yfinance使用指南 - 不知名站点

yfinance库无法直接使用，但是可以将库更新到最新然后来开代理来下载数据。

如果Linux上代理存在困难，可以用在windows上做好数据上传到服务器使用。

## 更新
`pip install yfinance --upgrade --no-cache-dir`

## 代理
1.在Windows平台，可以自动识别系统代理。
2.在Linux平台，手动设置代理即可。
```python
proxy = 'http://172.22.9.223:7890'
os.environ['HTTP_PROXY'] = proxy 
os.environ['HTTPS_PROXY'] = proxy 
```

## 数据下载代码
```python
import yfinance as yf
import pandas as pd

# 股票列表
stock_list = [
    "AXP", "AMGN", "AAPL", "BA", "CAT", "CSCO", "CVX", "GS", "HD", "HON",
    "IBM", "INTC", "JNJ", "KO", "JPM", "MCD", "MMM", "MRK", "MSFT", "NKE",
    "PG", "TRV", "UNH", "CRM", "VZ", "V", "WBA", "WMT", "DIS", "DOW"
]

# 时间范围
start_date = '2008-01-01'
end_date = '2021-10-31'
all_data = []

for stock in stock_list:
    df = yf.download(stock, start=start_date, end=end_date)
    df.columns = [col[0] for col in df.columns]
    df = df.reset_index()
    df.columns = [col.lower() for col in df.columns]
    df['tic'] = stock
    all_data.append(df)

result = pd.concat(all_data, axis=0)
print(result.head())

```