36hc6d1c1c_0 defaults tblib 然而ubuntu自带的python包的情况如下
dflx@dflx:~$ pip3 list
DEPRECATION: The default format will switch to columns in the future. You can use --format=(legacy|columns) (or define a format=(legacy|columns) in your pip.conf under the [list] section) to disable this warning. requests-unixsocket (0.1.5) SecretStorage (2.3.1) selenium (3.12.0) setuptools (39.1.0) simplejson (3.15.0) six (1.11.0) system-service (0.3) systemd-python (234) traitlets (4.3.2)我anaconda安装selenium好像出错，我已经修改源的来源了.........
dflx@dflx:~$ conda install selenium
Solving environment: failed # >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<< `$ /home/dflx/anaconda3/bin/conda install selenium` environment variables: CIO_TEST=<not set> CLASSPATH=.::/opt/java/jdk-9.0.1/lib:/opt/java/jdk-9.0.1/jre/lib CONDA_ROOT=/home/dflx/anaconda3 DEFAULTS_PATH=/usr/share/gconf/ubuntu.default.path MANDATORY_PATH=/usr/share/gconf/ubuntu.mandatory.path PATH=/home/dflx/anaconda3/bin:/home/dflx/.local/bin:/usr/local/sbin:/usr/lo cal/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/sna p/bin:/opt/java/jdk-9.0.1/bin:/opt/java/jdk-9.0.1/jre/bin REQUESTS_CA_BUNDLE=<not set> SSL_CERT_FILE=<not set> WINDOWPATH=1 ftp_proxy=<set> http_proxy=<set> https_proxy=<set> socks_proxy=<set> active environment : None user config file : /home/dflx/.condarc populated config files : /home/dflx/.condarc conda version : 4.5.4 conda-build version : 3.4.1 python version : 3.6.4.final.0 base environment : /home/dflx/anaconda3 (writable) channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/linux-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/noarch https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/linux-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/noarch https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/linux-64 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/noarch package cache :