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b/sicp/Exercises/1.1.ipynb new file mode 100644 index 0000000..d080dd9 --- /dev/null +++ b/sicp/Exercises/1.1.ipynb @@ -0,0 +1,113 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 引言" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "预测2023年全国高考录取率为： 45.64666666666653\n", + "预测2023年湖北省本科录取率为： 45.64666666666653\n", + "预测2023年湖北省一本录取率为： 16.953333333333333\n", + "预测2023年湖北省211录取率为： 5.280000000000001\n", + "预测2023年湖北省985录取率为： 2.153333333333336\n", + "预测2023年湖北省本科录取人数为： 219103.99999999936\n", + "预测2023年湖北省一本录取人数为： 81376.0\n", + "预测2023年湖北省211录取人数为： 25344.000000000004\n", + "预测2023年湖北省985录取人数为： 10336.000000000013\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.linear_model import LinearRegression\n", + "\n", + "# 假设您已经获得了2020-2022年的湖北高考录取率数据，存储在一个Pandas DataFrame中\n", + "data = {'年份': [2020, 2021, 2022],\n", + " '本科录取率': [42.1, 45.14, 44],\n", + " '一本录取率': [15.8, 18.9, 15.89],\n", + " '211录取率': [5.2, 5.6, 5.16],\n", + " '985录取率': [2.1, 2.1, 2.14]}\n", + "df = pd.DataFrame(data)\n", + "\n", + "# 使用线性回归模型拟合数据\n", + "X = df[['年份']]\n", + "y1 = df['本科录取率']\n", + "y2 = df['一本录取率']\n", + "y3 = df['211录取率']\n", + "y4 = df['985录取率']\n", + "model1 = LinearRegression().fit(X, y1)\n", + "model2 = LinearRegression().fit(X, y2)\n", + "model3 = LinearRegression().fit(X, y3)\n", + "model4 = LinearRegression().fit(X, y4)\n", + "\n", + "# 预测2023年的录取率\n", + "this_year = pd.DataFrame({'年份': [2023]})\n", + "predicted_本科录取率 = model1.predict(this_year)[0]\n", + "predicted_一本录取率 = model2.predict(this_year)[0]\n", + "predicted_211录取率 = model3.predict(this_year)[0]\n", + "predicted_985录取率 = model4.predict(this_year)[0]\n", + "\n", + "# 计算全国录取率\n", + "全国高考报名人数 = 12910000\n", + "湖北高考人数 = 480000\n", + "全国录取人数 = 全国高考报名人数 * predicted_本科录取率 / 100\n", + "湖北本科录取人数 = 湖北高考人数 * predicted_本科录取率 / 100\n", + "湖北一本录取人数 = 湖北高考人数 * predicted_一本录取率 / 100\n", + "湖北211录取人数 = 湖北高考人数 * predicted_211录取率 / 100\n", + "湖北985录取人数 = 湖北高考人数 * predicted_985录取率 / 100\n", + "全国录取率 = 全国录取人数 / 全国高考报名人数 * 100\n", + "\n", + "# 输出结果\n", + "print('预测2023年全国高考录取率为：', 全国录取率)\n", + "print('预测2023年湖北省本科录取率为：', predicted_本科录取率)\n", + "print('预测2023年湖北省一本录取率为：', predicted_一本录取率)\n", + "print('预测2023年湖北省211录取率为：', predicted_211录取率)\n", + "print('预测2023年湖北省985录取率为：', predicted_985录取率)\n", + "print('预测2023年湖北省本科录取人数为：', 湖北本科录取人数)\n", + "print('预测2023年湖北省一本录取人数为：', 湖北一本录取人数)\n", + "print('预测2023年湖北省211录取人数为：', 湖北211录取人数)\n", + "print('预测2023年湖北省985录取人数为：', 湖北985录取人数)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": 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