前言

在使用anaconda python環境過程中你會發現使用conda下載包的速度非常的慢，因為使用的是國外的服務器，所以這里要設置為國內的鏡像。使用下面的配置命令即可：

添加Anaconda的TUNA鏡像

conda config --add channels 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/' //TUNA的help中鏡像地址加有引號，需要去掉#

conda config --add channels 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/'

conda config --setshow_channel_urls yes //設置搜索時顯示通道地址

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

還有簡單粗暴地方法：直接修改conda的配置，一般在當前用戶路徑下，比如C:\Users\Administrator.condarc

.condarc具體內容如下：

channels:

- 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/'

- 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/'

- defaults

- conda-forge

驗證

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

測試：

安裝numpy試試：

(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

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