在 Windows 上通过 .condarc 文件设置 Python Anaconda 代理
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Python Anaconda Proxy Setup via .condarc file on Windows
提问by user914425
I am having trouble going through a proxy for Anaconda install conda on a Windows 7 machine. How do I use a proxy?
我在 Windows 7 机器上通过代理安装 Anaconda 时遇到问题。如何使用代理？
http://conda.pydata.org/docs/config.html
http://conda.pydata.org/docs/config.html
采纳答案by user914425
I had to create a .condarc file at the C:\Users\usernamefolder.
我必须在C:\Users\username文件夹中创建一个 .condarc 文件。
Use copy con .condarcfile if it does not exist at folder above.
copy con .condarc如果文件在上面的文件夹中不存在，请使用该文件。
File content is:
文件内容为：
proxy_servers:
http: http://username:[email protected]:8080
https: https://username:[email protected]:8080
Two notes:
两个注意事项：
- Do not use tabs, there must be space between
http:andhttp://... - You might not have a username and password for the proxy. Leave out the
username:passwordpart and it will still work
- 不要使用制表符，
http:和之间必须有空格http://... - 您可能没有代理的用户名和密码。省略
username:password部分，它仍然可以工作
回答by Andrushenko Alexander
On Windows 10 you need to set up additionally the domain name in the .condarc:
在 Windows 10 上，您需要在 .condarc 中额外设置域名：
channels:
- admin
show_channel_urls: true
allow_other_channels: true
proxy_servers:
http: http://domainname\username:password@proxyserver:port
https: http://domainname\username:password@proxyserver:port
ssl_verify: true
回答by zheng
On windows 10 machine also. Following accepted answer's format gives a load error, invalid YAML.
在 Windows 10 机器上也是如此。按照接受的答案格式给出加载错误，无效的 YAML。
Changing '//' to '\' fixed the issue for me.
将 '//' 更改为 '\' 为我解决了这个问题。
proxy_servers:
http: http:\username:[email protected]:8080
https: https:\username:[email protected]:8080
回答by Bhagirath Kumar Lader
In my case on a linux machine behind a McAfee web-gateway proxy, only the following setup worked for conda (I removed the http proxy): hostname:~ # cat .condarc proxy_servers: https: https://domain\user:password@server:port
在我的情况下，在 McAfee 网络网关代理后面的 linux 机器上，只有以下设置适用于 conda（我删除了 http 代理）：hostname:~ # cat .condarc proxy_servers: https: https://domain\user:password @服务器端口
hostname# conda install tensorflow Solving environment: done
hostname# conda install tensorflow 解决环境：done
Package Plan
套餐计划
environment location: /anaconda3
环境位置：/anaconda3
added / updated specs: - tensorflow
添加/更新规格： - tensorflow
The following packages will be downloaded:
将下载以下软件包：
package | build
---------------------------|-----------------
markdown-3.0.1 | py36_0 107 KB
gast-0.2.0 | py36_0 15 KB
libprotobuf-3.6.0 | hdbcaa40_0 4.1 MB
protobuf-3.6.0 | py36hf484d3e_0 610 KB
conda-4.5.12 | py36_0 1.0 MB
termcolor-1.1.0 | py36_1 7 KB
tensorflow-base-1.9.0 |mkl_py36h2ca6a6a_0 75.7 MB
grpcio-1.12.1 | py36hdbcaa40_0 1.7 MB
astor-0.7.1 | py36_0 43 KB
tensorboard-1.9.0 | py36hf484d3e_0 3.3 MB
tensorflow-1.9.0 |mkl_py36h6d6ce78_1 3 KB
absl-py-0.6.1 | py36_0 152 KB
_tflow_190_select-0.0.3 | mkl 2 KB
------------------------------------------------------------
Total: 86.7 MB
The following NEW packages will be INSTALLED:
将安装以下新软件包：
_tflow_190_select: 0.0.3-mkl
absl-py: 0.6.1-py36_0
astor: 0.7.1-py36_0
gast: 0.2.0-py36_0
grpcio: 1.12.1-py36hdbcaa40_0
libprotobuf: 3.6.0-hdbcaa40_0
markdown: 3.0.1-py36_0
protobuf: 3.6.0-py36hf484d3e_0
tensorboard: 1.9.0-py36hf484d3e_0
tensorflow: 1.9.0-mkl_py36h6d6ce78_1
tensorflow-base: 1.9.0-mkl_py36h2ca6a6a_0
termcolor: 1.1.0-py36_1
The following packages will be UPDATED:
以下软件包将被更新：
conda: 4.5.4-py36_0 --> 4.5.12-py36_0
Proceed ([y]/n)? y
继续 ([y]/n)？是
Downloading and Extracting Packages markdown-3.0.1 | 107 KB | ####################################### | 100% gast-0.2.0 | 15 KB | ####################################### | 100% libprotobuf-3.6.0 | 4.1 MB | ####################################### | 100% protobuf-3.6.0 | 610 KB | ####################################### | 100% conda-4.5.12 | 1.0 MB | ####################################### | 100% termcolor-1.1.0 | 7 KB | ####################################### | 100% tensorflow-base-1.9. | 75.7 MB | ####################################### | 100% grpcio-1.12.1 | 1.7 MB | ####################################### | 100% astor-0.7.1 | 43 KB | ####################################### | 100% tensorboard-1.9.0 | 3.3 MB | ####################################### | 100% tensorflow-1.9.0 | 3 KB | ####################################### | 100% absl-py-0.6.1 | 152 KB | ####################################### | 100% _tflow_190_select-0. | 2 KB | ####################################### | 100% Preparing transaction: done Verifying transaction: done Executing transaction: done
下载和解压包 markdown-3.0.1 | 107 KB | ##################################### | 100% gast-0.2.0 | 15 KB | ##################################### | 100% libprotobuf-3.6.0 | 4.1 MB | ##################################### | 100% protobuf-3.6.0 | 610 KB | ##################################### | 100% conda-4.5.12 | 1.0 MB | ##################################### | 100% termcolor-1.1.0 | 7 KB | ##################################### | 100% tensorflow-base-1.9。| 75.7 MB | ##################################### | 100% grpcio-1.12.1 | 1.7 MB | ##################################### | 100% astor-0.7.1 | 43 KB | ##################################### | 100% tensorboard-1.9.0 | 3.3 MB | ##################################### | 100% tensorflow-1.9。0 | 3 KB | ##################################### | 100% absl-py-0.6.1 | 152 KB | ##################################### | 100% _tflow_190_select-0。| 2 KB | ##################################### | 100% 准备交易：完成 验证交易：完成 执行交易：完成
