anaconda3部署以及使用详解
Anaconda3-2019.10-Linux-x86_64.sh
某次执行Python程序，其中两个错误信息如下：
ImportError: libcblas.so.3: cannot open shared object file: No such file or directory
Original error was: libcblas.so.3: cannot open shared object file: No such file or directory
问题：部署anaconda3卡在Unpacking payload，不能解压
[root@mcw6 ~]$ bash Anaconda3-2019.10-Linux-x86_64.sh Anaconda3 will now be installed into this location: /home/machangwei/anaconda3 - Press ENTER to confirm the location - Press CTRL-C to abort the installation - Or specify a different location below [/home/machangwei/anaconda3] >>> PREFIX=/home/machangwei/anaconda3 Unpacking payload ... 0%| | 0/29
解决方案：之前虚拟机是1核，改成2核就可以了
[root@mcw6 ~]$ lscpu|grep CPU CPU op-mode(s): 32-bit, 64-bit CPU(s): 2
部署anaconda3
[root@mcw6 ~]$ bash Anaconda3-2019.10-Linux-x86_64.sh 根据提示操作即可：press ENTER 或 输入 yes Please answer 'yes' or 'no':' >>> yes Anaconda3 will now be installed into this location: /home/machangwei/anaconda3 - Press ENTER to confirm the location - Press CTRL-C to abort the installation - Or specify a different location below [/home/machangwei/anaconda3] >>> #这里直接按enter键，那anaconda3直接部署到命令执行的当前目录下。如果这里填写路径， PREFIX=/root/anaconda3 #那么直接部署到填写的路径下，假设写个yes，那么直接在当前目录下创建个 yes目录，里面安装上anaconda3 Unpacking payload ... 0%| | 0/291 [00:00<?, ?it/s]^CProcess ForkProcess-1: 成功安装anaconda3之后，添加环境变量 [root@mcw6 ~]$ vim /etc/profile [root@mcw6 ~]$ tail -2 /etc/profile export ANACONDA_HOME=/root/anaconda3 export PATH=$PATH:$ANACONDA_HOME/bin:$ANACONDA_HOME/sbin [root@mcw6 ~]$ source /etc/profile [root@mcw6 ~]$ conda update conda #没有联网，不能更新 root@mcw6 ~]$ conda create -n python37 python=3.7 --offline #可离线创建Python虚拟环境 Collecting package metadata (current_repodata.json): done Solving environment: done ## Package Plan ## environment location: /root/anaconda3/envs/python37 added / updated specs: - python=3.7 The following NEW packages will be INSTALLED: _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main ca-certificates pkgs/main/linux-64::ca-certificates-2019.8.28-0 libedit pkgs/main/linux-64::libedit-3.1.20181209-hc058e9b_0 libffi pkgs/main/linux-64::libffi-3.2.1-hd88cf55_4 libgcc-ng pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0 libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0 ncurses pkgs/main/linux-64::ncurses-6.1-he6710b0_1 openssl pkgs/main/linux-64::openssl-1.1.1d-h7b6447c_2 python pkgs/main/linux-64::python-3.7.4-h265db76_1 readline pkgs/main/linux-64::readline-7.0-h7b6447c_5 sqlite pkgs/main/linux-64::sqlite-3.30.0-h7b6447c_0 tk pkgs/main/linux-64::tk-8.6.8-hbc83047_0 xz pkgs/main/linux-64::xz-5.2.4-h14c3975_4 zlib pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3 Proceed ([y]/n)? y Preparing transaction: done Verifying transaction: done Executing transaction: done # # To activate this environment, use # # $ conda activate python37 # # To deactivate an active environment, use # # $ conda deactivate [root@mcw6 ~]$ conda install pip --offline Collecting package metadata (current_repodata.json): done Solving environment: done # All requested packages already installed. [root@mcw6 ~]$ activate python37 [root@mcw6 ~]$ conda env list # conda environments: # base * /root/anaconda3 python37 /root/anaconda3/envs/python37 [root@mcw6 ~]$ source activate (base) [root@mcw6 ~]$ conda activate python37 (python37) [root@mcw6 ~]$ (python37) [root@mcw6 ~]$ (python37) [root@mcw6 ~]$ conda deactivate (base) [root@mcw6 ~]$ conda deactivate [root@mcw6 ~]$ [root@mcw6 ~]$ ls anaconda3/lib|grep libblas [root@mcw6 ~]$ 未联网执行命令安装也是无法安装上 [root@mcw6 ~]$ conda install -c conda-forge prophet Collecting package metadata (current_repodata.json): failed CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://conda.anaconda.org/conda-forge/linux-64/current_repodata.json> Elapsed: - An HTTP error occurred when trying to retrieve this URL. HTTP errors are often intermittent, and a simple retry will get you on your way. ConnectionError(MaxRetryError("HTTPSConnectionPool(host='conda.anaconda.org', port=443): Max retries exceeded with url: /conda-forge/linux-64/current_repodata.json (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x7f0e7976ebd0>: Failed to establish a new connection: [Errno -2] Name or service not known'))")) [root@mcw6 ~]$ conda install gcc 5.0.0 把无外网环境，弄成有外网环境 [root@mcw6 ~]$ systemctl restart network [root@mcw6 ~]$ [root@mcw6 ~]$ [root@mcw6 ~]$ vim /etc/resolv.conf [root@mcw6 ~]$ ping www.baidu.com PING www.a.shifen.com (220.181.38.149) 56(84) bytes of data. 64 bytes from 220.181.38.149 (220.181.38.149): icmp_seq=2 ttl=128 time=4.22 ms ^C --- www.a.shifen.com ping statistics --- 2 packets transmitted, 1 received, 50% packet loss, time 1000ms rtt min/avg/max/mdev = 4.222/4.222/4.222/0.000 ms [root@mcw6 ~]$ 退出会话重新连接时，进入base环境 (base) [root@mcw6 ~]$ conda env list # conda environments: # base * /root/anaconda3 python37 /root/anaconda3/envs/python37 (base) [root@mcw6 ~]$
conda 安装
执行安装命令之后conda install -c conda-forge prophet 就下载安装了libblas-3.9.0 | 12 KB | #################### | 100% 必须联网才能更新和安装新的包。跟创建虚拟环境不同，虚拟环境需要的它本身自带了，应该是这样的。 base环境执行安装命令解析环境失败，还得进Python虚拟 环境才执行安装命令成功 (base) [root@mcw6 ~]$ conda install -c conda-forge prophet Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: \ failed with repodata from current_repodata.json, will retry with next repodata source. 刚刚看错位置了，应该看这里。执行命令安装成功之后。如下，虚拟环境中增加了库文件。 (base) [root@mcw6 ~]$ ls anaconda3/envs/python37/lib/|grep libblas libblas.so libblas.so.3
以下为执行conda install安装命令的全过程
(python37) [root@mcw6 ~]$ conda install -c conda-forge prophet Collecting package metadata (current_repodata.json): done Solving environment: done ==> WARNING: A newer version of conda exists. <== current version: 4.7.12 latest version: 4.11.0 Please update conda by running $ conda update -n base -c defaults conda ## Package Plan ## environment location: /root/anaconda3/envs/python37 added / updated specs: - prophet The following packages will be downloaded: package | build ---------------------------|----------------- _libgcc_mutex-0.1 | conda_forge 3 KB conda-forge _openmp_mutex-4.5 | 1_gnu 22 KB conda-forge arviz-0.11.4 | pyhd8ed1ab_0 1.4 MB conda-forge binutils_impl_linux-64-2.36.1| h193b22a_2 10.4 MB conda-forge binutils_linux-64-2.36 | hf3e587d_33 22 KB conda-forge bzip2-1.0.8 | h7f98852_4 484 KB conda-forge c-ares-1.18.1 | h7f98852_0 113 KB conda-forge ca-certificates-2021.10.8 | ha878542_0 139 KB conda-forge cftime-1.5.1.1 | py37hb1e94ed_1 229 KB conda-forge colorama-0.4.4 | pyh9f0ad1d_0 18 KB conda-forge convertdate-2.3.2 | pyhd8ed1ab_0 37 KB conda-forge curl-7.78.0 | h1ccaba5_0 94 KB cycler-0.11.0 | pyhd8ed1ab_0 10 KB conda-forge cython-0.29.26 | py37hcd2ae1e_0 2.2 MB conda-forge ephem-4.1.3 | py37h5e8e339_1 1.4 MB conda-forge freetype-2.10.4 | h0708190_1 890 KB conda-forge gcc_impl_linux-64-7.5.0 | habd7529_19 38.3 MB conda-forge gcc_linux-64-7.5.0 | h47867f9_33 23 KB conda-forge gxx_impl_linux-64-7.5.0 | hd0bb8aa_19 9.5 MB conda-forge gxx_linux-64-7.5.0 | h555fc39_33 23 KB conda-forge hdf4-4.2.15 | h10796ff_3 950 KB conda-forge hdf5-1.12.1 |nompi_h2750804_100 3.5 MB conda-forge hijri-converter-2.2.2 | pyhd8ed1ab_0 17 KB conda-forge holidays-0.12 | pyhd8ed1ab_0 82 KB conda-forge icu-67.1 | he1b5a44_0 12.9 MB conda-forge importlib-metadata-4.10.1 | py37h89c1867_0 32 KB conda-forge importlib_metadata-4.10.1 | hd8ed1ab_0 4 KB conda-forge jpeg-9d | h36c2ea0_0 264 KB conda-forge kernel-headers_linux-64-2.6.32| he073ed8_15 707 KB conda-forge kiwisolver-1.3.2 | py37h2527ec5_1 78 KB conda-forge korean_lunar_calendar-0.2.1| pyh9f0ad1d_0 10 KB conda-forge krb5-1.19.2 | hcc1bbae_3 1.4 MB conda-forge ld_impl_linux-64-2.36.1 | hea4e1c9_2 667 KB conda-forge libblas-3.9.0 |13_linux64_openblas 12 KB conda-forge libcblas-3.9.0 |13_linux64_openblas 12 KB conda-forge libcurl-7.78.0 | h0b77cf5_0 338 KB libedit-3.1.20191231 | h46ee950_2 121 KB conda-forge libev-4.33 | h516909a_1 104 KB conda-forge libgcc-devel_linux-64-7.5.0| hda03d7c_19 3.6 MB conda-forge libgcc-ng-11.2.0 | h1d223b6_11 887 KB conda-forge libgfortran-ng-11.2.0 | h69a702a_11 19 KB conda-forge libgfortran5-11.2.0 | h5c6108e_11 1.7 MB conda-forge libgomp-11.2.0 | h1d223b6_11 427 KB conda-forge liblapack-3.9.0 |13_linux64_openblas 12 KB conda-forge libnetcdf-4.8.1 |nompi_hb3fd0d9_101 1.5 MB conda-forge libnghttp2-1.43.0 | h812cca2_1 790 KB conda-forge libopenblas-0.3.18 |pthreads_h8fe5266_0 9.6 MB conda-forge libpng-1.6.37 | h21135ba_2 306 KB conda-forge libssh2-1.10.0 | ha56f1ee_2 233 KB conda-forge libstdcxx-devel_linux-64-7.5.0| hb016644_19 9.3 MB conda-forge libstdcxx-ng-11.2.0 | he4da1e4_11 4.2 MB conda-forge libzip-1.8.0 | h4de3113_1 126 KB conda-forge lunarcalendar-0.0.9 | py_0 20 KB conda-forge matplotlib-base-3.2.2 | py37h1d35a4c_1 7.0 MB conda-forge netcdf4-1.5.8 |nompi_py37hf784469_101 525 KB conda-forge numpy-1.21.5 | py37hf2998dd_0 6.1 MB conda-forge openssl-1.1.1l | h7f98852_0 2.1 MB conda-forge packaging-21.3 | pyhd8ed1ab_0 36 KB conda-forge pandas-1.3.5 | py37he8f5f7f_0 12.7 MB conda-forge prophet-1.0.1 | py37h085eea5_3 688 KB conda-forge pymeeus-0.5.10 | pyhd8ed1ab_0 534 KB conda-forge pyparsing-3.0.6 | pyhd8ed1ab_0 79 KB conda-forge pystan-2.19.1.1 | py37h9fdb41a_2 17.3 MB conda-forge python-dateutil-2.8.2 | pyhd8ed1ab_0 240 KB conda-forge python_abi-3.7 | 2_cp37m 4 KB conda-forge pytz-2021.3 | pyhd8ed1ab_0 242 KB conda-forge scipy-1.7.3 | py37hf2a6cf1_0 21.8 MB conda-forge setuptools-59.8.0 | py37h89c1867_0 1.0 MB conda-forge six-1.16.0 | pyh6c4a22f_0 14 KB conda-forge sysroot_linux-64-2.12 | he073ed8_15 31.4 MB conda-forge tk-8.6.11 | h27826a3_1 3.3 MB conda-forge tornado-6.1 | py37h5e8e339_2 642 KB conda-forge tqdm-4.62.3 | pyhd8ed1ab_0 80 KB conda-forge typing_extensions-3.10.0.2 | pyha770c72_0 28 KB conda-forge xarray-0.20.2 | pyhd8ed1ab_0 628 KB conda-forge zipp-3.7.0 | pyhd8ed1ab_0 12 KB conda-forge ------------------------------------------------------------ Total: 225.4 MB The following NEW packages will be INSTALLED: _openmp_mutex conda-forge/linux-64::_openmp_mutex-4.5-1_gnu arviz conda-forge/noarch::arviz-0.11.4-pyhd8ed1ab_0 binutils_impl_lin~ conda-forge/linux-64::binutils_impl_linux-64-2.36.1-h193b22a_2 binutils_linux-64 conda-forge/linux-64::binutils_linux-64-2.36-hf3e587d_33 bzip2 conda-forge/linux-64::bzip2-1.0.8-h7f98852_4 c-ares conda-forge/linux-64::c-ares-1.18.1-h7f98852_0 cftime conda-forge/linux-64::cftime-1.5.1.1-py37hb1e94ed_1 colorama conda-forge/noarch::colorama-0.4.4-pyh9f0ad1d_0 convertdate conda-forge/noarch::convertdate-2.3.2-pyhd8ed1ab_0 curl pkgs/main/linux-64::curl-7.78.0-h1ccaba5_0 cycler conda-forge/noarch::cycler-0.11.0-pyhd8ed1ab_0 cython conda-forge/linux-64::cython-0.29.26-py37hcd2ae1e_0 ephem conda-forge/linux-64::ephem-4.1.3-py37h5e8e339_1 freetype conda-forge/linux-64::freetype-2.10.4-h0708190_1 gcc_impl_linux-64 conda-forge/linux-64::gcc_impl_linux-64-7.5.0-habd7529_19 gcc_linux-64 conda-forge/linux-64::gcc_linux-64-7.5.0-h47867f9_33 gxx_impl_linux-64 conda-forge/linux-64::gxx_impl_linux-64-7.5.0-hd0bb8aa_19 gxx_linux-64 conda-forge/linux-64::gxx_linux-64-7.5.0-h555fc39_33 hdf4 conda-forge/linux-64::hdf4-4.2.15-h10796ff_3 hdf5 conda-forge/linux-64::hdf5-1.12.1-nompi_h2750804_100 hijri-converter conda-forge/noarch::hijri-converter-2.2.2-pyhd8ed1ab_0 holidays conda-forge/noarch::holidays-0.12-pyhd8ed1ab_0 icu conda-forge/linux-64::icu-67.1-he1b5a44_0 importlib-metadata conda-forge/linux-64::importlib-metadata-4.10.1-py37h89c1867_0 importlib_metadata conda-forge/noarch::importlib_metadata-4.10.1-hd8ed1ab_0 jpeg conda-forge/linux-64::jpeg-9d-h36c2ea0_0 kernel-headers_li~ conda-forge/noarch::kernel-headers_linux-64-2.6.32-he073ed8_15 kiwisolver conda-forge/linux-64::kiwisolver-1.3.2-py37h2527ec5_1 korean_lunar_cale~ conda-forge/noarch::korean_lunar_calendar-0.2.1-pyh9f0ad1d_0 krb5 conda-forge/linux-64::krb5-1.19.2-hcc1bbae_3 ld_impl_linux-64 conda-forge/linux-64::ld_impl_linux-64-2.36.1-hea4e1c9_2 libblas conda-forge/linux-64::libblas-3.9.0-13_linux64_openblas libcblas conda-forge/linux-64::libcblas-3.9.0-13_linux64_openblas libcurl pkgs/main/linux-64::libcurl-7.78.0-h0b77cf5_0 libev conda-forge/linux-64::libev-4.33-h516909a_1 libgcc-devel_linu~ conda-forge/linux-64::libgcc-devel_linux-64-7.5.0-hda03d7c_19 libgfortran-ng conda-forge/linux-64::libgfortran-ng-11.2.0-h69a702a_11 libgfortran5 conda-forge/linux-64::libgfortran5-11.2.0-h5c6108e_11 libgomp conda-forge/linux-64::libgomp-11.2.0-h1d223b6_11 liblapack conda-forge/linux-64::liblapack-3.9.0-13_linux64_openblas libnetcdf conda-forge/linux-64::libnetcdf-4.8.1-nompi_hb3fd0d9_101 libnghttp2 conda-forge/linux-64::libnghttp2-1.43.0-h812cca2_1 libopenblas conda-forge/linux-64::libopenblas-0.3.18-pthreads_h8fe5266_0 libpng conda-forge/linux-64::libpng-1.6.37-h21135ba_2 libssh2 conda-forge/linux-64::libssh2-1.10.0-ha56f1ee_2 libstdcxx-devel_l~ conda-forge/linux-64::libstdcxx-devel_linux-64-7.5.0-hb016644_19 libzip conda-forge/linux-64::libzip-1.8.0-h4de3113_1 lunarcalendar conda-forge/noarch::lunarcalendar-0.0.9-py_0 matplotlib-base conda-forge/linux-64::matplotlib-base-3.2.2-py37h1d35a4c_1 netcdf4 conda-forge/linux-64::netcdf4-1.5.8-nompi_py37hf784469_101 numpy conda-forge/linux-64::numpy-1.21.5-py37hf2998dd_0 packaging conda-forge/noarch::packaging-21.3-pyhd8ed1ab_0 pandas conda-forge/linux-64::pandas-1.3.5-py37he8f5f7f_0 prophet conda-forge/linux-64::prophet-1.0.1-py37h085eea5_3 pymeeus conda-forge/noarch::pymeeus-0.5.10-pyhd8ed1ab_0 pyparsing conda-forge/noarch::pyparsing-3.0.6-pyhd8ed1ab_0 pystan conda-forge/linux-64::pystan-2.19.1.1-py37h9fdb41a_2 python-dateutil conda-forge/noarch::python-dateutil-2.8.2-pyhd8ed1ab_0 python_abi conda-forge/linux-64::python_abi-3.7-2_cp37m pytz conda-forge/noarch::pytz-2021.3-pyhd8ed1ab_0 scipy conda-forge/linux-64::scipy-1.7.3-py37hf2a6cf1_0 setuptools conda-forge/linux-64::setuptools-59.8.0-py37h89c1867_0 six conda-forge/noarch::six-1.16.0-pyh6c4a22f_0 sysroot_linux-64 conda-forge/noarch::sysroot_linux-64-2.12-he073ed8_15 tornado conda-forge/linux-64::tornado-6.1-py37h5e8e339_2 tqdm conda-forge/noarch::tqdm-4.62.3-pyhd8ed1ab_0 typing_extensions conda-forge/noarch::typing_extensions-3.10.0.2-pyha770c72_0 xarray conda-forge/noarch::xarray-0.20.2-pyhd8ed1ab_0 zipp conda-forge/noarch::zipp-3.7.0-pyhd8ed1ab_0 The following packages will be UPDATED: ca-certificates pkgs/main::ca-certificates-2019.8.28-0 --> conda-forge::ca-certificates-2021.10.8-ha878542_0 libedit pkgs/main::libedit-3.1.20181209-hc058~ --> conda-forge::libedit-3.1.20191231-h46ee950_2 libgcc-ng pkgs/main::libgcc-ng-9.1.0-hdf63c60_0 --> conda-forge::libgcc-ng-11.2.0-h1d223b6_11 libstdcxx-ng pkgs/main::libstdcxx-ng-9.1.0-hdf63c6~ --> conda-forge::libstdcxx-ng-11.2.0-he4da1e4_11 openssl pkgs/main::openssl-1.1.1d-h7b6447c_2 --> conda-forge::openssl-1.1.1l-h7f98852_0 tk pkgs/main::tk-8.6.8-hbc83047_0 --> conda-forge::tk-8.6.11-h27826a3_1 The following packages will be SUPERSEDED by a higher-priority channel: _libgcc_mutex pkgs/main::_libgcc_mutex-0.1-main --> conda-forge::_libgcc_mutex-0.1-conda_forge Proceed ([y]/n)? yes Downloading and Extracting Packages hdf5-1.12.1 | 3.5 MB | ########## | 100% python-dateutil-2.8. | 240 KB | ########## | 100% c-ares-1.18.1 | 113 KB | ########## | 100% holidays-0.12 | 82 KB | ########## | 100% _libgcc_mutex-0.1 | 3 KB | ########## | 100% libgomp-11.2.0 | 427 KB | ########## | 100% libedit-3.1.20191231 | 121 KB | ########## | 100% prophet-1.0.1 | 688 KB | ########## | 100% kernel-headers_linux | 707 KB | ########## | 100% hijri-converter-2.2. | 17 KB | ########## | 100% korean_lunar_calenda | 10 KB | ########## | 100% libgfortran-ng-11.2. | 19 KB | ########## | 100% cython-0.29.26 | 2.2 MB | ########## | 100% importlib-metadata-4 | 32 KB | ########## | 100% sysroot_linux-64-2.1 | 31.4 MB | ########## | 100% gxx_linux-64-7.5.0 | 23 KB | ########## | 100% libblas-3.9.0 | 12 KB | ########## | 100% libnghttp2-1.43.0 | 790 KB | ########## | 100% pytz-2021.3 | 242 KB | ########## | 100% libcblas-3.9.0 | 12 KB | ########## | 100% freetype-2.10.4 | 890 KB | ########## | 100% typing_extensions-3. | 28 KB | ########## | 100% numpy-1.21.5 | 6.1 MB | ########## | 100% gcc_linux-64-7.5.0 | 23 KB | ########## | 100% pymeeus-0.5.10 | 534 KB | ########## | 100% gxx_impl_linux-64-7. | 9.5 MB | ########## | 100% hdf4-4.2.15 | 950 KB | ########## | 100% jpeg-9d | 264 KB | ########## | 100% python_abi-3.7 | 4 KB | ########## | 100% six-1.16.0 | 14 KB | ########## | 100% cycler-0.11.0 | 10 KB | ########## | 100% pyparsing-3.0.6 | 79 KB | ########## | 100% ephem-4.1.3 | 1.4 MB | ########## | 100% libpng-1.6.37 | 306 KB | ########## | 100% zipp-3.7.0 | 12 KB | ########## | 100% tornado-6.1 | 642 KB | ########## | 100% binutils_linux-64-2. | 22 KB | ########## | 100% convertdate-2.3.2 | 37 KB | ########## | 100% xarray-0.20.2 | 628 KB | ########## | 100% kiwisolver-1.3.2 | 78 KB | ########## | 100% setuptools-59.8.0 | 1.0 MB | ########## | 100% pystan-2.19.1.1 | 17.3 MB | ########## | 100% libstdcxx-ng-11.2.0 | 4.2 MB | ########## | 100% _openmp_mutex-4.5 | 22 KB | ########## | 100% tk-8.6.11 | 3.3 MB | ########## | 100% curl-7.78.0 | 94 KB | ########## | 100% libnetcdf-4.8.1 | 1.5 MB | ########## | 100% pandas-1.3.5 | 12.7 MB | ########## | 100% libssh2-1.10.0 | 233 KB | ########## | 100% libzip-1.8.0 | 126 KB | ########## | 100% scipy-1.7.3 | 21.8 MB | ########## | 100% colorama-0.4.4 | 18 KB | ########## | 100% cftime-1.5.1.1 | 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matplotlib-base-3.2. | 7.0 MB | ########## | 100% packaging-21.3 | 36 KB | ########## | 100% Preparing transaction: done Verifying transaction: done Executing transaction: done (python37) [root@mcw6 ~]$
conda list 查看，不同的环境，包存在差异
(base) [root@mcw6 ~]$ conda list|grep libblas (base) [root@mcw6 ~]$ conda activate python37 (python37) [root@mcw6 ~]$ conda list|grep libblas libblas 3.9.0 13_linux64_openblas conda-forge (python37) [root@mcw6 ~]$
查看之前执行Python程序报错没有libcblas.so.3，已经通过上面的安装命令而安装进了Python虚拟环境中
(python37) [root@mcw6 ~]$ conda list|grep libcb libcblas 3.9.0 13_linux64_openblas conda-forge (python37) [root@mcw6 ~]$ ls anaconda3/envs/python37/lib/|grep libcb libcblas.so libcblas.so.3 (python37) [root@mcw6 ~]$
总结：
1、以后研究：conda 只下载不安装，然后将包上传到离线环境conda install安装，是否支持，以后研究
2、以后验证：anaconda3 直接复制目录到其它目录或主机，添加环境变量后是否能直接使用。如果有虚拟环境，只需替换Python虚拟环境中的site-package目录。
3、conda install ，它好像是进入Python虚拟环境中执行，base中没执行成功。这样它安装了很多文件，它都安装在anaconda3目录下，应该是安装到Python虚拟环境中。可能不是安装到site-package目录下，安装模块。可能安装到Python虚拟环境的lib目录下。比如libblas.so，libblas.so.3，感觉像是系统库文件似的。
4、生产环境anaconda3缺少7个文件，都是在lib下缺少的，.so .so.3这种的。通过执行程序，查看跟生产环境一致的anaconda3的Python虚拟环境中缺少那个文件，就从正常的环境中将文件复制过去。缺谁补谁，最终成功解决问题。
5、还有很多conda命令使用，以后有时间补充
