python所遇到的坑

最新推荐文章于 2024-01-20 16:51:26 发布

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最新推荐文章于 2024-01-20 16:51:26 发布

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文章标签： java python 开发工具

原文链接：http://www.cnblogs.com/xyou/p/9222695.html

本文记录了作者在Ubuntu系统中管理Python及Anaconda环境的过程，包括安装、卸载不同版本的Python，以及解决Anaconda环境下selenium等包的安装问题。

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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 : /home/dflx/