批量安装python环境以及查看python内部模块命令，内置函数，查看python已经安装的模块命令

古城微笑少年丶 2022-03-30 09:00 423阅读 0赞

批量安装python环境以及查看python内部模块命令，内置函数，查看python已经安装的模块命令可以用dir(modules)

**(1) 批量安装的python包**  
localhost:interface\_dev a6$ pip list > requirements.txt

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2hlbGxveGlhb3poZQ_size_16_color_FFFFFF_t_70][]

**将requirements.txt文件中的Version那一列干掉，只保留包名，就可以批量安装python包了**

localhost:interface\_dev a6$ pip install -r requirements.txt

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2hlbGxveGlhb3poZQ_size_16_color_FFFFFF_t_70 1][]

**(2) 查看所有已安装的python包**

使用pip list

**(3) 以下命令，起一个web服务，查看所有已安装的包**

localhost:xxx\_di a6$ python -m pydoc -p 1234  
pydoc server ready at http://localhost:1234/

然后在浏览器打开[http://localhost:1234/][http_localhost_1234]，即可看到目前已经安装的所有python包

**(4) 使用dir或者help查看某个python模块**

> localhost:Applications a6$ python  
> Python 2.7.10 (default, Jul 15 2017, 17:16:57)  
> \[GCC 4.2.1 Compatible Apple LLVM 9.0.0 (clang-900.0.31)\] on darwin  
> Type "help", "copyright", "credits" or "license" for more information.  
> >>> dir  
> <built-in function dir>  
> >>> import xlwt  
> **>>> dir(xlwt)**  
> \['ANTLRException', 'Alignment', 'BIFFRecords', 'Bitmap', 'Borders', 'Cell', 'Column', 'ExcelFormula', 'ExcelFormulaLexer', 'ExcelFormulaParser', 'ExcelMagic', 'Font', 'Formatting', 'Formula', 'Pattern', 'Protection', 'Row', 'Style', 'UnicodeUtils', 'Utils', 'Workbook', 'Worksheet', 'XFStyle', '\_\_VERSION\_\_', '\_\_builtins\_\_', '\_\_doc\_\_', '\_\_file\_\_', '\_\_name\_\_', '\_\_package\_\_', '\_\_path\_\_', 'add\_palette\_colour', 'antlr', 'compat', 'easyfont', 'easyxf', 'struct'\]
> 
> **>>> help('xlwt')**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2hlbGxveGlhb3poZQ_size_16_color_FFFFFF_t_70 2][]

参考：[https://www.cnblogs.com/zdz8207/p/python\_learn\_note\_111.html][https_www.cnblogs.com_zdz8207_p_python_learn_note_111.html]

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2hlbGxveGlhb3poZQ_size_16_color_FFFFFF_t_70]: /images/20220330/bb115c4b07054f82ab0c41bbd1347ffb.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2hlbGxveGlhb3poZQ_size_16_color_FFFFFF_t_70 1]: /images/20220330/1ecc1c6661b749eba9ee73f32dba8529.png
[http_localhost_1234]: http://localhost:1234/
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2hlbGxveGlhb3poZQ_size_16_color_FFFFFF_t_70 2]: /images/20220330/8873d75ac8104b6c9dda3d3d5cddcb96.png
[https_www.cnblogs.com_zdz8207_p_python_learn_note_111.html]: https://www.cnblogs.com/zdz8207/p/python_learn_note_111.html