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 | 229 KB | ########## | 100%
icu-67.1 | 12.9 MB | ########## | 100%
bzip2-1.0.8 | 484 KB | ########## | 100%
libgcc-devel_linux-6 | 3.6 MB | ########## | 100%
libcurl-7.78.0 | 338 KB | ########## | 100%
libstdcxx-devel_linu | 9.3 MB | ########## | 100%
ld_impl_linux-64-2.3 | 667 KB | ########## | 100%
libgcc-ng-11.2.0 | 887 KB | ########## | 100%
libopenblas-0.3.18 | 9.6 MB | ########## | 100%
importlib_metadata-4 | 4 KB | ########## | 100%
gcc_impl_linux-64-7. | 38.3 MB | ########## | 100%
lunarcalendar-0.0.9 | 20 KB | ########## | 100%
libev-4.33 | 104 KB | ########## | 100%
arviz-0.11.4 | 1.4 MB | ########## | 100%
ca-certificates-2021 | 139 KB | ########## | 100%
binutils_impl_linux- | 10.4 MB | ########## | 100%
krb5-1.19.2 | 1.4 MB | ########## | 100%
liblapack-3.9.0 | 12 KB | ########## | 100%
tqdm-4.62.3 | 80 KB | ########## | 100%
libgfortran5-11.2.0 | 1.7 MB | ########## | 100%
netcdf4-1.5.8 | 525 KB | ########## | 100%
openssl-1.1.1l | 2.1 MB | ########## | 100%
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
anaconda3部署以及使用详解的更多相关文章
- Haproxy均衡负载部署和配置文件详解
HAproxy均衡负载部署和配置文件详解 HAProxy提供高可用性.负载均衡以及基于TCP和HTTP应用的代理,支持虚拟主机,它是免费.快速并且可靠的一种解决方案.根据官方数据,其最高极限支持10G ...
- web缓存服务器varnish-4.1.6的部署及配置详解
web缓存服务器varnish-4.1.6的部署及配置详解 1.安装varnish4.1.6安装依赖 yum install -y autoconf automake jemalloc-devel l ...
- 人工智能之深度学习-初始环境搭建（安装Anaconda3和TensorFlow2步骤详解）
前言: 本篇文章主要讲解的是在学习人工智能之深度学习时所学到的知识和需要的环境配置(安装Anaconda3和TensorFlow2步骤详解),以及个人的心得体会,汇集成本篇文章,作为自己深度学习的总结 ...
- SCCM 2007 R2部署、操作详解系列之概念
站点类型 在安装站点时,您决定它将是主站点还是辅助站点.然后,在安装其他站点时,您可以选择将其安排到层次结构关系中,以便父站点管理子站点,中央站点收集所有站点信息,从而进行集中式管理.也可以根据业务和 ...
- 在CentOS7上部署OpenStack 步骤详解
OpenStack作为一个由NASA(美国国家航空航天局)和Rackspace合作研发并发起的,开放源代码项目的云计算管理平台项目.具体知识我会在后面文章中做出介绍,本章主要按步骤给大家演示在Cent ...
- Keepalived部署与配置详解
Keepalive详解 工作原理 Keepalived本质就是为ipvs服务的,它也不需要共享存储.IPVS其实就是一些规则,Keepalived主要的任务就是去调用ipvsadm命令,来生成规则,并 ...
- Linux 下Redis集群安装部署及使用详解(在线和离线两种安装+相关错误解决方案)
一.应用场景介绍 本文主要是介绍Redis集群在Linux环境下的安装讲解,其中主要包括在联网的Linux环境和脱机的Linux环境下是如何安装的.因为大多数时候,公司的生产环境是在内网环境下,无外网 ...
- Rsync 服务部署与参数详解
Rsync 简介 rsync 是一款开源的.快速的.多功能的.可实现全量及增量的本地或远程数据同步备份的优秀工具.Rsync软件适用于unix/linux/windows等多种操作系统平台. 传统的 ...
- Flume环境部署和配置详解及案例大全
flume是一个分布式.可靠.和高可用的海量日志采集.聚合和传输的系统.支持在日志系统中定制各类数据发送方,用于收集数据;同时,Flume提供对数据进行简单处理,并写到各种数据接受方(比如文本.HDF ...
- 使用阿里云主机离线部署CDH步骤详解
一.Linux文件系统准备 1. 拍摄快照 登录阿里云控制台,拍摄快照,注意有几个关键点尽量拍摄快照,系统初始状态.CM环境准备完成.CM安装完成.CDH安装完成. 2. 挂载设备 三个主机都执行. ...
随机推荐
- C#.Net WinForm学习笔记
.Net WinForm学习笔记 1,MDI窗体设有两个窗体frmMain,frmChild,则:frmMain: 设IsMdiContainer属性为true 打开子窗口: 在相关事件中写如下代 ...
- 手写前端 serialize
前言 在jquery中,写下我们很方便序列化我们的表单,比如说: window.onload=function(){ var form=$('#bitgood'); // document.getEl ...
- c# ManualResetEventSlim
前言 后续会把异步编程的ManualResetEventSlim 深入写完,先简单介绍一下吧. ManualResetEventSlim 有set 方法和 reset .wait.dispose方法. ...
- CentOS7.9 systemctl
目录 命令格式 语法 加载配置文件 关机和开机 unit 文件存放位置 unit 格式说明 service unit file 文件构成部分 unit 段的常用选项 service 段的常用选项 in ...
- Spring 源码阅读（二）IoC 容器初始化以及 BeanFactory 创建和 BeanDefinition 加载过程
相关代码提交记录:https://github.com/linweiwang/spring-framework-5.3.33 IoC 容器三种启动方式 XML JavaSE: ApplicationC ...
- 力扣54(java)-螺旋矩阵（中等）
题目: 给你一个 m 行 n 列的矩阵 matrix ,请按照 顺时针螺旋顺序 ,返回矩阵中的所有元素. 示例 1: 提示: m == matrix.lengthn == matrix[i].leng ...
- dotnet 读 WPF 源代码笔记 聊聊 HwndWrapper.GetGCMemMessage 调试消息
我在阅读 WPF 源代码,在 HwndWrapper 的静态构造函数看到了申请了 HwndWrapper.GetGCMemMessage 这个 Windows 消息,好奇这个消息是什么功能的.通过阅读 ...
- 6个实例带你解读TinyVue 组件库跨框架技术
本文分享自华为云社区<6个实例带你解读TinyVue 组件库跨框架技术>,作者: 华为云社区精选. 在DTSE Tech Talk <手把手教你实现mini版TinyVue组件库&g ...
- CF633H (线段树维护矩乘 + 莫队)
Fibonacci-ish II 题意:给定一个长度最大为 \(30000\) 的序列,和最多 \(30000\) 个询问,每个询问问某区间 \([L,R]\) 里的数,去掉重复然后排序之后,依次乘上 ...
- SAP集成技术（十二）SAP PO
集成工作的一个重要部分是基于流程的集成,而在SAP环境中实现接口需求的众所周知的产品是SAP Process Orchestration(以下简称SAP PO). 现代集成架构通常使用中央系统来控制和 ...