Files
quant/code/Untitled2.ipynb
2019-11-21 12:02:03 +08:00

130 lines
40 KiB
Plaintext

{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import random\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1604.8379034318823\n"
]
},
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x16ec73bbb38>"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 1152x216 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA68AAADTCAYAAABukCXOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xt0nFd97//31t26WfJFtmRZdkIcyzaE2FGccCnkApRCSArlEsqBBCgpp6UUWjiUcH6FlrIO6xxKD4cChwDh8isFQtoe+HFSIOQKNKHYDkkT3+PEtmLHlm3Zuti6zGj//phH8siRbdkaaUbS+7WW1szsZ88ze1Yey/n4u/d+QowRSZIkSZIKWVG+ByBJkiRJ0tkYXiVJkiRJBc/wKkmSJEkqeIZXSZIkSVLBM7xKkiRJkgqe4VWSJEmSVPAMr5IkSZKkgmd4lSRJkiQVPMOrJEmSJKngleR7AGezYMGCuHz58nwPQ5IkSZKUYxs3bjwUY1w4nr4FH16XL1/Ohg0b8j0MSZIkSVKOhRB2j7ev04YlSZIkSQXP8CpJkiRJKniGV0mSJElSwSv4Na9jGRwcpL29nb6+vnwPZUpVVFTQ3NxMaWlpvociSZIkSVNqWobX9vZ2ampqWL58OSGEfA9nSsQYOXz4MO3t7VxwwQX5Ho4kSZKkAtWfSvOrXUe4d+tBrrxwHq9+fmO+h5QT0zK89vX1zargChBCYP78+XR0dOR7KJIkSZIKzLPH+rhv20Hu3XqQX+48xPGBNOUlRSyoLsv30HJmWoZXYFYF12Gz8TtLkiRJeq70UOQ3e49y39ZMYN28vwuAJXVzeMO6JVzbuogXPW8+FaXFeR5p7kzb8CpJkiRJs8mx44M8sKOD+7Ye5IHtHRzpHaC4KHBZSz0feXUr17Q2cPGi6hlb9DK8ToHq6mp6enryPQxJkiRJ00iMke0Herh360Hu23qQjXs6SQ9F6itLuWplA1e3NvDyFQuZWzk7NnQ1vEqSJElSgTgxkOahXYeSwNrBM0dPALCmqZb//PLncXVrA5curaO4aGZWV89k2ofXv/r/nmDzvq6cnnN1Uy0ff92a0x7/yEc+wrJly/ijP/ojAD7xiU8QQuDBBx+ks7OTwcFB/uZv/oYbbrhh1Pvuv/9+PvOZz/CjH/0IgPe97320tbVx8803s3HjRv7sz/6Mnp4eFixYwDe+8Q0aG2fGrmCSJEmSTq+98/jI2tV/e/Iw/akhKsuKeelFC/iTay7iqpUNLJ5bke9h5t20D6/5cOONN/KBD3xgJLzecccd/PjHP+aDH/wgtbW1HDp0iCuvvJLrr79+XPPNBwcH+ZM/+RN+8IMfsHDhQr73ve/xsY99jNtvv32yv4okSZKkKZZKD7Fxdyf3bstMB95+ILPEcPn8Sn7/ihauaW1g/QXzKC+ZOZst5cJZw2sI4XbgOuBgjPH5SdsngPcAw/dtuTXGeFdy7KPAu4E08P4Y40+S9lcDnwOKga/GGD+diy9wpgrpZFm7di0HDx5k3759dHR0UF9fT2NjIx/84Ad58MEHKSoq4plnnuHAgQMsXrz4rOfbtm0bjz/+OK985SsBSKfTVl0lSZKkGeRwTz8PbO/g3q0HeXB7B119KUqKAusvmMeb25ZyTWsDFy6szvcwC9p4Kq/fAP4e+NYp7X8XY/xMdkMIYTVwI7AGaAJ+FkK4ODn8BeCVQDvw6xDCD2OMmycw9rx64xvfyJ133smzzz7LjTfeyLe//W06OjrYuHEjpaWlLF++nL6+vlHvKSkpYWhoaOT18PEYI2vWrOGhhx6a0u8gSZIkaXLEGHliX1dmOvC2g/xm71FihAXV5fz2msVc09rAS1csoKZidmy2lAtnDa8xxgdDCMvHeb4bgO/GGPuBp0IIO4H1ybGdMcZdACGE7yZ9p214vfHGG3nPe97DoUOHeOCBB7jjjjtoaGigtLSU++67j927dz/nPcuWLWPz5s309/fT19fHPffcw0tf+lJWrlxJR0cHDz30EC960YsYHBxk+/btrFkz9VVlSZIkSeentz/FL3Ye4r6tB7lv20EOdPUD8MLmufzptSu4prWB5zfNpWgWbraUCxNZ8/q+EMI7gA3An8cYO4ElwMNZfdqTNoC9p7RfcboThxBuAW4BaGlpmcAQJ8+aNWvo7u5myZIlNDY28ra3vY3Xve51tLW1cemll9La2vqc9yxdupQ3v/nNXHLJJaxYsYK1a9cCUFZWxp133sn73/9+jh07RiqV4gMf+IDhVZIkSSpwTx/qzewMvO0gv9p1hIH0EDXlJbzs4oWZW9lcvJCFNeX5HuaMEGKMZ++Uqbz+KGvN6yLgEBCBTwKNMcZ3hRC+ADwUY/yHpN/XgLuAIuC3Y4x/kLS/HVgfY/yTs312W1tb3LBhw6i2LVu2sGrVqvF+xxllNn93SZIkKd8GUkP8+ukjI/de3XWoF4CLGqq5prWBq1c20La8ntLiojyPdHoIIWyMMbaNp+95VV5jjAeyPuwrwI+Sl+3A0qyuzcC+5Pnp2iVJkiSpYB3s6uO+bZlb2fxixyF6B9KUlRTxogvnc9OLl3P1ygZa5lfme5gz3nmF1xBCY4xxf/Ly9cDjyfMfAv8YQvgsmQ2bVgD/DgRgRQjhAuAZMps6/f5EBi5JkiRJk2FoKPJo+9GRzZYef6YLgMa5FdywdgnXrGzgxRfNp7LMO49OpfHcKuc7wFXAghBCO/Bx4KoQwqVkpg0/DfwhQIzxiRDCHWQ2YkoBfxxjTCfneR/wEzK3yrk9xvjERAYeYxzXPVRnkvFM8ZYkSZJ07rr6Bvn59kPcu/Ug9287yOHeAYoCrGup58O/vZJrWhtoXVwz6zJIIRnPbsNvHaP5a2fo/yngU2O030Vm/euEVVRUcPjwYebPnz9rLp4YI4cPH6aioiLfQ5EkSZKmvRgjT3b0cO/WzHTgDU93khqK1FWW8vKLF3L1ysxmS/VVZfkeqhLTss7d3NxMe3s7HR0d+R7KlKqoqKC5uTnfw5AkSZKmpb7BNA/vOjwyHXjvkRMAtC6u4ZaXXcg1rQ1curSOEjdbKkjTMryWlpZywQUX5HsYkiRJkgrcvqMnRqYC/3LnYU4MpqkoLeKlFy3gvS9/HlevbKCpbk6+h6lxmJbhVZIkSZLGkkoP8cjeoyO3stn6bDcAS+fN4c1tzVzd2sCVF86norQ4zyPVuTK8SpIkSZrWOnsHeGB7B/duPciDOzo4enyQkqJA2/J6bn1NK9e0NvC8hdWzZr+cmcrwKkmSJGlaiTGyZX/3yL1XH9nTyVCE+VVlXNu6iGtaG/itixdQW1Ga76EqhwyvkiRJkgre8YEUv9x5eGT96v5jfQC8YMlc3nfNCq5pbeCSJXMpKrK6OlMZXiVJkiQVpD2Hj3Pv1gPcu62Dh3cdZiA1RFVZMb+1YiEffEUDV61cSEOtt5KcLQyvkiRJkqbMiYE0R44PcKRnIPPY28+R3kE6ewc43DtAZ2+m/dljfew5chyACxdU8fYrl3FNawOXL59HWYm3spmNDK+SJEmSzkt6KHL0+ABHejM/ncdPBtCTQXSQI739dPYOcri3n77BoTHPVVwUqK8sZV5VGfWVZTx/SS03v3g517Q2sHxB1RR/MxUiw6skSZIkYowcH0iPBNHh6mhnVjjNPtbZO8DRE4PEOPb5qstLqK8qZV5VOQury1m5qJZ5yet5VaXUV5YxvzoTVOdXlVNTUeJ6VZ2R4VWSJEmagVLpITqPD45ZFR3VlhVQ+1NjV0VLigL1VWXMT6qiqxbXZiqkw21VZcyrLGNeVVnSXkp5ifdRVW4ZXiVJkqQCF2Okpz81MvV2dOgcHFk3eqS3fySwHjsxeNrz1VSUjATNxrkVrGk6GUbnDQfR6sxjfVUZtRUl3iNVeWd4lSRJkqbYQGqIo8dHb1B06tTc7IDa2TvIQHrsqmhpcUiCaGY6blPdnJFq6KiqaBJG6yrL3PBI05LhVZIkScqhvsE0//r4fg509Y/auOhw78npud19qdO+f+6c0pGqaHN9JS9srksqoifXi86rKk+qoqVUl1sV1exgeJUkSZJyZOPuI3z4+4+x61AvAGUlRSPrROdXl9EyrzJrXWjZqGP1lWXUV5ZSUmxVVBqL4VWSJEmaoL7BNH/702189RdP0TR3Dt9813raltVTWVZsVVTKkbOG1xDC7cB1wMEY4/OTtv8BvA4YAJ4E3hljPBpCWA5sAbYlb384xvje5D2XAd8A5gB3AX8a4+k21pYkSZKmh+xq69uuaOGjr1lFdbk1IinXxjMn4RvAq09puxt4fozxEmA78NGsY0/GGC9Nft6b1f4l4BZgRfJz6jklSZKkaaNvMM2n/u9m3vi/H6I/NcS3/+AKPvX6FxhcpUly1j9ZMcYHk4pqdttPs14+DLzxTOcIITQCtTHGh5LX3wJ+F/jXcxyvJEmSlHcbd3fy4TsfZVeH1VZpquTiT9i7gO9lvb4ghPAI0AX81xjjz4ElQHtWn/akbUwhhFvIVGlpaWnJwRAlSZKkiesbTPPZu7fz1Z/vonHuHL79B1fwkosW5HtY0qwwofAaQvgYkAK+nTTtB1pijIeTNa7/J4SwBhhrlfpp17vGGG8DbgNoa2tzXawkSZLybtOeTj70/Uy19fevaOFWq63SlDrvP20hhJvIbOR07fDGSzHGfqA/eb4xhPAkcDGZSmtz1tubgX3n+9mSJEnSVDm12voP776Cl66w2ipNtfMKryGEVwMfAV4eYzye1b4QOBJjTIcQLiSzMdOuGOOREEJ3COFK4FfAO4DPT3z4kiRJ0uSx2ioVjvHcKuc7wFXAghBCO/BxMrsLlwN3J/etGr4lzsuAvw4hpIA08N4Y45HkVP+Zk7fK+VfcrEmSJEkFqm8wzd/dvZ2vWG2VCkYo9FuttrW1xQ0bNuR7GJIkSZolNu3p5MPff5QnO3p56/oWbn1NKzUVpfkeljQjhRA2xhjbxtPXOQ+SJEkSSbX1Z9v5yoO7WFxbwf/77vX81oqF+R6WpIThVZIkSbPeI8naVqutUuEyvEqSJGnWstoqTR+GV0mSJM1Kj+zp5MN3PsbOgz28df1Sbn3NKqutUgEzvEqSJGlWObXa+q13redlF1ttlQqd4VWSJEmzxm/2HuVD33+UnQd7uPHypdz62lXUWm2VpgXDqyRJkma8vsE0//NnO7jtwSdZVFvBN9+1npdbbZWmFcOrJEmSZrTf7D3Kh7//KDustkrTmuFVkiRJM1LfYJrP3bODLz9gtVWaCQyvkiRJmnEeTda27jjYw1valvKx66y2StOd4VWSJEkzRn8qs7Z1uNr6jXdezlUrG/I9LEk5YHiVJEnSjGC1VZrZDK+SJEma1vpTaT73sx18+cFdNNSUW22VZijDqyRJkqat7Grrm9ua+a/XrbbaKs1QhldJkiRNO/2pNP/rnh387wd2sbC6nK+/83KuttoqzWiGV0mSJE0rj7Vnqq3bD2SqrR977WrmzrHaKs10RePpFEK4PYRwMITweFbbvBDC3SGEHcljfdIeQgj/K4SwM4TwWAhhXdZ7bkr67wgh3JT7ryNJkqSZqj+V5n/8ZCuv/+K/0XUixdffeTn//Y0vNLhKs8S4wivwDeDVp7T9BXBPjHEFcE/yGuB3gBXJzy3AlyATdoGPA1cA64GPDwdeSZIk6Uweaz/K9Z//JV+470nesHYJP/ngy5wmLM0y45o2HGN8MISw/JTmG4CrkuffBO4HPpK0fyvGGIGHQwh1IYTGpO/dMcYjACGEu8kE4u9M6BtIkiRpxspe27qguoyv33w5V7caWqXZaCJrXhfFGPcDxBj3hxCGf4ssAfZm9WtP2k7X/hwhhFvIVG1paWmZwBAlSZI0Xf1H+zE+9P1H2Xagmzde1sz/c51rW6XZbDI2bApjtMUztD+3McbbgNsA2traxuwjSZKkmak/lebz9+zkSw88abVV0oiJhNcDIYTGpOraCBxM2tuBpVn9moF9SftVp7TfP4HPlyRJ0gxjtVXS6Yx3w6ax/BAY3jH4JuAHWe3vSHYdvhI4lkwv/gnwqhBCfbJR06uSNkmSJM1y/ak0f/vTbfzuF3/J0RMD3H5zG595kzsJSzppXJXXEMJ3yFRNF4QQ2snsGvxp4I4QwruBPcCbku53Aa8BdgLHgXcCxBiPhBA+Cfw66ffXw5s3SZIkafZ6/Jlj/PkdmWrr761r5i+vW83cSkOrpNFCZlPgwtXW1hY3bNiQ72FIkiQpxwZSQ3z+3h188f7M2tb/9oYXcE3ronwPS9IUCiFsjDG2jafvZGzYJEmSJJ3R489k1rZufdZqq6TxMbxKkiRpymRXW+dXlXH7zW1WWyWNi+FVkiRJUyK72vqGdUv4+HVrrLZKGjfDqyRJkibVQGqIv793B19Iqq1fu6mNa1dZbZV0bgyvkiRJmjRWWyXliuFVkiRJOTeQGuLv79vJF+/bybyqMr76jjZesdpqq6TzZ3iVJElSTj2x7xgf+v5jbNnfxRvWLuEvX7eausqyfA9L0jRneJUkSVJOZFdb6622Ssoxw6skSZImzGqrpMlmeJUkSdJ5G0gN8YX7dvKFpNr6lXe08UqrrZImgeFVkiRJ5yW72vr6tUv4uNVWSZPI8CpJkqRzMpAa4ov37+Tv77XaKmnqGF4lSZI0blZbJeWL4VWSJElnNZjOrG212iopXwyvkiRJOqPN+7r40PcfZfP+Ln730iY+cf0aq62Sptx5h9cQwkrge1lNFwJ/CdQB7wE6kvZbY4x3Je/5KPBuIA28P8b4k/P9fEmSJE2u7GprXWUZt739Ml61ZnG+hyVpljrv8Bpj3AZcChBCKAaeAf4FeCfwdzHGz2T3DyGsBm4E1gBNwM9CCBfHGNPnOwZJkiRNjuxq6w2XNvGJ162hvspqq6T8ydW04WuBJ2OMu0MIp+tzA/DdGGM/8FQIYSewHngoR2OQJEnSBHX1DfL1XzzN5+/dQV1lGV9++2X8ttVWSQUgV+H1RuA7Wa/fF0J4B7AB+PMYYyewBHg4q0970vYcIYRbgFsAWlpacjRESZIkZRsaiuw61MOm3UfZtKeTTXs62XGwhxix2iqp4Ew4vIYQyoDrgY8mTV8CPgnE5PFvgXcBY5Vk41jnjDHeBtwG0NbWNmYfSZIknZtjJwZ5dO9wUD3Kb/Z00tWXAmDunFLWttTx2hc08ZKL5tO2fF6eRytJo+Wi8vo7wKYY4wGA4UeAEMJXgB8lL9uBpVnvawb25eDzJUmSdIqhocjOjh427e7kkT2ZwLqzI1NVDQFWLqrhtZc0sbaljnUt9Vy4oIqiotMu/5KkvMtFeH0rWVOGQwiNMcb9ycvXA48nz38I/GMI4bNkNmxaAfx7Dj5fkiRp1jt2fJBH9mYqqo/s6eQ3e47S3Z+pqtZVlrJ2aR3Xv7CJdcvquaR5LjUVpXkesSSdmwmF1xBCJfBK4A+zmv97COFSMlOCnx4+FmN8IoRwB7AZSAF/7E7DkiRJ5y49FNl5sCcz/Xd3Zq3qkx29ABQFuHhRDa+7tIl1LfWsa6njggVVnGFTTUmaFkKMhb2ktK2tLW7YsCHfw5AkScqbo8cHeGTvUR7ZnamsPrr3ZFW1vrKUtUlIXddSzyVL66guz9WenJI0uUIIG2OMbePp6282SZKkApIeimw/0D2yTnXTnk52ZVVVWxfXcv1wVXVZPcvnV1pVlTQrGF4lSZLyqLN3ILNWdfdRHtnbyaN7j9GTVFXnVZWxrqWO31vXzNqWOl7YXEeVVVVJs5S//SRJkqZIeiiy7dnukYrqb/YcZdehTFW1uCjQuriG169dMrID8DKrqpI0wvAqSZI0SY70DvBIElQ37T7Ko+1HOT6Q2a9yflUZa1vqeWNbc2atavNcKsv8XzNJOh1/Q0qSJOVAKj3E1me7szZW6uTpw8eBTFV1VWMNb7ysOdkBuJ6l8+ZYVZWkc2B4lSRJOg+He/rZlGyq9MieTh5rPzZSVV1QnamqvuXyFta11HFJcx1zyorzPGJJmt4Mr5IkSWcxXFUdvq/qI3uPsjupqpYUBVY31fKmy5pZtyxTVW2ut6oqSblmeJUkSTrFoZ5+NiX3VN20p5P/aD/GicFMVXVhTTnrWup46/oW1rXU84Ilc62qStIUMLxKkqRZbTA9xNb9J3cA3rSnk71HTgCZquqaplrecvnSkR2ArapKUn4YXiVJ0qxysLtv5J6qj+w+ymPPHKVvcAiAhppy1rXU8/Yrl7GupZ7nL5lLRalVVUkqBIZXSZI0Yw2khtiyvyvZVCkzBbi9M1NVLS0OrG6aOzL9d92yeprmVlhVlaQCZXiVJEkzQoyR/cf6eKz9KJv2HB3ZAbg/lamqLqrNVFVvetFy1i2rY02TVVVJmk4Mr5IkadpJpYd4sqOXzfuPsXlfF0/s62Lz/i6OHh8EoKy4iDVLannbFctYtyyzVrWpbk6eRy1JmgjDqyRJKmi9/Sm2PtvF5iSgPrGvi63PdjOQVFTLSopoXVzDq9csZnVTLWua5rKmqdaqqiTNMIZXSZJUMA52940KqVv2dfHU4V5izByfO6eUNU21vOPKZaxZUsvqxrlcuLCK0uKi/A5ckjTpDK+SJGnKDQ1Fnj7cOxJShwNrR3f/SJ/m+jmsbqzlhkuXsLqpltVNtW6oJEmz2ITDawjhaaAbSAOpGGNbCGEe8D1gOfA08OYYY2fI/G3zOeA1wHHg5hjjpomOQZIkFa6+wTTbD3SPCqlb9ndxfCANZO6lelFDNb+1YgFrmuayurGW1Y21zK0szfPIJUmFJFeV16tjjIeyXv8FcE+M8dMhhL9IXn8E+B1gRfJzBfCl5FGSJM0Anb0DbN6fvT71GE929JIeysz7rS4vYXVjLW9uW5oJqU21rFhUTXmJ61MlSWc2WdOGbwCuSp5/E7ifTHi9AfhWjDECD4cQ6kIIjTHG/ZM0DkmSNAlijLR3nhjZ5Xfzvsyuv/uO9Y30WVxbweqmWl61ejFrkmm/S+srKSpy2q8k6dzlIrxG4KchhAh8OcZ4G7BoOJDGGPeHEBqSvkuAvVnvbU/aRoXXEMItwC0ALS0tORiiJEk6X4PpIXYc6BmppA5XVbv7UgAUBbhwYTVty+clu/3WsqqxlgXV5XkeuSRpJslFeH1JjHFfElDvDiFsPUPfsf6pNT6nIROAbwNoa2t7znFJkjQ5uvsG2bK/m837jo1UVXcc6GEgnbktTUVpEa2La3ndC5sy1dTGWloX1zKnzGm/kqTJNeHwGmPclzweDCH8C7AeODA8HTiE0AgcTLq3A0uz3t4M7JvoGCRJ0rmJMXKgq5/N+4/xxDPJ1N/9Xew+fHykz7yqMtY01fLOly5ndWOmonrBgmqKnfYrScqDCYXXEEIVUBRj7E6evwr4a+CHwE3Ap5PHHyRv+SHwvhDCd8ls1HTM9a6SJE2u9FDkqUM9o3b7fWJfF0d6B0b6LJtfyZqmWt50WXMy9XcuDTXl3pZGklQwJlp5XQT8S/IXWwnwjzHGH4cQfg3cEUJ4N7AHeFPS/y4yt8nZSeZWOe+c4OdLkqQsJwbSbHl2dEjd9mwXfYOZab9lxUVcvLiaV6xqyFRTl8yldXENNRXelkaSVNgmFF5jjLuAF47Rfhi4doz2CPzxRD5TkiRlHOrpHxVSN+87xlOHeknuSkNtRQmrm2r5/fXLRnb7fd7CaspKivI7cEmSzsNk3SpHkiTlyNBQZM+R48/Z7fdAV/9InyV1c1jVWMt1lzSxOtlIqbl+jtN+JUkzhuFVkqQC0p9Ks+NAz6iQumV/Nz39mdvSFBcFLlpYzYuft2Bkt9/VTbXUVZbleeSSJE0uw6skSXnS2TvAlmSX3+GguvNgD6lk3m9lWTGrGmt5w7olIyH14kU1VJR6WxpJ0uxjeJUkaZINDUX2dh7PqqRmwuq+Y30jfRpqylndVMvVrQ2sSXb7XTavkiJvSyNJEmB4lSQpp/oG02w/0D0SUE+d9lsU4HkLq7n8gnkj1dRVjbUsqC7P88glSSpshldJks7T4Z5+tuzvZvP+k+tTn+zoJZ1M+606ZdrvqsZaVi522q8kSefD8CpJ0lkMDUV2Hxme9jv2br+NcytY3VjLq1YvHtntt8Vpv5Ik5YzhVZKkLCcG0mw70D0SVLfsz0wBPj6QBkbv9ps97Xdelbv9SpI0mQyvkqRZq6O7f9QGSpv3d7Gro4dk1i/V5SWsbqzlzW1LR4LqRQ3VTvuVJCkPDK+SpBkvPRR5+nDvSEAdfuzoPjntd0ndHFY11vKaFzRmgmpjLc31c5z2K0lSgTC8SpJmlOMDKbY+2z0qqG57tpsTg5lpvyVFgRWLanjZioWsaqwZWZ9aV+m0X0mSCpnhVZI0LcUY6eju54kkoG7ZnwmrTx3qJSbTfmsrSljdVMuN60dP+y0vcdqvJEnTjeFVklTwUukhnjrUm6mkZoXVQz0DI32a6+ewurGW61/YNBJUl9TNIQSn/UqSNBMYXiVJBaWnP8W2Z7tGTfvd+mw3/akhAMqKi1ixqJqrVzaMTPltbaxl7pzSPI9ckiRNJsOrJCkvYowc6Oofdd/Uzfu62H3k+Mi037rKUlY31vL2K5eN3JLmeQurKSspyu/gJUnSlDO8SpIm3WB6iF0dvSNBdcv+bjbv7+JI78lpv8vmV7K6sZY3rGsemfbbOLfCab+SJAmYQHgNISwFvgUsBoaA22KMnwshfAJ4D9CRdL01xnhX8p6PAu8G0sD7Y4w/mcDYJUkFqLtvkC37u0fdO3XbgW4Ghqf9lhSxclENr1y1KDPtt6mW1sU11FQ47VeSJJ3eRCqvKeDPY4ybQgg1wMYQwt3Jsb+LMX4mu3MIYTVwI7AGaAJ+FkK4OMaYnsAYJEk5FmOkPzVET3+Knr4UPf0pevtT9A6k6OlP09OXeT3c3pP1s6ujlz1Hjo+ca15VGasba7n5xctHqqkXLqiipNhpv5Ik6dycd3iNMe4H9ifPu0MIW4AlZ3jLDcB3Y4z9wFMhhJ3AeuCh8x2DJCljaCjSO5Citz89EiTHCpi9/Vl9+oYDadJnOKgOpEkPxXF9bmVZMVXlJVSXl1BVXswLlszlLZefvC1NQ00FH0VnAAALu0lEQVS5034lSVJO5GTNawhhObAW+BXwEuB9IYR3ABvIVGc7yQTbh7Pe1s5pwm4I4RbgFoCWlpZcDFGSCs5AauhkwBzIrnKmnxM4nxtCR/c5PjC+SSzFRYGqsuIkbJZQXZEJnotqKpIQWkx1RcnJQFqWeV4z0pYJq1XJseIig6kkSZoaEw6vIYRq4J+AD8QYu0IIXwI+CcTk8W+BdwFj/R/OmP+0H2O8DbgNoK2tbXz//C9JkyzGyInB9Kjw2N2XPaU2u4KZhMsklGaH1N5k6u1Aemhcn1teUjQSNqvKS6gpL2FBdRnL5leeDKEj1c9MBTT79fBjTUUJ5SVFVkIlSdK0NKHwGkIoJRNcvx1j/GeAGOOBrONfAX6UvGwHlma9vRnYN5HPl6TxiDHSO5Cmu2+QrhMpuvsG6e5L0ZU8Zn4GnzO1tnvk+cn28cymDYGkYlk8KlguraocmV47HEKrxgif1VkBtKq8hFLXh0qSJE1ot+EAfA3YEmP8bFZ7Y7IeFuD1wOPJ8x8C/xhC+CyZDZtWAP9+vp8vaXaIMXJ8ID0SMLtGhc5TH1MjATW7T884QmdJUchMly07GR7nzillSV3Fc6bOjkyfLTs57Ta7wllZWkyR02klSZJyaiKV15cAbwf+I4Twm6TtVuCtIYRLyUwJfhr4Q4AY4xMhhDuAzWR2Kv5jdxqWZrbhabbZwTM7YJ4aPrtG9cu09fSnzrp5UHFRoKYiEy5rykupnVPC0nmV1FSUUFtRevJY8vxkWym1yWNFqdNpJUmSCtlEdhv+BWOvY73rDO/5FPCp8/1MSVMnxkjf4NBzwuTosHnq9NuTfbr6BunpS5E6S/AsCoyEyuHHJXVzqK2oGdVWkxVCa+ecDJ01FSXMKS02eEqSJM1wOdltWFLh6UsqnqebYtvVl6LrxCnH+kcH1MH02YNndfnoiubi2gpWNGQC5ljhs3ak8pl5XVlm8JQkSdLZGV6lcxRjZDAdSQ0NZR7TQ6SGIoPpIVKj2iMD6aHTH8/qN9a5hvuP57MGUkP09I+ufJ5tJ9uQBM/sabUNNRU8b2FJ1tTarGrnqSF0TilVBk9JkiRNEcOr8mYglZmSenwgnYS8JJQNZULaydA2dsgbTPql0pHBoSTMZbWPvD+Vdfw0IfB05xpI3pM9trOtv8yV4qJASVGgtLiIkuLMY2lRoGT4dVHmsaS4iLLiwILqMi5YUHVyLeec7DWdz62AVpeVuKmQJEmSpg3Dq85Lfyr9nPWPp27IM9YusNmb8vSnxnePy3MRAidDXVbwKykqorR4+HXmeUkSBMtLi6gqGm47GRSHj5c+5/1jH8+0n+x76rlKS4pGxjaez7KiKUmSJJ1keJ2FzjV4nnovzK6+FAPjCJ5VZcWjpp3WVZYlO8COrgZm7mOZFfJOCZwlp7SXneF4sZVESZIkaUYyvE4zfVm3HTndzq9n2oDnXIPn8NTTeVVlLJtfNcb6x8ytSU69DUl1RYlBUpIkSVLOGF6n0FjBMxM4R0+nPV04Hc8mPDC8++vJyqbBU5IkSdJ0Z3idgEf2dLL9QPekBs9TN+EZvtXIWPe+rKkopbrc4ClJkiRp5jG8TsCdG9v59q/2jLyuKR+9q6vBU5IkSZJyw/A6AR94xcX80dUXedsRSZIkSZpkhtcJWFhTnu8hSJIkSdKsUJTvAUiSJEmSdDaGV0mSJElSwTO8SpIkSZIKnuFVkiRJklTwDK+SJEmSpIIXYoz5HsMZhRA6gN35HscZLAAO5XsQmvW8DlUovBZVCLwOVQi8DlUoCv1aXBZjXDiejgUfXgtdCGFDjLEt3+PQ7OZ1qELhtahC4HWoQuB1qEIxk65Fpw1LkiRJkgqe4VWSJEmSVPAMrxN3W74HIOF1qMLhtahC4HWoQuB1qEIxY65F17xKkiRJkgqelVdJkiRJUsEzvEqSJEmSCp7h9RQhhKUhhPtCCFtCCE+EEP40aZ8XQrg7hLAjeaxP2ltDCA+FEPpDCB865VyvDiFsCyHsDCH8RT6+j6avXF2LpzuPNB65/J2YHC8OITwSQvjRVH8XTV85/ru5LoRwZwhha3K+F+XjO2l6yvG1+MHkHI+HEL4TQqjIx3fS9HMe1+HbQgiPJT//FkJ4Yda5plVecc3rKUIIjUBjjHFTCKEG2Aj8LnAzcCTG+OnkP2x9jPEjIYQGYFnSpzPG+JnkPMXAduCVQDvwa+CtMcbNU/6lNC3l8Foc8zxeixqPXF2HWef7M6ANqI0xXjeV30XTVy6vwxDCN4Gfxxi/GkIoAypjjEen+jtpesrh381LgF8Aq2OMJ0IIdwB3xRi/MfXfStPNeVyHLwa2xBg7Qwi/A3wixnjFdMwrVl5PEWPcH2PclDzvBrYAS4AbgG8m3b5J5gIhxngwxvhrYPCUU60HdsYYd8UYB4DvJueQxiVX1+IZziOdVQ5/JxJCaAZeC3x1CoauGSRX12EIoRZ4GfC1pN+AwVXnIpe/E4ESYE4IoQSoBPZN8vA1Q5zHdfhvMcbOpP1hoDl5Pu3yiuH1DEIIy4G1wK+ARTHG/ZC5YICGs7x9CbA363U7Bgadpwlei6c7j3ROcnAd/k/gvwBDkzREzQITvA4vBDqAryfT178aQqiaxOFqBpvItRhjfAb4DLAH2A8cizH+dDLHq5npPK7DdwP/mjyfdnnF8HoaIYRq4J+AD8QYu87nFGO0OUdb5ywH12JOz6PZaaLXTwjhOuBgjHFjzgenWSMHv8dKgHXAl2KMa4FeoODXeKnw5OB3Yj2ZCtcFQBNQFUL4T7kdpWa6c70OQwhXkwmvHxluGqNbQecVw+sYQgilZC6Eb8cY/zlpPpDMLx+eZ37wLKdpB5ZmvW7G6SA6Rzm6Fk93HmlccnQdvgS4PoTwNJlpSdeEEP5hkoasGSiHfze3xxiHZ5/cSSbMSuOWo2vxFcBTMcaOGOMg8M/AiydrzJp5zvU6DCFcQmbZzg0xxsNJ87TLK4bXU4QQApm1MFtijJ/NOvRD4Kbk+U3AD85yql8DK0IIFyQbQtyYnEMal1xdi2c4j3RWuboOY4wfjTE2xxiXk/l9eG+M0SqDxiWH1+GzwN4Qwsqk6VqgYDcmUeHJ4f8n7gGuDCFUJue8lsy6RemszvU6DCG0kPkHkrfHGLdn9Z92ecXdhk8RQngp8HPgPzi5LutWMvPI7wBayPzCeVOM8UgIYTGwAahN+veQ2TmuK4TwGjJrvIqB22OMn5rSL6NpLVfXInDJWOeJMd41RV9F01gufydmnfMq4EPuNqzxyvHfzZeSqT6UAbuAd2ZtZCKdUY6vxb8C3gKkgEeAP4gx9k/l99H0dB7X4VeB3wN2J31TMca25FzTKq8YXiVJkiRJBc9pw5IkSZKkgmd4lSRJkiQVPMOrJEmSJKngGV4lSZIkSQXP8CpJkiRJKniGV0mSJElSwTO8SpI0DYUQivM9BkmSppLhVZKkSRZC+GQI4U+zXn8qhPD+EMKHQwi/DiE8FkL4q6zj/yeEsDGE8EQI4Zas9p4Qwl+HEH4FvGiKv4YkSXlleJUkafJ9DbgJIIRQBNwIHABWAOuBS4HLQggvS/q/K8Z4GdAGvD+EMD9prwIejzFeEWP8xVR+AUmS8q0k3wOQJGmmizE+HUI4HEJYCywCHgEuB16VPAeoJhNmHyQTWF+ftC9N2g8DaeCfpnLskiQVCsOrJElT46vAzcBi4HbgWuC/xRi/nN0phHAV8ArgRTHG4yGE+4GK5HBfjDE9VQOWJKmQOG1YkqSp8S/Aq8lUXH+S/LwrhFANEEJYEkJoAOYCnUlwbQWuzNeAJUkqJFZeJUmaAjHGgRDCfcDRpHr60xDCKuChEAJAD/CfgB8D7w0hPAZsAx7O15glSSokIcaY7zFIkjTjJRs1bQLeFGPcke/xSJI03ThtWJKkSRZCWA3sBO4xuEqSdH6svEqSJEmSCp6VV0mSJElSwTO8SpIkSZIKnuFVkiRJklTwDK+SJEmSpIJneJUkSZIkFbz/HxGIPJcMXgs0AAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 1152x216 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df2=pd.DataFrame(columns=['i','value'])\n",
"df3=pd.DataFrame(columns=['year','value'])\n",
"f = open('C:/Users/lenovo/Desktop/000338-3.txt')\n",
"i=0\n",
"value=100\n",
"year=2000\n",
"for line in f.readlines():\n",
" index_spa=line.find(' ',3)\n",
" index_bchl=line.find('本次获利')\n",
" index_spa2=line.find(' ',index_bchl+6)\n",
" index_zhl=line.find('总获利')\n",
" index_year=line.find(' ',index_zhl+5)+1\n",
" if index_bchl>0:\n",
" sell=float(line[3:index_spa])\n",
" #print(index_bchl,index_spa2)\n",
" profit=float(line[index_bchl+5:index_spa2])\n",
" buy=sell-profit\n",
" value=value*(sell/buy-0.002)\n",
" i+=1\n",
" df2=df2.append({'i':i, 'value':value},ignore_index=True)\n",
" if year!=line[index_year:index_year+4]:\n",
" df3=df3.append({'year':int(line[index_year:index_year+4]), 'value':value},ignore_index=True) \n",
" year=line[index_year:index_year+4]\n",
"df3=df3.append({'year':2020, 'value':value},ignore_index=True) \n",
"f.close()\n",
"print(value)\n",
"df2.plot(x='i',y='value',figsize=(16,3))\n",
"df3.plot(x='year',y='value',figsize=(16,3))"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"4.39999999999999"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"float('4.39999999999999')"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda root]",
"language": "python",
"name": "conda-root-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}