# python_dataprocess

**Repository Path**: wu-jiang-nineteen/python_dataprocess

## Basic Information

- **Project Name**: python_dataprocess
- **Description**: INCLUDE learning notes,runnable codes in JupyterNotebooks,experiments and reports
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-06-03
- **Last Updated**: 2023-06-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Python_dataprocess

## learning notes

## runnable notes

running in Jupyter Notebooks

core package version:

```
IPython          : 8.2.0
ipykernel        : 6.9.1
ipywidgets       : 7.6.5
jupyter_client   : 6.1.12
jupyter_core     : 4.9.2
jupyter_server   : 1.13.5
jupyterlab       : 3.3.2
nbclient         : 0.5.13
nbconvert        : 6.4.4
nbformat         : 5.3.0
notebook         : 6.4.8
qtconsole        : 5.3.0
traitlets        : 5.1.1
```

## experiments

### scrapy

running in **Python 3.9.12**

use the **MySQL** database

need package pymysql,selenium,pyecharts

#### steps

1. open the project through Pycharm
2. build the environment
3. run the **main.py**
4. after scrapying,a frame will come out
5. click different buttons and **input different stock_codes**,there will be different K-charts



### K-Means Analysis and Evaluating the value of passengers

running in **Python 3.9.12**

#### steps

1. open the project through Pycharm
2. build the environment
3. **run the DataPretreatment.py first**,and get the correct data
4. **run the DataAnalysis.py and wait wait and wait**!!!