最近用到 jieba ，在anaconda 怎么也安裝補上，在網上找了一下，發現有幾篇文章寫得很好，但是為了怕自己以后再浪費時間，這里還是做個記錄。

通常安裝模塊直接用pip install jieba，或者conda install jieba，但是有一些模塊是無法使用以上兩種方式安裝上，這時就需要首先尋找模塊，再安裝。

1、anaconda search -t conda jieba尋找模塊，這時會出現該模塊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

: jiebaRis a package for Chinese text segmentation, keyword extraction andspeech tagging. This package provides the data files required by jiebaR.

r_test/r-jiebard | 0.1 | conda | noarch |r36h6115d3f_0

: jiebaRis a package for Chinese text segmentation, keyword extraction andspeech tagging. This package provides the data files required by jiebaR.

syllabs_admin/jieba | 0.39 | conda | linux-64 |py27ha286e51_0

Found12packages

Run‘anaconda show ‘ to get installation details

2、找到合適的版本，根據版本的信息，輸入anaconda show conda-forge/jieba3k，這時會出現該版本的信息如下，再執行最后一行的信息即可安裝這時會出現。

~ ? 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:+ 0.35.1To install this package with conda run:

conda install--channel https://conda.anaconda.org/conda-forge jieba3k

3、執行最后一行的信息即可安裝輸入conda install --channel https://conda.anaconda.org/conda-forge jieba3k 進行安裝

~ ? conda install --channel https://conda.anaconda.org/conda-forge jieba3k unicorn@unicorndeMacBook-Pro

Collecting package metadata (current_repodata.json): done

Solving environment: The environmentisinconsistent, 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 6KB

anaconda-custom | py37_1 3KB

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:11.5MB

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:

anaconda2019.07-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

這樣就安裝好了，在anaconda 當前環境中就能看到jieba，打開jupyter?notebook import jieba ，可以成功執行。

如果上面方法不行，那只能手動安裝了，安裝方法如下：

2、將壓縮包解壓到anaconda的pkgs目錄。

3、打開anaconda prompt,切換目錄至比如我的D:/anaconda/pkgs/jieba-0.39

然后執行python setup.py install即可。

4、再次打開jupyter notebook 測試import jieba，正常

pycharm中 import jieba ，正常。

參考文檔：

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

原文：https://www.cnblogs.com/unicorn2105/p/11687979.html

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