记录 anaconda安装jieba

最近用到 jieba ,在anaconda 怎么也安装补上,在网上找了一下,发现有几篇文章写得很好,但是为了怕自己以后再浪费时间,这里还是做个记录。

 

通常安装模块直接用pip install jieba,或者conda install jieba,但是有一些模块是无法使用以上两种方式安装上,这时就需要首先寻找模块,再安装。

 1、anaconda search -t conda jieba寻找模块,这时会出现该模块的很多版本的信息如下。

~ » anaconda search -t conda jieba                                                                                                                                             [email protected]
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, 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, py37_1001, py36_1, py_0, py35_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

2、找到合适的版本,根据版本的信息,输入anaconda show conda-forge/jieba3k,这时会出现该版本的信息如下,再执行最后一行的信息即可安装这时会出现。

~ » anaconda show conda-forge/jieba3k                                                                                                                                          [email protected]
Using Anaconda API: https://api.anaconda.org
Name:    jieba3k
Summary: Chinese Words Segementation Utilities
Access:  public
Package Types:  conda
Versions:
   + 0.35.1

To install this package with conda run:
     conda install --channel https://conda.anaconda.org/conda-forge jieba3k

3、执行最后一行的信息即可安装输入conda install --channel https://conda.anaconda.org/conda-forge jieba3k 进行安装

~ » conda install --channel https://conda.anaconda.org/conda-forge jieba3k                                                                                                     [email protected]
Collecting package metadata (current_repodata.json): done
Solving environment: \
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - defaults/osx-64::anaconda==2019.07=py37_0
  - defaults/osx-64::numba==0.44.1=py37h6440ff4_0
done

## Package Plan ##

  environment location: /Users/username/anaconda3

  added / updated specs:
    - jieba3k


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    _anaconda_depends-2019.03  |           py37_0           6 KB
    anaconda-custom            |           py37_1           3 KB
    ca-certificates-2019.9.11  |       hecc5488_0         143 KB  conda-forge
    certifi-2019.9.11          |           py37_0         147 KB  conda-forge
    conda-4.7.12               |           py37_0         3.0 MB  conda-forge
    jieba3k-0.35.1             |        py37_1001         6.2 MB  conda-forge
    openssl-1.1.1c             |       h01d97ff_0         1.9 MB  conda-forge
    tbb-2018.0.5               |       h2d50403_0         150 KB  conda-forge
    ------------------------------------------------------------
                                           Total:        11.5 MB

The following NEW packages will be INSTALLED:

  _anaconda_depends  pkgs/main/osx-64::_anaconda_depends-2019.03-py37_0
  jieba3k            conda-forge/osx-64::jieba3k-0.35.1-py37_1001
  tbb                conda-forge/osx-64::tbb-2018.0.5-h2d50403_0

The following packages will be UPDATED:

  ca-certificates    pkgs/main::ca-certificates-2019.5.15-0 --> conda-forge::ca-certificates-2019.9.11-hecc5488_0
  certifi               pkgs/main::certifi-2019.6.16-py37_0 --> conda-forge::certifi-2019.9.11-py37_0

The following packages will be SUPERSEDED by a higher-priority channel:

  conda                                           pkgs/main --> conda-forge
  openssl              pkgs/main::openssl-1.1.1c-h1de35cc_1 --> conda-forge::openssl-1.1.1c-h01d97ff_0

The following packages will be DOWNGRADED:

  anaconda                                   2019.07-py37_0 --> custom-py37_1


Proceed ([y]/n)? y 

Downloading and Extracting Packages
_anaconda_depends-20 | 6 KB | ################################################################################################################################################################# | 100%
certifi-2019.9.11 | 147 KB | ################################################################################################################################################################# | 100%
openssl-1.1.1c | 1.9 MB | ################################################################################################################################################################# | 100%
tbb-2018.0.5 | 150 KB | ################################################################################################################################################################# | 100%
ca-certificates-2019 | 143 KB | ################################################################################################################################################################# | 100%
jieba3k-0.35.1 | 6.2 MB | ################################################################################################################################################################# | 100%
conda-4.7.12 | 3.0 MB | ################################################################################################################################################################# | 100%
anaconda-custom | 3 KB | ################################################################################################################################################################# | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done

这样就安装好了,在anaconda 当前环境中就能看到jieba,打开jupyter notebook import jieba ,可以成功执行。

 

如果上面方法不行,那只能手动安装了,安装方法如下:

1、从官网下载jieba压缩包
https://pypi.org/project/jieba/#files 下载包

2、将压缩包解压到anaconda的pkgs目录。

3、打开anaconda prompt,切换目录至比如我的D:/anaconda/pkgs/jieba-0.39
然后执行python setup.py install即可。

4、再次打开jupyter notebook 测试import jieba,正常
pycharm中 import jieba ,正常。

 

参考文档:

https://blog.csdn.net/a857553315/article/details/81410142