Python 读取股市行情信息

在股票市场的金融数据方面,可以利用以下组件获得数据来源

1.国内需要利用akshare组件包来处理,官方网址

https://www.akshare.xyz

简单实例如下

import akshare as ak
stock_us_daily_df = ak.stock_us_daily(symbol="AAPL", adjust="")
print(stock_us_daily_df)

 

2.利用pandas组件包

官方网址

https://pandas.pydata.org/

这个组件在境外比较好用,国内读取股市信息可能需要VPN

import investpy
import matplotlib as mp
import pandas as pd


a=pd.Series(['1a','2a','3a','4a','5a'],index=[1,2,3,4,5])
###
'''
df = investpy.get_stock_historical_data(stock='AAPL',
                                        country='United States',
                                        from_date='01/01/2010',
                                        to_date='01/01/2020')
print(df.head())
###
'''

print(a)

 

3.

官方网址

https://www.tushare.pro/

实例如下：

import tushare as ts

ts.set_token('28d80dc9f7e55b29af68e245c8f68ce1a7a163ca05691b12c04d00aa')
pro = ts.pro_api('28d80dc9f7e55b29af68e245c8f68ce1a7a163ca05691b12c04d00aa')
df = pro.query('trade_cal', exchange='', start_date='20180901', end_date='20181001', fields='exchange,cal_date,is_open,pretrade_date', is_open='0')
df = pro.trade_cal(exchange='', start_date='20180901', end_date='20181001', fields='exchange,cal_date,is_open,pretrade_date', is_open='0')

df = pro.stock_basic(**{
    "ts_code": '000100.SZ',
    "name": "TCL",
    "exchange": "SZSE",
    "market": "",
    "is_hs": "",
    "list_status": "",
    "limit": "",
    "offset": ""
}, fields=[
    "ts_code",
    "symbol",
    "name",
    "area",
    "industry",
    "market",
    "list_date",
    "fullname",
    "enname",
    "cnspell",
    "exchange",
    "curr_type",
    "list_status",
    "delist_date",
    "is_hs"
])
print(df)