6月20日配置conda环境
2020-07-14 06:31
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项目conda环境的配置
先附上学习的博客
conda安装使用学习
- 安装好conda后直接activate环境时报了下面这个错误
CommandNotFoundError: Your shell has not been properly configured to use 'conda activate'. To initialize your shell, run $ conda init <SHELL_NAME>
后来查阅博客conda错误解决知道了是上次ssh连接该服务器使用conda activate python36命令激活环境后未使用conda deactivate退出环境就关闭终端导致的。最终通过这篇博客解决。
2. conda项目py环境的配置,项目使用的是python3.8
依赖如下:
name: innovationtraining channels: - defaults dependencies: - _r-mutex=1.0.0=anacondar_1 - attrs=19.3.0=py_0 - backcall=0.1.0=py38_0 - beautifulsoup4=4.9.1=py38_0 - bleach=3.1.4=py_0 - ca-certificates=2020.1.1=0 - certifi=2020.4.5.2=py38_0 - cffi=1.14.0=py38h7a1dbc1_0 - chardet=3.0.4=py38_1003 - click=7.1.2=py_0 - colorama=0.4.3=py_0 - cryptography=2.9.2=py38h7a1dbc1_0 - decorator=4.4.2=py_0 - defusedxml=0.6.0=py_0 - elasticsearch=7.0.4=py_0 - entrypoints=0.3=py38_0 - flask=1.1.2=py_0 - flask-sqlalchemy=2.4.1=py_0 - icu=58.2=ha925a31_3 - idna=2.9=py_1 - importlib-metadata=1.6.0=py38_0 - importlib_metadata=1.6.0=0 - ipykernel=5.1.4=py38h39e3cac_0 - ipython=7.13.0=py38h5ca1d4c_0 - ipython_genutils=0.2.0=py38_0 - ipywidgets=7.5.1=py_0 - itsdangerous=1.1.0=py_0 - jedi=0.17.0=py38_0 - jinja2=2.11.2=py_0 - jpeg=9b=hb83a4c4_2 - json5=0.9.5=py_0 - jsonschema=3.2.0=py38_0 - jupyter=1.0.0=py38_7 - jupyter_client=6.1.3=py_0 - jupyter_console=6.1.0=py_0 - jupyter_core=4.6.3=py38_0 - libpng=1.6.37=h2a8f88b_0 - libsodium=1.0.16=h9d3ae62_0 - m2w64-bwidget=1.9.10=2 - m2w64-bzip2=1.0.6=6 - m2w64-expat=2.1.1=2 - m2w64-fftw=3.3.4=6 - m2w64-flac=1.3.1=3 - m2w64-gcc-libgfortran=5.3.0=6 - m2w64-gcc-libs=5.3.0=7 - m2w64-gcc-libs-core=5.3.0=7 - m2w64-gettext=0.19.7=2 - m2w64-gmp=6.1.0=2 - m2w64-gsl=2.1=2 - m2w64-libiconv=1.14=6 - m2w64-libjpeg-turbo=1.4.2=3 - m2w64-libogg=1.3.2=3 - m2w64-libpng=1.6.21=2 - m2w64-libsndfile=1.0.26=2 - m2w64-libtiff=4.0.6=2 - m2w64-libvorbis=1.3.5=2 - m2w64-libwinpthread-git=5.0.0.4634.697f757=2 - m2w64-libxml2=2.9.3=4 - m2w64-mpfr=3.1.4=4 - m2w64-openblas=0.2.19=1 - m2w64-pcre=8.38=2 - m2w64-speex=1.2rc2=3 - m2w64-speexdsp=1.2rc3=3 - m2w64-tcl=8.6.5=3 - m2w64-tk=8.6.5=3 - m2w64-tktable=2.10=5 - m2w64-wineditline=2.101=5 - m2w64-xz=5.2.2=2 - m2w64-zlib=1.2.8=10 - markupsafe=1.1.1=py38he774522_0 - mistune=0.8.4=py38he774522_1000 - msys2-conda-epoch=20160418=1 - nbconvert=5.6.1=py38_0 - nbformat=5.0.6=py_0 - notebook=6.0.3=py38_0 - openssl=1.1.1g=he774522_0 - pandoc=2.2.3.2=0 - pandocfilters=1.4.2=py38_1 - parso=0.7.0=py_0 - pickleshare=0.7.5=py38_1000 - pip=20.0.2=py38_3 - prometheus_client=0.7.1=py_0 - prompt-toolkit=3.0.5=py_0 - prompt_toolkit=3.0.5=0 - pycparser=2.20=py_0 - pygments=2.6.1=py_0 - pymysql=0.9.2=py38_0 - pyopenssl=19.1.0=py38_0 - pyqt=5.9.2=py38ha925a31_4 - pyrsistent=0.16.0=py38he774522_0 - pysocks=1.7.1=py38_0 - python=3.8.3=he1778fa_0 - python-dateutil=2.8.1=py_0 - pywin32=227=py38he774522_1 - pywinpty=0.5.7=py38_0 - pyzmq=18.1.1=py38ha925a31_0 - qt=5.9.7=vc14h73c81de_0 - qtconsole=4.7.4=py_0 - qtpy=1.9.0=py_0 - r-base=3.6.1=hf18239d_1 - r-jiebard=0.1=r36h6115d3f_0 - requests=2.23.0=py38_0 - selenium=3.141.0=py38he774522_1000 - send2trash=1.5.0=py38_0 - setuptools=47.1.1=py38_0 - sip=4.19.13=py38ha925a31_0 - six=1.15.0=py_0 - soupsieve=2.0.1=py_0 - sqlalchemy=1.3.17=py38he774522_0 - sqlite=3.31.1=h2a8f88b_1 - terminado=0.8.3=py38_0 - testpath=0.4.4=py_0 - tornado=6.0.4=py38he774522_1 - traitlets=4.3.3=py38_0 - urllib3=1.25.8=py38_0 - vc=14.1=h0510ff6_4 - vs2015_runtime=14.16.27012=hf0eaf9b_2 - wcwidth=0.1.9=py_0 - webencodings=0.5.1=py38_1 - werkzeug=1.0.1=py_0 - wheel=0.34.2=py38_0 - widgetsnbextension=3.5.1=py38_0 - win_inet_pton=1.1.0=py38_0 - wincertstore=0.2=py38_0 - winpty=0.4.3=4 - zeromq=4.3.1=h33f27b4_3 - zipp=3.1.0=py_0 - zlib=1.2.11=h62dcd97_4 - pip: - jieba==0.42.1 - simplejson==3.17.0 prefix: D:\mysoftware\Anaconda\envs\innovationtraining
直接使用依赖文件安装包的时候报了错误,一个一个安装的。
3. 使用
conda install package_name
安装python包时,有的python包,安装失败,显示
condainstallpydotFetchingpackagemetadata.......Solvingpackagespecifications:.PackageNotFoundError:Packagenotfound:''
查阅博客得知可以使用
anaconda search -t conda package_name
来查找到有对应库的源,然后安装,此处以jieba分词的包为例
(base) [admin@iZ2zeircp62xkpbg5hioetZ ~]$ conda search -t jieba3k usage: conda [-h] [-V] command ... conda: error: unrecognized arguments: -t (base) [admin@iZ2zeircp62xkpbg5hioetZ ~]$ anaconda search -t conda jieba Using Anaconda API: https://api.anaconda.org Packages: Name | Version | Package Types | Platforms | Builds ------------------------- | ------ | --------------- | --------------- | ---------- auto/jieba | 0.32 | conda | linux-64, linux-32 | py27_0 : http://github.com/fxsjy conda-forge/jieba | 0.39 | conda | linux-64, win-32, osx-64, noarch, win-64 | py_1, py36_0, pyh9f0ad1d_1, py35_0, py27_0 : Chinese Words Segementation Utilities conda-forge/jieba3k | 0.35.1 | conda | linux-64, win-32, osx-64, win-64, noarch | py36_1001, py36h9f0ad1d_1002, py37_1001, py38h32f6830_1002, py36_1, py37hc8dfbb8_1002, py36hc560c46_1002, py_0, py35_1001, py38_1001, py35_1 : Chinese Words Segementation Utilities creditx/jieba | 0.38 | conda | linux-64 | py35_0, py27_0 hargup/jieba | | conda | linux-64 | py27_0 : Chinese Words Segementation Utilities iilab/jieba | 0.36.2 | conda | linux-64, osx-64 | py34_0 : Chinese Words Segementation Utilities iilab/jieba3k | 0.35.1 | conda | linux-64, osx-64 | py34_0 : Chinese Words Segementation Utilities jiangxiluning/jieba | 0.36.2 | conda | linux-64, osx-64, win-64 | py27_0 : Chinese Words Segementation Utilities moustik/jieba | 0.38 | conda | linux-64 | py27_0 r/r-jiebard | 0.1 | conda | noarch | r36h6115d3f_0 : jiebaR is a package for Chinese text segmentation, keyword extraction and speech tagging. This package provides the data files required by jiebaR. r_test/r-jiebard | 0.1 | conda | noarch | r36h6115d3f_0 : jiebaR is a package for Chinese text segmentation, keyword extraction and speech tagging. This package provides the data files required by jiebaR. syllabs_admin/jieba | 0.39 | conda | linux-64 | py27ha286e51_0 Found 12 packages Run 'anaconda show <USER/PACKAGE>' to get installation details (base) [admin@iZ2zeircp62xkpbg5hioetZ ~]$ conda install -c https://conda.anaconda.org/conda-forge jieba3k
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