python 01数据分析（搭建环境、jupyter的基本使用）

àì夳堔傛蜴生んèń 2023-10-08 12:00 5阅读 0赞

#### python 01数据分析 ####

*   *   *  1、python环境、数据分析相关库
         *   *  1.1、首先检查电脑里是否安装python
             *  1.2、安装数据分析相关库
             *  1.3、jupyter
             *   *  1.3.1、jupyter启动位置
                 *  1.3.2、jupyter创建文件
                 *  1.3.3、jupyter开始写代码
         *  2、集成环境anaconda

#### 1、python环境、数据分析相关库 ####

##### 1.1、首先检查电脑里是否安装python #####

> 检查是否安装,直接在cmd里输入python看看能否识别这个指令

![在这里插入图片描述][20200113233100552.png]

> 如果python没有安装，python3安装参考：https://www.runoob.com/python3/python3-install.html

##### 1.2、安装数据分析相关库 #####

首先在cmd里把pip更新到最新版本

python -m pip install --upgrade pip

查看已经安装有哪些库(已有的库可以不用再次安装)

pip list

![在这里插入图片描述][20200113232809716.png]  
安装库(这里我们使用的是清华安装源)

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple numpy

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple jupyter

##### 1.3、jupyter #####

jupyter是一个数据分析工具  
安装完成后,在cmd里面输入jupyter notebook,它会在浏览器中打开  
(建议你使用谷歌浏览器)  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70]  
这里cmd如果关闭,jupyter也会关闭  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 1]

###### 1.3.1、jupyter启动位置 ######

关于jupyter,你在哪个目录下启动,显示的第一个页面就是对应目录  
例:  
这是我的F盘  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 2]  
我在F盘启动  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 3]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 4]

###### 1.3.2、jupyter创建文件 ######

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 5]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 6]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 7]  
jupyter的文件名以.ipynb结尾  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 8]

###### 1.3.3、jupyter开始写代码 ######

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 9]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 10]  
例子:  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2FfX2ludF9f_size_16_color_FFFFFF_t_70 11]

#### 2、集成环境anaconda ####

anaconda下载地址：（大概有400多兆）

> 选择电脑里对应的的python版本安装：  
> https://www.anaconda.com/distribution/\#download-section

*  安装的时候可以修改一个安装路径,其他的一路下一步就ok ,  
    到最后会提示你安装微软的vscode,点skip(跳过)
 *  anaconda里面会集成python、jupyter等环境,  
    如果本文标题1里的相关环境,你没有安装或配置,  
    你可以直接找到anaconda的安装目录,把相关环境配置到path里去

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