Python stock_zh_index_daily_em示例

示例#1

def index_price_daily(code: str, source: str = None) -> dict:
    if source == 'tx':
        df = ak.stock_zh_index_daily_tx(symbol=code)
    elif source == 'em':
        df = ak.stock_zh_index_daily_em(symbol=code)
    else:
        df = ak.stock_zh_index_daily(symbol=code)
    df['date'] = pd.to_datetime(df['date'])
    df = df.rename({'date': '_id'}, axis=1)
    print(df)
    return json.loads(df.T.to_json())      # use default date_format='epoch' instead of 'iso'

示例#2

    def get_index_price_25(self, code):
        # newest_data
        df = ak.stock_zh_index_spot()
        # print(df)
        newest_data = float(
            pd.to_numeric(df.loc[df[u'代码'] == code, '最新价']).astype('float'))

        # history_data
        history_data = ak.stock_zh_index_daily_em(symbol=code)
        #print(original_data)
        return (newest_data, history_data.iloc[-25, 2])

示例#3

 def index_price_daily(code: str, source: str = None) -> pd.DataFrame:
     if source == 'tx':
         df = ak.stock_zh_index_daily_tx(symbol=code)
     elif source == 'em':
         df = ak.stock_zh_index_daily_em(symbol=code)
     else:
         df = ak.stock_zh_index_daily(symbol=code)
     df['date'] = pd.to_datetime(df['date'])
     df = df.rename({'date': '_id'}, axis=1)
     print(df)
     return df

示例#4

文件： indices.py 项目： williamsyb/Sniper

 def load_fund_price(self, code):
     """
     历史行情数据-东方财富
     目标地址: http://quote.eastmoney.com/center/hszs.html
     描述: 东方财富股票指数数据, 历史数据按日频率更新
     限量: 单次返回具体指数的所有历史行情数据
     输入参数
     名称	类型	必选	描述
     symbol	str	Y	symbol="sz399552"
     :param code:
     :return:
     """
     df = ak.stock_zh_index_daily_em(symbol="sz399812")
     return df

示例#5

文件： 3.py 项目： wangqifan/timeseries

def draw(len):
    stock_zh_index_daily_em_df = ak.stock_zh_index_daily_em(symbol="sh000300")
    data = stock_zh_index_daily_em_df[-1000:]
    last_k = data["close"]
    last_ten = stock_zh_index_daily_em_df[-len:]["close"]
    last_ten = last_ten / last_ten.max()
    min = 1000000
    index = 0
    for i in range(450):
        temp = last_k[i:i+len]
        temp = temp / temp.max()
        current_dist = DtwDist(temp.values, last_ten.values)
        if current_dist < min :
            min = current_dist
            index = i
        
    print(data[index:index+len])
    plt.plot(stock_zh_index_daily_em_df[-len:]["close"].values, label='The last 10 days')
    plt.plot(data[index:index + len + 20]["close"].values, label='Match')
    plt.legend()
    plt.show()

示例#6

文件： fund_crawl_Jensen.py 项目： AimingSpringJungle/JensenTValueCNFunds

import akshare as ak
import pandas as pd
import numpy as np
import random
import time
import os

code_num = 50
minYears = 2  # 最小年份
index_code = 'sh000300'  # 指数

codes = pd.read_excel('fund_codes.xlsx', index_col=0, dtype={'基金代码':
                                                             'object'})['基金代码']

# 获取指数组合index_code的收益率数据
df_M = ak.stock_zh_index_daily_em(symbol=index_code)
df_M['updown'] = 0.0
for index, row in df_M.iterrows():
    if index > 0:
        df_M['updown'][index] = (float(row['close']) - float(
            df_M['close'][index - 1])) / float(df_M['close'][index - 1])
df_M = df_M[['date', 'updown']]

# 获取最新Shibor作为无风险收益率
df_rf = ak.rate_interbank(market="上海银行同业拆借市场",
                          symbol="Shibor人民币",
                          indicator="3月",
                          need_page="1")
print('无风险利率:' + str(df_rf['利率(%)'][0]) + '%\n')
rf = np.power(1 + df_rf['利率(%)'][0] / 100, 1 / 360) - 1  # 转为日利率

示例#7

文件： index_spot.py 项目： tianzhuzhu/mystock

def query_his_index_by_code(code='sz399812') -> pd.DataFrame:
    stock_zh_index_daily_em_df = ak.stock_zh_index_daily_em(symbol=code)
    stock_zh_index_daily_em_df['code'] = code
    stock_zh_index_daily_em_df.rename(columns={'代码': 'code'}, inplace=True)
    return stock_zh_index_daily_em_df