zhoujie
800883b6ec
- Implemented a function to fetch futures data from the API with error handling and response validation. - Added example usage for fetching and saving K-line data to CSV. - Updated CSV files with new data entries for specified date ranges. - Enhanced the structure of the data retrieval function to include parameters for depth and adjust type.
229 lines
8.0 KiB
Plaintext
229 lines
8.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"from ssquant.SQDATA import TakeData\n",
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"\n",
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"#注意首先需要pip install ssquant\n",
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"#否则链接不到数据库\n",
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"#输入俱乐部的账号密码即可调用，注意保密。\n",
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"#目前数据是2019年1月-至今\n",
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"#每日下午收盘后3点30分录入当天数据。\n",
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"#有任何疑问可以再群里提出，或者私信我(慕金龙)\n",
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"#官网: quant789.com\n",
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"#公众号：松鼠Quant\n",
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"#客服微信: viquant01\n",
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"\n",
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"#只能调取分钟及以上数据，tick数据每月底更新到百度网盘下载\n",
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"\n",
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"'''\n",
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"获取数据-\n",
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"品种:symbol,不区分大小写\n",
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"起始时间:start_date,\n",
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"结束时间:end_date(包含当天),\n",
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"周期kline_period:1M..5M..NM(分钟),1D(天),1W(周),1Y(月)\n",
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"复权adjust_type:0(不复权)1(后复权)\n",
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"注意：\n",
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"1.请正确输入账号密码\n",
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"2.不要挂代理访问数据库\n",
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"3.暂时没有股指数据，下个月补齐。\n",
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"'''\n",
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" \n",
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"# username='俱乐部账号' password='密码'\n",
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"client = TakeData(username='77777@qq.com', password='7777')\n",
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"data = client.get_data(\n",
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" symbol='rb888',\n",
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" start_date='2023-01-02',\n",
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" end_date='2024-01-03',\n",
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" kline_period='60M',\n",
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" adjust_type=1\n",
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")\n",
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"print(data)\n",
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"\n",
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"\n",
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"\n",
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"'''\n",
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"datetime:时间,\n",
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"\n",
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"symbol:品种,\n",
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"\n",
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"open:开盘价,\n",
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"\n",
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"high:最高价,\n",
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"\n",
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"low:最低价,\n",
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"\n",
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"close:收盘价,\n",
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"\n",
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"volume:成交量(单bar),\n",
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"\n",
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"amount:成交金额(单bar),\n",
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"\n",
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"openint:持仓量(单bar),\n",
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"\n",
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"cumulative_openint:累计持仓量，\n",
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"\n",
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"open_bidp , open_askp: K线第一个价格的买一价格和卖一价格\n",
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"\n",
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"close_bidp , close_askp: K线最后一个价格的买一价格和卖一价格\n",
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"\n",
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"\n",
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" datetime symbol open high low close volume amount cumulative_openint openint open_bidp open_askp close_bidp close_askp\n",
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"0 2023-01-03 10:00:00 rb2305 4081.0 4081.0 4016.0 4037.0 737537 29782187220 1883481 -48415 4081.0 4084.0 4037.0 4038.0\n",
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"1 2023-01-03 11:00:00 rb2305 4038.0 4056.0 4037.0 4042.0 158548 6415696920 1887716 4235 4037.0 4038.0 4042.0 4044.0\n",
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"2 2023-01-03 12:00:00 rb2305 4044.0 4054.0 4037.0 4051.0 67448 2728130300 1890125 2409 4043.0 4044.0 4050.0 4051.0\n",
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"3 2023-01-03 14:00:00 rb2305 4055.0 4065.0 4045.0 4058.0 110181 4469698600 1895841 5723 4050.0 4051.0 4058.0 4059.0\n",
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"4 2023-01-03 15:00:00 rb2305 4059.0 4074.0 4056.0 4063.0 167932 6824213940 1882723 -13125 4058.0 4059.0 4062.0 4063.0\n",
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"... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n",
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"1689 2024-01-03 12:00:00 rb2405 4055.0 4057.0 4044.0 4049.0 79745 3229361570 1597387 -6515 4054.0 4055.0 4049.0 4050.0\n",
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"1690 2024-01-03 14:00:00 rb2405 4050.0 4056.0 4046.0 4049.0 55040 2229498750 1598566 1179 4050.0 4051.0 4049.0 4050.0\n",
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"1691 2024-01-03 15:00:00 rb2405 4050.0 4064.0 4048.0 4055.0 148845 6038835190 1583796 -14770 4049.0 4050.0 4055.0 4056.0\n",
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"1692 2024-01-03 22:00:00 rb2405 4054.0 4054.0 4040.0 4049.0 181753 7354584770 1582419 990 4053.0 4054.0 4048.0 4049.0\n",
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"1693 2024-01-03 23:00:00 rb2405 4049.0 4057.0 4042.0 4049.0 104712 4240341050 1574287 -8132 4048.0 4049.0 4049.0 4050.0"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'ssquant.SQDATA'",
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"output_type": "error",
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"traceback": [
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"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
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"\u001b[31mModuleNotFoundError\u001b[39m Traceback (most recent call last)",
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"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mssquant\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mSQDATA\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m TakeData\n",
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"\u001b[31mModuleNotFoundError\u001b[39m: No module named 'ssquant.SQDATA'"
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]
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}
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],
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"source": [
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"from ssquant.SQDATA import TakeData"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"out_path = r'D:/data'\n",
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"symbol_name = 'rb888' #主力连续888 次主力合约777\n",
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"time_period = '1M'\n",
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"start_time = '2000-01-01'\n",
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"end_time = '2019-01-31'\n",
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"adjust_k = 'Faj' #Naj:Non adjust,Faj:Forward adjust,后复权\n",
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"\n",
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"if adjust_k == 'Naj':\n",
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" adjust_tmp = 0\n",
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"elif adjust_k == 'Faj':\n",
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" adjust_tmp = 1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"client = TakeData(username='240884432@qq.com', password='Zj123!@#')\n",
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"data = client.get_data(\n",
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" symbol=symbol_name,\n",
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" start_date=start_time,\n",
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" end_date=end_time,\n",
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" kline_period=time_period,\n",
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" adjust_type= adjust_tmp\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print('头部文件为：--------------------')\n",
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"data.head()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from datetime import datetime\n",
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" \n",
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"# 假设你有一个字符串，表示时间，格式为 'YYYY-MM-DD HH:MM:SS'\n",
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"real_start_time = data.iloc[0,0]\n",
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" \n",
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"# 使用datetime.strptime将字符串转换为时间\n",
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"time_obj = datetime.strptime(real_start_time, '%Y-%m-%d %H:%M:%S')\n",
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" \n",
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"# 获取年月日\n",
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"year = time_obj.year\n",
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"month = time_obj.month\n",
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"day = time_obj.day\n",
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" \n",
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"print(f'年: {year}, 月: {month}, 日: {day}')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"print('尾部文件为：--------------------')\n",
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"data.tail()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import datetime\n",
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"real_start_time = pd.to_datetime(data.iloc[0,0]).date().strftime('%Y-%m-%d')\n",
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"real_end_time = pd.to_datetime(data.iloc[-1,0]).date().strftime('%Y-%m-%d')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"data.to_csv('%s/%s_%s_%s(%s_%s).csv'%(out_path,symbol_name,time_period,adjust_k,real_start_time,real_end_time), index=False)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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