anaconda python更换清华源
前言
在使用anaconda python环境过程中你会发现使用conda下载包的速度非常的慢，因为使用的是国外的服务器，所以这里要设置为国内的镜像。使用下面的配置命令即可：
添加Anaconda的TUNA镜像
conda config --add channels 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/' //TUNA的help中镜像地址加有引号，需要去掉#
conda config --add channels 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/'
conda config --setshow_channel_urls yes //设置搜索时显示通道地址添加后
(base) C:\Users\aikera>conda config --show channels
channels:
- 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/'
- 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/'
- defaults
- conda-forge还有简单粗暴地方法：直接修改conda的配置，一般在当前用户路径下，比如C:\Users\Administrator.condarc .condarc具体内容如下：
channels:
- 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/'
- 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/'
- defaults
- conda-forge验证
conda config --show(base) C:\Users\aikera>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/main/'
- 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/'
- defaults
- conda-forge
client_ssl_cert: None
client_ssl_cert_key: None
clobber: False
create_default_packages: []
custom_channels:
pkgs/r: https://repo.anaconda.com
pkgs/msys2: https://repo.anaconda.com
pkgs/main: https://repo.anaconda.com
pkgs/pro: https://repo.anaconda.com
pkgs/free: https://repo.anaconda.com
custom_multichannels:
local: []
defaults: ["https://repo.anaconda.com/pkgs/main", "https://repo.anaconda.com/pkgs/free", "https://repo.anaconda.com/pkgs/r", "https://repo.anaconda.com/pkgs/pro", "https://repo.anaconda.com/pkgs/msys2"]
default_channels:
- https://repo.anaconda.com/pkgs/main
- https://repo.anaconda.com/pkgs/free
- https://repo.anaconda.com/pkgs/r
- https://repo.anaconda.com/pkgs/pro
- https://repo.anaconda.com/pkgs/msys2
disallowed_packages: []
download_only: False
envs_dirs:
- D:\ProgramData\Anaconda2\envs
- C:\Users\aikera\AppData\Local\conda\conda\envs
- C:\Users\aikera\.conda\envs测试：
安装numpy试试：
(base) C:\Users\aikera>conda install numpy
Solving environment: /
WARNING: The remote server could not find the noarch directory for the
requested channel with url: https://conda.anaconda.org/'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/'
It is possible you have given conda an invalid channel. Please double-check
your conda configuration using `conda config --show`.
If the requested url is in fact a valid conda channel, please request that the
channel administrator create `noarch/repodata.json` and associated
`noarch/repodata.json.bz2` files, even if `noarch/repodata.json` is empty.
$ mkdir noarch
$ echo '{}' > noarch/repodata.json
$ bzip2 -k noarch/repodata.json
/
WARNING: The remote server could not find the noarch directory for the
requested channel with url: https://conda.anaconda.org/'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/'
It is possible you have given conda an invalid channel. Please double-check
your conda configuration using `conda config --show`.
If the requested url is in fact a valid conda channel, please request that the
channel administrator create `noarch/repodata.json` and associated
`noarch/repodata.json.bz2` files, even if `noarch/repodata.json` is empty.
$ mkdir noarch
$ echo '{}' > noarch/repodata.json
$ bzip2 -k noarch/repodata.json
done
## Package Plan ##
environment location: D:\ProgramData\Anaconda2
added / updated specs:
- numpy
The following packages will be downloaded:
package | build
---------------------------|-----------------
numpy-1.15.0 | py27h911edcf_0 36 KB defaults
numpy-base-1.15.0 | py27hfef472a_0 3.8 MB defaults
llvmlite-0.24.0 | py27hc56fc5f_0 9.2 MB defaults
numba-0.39.0 | py27h39f3610_0 2.4 MB defaults
mkl_fft-1.0.4 | py27h31cbb53_1 121 KB defaults
mkl-2018.0.3 | 1 178.1 MB defaults
conda-4.5.10 | py27_0 1.0 MB defaults
blas-1.0 | mkl 6 KB defaults
------------------------------------------------------------
Total: 194.7 MB
The following NEW packages will be INSTALLED:
blas: 1.0-mkl defaults
mkl_fft: 1.0.4-py27h31cbb53_1 defaults
numpy-base: 1.15.0-py27hfef472a_0 defaults
The following packages will be UPDATED:
conda: 4.4.11-py27_0 defaults --> 4.5.10-py27_0 defaults
llvmlite: 0.20.0-py27_0 defaults --> 0.24.0-py27hc56fc5f_0 defaults
mkl: 2018.0.0-h36b65af_4 defaults --> 2018.0.3-1 defaults
numba: 0.35.0-np113py27_10 defaults --> 0.39.0-py27h39f3610_0 defaults
numpy: 1.13.3-py27h9ac254c_0 defaults --> 1.15.0-py27h911edcf_0 defaults
Proceed ([y]/n)? y
Downloading and Extracting Packages
numpy 1.15.0: ################################################################################################# | 100%
numpy-base 1.15.0: ############################################################################################ | 100%
llvmlite 0.24.0: ############################################################################################## | 100%
numba 0.39.0: ################################################################################################# | 100%
mkl_fft 1.0.4: ################################################################################################ | 100%
mkl 2018.0.3: ################################################################################################# | 100%
conda 4.5.10: ################################################################################################# | 100%
blas 1.0: ##################################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done本文参与 腾讯云自媒体同步曝光计划，分享自作者个人站点/博客。
原始发表：2019/09/20 ，如有侵权请联系 cloudcommunity@tencent.com 删除
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