# for 循环 for i in range(0, 5): print(i) # while 循环 count = 0 while count < 5: print(count) count += 1函数函数是可重用的代码块,可以接受输入参数并返回结果。定义函数使用 def 关键字。def add(x, y): return x + y result = add(3, 4) print(result)...
下载彩色图像 我们还提供了一个 PDF 文件,其中包含本书中使用的屏幕截图/图表的彩色图像。您可以在此处下载:static.packt-cdn.com/downloads/9781838989354_ColorImages.pdf。 使用的约定 本书中使用了许多文本约定。 CodeInText:表示文本中的代码词、数据库表名、文件夹名称、文件名、文件扩展名、路径名、虚拟 URL...
# -*- coding: utf-8 -*-# @Time : 2019/3/5 16:23# @Author : Arron Zhang# @Email : 549144697@qq.com# @File : Simulation of Stock Market.py# @Software: PyCharmimportmathimportmatplotlib.pyplotaspltfromnumpyimportrandomimportnumpyasnpimportpandasaspdfromitertoolsimportchainfrommathimporte,log...
klt=freq)forstock_code,dfinstocks_df.items():# 现在的时间now=str(datetime.today()).split('....
def get_stock_data(id, scale, data_len): ''' symnol = scale = 5,15,30,60 时间间隔 datalen = 获取数据长度,最大1023 ''' # 拼接API的url url = 'http://quotes.sina.cn/cn/api/json_v2.php/CN_MarketDataService.getKLineData?symbol={0}&scale={1}&datalen={2}'.format( ...
Stock market or equity market is primarily known for trading stocks or equities, other financial securities such as exchange traded funds (ETF), corporate bonds and derivatives based on stocks, commodities, currencies, and bonds.What is U.S. stock and non U.S. stock?
sns.jointplot(stock['Daily Return'],stock['Daily Return'],alpha=0.2) 皮尔森相关系数 多只股票相关性计算 stock_lis=['300113','300343','300295','300315`] #随便选取了四支互联网相关的股票 df=pd.DataFrame() for stock in stock_lis: closing_df = ts.get_hist_data(stock,start,end)['close'...
for stocks: from mstarpy import search_filter filter_stock = search_filter(pattern = '', asset_type ='stock') print(filter_stock) ['debtEquityRatio', 'DividendYield', 'epsGrowth3YYear1', 'EquityStyleBox', 'GBRReturnM0', 'GBRReturnM12', 'GBRReturnM36', 'GBRReturnM60', 'GBRReturnM120...
sns.jointplot(stock['Daily Return'],stock['Daily Return'],alpha=0.2) 皮尔森相关系数 多只股票相关性计算 stock_lis=['300113','300343','300295','300315`] #随便选取了四支互联网相关的股票 df=pd.DataFrame() for stock in stock_lis: closing_df = ts.get_hist_data(stock,start,end)['close'...
from urllib import request import json import pandas as pd def get_stock_data(id, scale, data_len): ''' symnol = 股票代码 scale = 5,15,30,60 时间间隔 datalen = 获取数据长度,最大1023 ''' # 拼接API的url url = 'http://quotes.sina.cn/cn/api/json_v2.php/CN_MarketDataService.ge...