### Install Tushare

Source: https://github.com/waditu/tushare/wiki/Tushare-on-Centos-7安装详解

Installs the Tushare library using pip. This is the main step for getting Tushare functionality.

```bash
pip install tushare
```

--------------------------------

### Install Python

Source: https://github.com/waditu/tushare/wiki/Tushare-on-Centos-7安装详解

Installs Python using the zypper package manager. This is a prerequisite for Tushare.

```bash
zypper install python
```

--------------------------------

### Install pip

Source: https://github.com/waditu/tushare/wiki/Tushare-on-Centos-7安装详解

Downloads and installs pip, the Python package installer. This is essential for installing Tushare and its dependencies.

```bash
wget https://bootstrap.pypa.io/get-pip.py
python get-pip.py
```

--------------------------------

### Install MariaDB and Related Libraries

Source: https://github.com/waditu/tushare/wiki/Tushare-on-Centos-7安装详解

Installs MariaDB server and necessary Python/PHP libraries for database integration on CentOS 7.

```bash
yum -y mariadb-server
yum -y install MySQL-python.x86_64
yum -y install httpd
yum -y install php php-mbstring php-pear
yum -y install phpMyAdmin php-mysql php-mcrypt
```

--------------------------------

### Install SQLAlchemy

Source: https://github.com/waditu/tushare/wiki/Tushare-on-Centos-7安装详解

Installs SQLAlchemy, a Python SQL toolkit and Object Relational Mapper, required for database interaction.

```bash
pip install sqlalchemy
```

--------------------------------

### Install pandas

Source: https://github.com/waditu/tushare/wiki/Tushare-on-Centos-7安装详解

Installs the pandas library, a core dependency for Tushare, using pip.

```bash
pip install pandas
```

--------------------------------

### Install Tushare Dependencies

Source: https://github.com/waditu/tushare/wiki/Tushare-on-Centos-7安装详解

Installs essential libraries for Tushare, including lxml, requests, and bs4, using pip.

```bash
pip install lxml
pip install requests
pip install bs4
```

--------------------------------

### Get GEM Board Classification Data

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Fetches data for stocks listed on the GEM (Growth Enterprise Market) board, typically identified by codes starting with '300'. An optional 'file_path' can be used for custom stock files.

```python
import tushare as ts

ts.get_gem_classified()
```

--------------------------------

### Get SME Board Classification Data

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Retrieves data for stocks listed on the SME (Small and Medium Enterprise) board, typically identified by codes starting with '002'. An optional 'file_path' can be used for custom stock files.

```python
import tushare as ts

ts.get_sme_classified()
```

--------------------------------

### Get CSI 300 Component Stocks and Weights

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Retrieves the current component stocks and their respective weights for the CSI 300 index.

```python
import tushare as ts

ts.get_hs300s()
```

--------------------------------

### Get SSE 50 Component Stocks

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Fetches the list of component stocks for the Shanghai Stock Exchange 50 index.

```python
import tushare as ts

ts.get_sz50s()
```

--------------------------------

### Get Stock Basics

Source: https://github.com/waditu/tushare/blob/master/docs/fundamental.rst

Retrieves fundamental information for all listed stocks, including industry, area, PE ratio, outstanding shares, and more. Use this to get a general overview of companies.

```python
import tushare as ts

ts.get_stock_basics()
```

--------------------------------

### Get Profitability Data

Source: https://github.com/waditu/tushare/blob/master/docs/fundamental.rst

Retrieves annual or quarterly profitability data, such as ROE, net profit ratio, gross profit margin, and net profits. Use this to assess a company's earning power.

```python
# Get profitability data for the 3rd quarter of 2014
ts.get_profit_data(2014,3)
```

--------------------------------

### Get Industry Classification Data

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Retrieves industry classification for stocks based on Sina Finance categories. This data is fetched online and may have a delay; consider storing it locally after retrieval.

```python
import tushare as ts

ts.get_industry_classified()
```

--------------------------------

### Get Risk Alert Board Classification Data

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Retrieves data for stocks on the risk-alert board, commonly known as 'ST' stocks. An optional 'file_path' can be provided for custom stock files.

```python
import tushare as ts

ts.get_st_classified()
```

--------------------------------

### Get Historical K-line Data by Type

Source: https://github.com/waditu/tushare/blob/master/docs/trading.rst

Retrieves historical K-line data for different time intervals (weekly, monthly, 5-minute, 15-minute, 30-minute, 60-minute). This allows for analysis at various granularities. The 'ktype' parameter specifies the desired data frequency.

```python
ts.get_hist_data('600848', ktype='W') #获取周k线数据
```

```python
ts.get_hist_data('600848', ktype='M') #获取月k线数据
```

```python
ts.get_hist_data('600848', ktype='5') #获取5分钟k线数据
```

```python
ts.get_hist_data('600848', ktype='15') #获取15分钟k线数据
```

```python
ts.get_hist_data('600848', ktype='30') #获取30分钟k线数据
```

```python
ts.get_hist_data('600848', ktype='60') #获取60分钟k线数据
```

--------------------------------

### Get Adjusted Historical Data (Forward or Backward)

Source: https://github.com/waditu/tushare/blob/master/docs/trading.rst

Retrieves historical stock data with adjustments for stock splits and dividends. Supports forward ('fq') and backward ('hfq') adjustments, or no adjustment ('None'). It can fetch data since listing or within a specified date range. For index data, set `index=True` and ignore `autype`.

```python
ts.get_h_data('002337') #前复权
```

```python
ts.get_h_data('002337', autype='hfq') #后复权
```

```python
ts.get_h_data('002337', autype=None) #不复权
```

```python
ts.get_h_data('002337', start='2015-01-01', end='2015-03-16') #两个日期之间的前复权数据
```

```python
ts.get_h_data('399106', index=True) #深圳综合指数
```

--------------------------------

### Get Earnings Report Data

Source: https://github.com/waditu/tushare/blob/master/docs/fundamental.rst

Fetches annual or quarterly earnings report data for a specific year and quarter. This includes EPS, ROE, net profits, and distribution plans. Data retrieval may take time depending on your network speed.

```python
# Get earnings report data for the 3rd quarter of 2014
ts.get_report_data(2014,3)
```

--------------------------------

### Get Regional Classification Data

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Classifies stocks by their geographical region. An optional 'file_path' parameter can be provided to use a custom stock file.

```python
import tushare as ts

ts.get_area_classified()
```

--------------------------------

### Get Concept Classification Data

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Fetches stock classification data based on market concepts. This is useful for analyzing 'concept-driven' trading and monitoring fund movements. Data is fetched online and may have a delay.

```python
import tushare as ts

ts.get_concept_classified()
```

--------------------------------

### Get Historical K-line Data within a Date Range

Source: https://github.com/waditu/tushare/blob/master/docs/trading.rst

Fetches historical K-line data for a specified date range. This is useful for analyzing specific periods. The function returns detailed trading information including open, high, close, low prices, volume, price change, and moving averages.

```python
ts.get_hist_data('600848',start='2015-01-05',end='2015-01-09')
```

--------------------------------

### GEM Board Classification

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Retrieves data for stocks listed on the GEM board (Growth Enterprise Market), which typically includes stocks with codes starting with '300'. An optional file path can be provided.

```APIDOC
## get_gem_classified

### Description
Retrieves data for stocks listed on the GEM board (Growth Enterprise Market), which typically includes stocks with codes starting with '300'. An optional file path can be provided.

### Method
GET

### Endpoint
/classification/gem

### Parameters
#### Query Parameters
- **file_path** (string) - Optional - Path to a custom stock file. Defaults to None, using TuShare's provided data.

### Request Example
```python
import tushare as ts

ts.get_gem_classified()
```

### Response
#### Success Response (200)
- **code** (string) - Stock code
- **name** (string) - Stock name

#### Response Example
```json
{
  "code": "300001",
  "name": "特锐德"
}
```
```

--------------------------------

### Get Index K-line Data

Source: https://github.com/waditu/tushare/blob/master/docs/trading.rst

Fetches historical K-line data for major stock market indices. The 'code' parameter can be set to 'sh' for Shanghai Composite, 'sz' for Shenzhen Component, 'hs300' for CSI 300, 'sz50' for SSE 50, 'zxb' for SME Board, and 'cyb' for ChiNext.

```python
ts.get_hist_data('sh')
```

```python
ts.get_hist_data('sz')
```

```python
ts.get_hist_data('hs300')
```

```python
ts.get_hist_data('sz50')
```

```python
ts.get_hist_data('zxb')
```

```python
ts.get_hist_data('cyb')
```

--------------------------------

### Get Operational Data

Source: https://github.com/waditu/tushare/blob/master/docs/fundamental.rst

Fetches annual or quarterly operational efficiency data, including accounts receivable turnover, inventory turnover, and current asset turnover. This helps in evaluating how effectively a company utilizes its assets.

```python
# Get operational data for the 3rd quarter of 2014
ts.get_operation_data(2014,3)
```

--------------------------------

### SME Board Classification

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Retrieves data for stocks listed on the SME board (Small and Medium Enterprise board), which typically includes stocks with codes starting with '002'. An optional file path can be provided.

```APIDOC
## get_sme_classified

### Description
Retrieves data for stocks listed on the SME board (Small and Medium Enterprise board), which typically includes stocks with codes starting with '002'. An optional file path can be provided.

### Method
GET

### Endpoint
/classification/sme

### Parameters
#### Query Parameters
- **file_path** (string) - Optional - Path to a custom stock file. Defaults to None, using TuShare's provided data.

### Request Example
```python
import tushare as ts

ts.get_sme_classified()
```

### Response
#### Success Response (200)
- **code** (string) - Stock code
- **name** (string) - Stock name

#### Response Example
```json
{
  "code": "002001",
  "name": "新 和 成"
}
```
```

--------------------------------

### Get Historical Daily K-line Data

Source: https://github.com/waditu/tushare/blob/master/docs/trading.rst

Retrieves historical daily K-line data for a given stock code. This function can fetch up to the last three years of daily data. It includes moving average data (ma5, ma10, ma20) and volume moving averages (v_ma5, v_ma10, v_ma20).

```python
import tushare as ts

ts.get_hist_data('600848') #一次性获取全部日k线数据
```

--------------------------------

### HS300 Constituents and Weights

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Fetches the current constituents and their weights for the CSI 300 index (沪深300).

```APIDOC
## get_hs300s

### Description
Fetches the current constituents and their weights for the CSI 300 index (沪深300).

### Method
GET

### Endpoint
/index/hs300

### Parameters
None

### Request Example
```python
import tushare as ts

ts.get_hs300s()
```

### Response
#### Success Response (200)
- **code** (string) - Stock code
- **name** (string) - Stock name
- **date** (string) - Date of the data
- **weight** (float) - Weight of the stock in the index

#### Response Example
```json
{
  "code": "000001",
  "name": "平安银行",
  "date": "2015-03-02",
  "weight": 0.93
}
```
```

--------------------------------

### get_h_data

Source: https://github.com/waditu/tushare/blob/master/docs/trading.rst

Retrieves historical adjusted (front, back, or no adjustment) K-line data for stocks and indices. Provides all historical data since listing for stocks. For indices, it provides all historical data.

```APIDOC
## GET /get_h_data

### Description
Retrieves historical adjusted (front, back, or no adjustment) K-line data for stocks and indices. Provides all historical data since listing for stocks. For indices, it provides all historical data.

### Method
GET

### Endpoint
/get_h_data

### Parameters
#### Query Parameters
- **code** (string) - Required - Stock code (e.g., '002337') or index code (e.g., '399106').
- **start** (string) - Optional - Start date in 'YYYY-MM-DD' format. If not provided, defaults to approximately one year of data.
- **end** (string) - Optional - End date in 'YYYY-MM-DD' format.
- **autype** (string) - Optional - Adjustment type: 'qfq' (front adjustment, default), 'hfq' (back adjustment), None (no adjustment).
- **index** (boolean) - Optional - Set to True if retrieving data for an index (default: False).
- **retry_count** (integer) - Optional - Number of retries on network errors (default: 3).
- **pause** (integer) - Optional - Seconds to pause between retries (default: 0).

### Response
#### Success Response (200)
- **date** (string) - Date
- **open** (float) - Opening price
- **high** (float) - Highest price
- **close** (float) - Closing price
- **low** (float) - Lowest price
- **volume** (float) - Trading volume
- **price_change** (float) - Price change
- **p_change** (float) - Percentage change
- **ma5** (float) - 5-day moving average
- **ma10** (float) - 10-day moving average
- **ma20** (float) - 20-day moving average
- **v_ma5** (float) - 5-day volume moving average
- **v_ma10** (float) - 10-day volume moving average
- **v_ma20** (float) - 20-day volume moving average
- **turnover** (float) - Turnover rate (not available for indices)

### Request Example
```python
import tushare as ts

ts.get_h_data('002337') # Front adjustment (default)
ts.get_h_data('002337', autype='hfq') # Back adjustment
ts.get_h_data('002337', autype=None) # No adjustment
ts.get_h_data('002337', start='2015-01-01', end='2015-03-16') # Specific date range
ts.get_h_data('399106', index=True) # Shenzhen Component Index
```
```

--------------------------------

### SSE 50 Constituents

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Retrieves the constituent stocks for the SSE 50 index (上证50).

```APIDOC
## get_sz50s

### Description
Retrieves the constituent stocks for the SSE 50 index (上证50).

### Method
GET

### Endpoint
/index/sz50

### Parameters
None

### Request Example
```python
import tushare as ts

ts.get_sz50s()
```

### Response
#### Success Response (200)
- **code** (string) - Stock code
- **name** (string) - Stock name

#### Response Example
```json
{
  "code": "600000",
  "name": "浦发银行"
}
```
```

--------------------------------

### Risk Warning Board Classification

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Retrieves data for stocks on the risk warning board, typically including 'ST' stocks. An optional file path can be provided.

```APIDOC
## get_st_classified

### Description
Retrieves data for stocks on the risk warning board, typically including 'ST' stocks. An optional file path can be provided.

### Method
GET

### Endpoint
/classification/st

### Parameters
#### Query Parameters
- **file_path** (string) - Optional - Path to a custom stock file. Defaults to None, using TuShare's provided data.

### Request Example
```python
import tushare as ts

ts.get_st_classified()
```

### Response
#### Success Response (200)
- **code** (string) - Stock code
- **name** (string) - Stock name

#### Response Example
```json
{
  "code": "000033",
  "name": "*ST新都"
}
```
```

--------------------------------

### Concept Classification

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Returns concept classification data for stocks. This is valuable for monitoring fund movements and identifying investment opportunities based on market concepts.

```APIDOC
## get_concept_classified

### Description
Returns concept classification data for stocks. This is valuable for monitoring fund movements and identifying investment opportunities based on market concepts.

### Method
GET

### Endpoint
/classification/concept

### Parameters
None

### Request Example
```python
import tushare as ts

ts.get_concept_classified()
```

### Response
#### Success Response (200)
- **code** (string) - Stock code
- **name** (string) - Stock name
- **c_name** (string) - Concept name

#### Response Example
```json
{
  "code": "600007",
  "name": "中国国贸",
  "c_name": "外资背景"
}
```
```

--------------------------------

### Industry Classification

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Retrieves industry classification for Shanghai and Shenzhen A-shares based on Sina Finance's categorization. This data is useful for analyzing stock performance and fund flows by industry.

```APIDOC
## get_industry_classified

### Description
Retrieves industry classification for Shanghai and Shenzhen A-shares based on Sina Finance's categorization. This data is useful for analyzing stock performance and fund flows by industry.

### Method
GET

### Endpoint
/classification/industry

### Parameters
None

### Request Example
```python
import tushare as ts

ts.get_industry_classified()
```

### Response
#### Success Response (200)
- **code** (string) - Stock code
- **name** (string) - Stock name
- **c_name** (string) - Industry name

#### Response Example
```json
{
  "code": "600051",
  "name": "宁波联合",
  "c_name": "综合行业"
}
```
```

--------------------------------

### get_hist_data

Source: https://github.com/waditu/tushare/blob/master/docs/trading.rst

Retrieves historical K-line data for a given stock code or index. Supports daily, weekly, monthly, and various minute intervals. Can specify date ranges and retry parameters.

```APIDOC
## GET /get_hist_data

### Description
Retrieves historical K-line data for a given stock code or index. Supports daily, weekly, monthly, and various minute intervals. Can specify date ranges and retry parameters.

### Method
GET

### Endpoint
/get_hist_data

### Parameters
#### Query Parameters
- **code** (string) - Required - Stock code (e.g., '600848') or index code (e.g., 'sh', 'sz', 'hs300', 'sz50', 'zxb', 'cyb').
- **start** (string) - Optional - Start date in 'YYYY-MM-DD' format.
- **end** (string) - Optional - End date in 'YYYY-MM-DD' format.
- **ktype** (string) - Optional - Data type: 'D' (Day, default), 'W' (Week), 'M' (Month), '5' (5-minute), '15' (15-minute), '30' (30-minute), '60' (60-minute).
- **retry_count** (integer) - Optional - Number of retries on network errors (default: 3).
- **pause** (integer) - Optional - Seconds to pause between retries (default: 0).

### Response
#### Success Response (200)
- **date** (string) - Date
- **open** (float) - Opening price
- **high** (float) - Highest price
- **close** (float) - Closing price
- **low** (float) - Lowest price
- **volume** (float) - Trading volume
- **price_change** (float) - Price change
- **p_change** (float) - Percentage change
- **ma5** (float) - 5-day moving average
- **ma10** (float) - 10-day moving average
- **ma20** (float) - 20-day moving average
- **v_ma5** (float) - 5-day volume moving average
- **v_ma10** (float) - 10-day volume moving average
- **v_ma20** (float) - 20-day volume moving average
- **turnover** (float) - Turnover rate (not available for indices)

### Request Example
```python
import tushare as ts

ts.get_hist_data('600848')
ts.get_hist_data('600848', start='2015-01-05', end='2015-01-09')
ts.get_hist_data('sh', ktype='W')
```
```

--------------------------------

### Area Classification

Source: https://github.com/waditu/tushare/blob/master/docs/classifying.rst

Classifies stocks by region, indicating which province each stock belongs to. An optional file path can be provided to use a custom stock file.

```APIDOC
## get_area_classified

### Description
Classifies stocks by region, indicating which province each stock belongs to. An optional file path can be provided to use a custom stock file.

### Method
GET

### Endpoint
/classification/area

### Parameters
#### Query Parameters
- **file_path** (string) - Optional - Path to a custom stock file. Defaults to None, using TuShare's provided data.

### Request Example
```python
import tushare as ts

ts.get_area_classified()
```

### Response
#### Success Response (200)
- **code** (string) - Stock code
- **name** (string) - Stock name
- **area** (string) - Region name

#### Response Example
```json
{
  "code": "000668",
  "name": "荣丰控股",
  "area": "上海"
}
```
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.