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  • Anaconda 利用conda安装第3方包

    1.包安装

    (1)安装指定的一个包

    conda install package_name
    注意:package_name为包的名称 

    例如要安装numpy,操作示例:

    利用win+R键,进入cmd窗口

    conda install numpy

    (2)同时安装多个包,可以输入

    conda install pandas numpy

    (3)如果想要指定包的版本,可以输入

    conda install numpy=1.14

    2.包移除

     conda remove package_name

    示例:移除numpy

    conda remove numpy

    3.更新包

    conda update package_name

    示例:更新numpy

    conda update numpy

    4.查看所有已安装的包

    conda list

    5.解决conda install 下载速度慢

    #例如, 添加清华anaconda镜像:
    conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
    conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
    conda config --set show_channel_urls yes

    6.安装pandas、scikit-learn、scipy、matplotlib 的部分截图参考

    (1)安装pandas

    (2)安装sklearn包

    conda install scikit-learn

    (3)安装scipy

    conda install Scipy

    (4)安装matplotlib 

    conda install matplotlib 

    7.conda安装jieba部分截图

    这时,输入如下代码:

    anaconda show conda-forge/jieba

    conda install --channel https://conda.anaconda.org/conda-forge jieba

     8.安装pytorch

    利用conda安装,则安装前输入以下代码

    ### 设置清华源镜像
     conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
     conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
     conda config --set show_channel_urls yes
    ### 设置pytorch镜像
     conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
     conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/peterjc123/

    打开pytorch 官网:https://pytorch.org/

    cpu版本pytorch安装命令如下:

    conda install pytorch torchvision cpuonly

    复制PyTorch官网命令,并将 -c pytorch删除。
    -c pytorch是强制从PyTorch官网下载包,配置的清华源就会失效。

     参考文献:https://www.jianshu.com/p/07abfe5f82e1

    9.安装Pytorchtext

    conda install  torchtext

    若出现conda找不到包的情况,首先尝试使用手机热点,切换网络。

     10 安装spacy

    conda config --add channels conda-forge
    conda install spacy

     安装完spacy后,使用时需要en_core_web_md(spacy的模型)

    利用常规的命令

    python -m spacy download en

    会报连接错误443

    最后使用pip安装

    下载链接:https://github.com/explosion/spacy-models ,选择与spacy版本匹配的spacy-model 

    https://github.com/explosion/spacy-models/tags?after=pt_core_news_sm-2.2.0

    最后,利用pip安装

    pip install E:	oolsoftwareen_core_web_md-2.2.0.tar.gz

    注意:E: oolsoftwareen_core_web_md-2.2.0.tar.gz 为包的路径

    C:Userslucky>pip install D:BaiduNetdiskDownloaden_core_web_md-2.2.0.tar.gz
    Processing d:aidunetdiskdownloaden_core_web_md-2.2.0.tar.gz
    Requirement already satisfied: spacy>=2.2.0 in d:softwaretoolsanacondalibsite-packages (from en-core-web-md==2.2.0) (2.2.1)
    Requirement already satisfied: plac<1.0.0,>=0.9.6 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (0.9.6)
    Requirement already satisfied: wasabi<1.1.0,>=0.2.0 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (0.7.0)
    Requirement already satisfied: cymem<2.1.0,>=2.0.2 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (2.0.3)
    Requirement already satisfied: blis<0.5.0,>=0.4.0 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (0.4.1)
    Requirement already satisfied: numpy>=1.15.0 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (1.16.4)
    Requirement already satisfied: requests<3.0.0,>=2.13.0 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (2.22.0)
    Requirement already satisfied: srsly<1.1.0,>=0.1.0 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (1.0.0)
    Requirement already satisfied: murmurhash<1.1.0,>=0.28.0 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (1.0.0)
    Requirement already satisfied: thinc<7.2.0,>=7.1.1 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (7.1.1)
    Requirement already satisfied: preshed<3.1.0,>=3.0.2 in d:softwaretoolsanacondalibsite-packages (from spacy>=2.2.0->en-core-web-md==2.2.0) (3.0.2)
    Requirement already satisfied: chardet<3.1.0,>=3.0.2 in d:softwaretoolsanacondalibsite-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.0->en-core-web-md==2.2.0) (3.0.4)
    Requirement already satisfied: certifi>=2017.4.17 in d:softwaretoolsanacondalibsite-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.0->en-core-web-md==2.2.0) (2019.6.16)
    Requirement already satisfied: idna<2.9,>=2.5 in d:softwaretoolsanacondalibsite-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.0->en-core-web-md==2.2.0) (2.8)
    Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in d:softwaretoolsanacondalibsite-packages (from requests<3.0.0,>=2.13.0->spacy>=2.2.0->en-core-web-md==2.2.0) (1.24.2)
    Requirement already satisfied: tqdm<5.0.0,>=4.10.0 in d:softwaretoolsanacondalibsite-packages (from thinc<7.2.0,>=7.1.1->spacy>=2.2.0->en-core-web-md==2.2.0) (4.32.1)
    Building wheels for collected packages: en-core-web-md
      Building wheel for en-core-web-md (setup.py) ... done
      Stored in directory: C:UsersluckyAppDataLocalpipCachewheelsce6ce716ad3df9e0dda1c9497218aaf976c1d07c00ae7ff4c7595cc6
    Successfully built en-core-web-md
    Installing collected packages: en-core-web-md
    Successfully installed en-core-web-md-2.2.0

    从cmd复制出来的代码可知:en-core-web-md-2.2.0安装成功。

    pip安装的包路径在:

    d:softwaretoolsanacondalibsite-packages

    参考文献:https://www.zhihu.com/question/56095738

    11.安装emoji

    conda install -c conda-forge emoji

     12.安装wordcloud

    conda install -c conda-forge wordcloud

     13.安装gensim

    conda install -c conda-forge gensim

     若无法安装:

    则采用pip安装.

    pip install gensim -i https://pypi.doubanio.com/simple

    cmd日志:

    Microsoft Windows [版本 10.0.17134.915]
    (c) 2018 Microsoft Corporation。保留所有权利。
    
    C:UsersAdministrator>pip install gensim -i https://pypi.doubanio.com/simple
    Looking in indexes: https://pypi.doubanio.com/simple
    Collecting gensim
      Downloading https://pypi.doubanio.com/packages/0b/66/04faeedb98bfa5f241d0399d0102456886179cabac0355475f23a2978847/gensim-3.8.3-cp37-cp37m-win_amd64.whl (24.2MB)
         |████████████████████████████████| 24.2MB 167kB/s
    Requirement already satisfied: numpy>=1.11.3 in c:softapplicationanaconda3libsite-packages (from gensim) (1.16.4)
    Requirement already satisfied: six>=1.5.0 in c:softapplicationanaconda3libsite-packages (from gensim) (1.12.0)
    Collecting smart-open>=1.8.1 (from gensim)
      Downloading https://pypi.doubanio.com/packages/0b/8e/464b06f5efd26f2dc16ce7bd1662c2f31cadf9104fdbcbf5994674cc3a51/smart_open-2.1.0.tar.gz (116kB)
         |████████████████████████████████| 122kB 930kB/s
    Requirement already satisfied: scipy>=0.18.1 in c:softapplicationanaconda3libsite-packages (from gensim) (1.2.1)
    Collecting Cython==0.29.14 (from gensim)
      Downloading https://pypi.doubanio.com/packages/1f/be/b14be5c3ad1ff73096b518be1538282f053ec34faaca60a8753d975d7e93/Cython-0.29.14-cp37-cp37m-win_amd64.whl (1.7MB)
         |████████████████████████████████| 1.7MB 3.3MB/s
    Requirement already satisfied: requests in c:softapplicationanaconda3libsite-packages (from smart-open>=1.8.1->gensim) (2.22.0)
    Requirement already satisfied: boto in c:softapplicationanaconda3libsite-packages (from smart-open>=1.8.1->gensim) (2.49.0)
    Collecting boto3 (from smart-open>=1.8.1->gensim)
      Downloading https://pypi.doubanio.com/packages/f2/48/5e45a055eb74405e8cd3e9464517007e28ee7b574377f26cee7b624e2f1f/boto3-1.14.18-py2.py3-none-any.whl (128kB)
         |████████████████████████████████| 133kB 3.3MB/s
    Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:softapplicationanaconda3libsite-packages (from requests->smart-open>=1.8.1->gensim) (1.24.2)
    Requirement already satisfied: chardet<3.1.0,>=3.0.2 in c:softapplicationanaconda3libsite-packages (from requests->smart-open>=1.8.1->gensim) (3.0.4)
    Requirement already satisfied: certifi>=2017.4.17 in c:softapplicationanaconda3libsite-packages (from requests->smart-open>=1.8.1->gensim) (2019.6.16)
    Requirement already satisfied: idna<2.9,>=2.5 in c:softapplicationanaconda3libsite-packages (from requests->smart-open>=1.8.1->gensim) (2.8)
    Collecting s3transfer<0.4.0,>=0.3.0 (from boto3->smart-open>=1.8.1->gensim)
      Downloading https://pypi.doubanio.com/packages/69/79/e6afb3d8b0b4e96cefbdc690f741d7dd24547ff1f94240c997a26fa908d3/s3transfer-0.3.3-py2.py3-none-any.whl (69kB)
         |████████████████████████████████| 71kB 1.5MB/s
    Collecting botocore<1.18.0,>=1.17.18 (from boto3->smart-open>=1.8.1->gensim)
      Downloading https://pypi.doubanio.com/packages/b8/c5/e0347f2c24e2bf0a8215755f0c372c127db037bb3179d3a6b44bd3eed06c/botocore-1.17.18-py2.py3-none-any.whl (6.3MB)
         |████████████████████████████████| 6.3MB 595kB/s
    Collecting jmespath<1.0.0,>=0.7.1 (from boto3->smart-open>=1.8.1->gensim)
      Downloading https://pypi.doubanio.com/packages/07/cb/5f001272b6faeb23c1c9e0acc04d48eaaf5c862c17709d20e3469c6e0139/jmespath-0.10.0-py2.py3-none-any.whl
    Requirement already satisfied: docutils<0.16,>=0.10 in c:softapplicationanaconda3libsite-packages (from botocore<1.18.0,>=1.17.18->boto3->smart-open>=1.8.1->gensim) (0.14)
    Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in c:softapplicationanaconda3libsite-packages (from botocore<1.18.0,>=1.17.18->boto3->smart-open>=1.8.1->gensim) (2.8.0)
    Building wheels for collected packages: smart-open
      Building wheel for smart-open (setup.py) ... done
      Stored in directory: C:UsersAdministratorAppDataLocalpipCachewheelsc06a99a94d38a27388c3ac815f97ae30a48e6db85c57dd8f92b285e7
    Successfully built smart-open
    Installing collected packages: jmespath, botocore, s3transfer, boto3, smart-open, Cython, gensim
      Found existing installation: Cython 0.29.12
        Uninstalling Cython-0.29.12:
          Successfully uninstalled Cython-0.29.12
    Successfully installed Cython-0.29.14 boto3-1.14.18 botocore-1.17.18 gensim-3.8.3 jmespath-0.10.0 s3transfer-0.3.3 smart-open-2.1.0
    
    C:UsersAdministrator>
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  • 原文地址:https://www.cnblogs.com/luckyplj/p/12673055.html
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