conda常用命令介绍
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conda常用命令介绍
基本命令和常见命令
Tip: 一般情况，–后面接长单词的参数等同于，-接单个字母的参数，我们可以将前面带有两个短线（–）的常用命令进行缩写（并不是所有的都可以缩写），方法是取一个短线和选项的首字母。例如 --name 可以缩写成 -n，–envs 可以缩写成 -e。
（1）查看conda版本信息
conda --version
conda -V
例如：
用户名@主机名:~# conda -V
conda 22.9.0
（2）查看帮助信息
conda --help
conda -h
例如：
conda -h
输出如下：
用户名@主机名:~# conda -h
usage: conda [-h] [-V] command ...
conda is a tool for managing and deploying applications, environments and packages.
Options:
positional arguments:
command
clean Remove unused packages and caches.
compare Compare packages between conda environments.
config Modify configuration values in .condarc. This is modeled after the git config command. Writes to the user .condarc file (/root/.condarc) by default. Use the --show-
sources flag to display all identified configuration locations on your computer.
create Create a new conda environment from a list of specified packages.
info Display information about current conda install.
init Initialize conda for shell interaction.
install Installs a list of packages into a specified conda environment.
list List installed packages in a conda environment.
package Low-level conda package utility. (EXPERIMENTAL)
remove Remove a list of packages from a specified conda environment.
rename Renames an existing environment.
run Run an executable in a conda environment.
search Search for packages and display associated information.The input is a MatchSpec, a query language for conda packages. See examples below.
uninstall Alias for conda remove.
update Updates conda packages to the latest compatible version.
upgrade Alias for conda update.
notices Retrieves latest channel notifications.
optional arguments:
-h, --help Show this help message and exit.
-V, --version Show the conda version number and exit.
conda commands available from other packages:
build
content-trust
convert
debug
develop
env
index
inspect
metapackage
pack
render
repo
server
skeleton
token
verify
（3）查看conda环境和环境基本信息
conda info #查看基本信息，例如：
conda info
输出如下：
用户名@主机名:/# conda info
active environment : None
shell level : 0
user config file : /root/.condarc
populated config files :
conda version : 22.9.0
conda-build version : 3.22.0
python version : 3.9.13.final.0
virtual packages : __linux=5.4.0=0
__glibc=2.27=0
__unix=0=0
__archspec=1=x86_64
base environment : /root/anaconda3 (writable)
conda av data dir : /root/anaconda3/etc/conda
conda av metadata url : None
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
package cache : /root/anaconda3/pkgs
/root/.conda/pkgs
envs directories : /root/anaconda3/envs
/root/.conda/envs
platform : linux-64
user-agent : conda/22.9.0 requests/2.28.1 CPython/3.9.13 Linux/5.4.0-125-generic ubuntu/18.04.6 glibc/2.27
UID:GID : 0:0
netrc file : None
offline mode : False
conda info -e/--envs #查看conda安装的环境信息，例如：
用户名@主机名:/# conda info --envs
# conda environments:
#
base /root/anaconda3
（4）激活环境
conda activate [环境名称]
例如：
用户名@主机名:~# conda activate base
(base) 用户名@主机名:~#
（5）退出环境
conda deactivate
例如：
(base) 用户名@主机名:~# conda deactivate
用户名@主机名:~#
（6）安装python包
conda install [PackageName]
例如：
(base) 用户名@主机名:~# conda install numpy
Collecting package metadata (current_repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /root/anaconda3
added / updated specs:
- numpy
The following packages will be downloaded:
package | build
---------------------------|-----------------
conda-22.11.0 | py39h06a4308_1 927 KB
ruamel.yaml-0.16.12 | py39h5eee18b_3 172 KB
ruamel.yaml.clib-0.2.6 | py39h5eee18b_1 140 KB
------------------------------------------------------------
Total: 1.2 MB
The following NEW packages will be INSTALLED:
ruamel.yaml pkgs/main/linux-64::ruamel.yaml-0.16.12-py39h5eee18b_3 None
ruamel.yaml.clib pkgs/main/linux-64::ruamel.yaml.clib-0.2.6-py39h5eee18b_1 None
The following packages will be UPDATED:
conda 22.9.0-py39h06a4308_0 --> 22.11.0-py39h06a4308_1 None
Proceed ([y]/n)? y
Downloading and Extracting Packages
ruamel.yaml-0.16.12 | 172 KB | ############################################################################################################################################### | 100%
ruamel.yaml.clib-0.2 | 140 KB | ############################################################################################################################################### | 100%
conda-22.11.0 | 927 KB | ############################################################################################################################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Retrieving notices: ...working... done
也可以给特定环境安装特定包
conda install --name [环境名称] [PackageName]
例如:
(base) 用户名@主机名:~# conda install --name base pandas
Collecting package metadata (current_repodata.json): done
Solving environment: done
# All requested packages already installed.
（7）删除python包
conda remove -n 环境名称] [PackageName]
例如：
(base) 用户名@主机名:~# conda remove -n base pandas
Collecting package metadata (repodata.json): done
Solving environment: done
## Package Plan ##
environment location: /root/anaconda3
removed specs:
- pandas
The following packages will be downloaded:
package | build
---------------------------|-----------------
asttokens-2.0.5 | pyhd3eb1b0_0 20 KB
attrs-22.1.0 | py39h06a4308_0 85 KB
ca-certificates-2022.10.11 | h06a4308_0 124 KB
certifi-2022.9.24 | py39h06a4308_0 154 KB
conda-package-handling-1.9.0| py39h5eee18b_1 946 KB
conda-repo-cli-1.0.24 | py39h06a4308_0 115 KB
cryptography-38.0.1 | py39h9ce1e76_0 1.3 MB
executing-0.8.3 | pyhd3eb1b0_0 18 KB
flit-core-3.6.0 | pyhd3eb1b0_0 42 KB
fontconfig-2.14.1 | hef1e5e3_0 284 KB
freetype-2.12.1 | h4a9f257_0 626 KB
idna-3.4 | py39h06a4308_0 93 KB
ipython-8.6.0 | py39h06a4308_0 1.0 MB
jupyter_client-7.4.7 | py39h06a4308_0 209 KB
jupyter_core-4.11.2 | py39h06a4308_0 80 KB
jupyterlab-3.5.0 | py39h06a4308_0 4.2 MB
libtiff-4.4.0 | hecacb30_2 526 KB
libwebp-1.2.4 | h11a3e52_0 79 KB
libwebp-base-1.2.4 | h5eee18b_0 347 KB
nbclassic-0.4.8 | py39h06a4308_0 5.8 MB
notebook-6.5.2 | py39h06a4308_0 511 KB
notebook-shim-0.2.2 | py39h06a4308_0 22 KB
openssl-1.1.1s | h7f8727e_0 3.6 MB
patchelf-0.15.0 | h6a678d5_0 97 KB
pkginfo-1.8.3 | py39h06a4308_0 45 KB
pure_eval-0.2.2 | pyhd3eb1b0_0 14 KB
pycosat-0.6.4 | py39h5eee18b_0 84 KB
readline-8.2 | h5eee18b_0 357 KB
setuptools-65.5.0 | py39h06a4308_0 1.1 MB
soupsieve-2.3.2.post1 | py39h06a4308_0 65 KB
sqlite-3.40.0 | h5082296_0 1.2 MB
stack_data-0.2.0 | pyhd3eb1b0_0 22 KB
toolz-0.12.0 | py39h06a4308_0 105 KB
tornado-6.2 | py39h5eee18b_0 590 KB
typing-extensions-4.4.0 | py39h06a4308_0 8 KB
typing_extensions-4.4.0 | py39h06a4308_0 46 KB
tzdata-2022f | h04d1e81_0 115 KB
urllib3-1.26.12 | py39h06a4308_0 181 KB
xz-5.2.8 | h5eee18b_0 429 KB
zlib-1.2.13 | h5eee18b_0 103 KB
------------------------------------------------------------
Total: 24.6 MB
The following NEW packages will be INSTALLED:
asttokens pkgs/main/noarch::asttokens-2.0.5-pyhd3eb1b0_0
executing pkgs/main/noarch::executing-0.8.3-pyhd3eb1b0_0
flit-core pkgs/main/noarch::flit-core-3.6.0-pyhd3eb1b0_0
notebook-shim pkgs/main/linux-64::notebook-shim-0.2.2-py39h06a4308_0
pure_eval pkgs/main/noarch::pure_eval-0.2.2-pyhd3eb1b0_0
stack_data pkgs/main/noarch::stack_data-0.2.0-pyhd3eb1b0_0
The following packages will be REMOVED:
alabaster-0.7.12-pyhd3eb1b0_0
anaconda-2022.10-py39_0
anaconda-project-0.11.1-py39h06a4308_0
appdirs-1.4.4-pyhd3eb1b0_0
arrow-1.2.2-pyhd3eb1b0_0
astroid-2.11.7-py39h06a4308_0
astropy-5.1-py39h7deecbd_0
atomicwrites-1.4.0-py_0
automat-20.2.0-py_0
autopep8-1.6.0-pyhd3eb1b0_1
bcrypt-3.2.0-py39h5eee18b_1
binaryornot-0.4.4-pyhd3eb1b0_1
bitarray-2.5.1-py39h5eee18b_0
bkcharts-0.2-py39h06a4308_1
black-22.6.0-py39h06a4308_0
blosc-1.21.0-h4ff587b_1
bokeh-2.4.3-py39h06a4308_0
boto3-1.24.28-py39h06a4308_0
botocore-1.27.28-py39h06a4308_0
bottleneck-1.3.5-py39h7deecbd_0
brotli-1.0.9-h5eee18b_7
brotli-bin-1.0.9-h5eee18b_7
brunsli-0.1-h2531618_0
c-ares-1.18.1-h7f8727e_0
cfitsio-3.470-h5893167_7
charls-2.2.0-h2531618_0
cloudpickle-2.0.0-pyhd3eb1b0_0
colorama-0.4.5-py39h06a4308_0
colorcet-3.0.0-py39h06a4308_0
conda-pack-0.6.0-pyhd3eb1b0_0
constantly-15.1.0-pyh2b92418_0
cookiecutter-1.7.3-pyhd3eb1b0_0
cssselect-1.1.0-pyhd3eb1b0_0
curl-7.84.0-h5eee18b_0
cycler-0.11.0-pyhd3eb1b0_0
cython-0.29.32-py39h6a678d5_0
cytoolz-0.11.0-py39h27cfd23_0
daal4py-2021.6.0-py39h79cecc1_1
dal-2021.6.0-hdb19cb5_916
dask-2022.7.0-py39h06a4308_0
dask-core-2022.7.0-py39h06a4308_0
dataclasses-0.8-pyh6d0b6a4_7
datashader-0.14.1-py39h06a4308_0
datashape-0.5.4-py39h06a4308_1
diff-match-patch-20200713-pyhd3eb1b0_0
dill-0.3.4-pyhd3eb1b0_0
distributed-2022.7.0-py39h06a4308_0
docutils-0.18.1-py39h06a4308_3
et_xmlfile-1.1.0-py39h06a4308_0
fftw-3.3.9-h27cfd23_1
flake8-4.0.1-pyhd3eb1b0_1
flask-1.1.2-pyhd3eb1b0_0
fonttools-4.25.0-pyhd3eb1b0_0
fsspec-2022.7.1-py39h06a4308_0
gensim-4.1.2-py39h295c915_0
gmp-6.2.1-h295c915_3
gmpy2-2.1.2-py39heeb90bb_0
greenlet-1.1.1-py39h295c915_0
h5py-3.7.0-py39h737f45e_0
hdf5-1.10.6-h3ffc7dd_1
heapdict-1.0.1-pyhd3eb1b0_0
holoviews-1.15.0-py39h06a4308_0
hvplot-0.8.0-py39h06a4308_0
hyperlink-21.0.0-pyhd3eb1b0_0
imagecodecs-2021.8.26-py39hf0132c2_1
imageio-2.19.3-py39h06a4308_0
imagesize-1.4.1-py39h06a4308_0
importlib-metadata-4.11.3-py39h06a4308_0
importlib_metadata-4.11.3-hd3eb1b0_0
incremental-21.3.0-pyhd3eb1b0_0
inflection-0.5.1-py39h06a4308_0
iniconfig-1.1.1-pyhd3eb1b0_0
intake-0.6.5-pyhd3eb1b0_0
intervaltree-3.1.0-pyhd3eb1b0_0
isort-5.9.3-pyhd3eb1b0_0
itemadapter-0.3.0-pyhd3eb1b0_0
itemloaders-1.0.4-pyhd3eb1b0_1
itsdangerous-2.0.1-pyhd3eb1b0_0
jdcal-1.4.1-pyhd3eb1b0_0
jeepney-0.7.1-pyhd3eb1b0_0
jellyfish-0.9.0-py39h7f8727e_0
jinja2-time-0.2.0-pyhd3eb1b0_3
jmespath-0.10.0-pyhd3eb1b0_0
joblib-1.1.0-pyhd3eb1b0_0
jq-1.6-h27cfd23_1000
jupyter-1.0.0-py39h06a4308_8
jupyter_console-6.4.3-pyhd3eb1b0_0
jxrlib-1.1-h7b6447c_2
keyring-23.4.0-py39h06a4308_0
kiwisolver-1.4.2-py39h295c915_0
lazy-object-proxy-1.6.0-py39h27cfd23_0
libaec-1.0.4-he6710b0_1
libbrotlicommon-1.0.9-h5eee18b_7
libbrotlidec-1.0.9-h5eee18b_7
libbrotlienc-1.0.9-h5eee18b_7
libcurl-7.84.0-h91b91d3_0
libev-4.33-h7f8727e_1
libgfortran-ng-11.2.0-h00389a5_1
libgfortran5-11.2.0-h1234567_1
libidn2-2.3.2-h7f8727e_0
libllvm11-11.1.0-h9e868ea_5
libnghttp2-1.46.0-hce63b2e_0
libspatialindex-1.9.3-h2531618_0
libssh2-1.10.0-h8f2d780_0
libunistring-0.9.10-h27cfd23_0
libuuid-1.0.3-h7f8727e_2
libzopfli-1.0.3-he6710b0_0
llvmlite-0.38.0-py39h4ff587b_0
locket-1.0.0-py39h06a4308_0
lxml-4.9.1-py39h1edc446_0
lz4-3.1.3-py39h27cfd23_0
lzo-2.10-h7b6447c_2
markdown-3.3.4-py39h06a4308_0
matplotlib-3.5.2-py39h06a4308_0
matplotlib-base-3.5.2-py39hf590b9c_0
mccabe-0.7.0-pyhd3eb1b0_0
mock-4.0.3-pyhd3eb1b0_0
mpc-1.1.0-h10f8cd9_1
mpfr-4.0.2-hb69a4c5_1
mpi-1.0-mpich
mpich-3.3.2-external_0
mpmath-1.2.1-py39h06a4308_0
msgpack-python-1.0.3-py39hd09550d_0
multipledispatch-0.6.0-py39h06a4308_0
munkres-1.1.4-py_0
mypy_extensions-0.4.3-py39h06a4308_1
networkx-2.8.4-py39h06a4308_0
nltk-3.7-pyhd3eb1b0_0
nose-1.3.7-pyhd3eb1b0_1008
numba-0.55.1-py39h51133e4_0
numexpr-2.8.3-py39h807cd23_0
numpydoc-1.4.0-py39h06a4308_0
olefile-0.46-pyhd3eb1b0_0
oniguruma-6.9.7.1-h27cfd23_0
openjpeg-2.4.0-h3ad879b_0
openpyxl-3.0.10-py39h5eee18b_0
pandas-1.4.4-py39h6a678d5_0
panel-0.13.1-py39h06a4308_0
param-1.12.0-pyhd3eb1b0_0
parsel-1.6.0-py39h06a4308_0
partd-1.2.0-pyhd3eb1b0_1
pathspec-0.9.0-py39h06a4308_0
patsy-0.5.2-py39h06a4308_1
pep8-1.7.1-py39h06a4308_1
platformdirs-2.5.2-py39h06a4308_0
plotly-5.9.0-py39h06a4308_0
poyo-0.5.0-pyhd3eb1b0_0
prompt_toolkit-3.0.20-hd3eb1b0_0
protego-0.1.16-py_0
py-1.11.0-pyhd3eb1b0_0
pyasn1-0.4.8-pyhd3eb1b0_0
pyasn1-modules-0.2.8-py_0
pycodestyle-2.8.0-pyhd3eb1b0_0
pyct-0.4.8-py39h06a4308_1
pycurl-7.45.1-py39h8f2d780_0
pydispatcher-2.0.5-py39h06a4308_2
pydocstyle-6.1.1-pyhd3eb1b0_0
pyerfa-2.0.0-py39h27cfd23_0
pyflakes-2.4.0-pyhd3eb1b0_0
pyhamcrest-2.0.2-pyhd3eb1b0_2
pylint-2.14.5-py39h06a4308_0
pyls-spyder-0.4.0-pyhd3eb1b0_0
pyodbc-4.0.34-py39h6a678d5_0
pyqtwebengine-5.15.7-py39h6a678d5_1
pytables-3.6.1-py39h77479fe_1
pytest-7.1.2-py39h06a4308_0
python-lsp-black-1.2.1-py39h06a4308_0
python-lsp-jsonrpc-1.0.0-pyhd3eb1b0_0
python-lsp-server-1.5.0-py39h06a4308_0
python-slugify-5.0.2-pyhd3eb1b0_0
python-snappy-0.6.0-py39h2531618_3
pyviz_comms-2.0.2-pyhd3eb1b0_0
pywavelets-1.3.0-py39h7f8727e_0
pyxdg-0.27-pyhd3eb1b0_0
qdarkstyle-3.0.2-pyhd3eb1b0_0
qstylizer-0.1.10-pyhd3eb1b0_0
qt-5.15.9-h06a4308_0
qtawesome-1.0.3-pyhd3eb1b0_0
qtconsole-5.3.2-py39h06a4308_0
queuelib-1.5.0-py39h06a4308_0
regex-2022.7.9-py39h5eee18b_0
requests-file-1.5.1-pyhd3eb1b0_0
rope-0.22.0-pyhd3eb1b0_0
rtree-0.9.7-py39h06a4308_1
ruamel_yaml-0.15.100-py39h27cfd23_0
s3transfer-0.6.0-py39h06a4308_0
scikit-image-0.19.2-py39h51133e4_0
scikit-learn-1.0.2-py39h51133e4_1
scikit-learn-intelex-2021.6.0-py39h06a4308_0
scipy-1.9.1-py39h14f4228_0
scrapy-2.6.2-py39h06a4308_0
seaborn-0.11.2-pyhd3eb1b0_0
secretstorage-3.3.1-py39h06a4308_0
service_identity-18.1.0-pyhd3eb1b0_1
smart_open-5.2.1-py39h06a4308_0
snappy-1.1.9-h295c915_0
snowballstemmer-2.2.0-pyhd3eb1b0_0
sortedcollections-2.1.0-pyhd3eb1b0_0
sortedcontainers-2.4.0-pyhd3eb1b0_0
sphinx-5.0.2-py39h06a4308_0
sphinxcontrib-applehelp-1.0.2-pyhd3eb1b0_0
sphinxcontrib-devhelp-1.0.2-pyhd3eb1b0_0
sphinxcontrib-htmlhelp-2.0.0-pyhd3eb1b0_0
sphinxcontrib-jsmath-1.0.1-pyhd3eb1b0_0
sphinxcontrib-qthelp-1.0.3-pyhd3eb1b0_0
sphinxcontrib-serializinghtml-1.1.5-pyhd3eb1b0_0
spyder-5.3.3-py39h06a4308_0
spyder-kernels-2.3.3-py39h06a4308_0
sqlalchemy-1.4.39-py39h5eee18b_0
statsmodels-0.13.2-py39h7f8727e_0
sympy-1.10.1-py39h06a4308_0
tabulate-0.8.10-py39h06a4308_0
tbb-2021.6.0-hdb19cb5_0
tbb4py-2021.6.0-py39hdb19cb5_0
tblib-1.7.0-pyhd3eb1b0_0
tenacity-8.0.1-py39h06a4308_1
text-unidecode-1.3-pyhd3eb1b0_0
textdistance-4.2.1-pyhd3eb1b0_0
threadpoolctl-2.2.0-pyh0d69192_0
three-merge-0.1.1-pyhd3eb1b0_0
tifffile-2021.7.2-pyhd3eb1b0_2
tinycss-0.4-pyhd3eb1b0_1002
tldextract-3.2.0-pyhd3eb1b0_0
tomlkit-0.11.1-py39h06a4308_0
twisted-22.2.0-py39h5eee18b_1
unidecode-1.2.0-pyhd3eb1b0_0
unixodbc-2.3.11-h5eee18b_0
w3lib-1.21.0-pyhd3eb1b0_0
watchdog-2.1.6-py39h06a4308_0
werkzeug-2.0.3-pyhd3eb1b0_0
wget-1.21.3-h0b77cf5_0
whatthepatch-1.0.2-py39h06a4308_0
wrapt-1.14.1-py39h5eee18b_0
wurlitzer-3.0.2-py39h06a4308_0
xarray-0.20.1-pyhd3eb1b0_1
xlrd-2.0.1-pyhd3eb1b0_0
xlsxwriter-3.0.3-pyhd3eb1b0_0
yapf-0.31.0-pyhd3eb1b0_0
zfp-0.5.5-h295c915_6
zict-2.1.0-py39h06a4308_0
zipp-3.8.0-py39h06a4308_0
zope-1.0-py39h06a4308_1
zope.interface-5.4.0-py39h7f8727e_0
The following packages will be UPDATED:
attrs pkgs/main/noarch::attrs-21.4.0-pyhd3e~ --> pkgs/main/linux-64::attrs-22.1.0-py39h06a4308_0
ca-certificates 2022.07.19-h06a4308_0 --> 2022.10.11-h06a4308_0
certifi 2022.9.14-py39h06a4308_0 --> 2022.9.24-py39h06a4308_0
conda-package-han~ 1.9.0-py39h5eee18b_0 --> 1.9.0-py39h5eee18b_1
conda-repo-cli 1.0.20-py39h06a4308_0 --> 1.0.24-py39h06a4308_0
cryptography 37.0.1-py39h9ce1e76_0 --> 38.0.1-py39h9ce1e76_0
fontconfig 2.13.1-h6c09931_0 --> 2.14.1-hef1e5e3_0
freetype 2.11.0-h70c0345_0 --> 2.12.1-h4a9f257_0
idna pkgs/main/noarch::idna-3.3-pyhd3eb1b0~ --> pkgs/main/linux-64::idna-3.4-py39h06a4308_0
ipython 7.31.1-py39h06a4308_1 --> 8.6.0-py39h06a4308_0
jupyter_client 7.3.4-py39h06a4308_0 --> 7.4.7-py39h06a4308_0
jupyter_core 4.11.1-py39h06a4308_0 --> 4.11.2-py39h06a4308_0
jupyterlab 3.4.4-py39h06a4308_0 --> 3.5.0-py39h06a4308_0
libtiff 4.4.0-hecacb30_0 --> 4.4.0-hecacb30_2
libwebp 1.2.2-h55f646e_0 --> 1.2.4-h11a3e52_0
libwebp-base 1.2.2-h7f8727e_0 --> 1.2.4-h5eee18b_0
nbclassic pkgs/main/noarch::nbclassic-0.3.5-pyh~ --> pkgs/main/linux-64::nbclassic-0.4.8-py39h06a4308_0
notebook 6.4.12-py39h06a4308_0 --> 6.5.2-py39h06a4308_0
openssl 1.1.1q-h7f8727e_0 --> 1.1.1s-h7f8727e_0
patchelf 0.13-h295c915_0 --> 0.15.0-h6a678d5_0
pkginfo pkgs/main/noarch::pkginfo-1.8.2-pyhd3~ --> pkgs/main/linux-64::pkginfo-1.8.3-py39h06a4308_0
pycosat 0.6.3-py39h27cfd23_0 --> 0.6.4-py39h5eee18b_0
readline 8.1.2-h7f8727e_1 --> 8.2-h5eee18b_0
setuptools 63.4.1-py39h06a4308_0 --> 65.5.0-py39h06a4308_0
soupsieve pkgs/main/noarch::soupsieve-2.3.1-pyh~ --> pkgs/main/linux-64::soupsieve-2.3.2.post1-py39h06a4308_0
sqlite 3.39.3-h5082296_0 --> 3.40.0-h5082296_0
toolz pkgs/main/noarch::toolz-0.11.2-pyhd3e~ --> pkgs/main/linux-64::toolz-0.12.0-py39h06a4308_0
tornado 6.1-py39h27cfd23_0 --> 6.2-py39h5eee18b_0
typing-extensions 4.3.0-py39h06a4308_0 --> 4.4.0-py39h06a4308_0
typing_extensions 4.3.0-py39h06a4308_0 --> 4.4.0-py39h06a4308_0
tzdata 2022c-h04d1e81_0 --> 2022f-h04d1e81_0
urllib3 1.26.11-py39h06a4308_0 --> 1.26.12-py39h06a4308_0
xz 5.2.6-h5eee18b_0 --> 5.2.8-h5eee18b_0
zlib 1.2.12-h5eee18b_3 --> 1.2.13-h5eee18b_0
Proceed ([y]/n)? y
Downloading and Extracting Packages
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
（8）创建python环境
详见第四章
常用命令详解
（1）conda info
conda info [-a] [--base] [-e] [-s] [--unsafe-channels]
选项：
-a, -all： 查看所有信息（不常用）。
–base：查看基环境所在路径。
-e, --envs：列出当前所有的 conda 环境。
-s, --system：列出所有的环境变量（不常用）。
–unsafe-channels：查看令牌公开的频道。
（2）conda create
conda create [-n 环境名称 | -p path] [--clone 环境名称] [-c channel_address] [PackageName]
选项：
-n, --name：我们可以根据环境名称来创建一个 conda 环境。
-p, --prefix：除了根据名称创建环境以外，我们还可以根据地址来创建 conda 环境。
–clone：--clone 主要用来克隆（复制）现有的环境。
-c, --channel：首先来介绍一下什么是 conda 频道。
（3）conda install
conda install [-n 环境名称 | -p path] [-c channel_address] [PackageName]
选项：
-n, --name：安装PackageName包的环境名称。
-p：也可以不指定环境名称，指定环境的绝对路径。
-c, --channel：频道地址，一般不指定的话默认即可。
（4）conda remove
conda uninstall 是 conda remove 的别名，我们也可以使用 conda uninstall 来移除包，方法是相同的。
conda remove [-n 环境名称 | -p path] [PackageName] [--all]
选项：
-n, --name：移除PackageName包的环境名称。
-p：也可以不指定环境名称，指定环境的绝对路径。
--all：卸载全部。
（5）conda list
conda list [-n 环境名称 | -p path] [PackageName]
选项：
-n, --name：查看python环境的环境名称。
-p：也可以不指定环境名称，指定环境的绝对路径。
（6）conda search
conda search 用来搜索指定的包。
conda search [-c channel_address] [-f] [PackageName]
选项
-c, --channel：指定的搜索频道地址。
（7）conda update
conda update 用来将一系列的包升级到最新版本。
conda update [-n 环境名称 | -p path] [PackageName] [--all]
选项：
-n, --name：移除PackageName包的环境名称。
-p：也可以不指定环境名称，指定环境的绝对路径。
--all：卸载全部。
（8）conda config
conda config 用来配置 conda 的频道，相关信息会存储在 /用户名/.condarc 文件中。
conda config --add channels [channel_address]
conda config --get #显示所有的配置
conda config --get [key1] [key2] #显示指定配置
conda config --add [key] [value] #添加新配置
conda config --set [key] [value] #设置配置
conda config --remove [key] [value] #删除一个配置
conda config --remove-key [key] #删除一个key
conda config --help #查看帮助信息
conda config --set show_channel_urls true
参考文献
[1] anaconda https://baike.baidu.com/item/anaconda/20407441
https://www.anaconda.com
[2] 初学 Python 者自学 Anaconda 的正确姿势是什么？https://zhuanlan.zhihu.com/p/32925500
[3] Anaconda介绍、安装及使用教程 https://zhuanlan.zhihu.com/p/32925500
[4] conda常用命令汇总 https://blog.csdn.net/raelum/article/details/125109819
[5] Conda介绍 https://blog.csdn.net/koflance/article/details/78582737