├── README.md ├── picture1.png ├── 乔丹 ├── NBA数据分析.ipynb ├── playoff.xls └── season.pkl ├── 可转债抢权配售 ├── qqps_data.pkl └── 可转债抢权配售.ipynb ├── 可转债收益分析 ├── data ├── daxin.csv └── 可转债打新收益率分析代码.ipynb ├── 基金定投策略 ├── 1.txt └── 定投代码分享.ipynb ├── 底部二维码1.png └── 拉勾爬虫与分析 ├── lagou.csv ├── 数据分析代码.ipynb └── 爬虫代码.ipynb /README.md: -------------------------------------------------------------------------------- 1 | #

Python数据分析汇总

2 |

3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |

13 | 14 | # 简介 15 | 16 | 为了方便阅读和学习，把公众号文章的代码和数据都整理放到这里，内容主要是一些数据分析以及金融量化研究的相关干货！，内容持续更新呀，感兴趣的小伙伴也可以扫码关注一下 17 | 18 |
19 | 20 |
21 |
22 | 23 | 作者：易执
24 | 微信公众号：「[Python读财](http://mp.weixin.qq.com/s?__biz=MzU2NjQ2ODMxNg==&mid=2247483943&idx=1&sn=06186d031fc901a1a1883d0833488d1f&chksm=fcad4994cbdac08234b9f74a23faed70be80129a7c2f32c043b8ebf87c346824296176922135&scene=18#wechat_redirect)」 25 | 26 |
27 |
28 | 29 | # 项目列表 30 | 31 | 1. **可转债打新收益率分析** 32 | 33 | - 内容：对可转债打新的收益率进行了分析，并从多个维度分析了可转债打新收益率的影响因素，适合于入门金融数据分析。 34 | - 原文链接：《[可转债打新能赚钱吗？Python数据分析告诉你！](https://mp.weixin.qq.com/s/9h65D5hJxw25dbdQti1vxA)》 35 | 36 | - 你能学到：Pandas数据处理、数据分析思路、Seaborn和matplotlib可视化、可转债理财小知识 37 | - 难度：★★★☆☆ 38 | 39 | 2. **可转债抢权配售研究** 40 | 41 | - 内容：取近半年上市共71只可转债为研究样本，对可转债抢权配售行为的可行性进行了详细的分析 42 | - 原文链接：《[Python量化研究——可转债抢权配售值得做吗？](https://mp.weixin.qq.com/s/9h65D5hJxw25dbdQti1vxA)》 43 | 44 | - 你能学到：Pandas数据处理、数据分析思路、Seaborn和matplotlib可视化、可转债理财小知识 45 | - 难度：★★★☆☆ 46 | 47 | 3. **互联网数据分析师岗位分析** 48 | 49 | - 内容：爬虫爬取拉钩数据分析的相关职位，分析了职位的薪水，以及相应的影响因素 50 | - 原文链接：《[互联网寒冬下，数据分析师还吃香吗？](https://mp.weixin.qq.com/s/ta1YEWOn4zwZl8I3KaBAdg)》 51 | 52 | - 你能学到：Pandas数据处理、数据分析思路、Seaborn和matplotlib可视化 53 | - 难度：★★★★☆ 54 | 55 | 4. **NBA数据分析** 56 | 57 | - 内容：爬虫爬取了乔丹的职业生涯数据进行分析 58 | - 原文链接：《[大话NBA | 用数据带你回顾乔丹的职业生涯](https://mp.weixin.qq.com/s/SSFUCBJZrFQ_3IF3tSP21g)》 59 | - 你能学到：Pandas数据处理、数据分析思路、Seaborn和matplotlib可视化 60 | - 难度：★★★★☆ 61 | 62 | 5. **基金定投策略分析** 63 | 64 | - 内容：用数据分析了如何正确选择基金定投的估值区间，并搭建了一个简单的回测框架 65 | - 原文链接：《[基金定投如何选择买卖点？——关于定投的择时研究](https://mp.weixin.qq.com/s/oJX5jFtcVaoYeoFeP2hCgw)》 66 | - 你能学到：Pandas数据处理、数据分析思路、Seaborn和matplotlib可视化、基金理财小知识 67 | - 难度：★★★★☆ 68 | 69 | 70 | -------------------------------------------------------------------------------- /picture1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Harry3W/readata/bd4d2b49bb48a23ee271bf4ae73e06b99cce4193/picture1.png -------------------------------------------------------------------------------- /乔丹/playoff.xls: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Harry3W/readata/bd4d2b49bb48a23ee271bf4ae73e06b99cce4193/乔丹/playoff.xls -------------------------------------------------------------------------------- /乔丹/season.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Harry3W/readata/bd4d2b49bb48a23ee271bf4ae73e06b99cce4193/乔丹/season.pkl -------------------------------------------------------------------------------- /可转债抢权配售/qqps_data.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Harry3W/readata/bd4d2b49bb48a23ee271bf4ae73e06b99cce4193/可转债抢权配售/qqps_data.pkl -------------------------------------------------------------------------------- /可转债抢权配售/可转债抢权配售.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# 关注公众号【Python读财】，选择“星标”公众号，重磅干货，第一时间送达" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "![](https://upload-images.jianshu.io/upload_images/8316927-0fb816f497f6e7f5.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)" 15 | ] 16 | }, 17 | { 18 | "cell_type": "markdown", 19 | "metadata": {}, 20 | "source": [ 21 | "# 导包" 22 | ] 23 | }, 24 | { 25 | "cell_type": "code", 26 | "execution_count": 164, 27 | "metadata": {}, 28 | "outputs": [], 29 | "source": [ 30 | "import pandas as pd\n", 31 | "import numpy as np\n", 32 | "import matplotlib.pyplot as plt\n", 33 | "import tushare as ts\n", 34 | "from tqdm import tqdm_notebook\n", 35 | "import warnings\n", 36 | "import time\n", 37 | "%matplotlib inline\n", 38 | "\n", 39 | "plt.rcParams['font.sans-serif']=['FangSong'] \n", 40 | "plt.rcParams['axes.unicode_minus']=False\n", 41 | "warnings.filterwarnings(\"ignore\")\n", 42 | "pd.set_option(\"display.max_columns\",None)\n", 43 | "pro = ts.pro_api()" 44 | ] 45 | }, 46 | { 47 | "cell_type": "markdown", 48 | "metadata": {}, 49 | "source": [ 50 | "# 数据整理" 51 | ] 52 | }, 53 | { 54 | "cell_type": "code", 55 | "execution_count": 18, 56 | "metadata": {}, 57 | "outputs": [], 58 | "source": [ 59 | "cb_basic_df = pro.cb_basic(fields=\"ts_code,bond_short_name,stk_code,list_date,conv_price\")\n", 60 | "cb_half_year = cb_basic_df[cb_basic_df[\"list_date\"]>=\"2019-09-01\"]\n", 61 | "cb_half_year.sort_values(by=\"list_date\",inplace=True)\n", 62 | "cb_half_year.reset_index(inplace=True,drop=True)\n", 63 | "cb_half_year = cb_half_year.iloc[:len(cb_half_year)-3]\n", 64 | "\n", 65 | "cb_half_year[\"stock_price\"] = np.nan\n", 66 | "cb_half_year[\"cb_price\"] = np.nan\n", 67 | "for i in tqdm_notebook(range(len(cb_half_year))):\n", 68 | " stock_code = cb_half_year.loc[i,\"stk_code\"]\n", 69 | " cb_code = cb_half_year.loc[i,\"ts_code\"]\n", 70 | " date = cb_half_year.loc[i,\"list_date\"].replace(\"-\",\"\")\n", 71 | " cb_half_year.loc[i,\"stock_price\"] = ts.pro_bar(ts_code=stock_code, adj='qfq', start_date=date, end_date=date)[\"close\"].values[0]\n", 72 | " cb_half_year.loc[i,\"cb_price\"] = pro.cb_daily(ts_code=cb_code,trade_date=date)[\"close\"].values[0]\n", 73 | " time.sleep(1)\n", 74 | "\n", 75 | "issue_df = pro.cb_issue(fields=\"onl_name,shd_ration_record_date,shd_ration_pay_date,shd_ration_ratio\").dropna()\n", 76 | "issue_df[\"onl_name\"] = issue_df[\"onl_name\"].map(lambda x: x.replace(\"发债\",\"转债\") if \"发债\" in x else x)\n", 77 | "cb_half_year = cb_half_year.merge(issue_df,how=\"left\",left_on=\"bond_short_name\",right_on=\"onl_name\")\n", 78 | "cb_half_year.drop(columns = [\"onl_name\"],inplace=True)\n", 79 | "\n", 80 | "cb_half_year.iloc[66,[7,8,9]] = [\"20200110\",\"20200113\",1.0870]\n", 81 | "\n", 82 | "cb_half_year[\"shd_ration_ratio\"] = cb_half_year[\"shd_ration_ratio\"].astype(\"float\")\n", 83 | "\n", 84 | "cb_half_year[\"shd_ration_record_date\"] = cb_half_year[\"shd_ration_record_date\"].astype(str)\n", 85 | "cb_half_year[\"shd_ration_pay_date\"] = cb_half_year[\"shd_ration_pay_date\"].astype(str)\n", 86 | "\n", 87 | "cb_half_year.drop(columns=[\"record_date_price\",\"pay_date_price\"],inplace=True)\n", 88 | "\n", 89 | "cb_half_year.dropna(inplace=True)\n", 90 | "\n", 91 | "cb_half_year.reset_index(drop=True,inplace=True)\n", 92 | "\n", 93 | "cb_half_year[\"record_date_price\"] = np.nan\n", 94 | "cb_half_year[\"record_date_price\"] = np.nan\n", 95 | "for i in tqdm_notebook(range(len(cb_half_year))):\n", 96 | " stock_code = cb_half_year.loc[i,\"stk_code\"]\n", 97 | " record_date = cb_half_year.loc[i,\"shd_ration_record_date\"]\n", 98 | " pay_date = cb_half_year.loc[i,\"shd_ration_pay_date\"]\n", 99 | " cb_half_year.loc[i,\"record_date_price\"] = ts.pro_bar(ts_code=stock_code, adj='qfq', start_date=record_date, end_date=record_date)[\"open\"].values[0]\n", 100 | " cb_half_year.loc[i,\"pay_date_price\"] = ts.pro_bar(ts_code=stock_code, adj='qfq', start_date=pay_date, end_date=pay_date)[\"open\"].values[0]\n", 101 | " time.sleep(1)\n", 102 | "\n", 103 | "df_zq = pro.cb_issue(fields=\"ts_code,onl_winning_rate\")\n", 104 | "cb_half_year = cb_half_year.merge(df_zq,how=\"left\",left_on=\"ts_code\",right_on=\"ts_code\")\n", 105 | "\n", 106 | "df = cb_half_year.drop(columns=[\"conv_price\",\"stock_price\",\"shd_ration_record_date\",\"shd_ration_pay_date\"])\n", 107 | "\n", 108 | "df.to_pickle(\"./data/qqps_data.pkl\")" 109 | ] 110 | }, 111 | { 112 | "cell_type": "markdown", 113 | "metadata": {}, 114 | "source": [ 115 | "# 分析" 116 | ] 117 | }, 118 | { 119 | "cell_type": "markdown", 120 | "metadata": {}, 121 | "source": [ 122 | "## 近半年可转债上市首日涨幅" 123 | ] 124 | }, 125 | { 126 | "cell_type": "code", 127 | "execution_count": 238, 128 | "metadata": {}, 129 | "outputs": [ 130 | { 131 | "data": { 132 | "image/png": "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\n", 133 | "text/plain": [ 134 | "
" 135 | ] 136 | }, 137 | "metadata": { 138 | "needs_background": "light" 139 | }, 140 | "output_type": "display_data" 141 | } 142 | ], 143 | "source": [ 144 | "cb_zf = ((cb_half_year[\"cb_price\"]-100)/100).values\n", 145 | "fig,ax = plt.subplots(figsize=(8,6))\n", 146 | "fig.text(x=0.05, y=0.92, s=' 可转债上市首日涨幅（近半年) ', fontsize=32, \n", 147 | " weight='bold', color='white', backgroundcolor='#3c7f99')\n", 148 | "ax.bar(list(range(len(cb_zf))),cb_zf,width=0.3)\n", 149 | "ax.tick_params(axis=\"both\",labelsize=14,length=0)\n", 150 | "ax.hlines(np.mean(cb_zf),xmin=0,xmax=70,linestyles=\"--\",colors=\"r\")\n", 151 | "ax.text(18,0.17,\"均值\",fontdict={'size':16,\"color\":\"red\"})\n", 152 | "ax.hlines(np.median(cb_zf),xmin=0,xmax=70,linestyles=\"--\",colors=\"y\")\n", 153 | "ax.text(16,0.13,\"中位数\",fontdict={'size':16,\"color\":\"y\"})\n", 154 | "ax.margins(0.01,0)\n", 155 | "plt.box(False)" 156 | ] 157 | }, 158 | { 159 | "cell_type": "markdown", 160 | "metadata": {}, 161 | "source": [ 162 | "先来看看可转债近半年来的上市首日涨跌幅状况，上市首日涨幅的均值和中位数均位于15%上下，整体的收益率情况还是比较可观的。另外，图中的样本是按照时间顺序进行排序，所以可以看出最近三个月的整体收益水平优于去年的四季度。乍一看这钱还挺好赚的，但只要有过可转债打新经验的朋友就知道，打新的中签率是很低的。" 163 | ] 164 | }, 165 | { 166 | "cell_type": "markdown", 167 | "metadata": {}, 168 | "source": [ 169 | "## 可转债中签率（单位%）" 170 | ] 171 | }, 172 | { 173 | "cell_type": "code", 174 | "execution_count": 244, 175 | "metadata": {}, 176 | "outputs": [ 177 | { 178 | "data": { 179 | "image/png": "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\n", 180 | "text/plain": [ 181 | "
" 182 | ] 183 | }, 184 | "metadata": { 185 | "needs_background": "light" 186 | }, 187 | "output_type": "display_data" 188 | } 189 | ], 190 | "source": [ 191 | "cb_zql = cb_half_year.onl_winning_rate.values\n", 192 | "mean_cb_zql = np.mean(cb_zql)\n", 193 | "fig,ax = plt.subplots(figsize=(8,6))\n", 194 | "fig.text(x=0.05, y=0.92, s=' 可转债申购中签率（近半年) ', fontsize=32, \n", 195 | " weight='bold', color='white', backgroundcolor='#3c7f99')\n", 196 | "ax.bar(list(range(len(cb_zql))),cb_zql,width=0.3)\n", 197 | "ax.tick_params(axis=\"both\",labelsize=14,length=0)\n", 198 | "ax.margins(0.01,0)\n", 199 | "ax.set_yticklabels([str(np.round(0.05*i,2))+\"%\" for i in range(7)])\n", 200 | "plt.box(False)" 201 | ] 202 | }, 203 | { 204 | "cell_type": "markdown", 205 | "metadata": {}, 206 | "source": [ 207 | "从图中可以看到，中签率并不高，最高的0.3%意味着人均可以中3签，而大多数情况下中签率低于0.05%，即人均中0.5签。而且一般情况下中了的话也就一签，总共1000元，按15%的平均收益水平来算，也就小赚150块。" 208 | ] 209 | }, 210 | { 211 | "cell_type": "markdown", 212 | "metadata": {}, 213 | "source": [ 214 | "受限于较低的中签率，如果想要获得更多的转债博取相应的收益，也就只有抢权配售这条路可以走了，下面就看看抢权配售能够带来多大收益，值不值得参与。" 215 | ] 216 | }, 217 | { 218 | "cell_type": "markdown", 219 | "metadata": {}, 220 | "source": [ 221 | "## 配售收益率、正股波动收益率、总收益率" 222 | ] 223 | }, 224 | { 225 | "cell_type": "markdown", 226 | "metadata": {}, 227 | "source": [ 228 | "一般转债在获得批文后的发行流程为：" 229 | ] 230 | }, 231 | { 232 | "cell_type": "markdown", 233 | "metadata": {}, 234 | "source": [ 235 | "![发行流程.png](https://upload-images.jianshu.io/upload_images/8316927-5cc07cbc2bbd3b1a.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)" 236 | ] 237 | }, 238 | { 239 | "cell_type": "markdown", 240 | "metadata": {}, 241 | "source": [ 242 | "在网上申购之前，股东可以按照其持有的股份按一定比例进行可转债的配售，由于投资者的抢权行为，在股权登记日正股有上涨的动力，而在申购日配售后则则会形成一定抛压，所以将此处的抢权配售策略定义为在股权登记日买入转债对应的正股，并在配售日当天参与网上配售并卖出股票，持股周期为一天，以这两日的开盘价计算收益率。\n", 243 | "\n", 244 | "总而言之，抢权配售时需要承担一天股价波动的风险以博取可转债的收益。\n", 245 | "\n", 246 | "这样一来，抢权配售的总收益率 = 转债收益率 + 持股期间正股收益率\n", 247 | "\n", 248 | "转债收益率和持股期间正股收益率的计算公式如下：\n", 249 | "\n", 250 | "转债收益率 = [每股配售比例/(每股股价+每股配售比例)]*(可转债上市首日收益率)\n", 251 | "\n", 252 | "持股期间正股收益率 = （申购日正股开盘价-股权登记日正股开盘价）/(每股股价+每股配售比例)\n", 253 | "\n", 254 | "按照这样的思路，计算得到抢权配售的收益率情况如下图所示" 255 | ] 256 | }, 257 | { 258 | "cell_type": "code", 259 | "execution_count": 286, 260 | "metadata": {}, 261 | "outputs": [ 262 | { 263 | "data": { 264 | "text/plain": [ 265 | "" 266 | ] 267 | }, 268 | "execution_count": 286, 269 | "metadata": {}, 270 | "output_type": "execute_result" 271 | }, 272 | { 273 | "data": { 274 | "image/png": "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\n", 275 | "text/plain": [ 276 | "
" 277 | ] 278 | }, 279 | "metadata": { 280 | "needs_background": "light" 281 | }, 282 | "output_type": "display_data" 283 | } 284 | ], 285 | "source": [ 286 | "ps_profit_ratio = (cb_half_year[\"shd_ration_ratio\"]/(cb_half_year[\"record_date_price\"]+cb_half_year[\"shd_ration_ratio\"]))*cb_zf\n", 287 | "zg_profit_ratio = (cb_half_year[\"pay_date_price\"]-cb_half_year[\"record_date_price\"])/(cb_half_year[\"record_date_price\"]+cb_half_year[\"shd_ration_ratio\"])\n", 288 | "total_profit_ratio = ps_profit_ratio+zg_profit_ratio\n", 289 | "\n", 290 | "fig,ax = plt.subplots(figsize=(8,6))\n", 291 | "fig.text(x=0.05, y=0.92, s=' 抢权配售收益率 ', fontsize=32, \n", 292 | " weight='bold', color='white', backgroundcolor='#3c7f99')\n", 293 | "mean_list = [np.mean(ps_profit_ratio),np.mean(zg_profit_ratio),np.mean(total_profit_ratio)]\n", 294 | "median_list = [np.median(ps_profit_ratio),np.median(zg_profit_ratio),np.median(zg_profit_ratio)]\n", 295 | "ax.bar([0.8,2.8,4.8],mean_list,width=0.5,label=\"平均值\")\n", 296 | "ax.bar([1.3,3.3,5.3],median_list,width=0.5,label=\"中位数\")\n", 297 | "ax.hlines(0,xmin=0,xmax=6,linestyles=\"dashed\")\n", 298 | "ax.tick_params(axis=\"x\",length=0)\n", 299 | "ax.tick_params(axis=\"both\",labelsize=14)\n", 300 | "ax.set_xticklabels(labels=[\"\",\"转债配售收益率\",\"\",\"期间正股收益率\",\"\",\"抢权配售收益率\"],size=16)\n", 301 | "ax.spines['left'].set_bounds(-0.008, 0.015)\n", 302 | "ax.spines['right'].set_visible(False)\n", 303 | "ax.spines['top'].set_visible(False)\n", 304 | "ax.spines['bottom'].set_visible(False)\n", 305 | "plt.margins(0,0.1)\n", 306 | "plt.legend(fontsize=14)" 307 | ] 308 | }, 309 | { 310 | "cell_type": "markdown", 311 | "metadata": {}, 312 | "source": [ 313 | "从数据结果来看，抢权配售总收益大多不理想，总收益率的均值约为1%，而中位数则为负值，说明某几次收益较高的抢权配售行为拉高了整体收益水平。将总收益率拆分来看，抢权配售的收益率主要被正股所拖累，配售得到的转债收益无法弥补正股的亏损。更进一步的原因可以由下图解释。" 314 | ] 315 | }, 316 | { 317 | "cell_type": "code", 318 | "execution_count": 275, 319 | "metadata": {}, 320 | "outputs": [ 321 | { 322 | "data": { 323 | "text/plain": [ 324 | "([,\n", 325 | " ],\n", 326 | " [Text(-0.3699632377845709, 1.0359185309125218, '转债部分占比'),\n", 327 | " Text(0.36996326203199353, -1.035918522252907, '正股部分占比')],\n", 328 | " [Text(-0.201798129700675, 0.56504647140683, '10.9%'),\n", 329 | " Text(0.2017981429265419, -0.5650464666834037, '89.1%')])" 330 | ] 331 | }, 332 | "execution_count": 275, 333 | "metadata": {}, 334 | "output_type": "execute_result" 335 | }, 336 | { 337 | "data": { 338 | "image/png": "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\n", 339 | "text/plain": [ 340 | "
" 341 | ] 342 | }, 343 | "metadata": {}, 344 | "output_type": "display_data" 345 | } 346 | ], 347 | "source": [ 348 | "cb_ratio = np.mean(cb_half_year[\"shd_ration_ratio\"]/cb_half_year[\"record_date_price\"])\n", 349 | "stock_ratio = 1-cb_ratio\n", 350 | "fig, ax = plt.subplots(figsize=(8,6))\n", 351 | "fig.text(x=0.2, y=0.92, s=' 收益率影响占比 ', fontsize=32, \n", 352 | " weight='bold', color='white', backgroundcolor='#3c7f99')\n", 353 | "ax.pie([cb_ratio,stock_ratio], labels=[\"转债部分占比\",\"正股部分占比\"], autopct='%1.1f%%',\n", 354 | " shadow=True, startangle=90,textprops={\"size\":16})" 355 | ] 356 | }, 357 | { 358 | "cell_type": "markdown", 359 | "metadata": {}, 360 | "source": [ 361 | "从饼图的结果来看，正股损益的影响占抢权配售收益率影响的89.1%。举个例子，假设现在正股每股股价89.1元，每股可以配售10.9元的可转债，假设持有的可转债上市当日的涨跌幅为15%，只要正股次日跌幅为1.84%，可转债所赚取的收益便被正股损益所抹平，而正股次日下跌1.84%的可能性是非常大的。如果算上交易手续费，收益率水平会更低。\n", 362 | "\n", 363 | "所以，从数据的角度来看，参与抢权配售并不是一个比较稳妥的博取收益的方式，还是老老实实参与打新吧。" 364 | ] 365 | }, 366 | { 367 | "cell_type": "markdown", 368 | "metadata": {}, 369 | "source": [ 370 | "![](https://upload-images.jianshu.io/upload_images/8316927-33a33e5473ec8358.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)" 371 | ] 372 | } 373 | ], 374 | "metadata": { 375 | "file_extension": ".py", 376 | "kernelspec": { 377 | "display_name": "Python 3", 378 | "language": "python", 379 | "name": "python3" 380 | }, 381 | "language_info": { 382 | "codemirror_mode": { 383 | "name": "ipython", 384 | "version": 3 385 | }, 386 | "file_extension": ".py", 387 | "mimetype": "text/x-python", 388 | "name": "python", 389 | "nbconvert_exporter": "python", 390 | "pygments_lexer": "ipython3", 391 | "version": "3.7.3" 392 | }, 393 | "mimetype": "text/x-python", 394 | "name": "python", 395 | "npconvert_exporter": "python", 396 | "pygments_lexer": "ipython3", 397 | "toc": { 398 | "base_numbering": 1, 399 | "nav_menu": {}, 400 | "number_sections": true, 401 | "sideBar": true, 402 | "skip_h1_title": false, 403 | "title_cell": "Table of Contents", 404 | "title_sidebar": "Contents", 405 | "toc_cell": false, 406 | "toc_position": {}, 407 | "toc_section_display": true, 408 | "toc_window_display": false 409 | }, 410 | "toc-autonumbering": true, 411 | "toc-showcode": false, 412 | "toc-showtags": false, 413 | "varInspector": { 414 | "cols": { 415 | "lenName": 16, 416 | "lenType": 16, 417 | "lenVar": 40 418 | }, 419 | "kernels_config": { 420 | "python": { 421 | "delete_cmd_postfix": "", 422 | "delete_cmd_prefix": "del ", 423 | "library": "var_list.py", 424 | "varRefreshCmd": "print(var_dic_list())" 425 | }, 426 | "r": { 427 | "delete_cmd_postfix": ") ", 428 | "delete_cmd_prefix": "rm(", 429 | "library": "var_list.r", 430 | "varRefreshCmd": "cat(var_dic_list()) " 431 | } 432 | }, 433 | "types_to_exclude": [ 434 | "module", 435 | "function", 436 | "builtin_function_or_method", 437 | "instance", 438 | "_Feature" 439 | ], 440 | "window_display": false 441 | }, 442 | "version": 3 443 | }, 444 | "nbformat": 4, 445 | "nbformat_minor": 4 446 | } 447 | -------------------------------------------------------------------------------- /可转债收益分析/data: -------------------------------------------------------------------------------- 1 | 123 2 | -------------------------------------------------------------------------------- /可转债收益分析/daxin.csv: -------------------------------------------------------------------------------- 1 | ,ts_code,stk_code,list_date,industry,market,total_mv,profit,year,month 2 | 0,128024.SZ,002142.SZ,2018-01-12,银行,中小板,938.40744966,0.115,2018,1 3 | 1,123003.SZ,300433.SZ,2018-01-17,元器件,创业板,708.78664329,-0.04989999999999995,2018,1 4 | 2,128026.SZ,002772.SZ,2018-01-03,种植业,中小板,41.402375410000005,0.0025,2018,1 5 | 3,128027.SZ,002815.SZ,2018-01-22,元器件,中小板,121.77,0.07,2018,1 6 | 4,113503.SH,603738.SH,2018-01-02,元器件,主板,27.330131599999998,0.08,2018,1 7 | 5,123004.SZ,300197.SZ,2018-01-26,环境保护,创业板,170.20120488,0.07,2018,1 8 | 6,123005.SZ,300168.SZ,2018-01-30,软件服务,创业板,145.89819384,0.15,2018,1 9 | 7,123006.SZ,300059.SZ,2018-01-29,证券,创业板,689.63577865,0.25,2018,1 10 | 8,128028.SZ,002460.SZ,2018-01-19,小金属,中小板,440.38966770999997,0.0,2018,1 11 | 9,128029.SZ,002078.SZ,2018-01-16,造纸,中小板,277.92513750999996,0.13,2018,1 12 | 10,128030.SZ,002100.SZ,2018-01-29,饲料,中小板,80.24993785,0.08099999999999995,2018,1 13 | 11,110041.SH,600863.SH,2018-01-09,火力发电,主板,174.81312450000001,0.04019999999999996,2018,1 14 | 12,128032.SZ,002472.SZ,2018-01-25,机械基件,中小板,62.898008,0.03510000000000005,2018,1 15 | 13,110042.SH,600372.SH,2018-01-15,航空,主板,236.95924775,0.03,2018,1 16 | 14,113017.SH,601929.SH,2018-01-15,影视音像,主板,91.45755503999999,0.024000000000000056,2018,1 17 | 15,128033.SZ,002658.SZ,2018-01-29,环境保护,中小板,74.40027936,0.032999999999999974,2018,1 18 | 16,123007.SZ,300409.SZ,2018-01-26,陶瓷,创业板,106.0165,0.18,2018,1 19 | 17,113018.SH,601128.SH,2018-02-06,银行,主板,174.03959997,0.06,2018,2 20 | 18,128034.SZ,002807.SZ,2018-02-14,银行,中小板,134.14219494,-0.010100000000000052,2018,2 21 | 19,110043.SH,600908.SH,2018-03-14,银行,主板,144.52257845,-0.0012000000000000454,2018,3 22 | 20,123008.SZ,300601.SZ,2018-03-19,生物制药,创业板,235.418378,0.20120000000000005,2018,3 23 | 21,128035.SZ,002008.SZ,2018-03-05,电器仪表,中小板,598.62360245,0.12,2018,3 24 | 22,113019.SH,601966.SH,2018-03-22,汽车配件,主板,218.88,0.03200000000000003,2018,3 25 | 23,113504.SH,603989.SH,2018-03-23,元器件,主板,109.56,0.08,2018,3 26 | 24,113505.SH,603618.SH,2018-03-27,电气设备,主板,47.66939622,0.005,2018,3 27 | 25,123009.SZ,300568.SZ,2018-04-10,化工原料,创业板,64.032,0.22,2018,4 28 | 26,128036.SZ,002548.SZ,2018-04-02,饲料,中小板,35.23783769,0.01,2018,4 29 | 27,127005.SZ,000783.SZ,2018-04-11,证券,主板,397.56872605,0.08,2018,4 30 | 28,127006.SZ,000623.SZ,2018-05-11,化学制药,主板,234.29814734,0.05,2018,5 31 | 29,128037.SZ,002542.SZ,2018-04-25,建筑工程,中小板,133.8329,-0.035,2018,4 32 | 30,128038.SZ,002131.SZ,2018-04-19,互联网,中小板,144.72567428,-0.01,2018,4 33 | 31,113506.SH,603421.SH,2018-05-14,通信设备,主板,102.09150720000001,0.08900000000000005,2018,5 34 | 32,113507.SH,603668.SH,2018-05-07,饲料,主板,30.54072,-0.03,2018,5 35 | 33,113508.SH,603225.SH,2018-05-16,化纤,主板,181.37056,0.0,2018,5 36 | 34,113509.SH,603179.SH,2018-06-22,汽车配件,主板,52.955191799999994,-0.033499999999999946,2018,6 37 | 35,128039.SZ,002224.SZ,2018-06-29,橡胶,中小板,39.2207156,-0.08530000000000001,2018,6 38 | 36,128040.SZ,002758.SZ,2018-07-13,医药商业,中小板,21.273,-0.02,2018,7 39 | 37,113510.SH,603601.SH,2018-07-13,玻璃,主板,49.19567052,-0.007000000000000029,2018,7 40 | 38,113511.SH,603027.SH,2018-07-10,食品,主板,70.21721208000001,-0.025,2018,7 41 | 39,110044.SH,600831.SH,2018-07-24,影视音像,主板,37.1450161,-0.04,2018,7 42 | 40,127007.SZ,000665.SZ,2018-08-01,影视音像,主板,53.8239961,-0.06349999999999995,2018,8 43 | 41,123010.SZ,300422.SZ,2018-08-14,环境保护,创业板,48.746693910000005,-0.011200000000000045,2018,8 44 | 42,113512.SH,603228.SH,2018-07-24,元器件,主板,231.5808,0.18,2018,7 45 | 43,113513.SH,603345.SH,2018-07-31,食品,主板,85.076552,0.12,2018,7 46 | 44,110045.SH,600398.SH,2018-07-31,服饰,主板,521.60919498,-0.01,2018,7 47 | 45,128041.SZ,002446.SZ,2018-08-14,通信设备,中小板,51.97591973,-0.01,2018,8 48 | 46,123011.SZ,300473.SZ,2018-08-14,汽车配件,创业板,35.546896000000004,-0.019500000000000028,2018,8 49 | 47,113514.SH,603023.SH,2018-08-13,汽车配件,主板,21.24,0.018900000000000007,2018,8 50 | 48,123012.SZ,300057.SZ,2018-08-29,广告包装,创业板,25.41262434,-0.07489999999999995,2018,8 51 | 49,113515.SH,603588.SH,2018-08-27,环境保护,主板,60.391815,-0.02019999999999996,2018,8 52 | 50,123013.SZ,300539.SZ,2018-08-20,塑料,创业板,17.1589,-0.07,2018,8 53 | 51,123014.SZ,300407.SZ,2018-08-21,电气设备,创业板,19.48479,-0.09900000000000006,2018,8 54 | 52,128042.SZ,002823.SZ,2018-09-03,机械基件,中小板,33.135873769999996,-0.07,2018,9 55 | 53,128043.SZ,002793.SZ,2018-08-27,专用机械,中小板,24.84,-0.045,2018,8 56 | 54,113516.SH,603323.SH,2018-08-20,银行,主板,88.62276075,-0.027999999999999973,2018,8 57 | 55,113517.SH,603019.SH,2018-08-23,IT设备,主板,332.44339249,0.010999999999999944,2018,8 58 | 56,123015.SZ,300297.SZ,2018-09-13,软件服务,创业板,84.13443233000001,-0.044500000000000026,2018,9 59 | 57,128044.SZ,002717.SZ,2018-09-04,环境保护,中小板,97.24144233999999,-0.039000000000000055,2018,9 60 | 58,128045.SZ,002013.SZ,2018-09-14,航空,中小板,296.26879679999996,0.16120000000000004,2018,9 61 | 59,113518.SH,603816.SH,2018-10-09,家居用品,主板,195.71734339999998,-0.01,2018,10 62 | 60,128046.SZ,002258.SZ,2018-11-09,农药化肥,中小板,91.50309374000001,0.00025999999999996246,2018,11 63 | 61,128047.SZ,002179.SZ,2018-12-07,元器件,中小板,312.10528269,0.06609999999999999,2018,12 64 | 62,123016.SZ,300232.SZ,2018-12-03,半导体,创业板,74.45128335,0.01,2018,12 65 | 63,113519.SH,603569.SH,2018-11-30,仓储物流,主板,66.641666,0.00519999999999996,2018,11 66 | 64,113520.SH,603313.SH,2018-11-26,家居用品,主板,45.888,0.03,2018,11 67 | 65,128048.SZ,002839.SZ,2018-11-29,银行,中小板,106.82482590000001,0.040499999999999974,2018,11 68 | 66,127008.SZ,000070.SZ,2018-12-25,通信设备,主板,46.14681331,0.027999999999999973,2018,12 69 | 67,113521.SH,603626.SH,2018-12-07,专用机械,主板,36.072065980000005,-0.01989999999999995,2018,12 70 | 68,113020.SH,601233.SH,2018-12-12,化纤,主板,204.6030805,-0.0007999999999999829,2018,12 71 | 69,123017.SZ,300618.SZ,2018-12-24,小金属,创业板,147.8016,-0.02950000000000003,2018,12 72 | 70,110046.SH,600233.SH,2018-12-18,仓储物流,主板,290.15405025999996,0.010100000000000052,2018,12 73 | 71,110047.SH,600567.SH,2018-12-10,造纸,主板,144.88979003,0.0,2018,12 74 | 72,113522.SH,603305.SH,2018-12-11,汽车配件,主板,130.195,0.10030000000000001,2018,12 75 | 73,128049.SZ,002787.SZ,2018-12-20,广告包装,中小板,21.666703260000002,-0.03560000000000002,2018,12 76 | 74,110048.SH,600483.SH,2018-12-28,火力发电,主板,131.90517379000002,0.04,2018,12 77 | 75,113523.SH,603568.SH,2018-12-26,环境保护,主板,160.44484269999998,0.0,2018,12 78 | 76,128050.SZ,002865.SZ,2018-12-27,汽车配件,中小板,22.316112,-0.02769999999999996,2018,12 79 | 77,113524.SH,603677.SH,2019-01-07,机械基件,主板,27.323745150000004,-0.03810000000000002,2019,1 80 | 78,128051.SZ,002741.SZ,2019-01-09,化工原料,中小板,57.406697609999995,-0.03498999999999995,2019,1 81 | 79,113525.SH,603055.SH,2019-01-11,纺织,主板,58.75748000000001,-0.0009999999999999432,2019,1 82 | 80,110049.SH,600690.SH,2019-01-18,家用电器,主板,964.17828838,0.10700000000000003,2019,1 83 | 81,110050.SH,600728.SH,2019-01-21,软件服务,主板,131.60762082,0.035,2019,1 84 | 82,123018.SZ,300381.SZ,2019-01-23,生物制药,创业板,32.499753739999996,0.0,2019,1 85 | 83,128052.SZ,002783.SZ,2019-01-21,化工原料,中小板,26.343132,0.06,2019,1 86 | 84,127009.SZ,000811.SZ,2019-02-21,工程机械,主板,37.81183534,0.12099999999999994,2019,2 87 | 85,127010.SZ,000001.SZ,2019-02-18,银行,主板,1950.55873118,0.14,2019,2 88 | 86,113526.SH,603797.SH,2019-02-18,环境保护,主板,26.411492,0.037000000000000026,2019,2 89 | 87,113527.SH,603518.SH,2019-02-19,服饰,主板,27.173375949999997,0.06299999999999997,2019,2 90 | 88,128053.SZ,002551.SZ,2019-03-07,医疗保健,中小板,43.55513529,0.22219999999999998,2019,3 91 | 89,128054.SZ,002891.SZ,2019-03-14,饲料,中小板,38.44,0.0975,2019,3 92 | 90,123019.SZ,300393.SZ,2019-03-22,塑料,创业板,57.115739399999995,0.1475,2019,3 93 | 91,128055.SZ,002391.SZ,2019-04-03,农药化肥,中小板,52.05359886,0.25,2019,4 94 | 92,128056.SZ,002863.SZ,2019-03-22,汽车配件,中小板,27.224565000000002,0.09,2019,3 95 | 93,110051.SH,600522.SH,2019-03-22,通信设备,主板,310.28653913,0.11810000000000002,2019,3 96 | 94,113528.SH,603897.SH,2019-03-20,电气设备,主板,46.00936,0.135,2019,3 97 | 95,123020.SZ,300497.SZ,2019-03-29,化学制药,创业板,50.284752000000005,0.2,2019,3 98 | 96,113021.SH,601998.SH,2019-03-19,银行,主板,3131.82698067,0.07650000000000005,2019,3 99 | 97,123021.SZ,300168.SZ,2019-03-25,软件服务,创业板,167.99591233,0.15,2019,3 100 | 98,110052.SH,600996.SH,2019-03-29,影视音像,主板,106.8632652,0.19989999999999994,2019,3 101 | 99,128057.SZ,002649.SZ,2019-04-02,软件服务,中小板,52.601809259999996,0.15,2019,4 102 | 100,128058.SZ,002139.SZ,2019-04-08,元器件,中小板,63.58850353,0.2,2019,4 103 | 101,127011.SZ,000887.SZ,2019-04-04,橡胶,主板,158.21828431,0.2,2019,4 104 | 102,128059.SZ,002841.SZ,2019-04-02,元器件,中小板,523.36458132,0.17,2019,4 105 | 103,113529.SH,603517.SH,2019-04-02,食品,主板,209.92,0.25599999999999995,2019,4 106 | 104,113022.SH,601878.SH,2019-03-28,证券,主板,357.33334048,0.06,2019,3 107 | 105,110053.SH,600919.SH,2019-04-03,银行,主板,836.972625,0.09,2019,4 108 | 106,110055.SH,600197.SH,2019-04-04,白酒,主板,95.7852,0.25,2019,4 109 | 107,110054.SH,600438.SH,2019-04-10,饲料,主板,513.6378447100001,0.18,2019,4 110 | 108,123022.SZ,300088.SZ,2019-04-10,元器件,创业板,142.07077250999998,0.12209999999999993,2019,4 111 | 109,110056.SH,600487.SH,2019-04-16,通信设备,主板,424.71230689000004,0.09,2019,4 112 | 110,123023.SZ,300335.SZ,2019-04-16,供气供热,创业板,30.158373200000003,0.08010000000000005,2019,4 113 | 111,123024.SZ,300700.SZ,2019-04-17,矿物制品,创业板,22.66,0.085,2019,4 114 | 112,127012.SZ,001965.SZ,2019-04-30,路桥,主板,516.49848115,-0.009899999999999949,2019,4 115 | 113,128060.SZ,002822.SZ,2019-04-15,装修装饰,中小板,37.02,0.07,2019,4 116 | 114,128061.SZ,002439.SZ,2019-04-24,软件服务,中小板,257.97845728000004,0.12,2019,4 117 | 115,113530.SH,603081.SH,2019-04-18,专用机械,主板,61.4754,0.03170000000000002,2019,4 118 | 116,113531.SH,603883.SH,2019-04-22,医药商业,主板,161.59246035,0.09879999999999996,2019,4 119 | 117,123025.SZ,300567.SZ,2019-04-19,电器仪表,创业板,128.7805794,0.12,2019,4 120 | 118,110057.SH,600420.SH,2019-04-30,化学制药,主板,105.93955505999999,0.04,2019,4 121 | 119,128062.SZ,002370.SZ,2019-04-24,化学制药,中小板,95.49601317,0.08,2019,4 122 | 120,113532.SH,603817.SH,2019-04-24,环境保护,主板,36.54,0.050900000000000035,2019,4 123 | 121,113533.SH,603233.SH,2019-04-24,医药商业,主板,185.52463799999998,0.06,2019,4 124 | 122,128063.SZ,002631.SZ,2019-04-24,家居用品,中小板,77.27209620000001,0.15,2019,4 125 | 123,128064.SZ,002538.SZ,2019-05-07,农药化肥,中小板,41.148292219999995,-0.025,2019,5 126 | 124,113024.SH,601611.SH,2019-04-26,建筑工程,主板,229.6875,0.03,2019,4 127 | 125,113534.SH,603876.SH,2019-04-30,铝,主板,72.068,-0.03,2019,4 128 | 126,113025.SH,601677.SH,2019-05-07,铝,主板,58.16181452,-0.02530000000000001,2019,5 129 | 127,113026.SH,601985.SH,2019-05-08,新型电力,主板,874.777166,0.03,2019,5 130 | 128,127013.SZ,000810.SZ,2019-05-16,家用电器,主板,102.36204258,-0.0009999999999999432,2019,5 131 | 129,128065.SZ,002497.SZ,2019-05-10,化工原料,中小板,64.992,-0.04998999999999995,2019,5 132 | 130,110058.SH,600105.SH,2019-05-08,通信设备,主板,65.27872209,-0.05,2019,5 133 | 131,128066.SZ,002811.SZ,2019-05-14,装修装饰,中小板,26.478,-0.011099999999999994,2019,5 134 | 132,128067.SZ,002727.SZ,2019-05-17,医药商业,中小板,170.89871311000002,0.19989000000000004,2019,5 135 | 133,113535.SH,603278.SH,2019-06-03,钢加工,主板,37.57464288,0.10099999999999994,2019,6 136 | 134,113536.SH,603578.SH,2019-06-24,玻璃,主板,17.83836,0.02,2019,6 137 | 135,128068.SZ,002402.SZ,2019-07-01,元器件,中小板,83.23386402999999,0.02,2019,7 138 | 136,113537.SH,603348.SH,2019-07-05,汽车配件,主板,43.934,0.021200000000000045,2019,7 139 | 137,123026.SZ,300692.SZ,2019-07-01,环境保护,创业板,23.3127285,0.12989999999999996,2019,7 140 | 138,123027.SZ,300487.SZ,2019-07-04,化工原料,创业板,64.31772375,0.09200000000000003,2019,7 141 | 139,113027.SH,601020.SH,2019-07-10,铅锌,主板,55.37898639,0.03,2019,7 142 | 140,113028.SH,601200.SH,2019-07-08,环境保护,主板,118.45592426,0.20200000000000004,2019,7 143 | 141,123028.SZ,300437.SZ,2019-07-15,化工原料,创业板,28.0762047,0.030999999999999944,2019,7 144 | 142,128069.SZ,002907.SZ,2019-07-11,化学制药,中小板,68.650296,-0.0010999999999999942,2019,7 145 | 143,113538.SH,603658.SH,2019-07-22,医疗保健,主板,294.336,0.12120000000000004,2019,7 146 | 144,128070.SZ,002877.SZ,2019-07-23,电器仪表,中小板,27.962644479999998,-0.01900000000000006,2019,7 147 | 145,113539.SH,603079.SH,2019-07-26,食品,主板,38.304,0.08,2019,7 148 | 146,113540.SH,603636.SH,2019-08-05,软件服务,主板,48.71831366,0.004099999999999966,2019,8 149 | 147,113541.SH,603165.SH,2019-08-13,造纸,主板,30.504544,0.00010000000000005117,2019,8 150 | 148,113542.SH,603898.SH,2019-08-23,家居用品,主板,46.99738413,0.03879999999999995,2019,8 151 | 149,113543.SH,603833.SH,2019-09-04,家居用品,主板,504.18784204,0.2364,2019,9 152 | 150,123029.SZ,300677.SZ,2019-09-10,医疗保健,创业板,33.65094893,0.19,2019,9 153 | 151,128071.SZ,002228.SZ,2019-09-16,广告包装,中小板,48.768856729999996,0.045190000000000057,2019,9 154 | 152,128072.SZ,002842.SZ,2019-09-16,小金属,中小板,44.10101696,0.10099999999999994,2019,9 155 | 153,123030.SZ,300040.SZ,2019-09-12,电气设备,创业板,20.85634584,0.12299999999999997,2019,9 156 | 154,128073.SZ,002615.SZ,2019-09-11,家居用品,中小板,24.70608,0.11,2019,9 157 | 155,123031.SZ,300655.SZ,2019-09-26,化工原料,创业板,30.981756939999997,0.16950000000000004,2019,9 158 | 156,113544.SH,603866.SH,2019-10-15,食品,主板,318.63262704,0.14010000000000006,2019,10 159 | 157,128074.SZ,002174.SZ,2019-10-21,互联网,中小板,149.26260266,0.10010000000000005,2019,10 160 | 158,128075.SZ,002406.SZ,2019-10-31,汽车配件,中小板,29.733,0.05,2019,10 161 | 159,123032.SZ,300591.SZ,2019-10-31,服饰,创业板,17.5344,0.03128,2019,10 162 | 160,113545.SH,603113.SH,2019-11-07,化工原料,主板,70.36529727,0.012000000000000028,2019,11 163 | 161,128076.SZ,002722.SZ,2019-11-08,纺织机械,中小板,26.249794679999997,0.07,2019,11 164 | 162,128077.SZ,002928.SZ,2019-11-07,空运,中小板,69.146325,0.16200000000000003,2019,11 165 | 163,128079.SZ,002846.SZ,2019-11-21,广告包装,中小板,26.88465408,0.059899999999999946,2019,11 166 | 164,128078.SZ,002368.SZ,2019-11-08,软件服务,中小板,140.71585759,0.175,2019,11 167 | 165,113546.SH,603320.SH,2019-11-21,机械基件,主板,16.07,0.02,2019,11 168 | 166,113547.SH,603612.SH,2019-11-22,矿物制品,主板,34.204166289999996,0.031099999999999996,2019,11 169 | 167,127014.SZ,000065.SZ,2019-11-21,建筑工程,主板,61.1756801,0.07,2019,11 170 | 168,110059.SH,600000.SH,2019-11-15,银行,主板,3566.27776824,0.035,2019,11 171 | 169,110060.SH,600326.SH,2019-11-28,水泥,主板,59.27883894,0.06489999999999994,2019,11 172 | 170,113548.SH,603688.SH,2019-11-22,矿物制品,主板,50.86432728,0.10099999999999994,2019,11 173 | 171,123033.SZ,300748.SZ,2019-11-25,元器件,创业板,166.85800228,0.13,2019,11 174 | 172,123034.SZ,300265.SZ,2019-11-28,电气设备,创业板,26.08875,0.030999999999999944,2019,11 175 | 173,110061.SH,600674.SH,2019-12-02,水力发电,主板,426.56741251,0.15549999999999997,2019,12 176 | 174,123035.SZ,300296.SZ,2019-12-09,半导体,创业板,162.23552555,0.09,2019,12 177 | 175,113549.SH,603861.SH,2019-12-11,电气设备,主板,38.05256056,0.08,2019,12 178 | 176,113550.SH,603035.SH,2019-12-12,汽车配件,主板,28.308,0.08,2019,12 179 | 177,113551.SH,603806.SH,2019-12-11,塑料,主板,229.4214,0.195,2019,12 180 | 178,128080.SZ,002352.SZ,2019-12-09,仓储物流,中小板,1616.17966552,0.15,2019,12 181 | 179,128081.SZ,002203.SZ,2019-12-16,铜,中小板,192.28258205,0.09997,2019,12 182 | 180,113552.SH,603960.SH,2019-12-19,专用机械,主板,55.065608,0.21209999999999993,2019,12 183 | 181,110062.SH,600498.SH,2019-12-25,通信设备,主板,316.16585118,0.20299999999999996,2019,12 184 | 182,128083.SZ,002376.SZ,2019-12-31,IT设备,中小板,80.55120063999999,0.18,2019,12 185 | -------------------------------------------------------------------------------- /基金定投策略/1.txt: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /底部二维码1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Harry3W/readata/bd4d2b49bb48a23ee271bf4ae73e06b99cce4193/底部二维码1.png -------------------------------------------------------------------------------- /拉勾爬虫与分析/爬虫代码.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": null, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "import requests\n", 10 | "import time\n", 11 | "import random\n", 12 | "import pymongo\n", 13 | "\n", 14 | "client = pymongo.MongoClient(host = \"127.0.0.1\",port=27017)\n", 15 | "db = client[\"spider\"]\n", 16 | "collection = db[\"lagou\"]" 17 | ] 18 | }, 19 | { 20 | "cell_type": "code", 21 | "execution_count": null, 22 | "metadata": {}, 23 | "outputs": [], 24 | "source": [ 25 | "def get_cookie():\n", 26 | " headers = {\n", 27 | " 'Connection': 'keep-alive',\n", 28 | " 'Cache-Control': 'max-age=0',\n", 29 | " 'Upgrade-Insecure-Requests': '1',\n", 30 | " 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.80 Safari/537.36',\n", 31 | " 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8',\n", 32 | " 'Accept-Encoding': 'gzip, deflate, br',\n", 33 | " 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',\n", 34 | "}\n", 35 | " response = requests.get(\n", 36 | " 'https://www.lagou.com/jobs/list_?city=%E4%B8%8A%E6%B5%B7&cl=false&fromSearch=true&labelWords=&suginput=',\n", 37 | " headers=headers) # 请求原网页\n", 38 | " r = requests.utils.dict_from_cookiejar(response.cookies) # 获取cookies\n", 39 | "\n", 40 | " cookies = {\n", 41 | " 'X_MIDDLE_TOKEN': '797bc148d133274a162ba797a6875817',\n", 42 | " 'JSESSIONID': 'ABAAABAAAIAACBI03F33A375F98E05C5108D4D742A34114',\n", 43 | " '_ga': 'GA1.2.1912257997.1548059451',\n", 44 | " '_gat': '1',\n", 45 | " 'Hm_lvt_4233e74dff0ae5bd0a3d81c6ccf756e6': '1548059451',\n", 46 | " 'user_trace_token': '20190121163050-dbd72da2-1d56-11e9-8927-525400f775ce',\n", 47 | " 'LGSID': '20190121163050-dbd72f67-1d56-11e9-8927-525400f775ce',\n", 48 | " 'PRE_UTM': '',\n", 49 | " 'PRE_HOST': '',\n", 50 | " 'PRE_SITE': '',\n", 51 | " 'PRE_LAND': 'https%3A%2F%2Fwww.lagou.com%2F%3F_from_mid%3D1',\n", 52 | " 'LGUID': '20190121163050-dbd73128-1d56-11e9-8927-525400f775ce',\n", 53 | " '_gid': 'GA1.2.1194828713.1548059451',\n", 54 | " 'index_location_city': '%E5%85%A8%E5%9B%BD',\n", 55 | " 'TG-TRACK-CODE': 'index_hotjob',\n", 56 | " 'LGRID': '20190121163142-fb0cc9c0-1d56-11e9-8928-525400f775ce',\n", 57 | " 'Hm_lpvt_4233e74dff0ae5bd0a3d81c6ccf756e6': '1548059503',\n", 58 | " 'SEARCH_ID': '86ed37f5d8da417dafb53aa25cd6fbc0',\n", 59 | " }\n", 60 | " cookies.update(r) # 更新接口的cookies\n", 61 | " return cookies\n", 62 | "\n", 63 | "def crawl(city = \"\", pn = 1, cookies = None):\n", 64 | " headers = {\n", 65 | " 'Origin': 'https://www.lagou.com',\n", 66 | " 'X-Anit-Forge-Code': '0',\n", 67 | " 'Accept-Encoding': 'gzip, deflate, br',\n", 68 | " 'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',\n", 69 | " 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.80 Safari/537.36',\n", 70 | " 'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',\n", 71 | " 'Accept': 'application/json, text/javascript, */*; q=0.01',\n", 72 | " 'Referer': 'https://www.lagou.com/jobs/list_java?px=new&city=%E4%B8%8A%E6%B5%B7',\n", 73 | " 'X-Requested-With': 'XMLHttpRequest',\n", 74 | " 'Connection': 'keep-alive',\n", 75 | " 'X-Anit-Forge-Token': 'None',\n", 76 | " }\n", 77 | "\n", 78 | " params = (\n", 79 | " ('px', 'default'),\n", 80 | " ('city',city),\n", 81 | " ('needAddtionalResult', 'false'),\n", 82 | " )\n", 83 | "\n", 84 | " data = {\"first\":\"true\",\n", 85 | " 'kd': '数据分析',\n", 86 | " 'pn': pn}\n", 87 | " if pn>1:\n", 88 | " data[\"first\"] = \"false\"\n", 89 | " response = requests.post('https://www.lagou.com/jobs/positionAjax.json', headers=headers, params=params,\n", 90 | " cookies=cookies, data=data) # 请求接口\n", 91 | " return response.json()" 92 | ] 93 | }, 94 | { 95 | "cell_type": "code", 96 | "execution_count": null, 97 | "metadata": {}, 98 | "outputs": [], 99 | "source": [ 100 | "city_list = [\"北京\",\"上海\",\"深圳\",\"广州\",\"杭州\",\"成都\",\"南京\",\"武汉\",\"西安\",\"厦门\",\"长沙\",\"苏州\",\"天津\"]\n", 101 | "\n", 102 | "for city in city_list:\n", 103 | " print(\"*\"*60)\n", 104 | " print(\"{city} start\".format(city=city))\n", 105 | " for i in range(1,31):\n", 106 | " if (i-1)%5==0:\n", 107 | " cookies = get_cookie()\n", 108 | " time.sleep(random.random()+random.randint(1,2))\n", 109 | " response_json = crawl(city=city,pn=i,cookies=cookies)\n", 110 | " try:\n", 111 | " position_list = response_json[\"content\"][ 'positionResult'][\"result\"]\n", 112 | " except:\n", 113 | " print(response_json)\n", 114 | " if len(position_list)<1: \n", 115 | " print(\"{city} start\".format(city=city))\n", 116 | " print(\"*\"*60)\n", 117 | " break\n", 118 | " collection.insert_many(position_list)\n", 119 | " print(cookies)\n", 120 | " print(\"{city} end\".format(city=city))\n", 121 | " print(\"*\"*60)" 122 | ] 123 | } 124 | ], 125 | "metadata": { 126 | "kernelspec": { 127 | "display_name": "Python 3", 128 | "language": "python", 129 | "name": "python3" 130 | }, 131 | "language_info": { 132 | "codemirror_mode": { 133 | "name": "ipython", 134 | "version": 3 135 | }, 136 | "file_extension": ".py", 137 | "mimetype": "text/x-python", 138 | "name": "python", 139 | "nbconvert_exporter": "python", 140 | "pygments_lexer": "ipython3", 141 | "version": "3.7.3" 142 | }, 143 | "toc": { 144 | "base_numbering": 1, 145 | "nav_menu": {}, 146 | "number_sections": true, 147 | "sideBar": true, 148 | "skip_h1_title": false, 149 | "title_cell": "Table of Contents", 150 | "title_sidebar": "Contents", 151 | "toc_cell": false, 152 | "toc_position": {}, 153 | "toc_section_display": true, 154 | "toc_window_display": false 155 | }, 156 | "varInspector": { 157 | "cols": { 158 | "lenName": 16, 159 | "lenType": 16, 160 | "lenVar": 40 161 | }, 162 | "kernels_config": { 163 | "python": { 164 | "delete_cmd_postfix": "", 165 | "delete_cmd_prefix": "del ", 166 | "library": "var_list.py", 167 | "varRefreshCmd": "print(var_dic_list())" 168 | }, 169 | "r": { 170 | "delete_cmd_postfix": ") ", 171 | "delete_cmd_prefix": "rm(", 172 | "library": "var_list.r", 173 | "varRefreshCmd": "cat(var_dic_list()) " 174 | } 175 | }, 176 | "types_to_exclude": [ 177 | "module", 178 | "function", 179 | "builtin_function_or_method", 180 | "instance", 181 | "_Feature" 182 | ], 183 | "window_display": false 184 | } 185 | }, 186 | "nbformat": 4, 187 | "nbformat_minor": 2 188 | } 189 | --------------------------------------------------------------------------------