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/python
find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/condarc
cat 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:pass@corp.com:8080
https: https://user:pass@corp.com: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 :