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 unicorn@unicorndeMacBook-Pro
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 unicorn@unicorndeMacBook-Pro
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 unicorn@unicorndeMacBook-Pro
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