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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：
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 channelschannels: - '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
conda config --show
(base) C:\Users\aikera>conda config --showadd_anaconda_token: Trueadd_pip_as_python_dependency: Trueaggressive_update_packages: - ca-certificates - certifi - opensslallow_non_channel_urls: Falseallow_softlinks: Falsealways_copy: Falsealways_softlink: Falsealways_yes: Noneanaconda_upload: Noneauto_update_conda: Truechangeps1: Truechannel_alias: https://conda.anaconda.orgchannel_priority: Truechannels: - 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/' - 'https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/' - defaults - conda-forgeclient_ssl_cert: Noneclient_ssl_cert_key: Noneclobber: Falsecreate_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.comcustom_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/msys2disallowed_packages: []download_only: Falseenvs_dirs: - D:\ProgramData\Anaconda2\envs - C:\Users\aikera\AppData\Local\conda\conda\envs - C:\Users\aikera\.conda\envs
安装numpy试试：
(base) C:\Users\aikera>conda install numpySolving environment: /WARNING: The remote server could not find the noarch directory for therequested 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-checkyour conda configuration using `conda config --show`.If the requested url is in fact a valid conda channel, please request that thechannel 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 therequested 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-checkyour conda configuration using `conda config --show`.If the requested url is in fact a valid conda channel, please request that thechannel 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.jsondone## Package Plan ## environment location: D:\ProgramData\Anaconda2 added / updated specs: - numpyThe 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 MBThe 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 defaultsThe 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 defaultsProceed ([y]/n)? yDownloading and Extracting Packagesnumpy 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: doneVerifying transaction: doneExecuting transaction: done 转载于:https://blog.51cto.com/m51cto/2161697