{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 根据表4-4数据，画出无反馈和有反馈放大电路的幅频特性曲线（Y轴放大倍数Au，X轴频率f）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 设置matplotlib库的字体为SimHei，以支持中文显示\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"]\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False\n",
    "plt.rcParams[\"font.size\"] = 14\n",
    "\n",
    "# 数据\n",
    "data = {\n",
    "    \"f\": [0.05, 0.1, 0.159, 0.3, 0.5, 0.75, 1, 3, 5, 6, 7.23, 10, 15, 20],\n",
    "    \"Uin\": [\n",
    "        0.996,\n",
    "        0.996,\n",
    "        0.996,\n",
    "        0.997,\n",
    "        0.998,\n",
    "        0.996,\n",
    "        0.996,\n",
    "        0.996,\n",
    "        0.996,\n",
    "        0.995,\n",
    "        0.996,\n",
    "        0.996,\n",
    "        0.996,\n",
    "        0.996,\n",
    "    ],\n",
    "    \"Uo\": [\n",
    "        1.142,\n",
    "        2.041,\n",
    "        2.738,\n",
    "        3.466,\n",
    "        3.757,\n",
    "        3.855,\n",
    "        3.878,\n",
    "        3.650,\n",
    "        3.244,\n",
    "        3.030,\n",
    "        2.785,\n",
    "        2.303,\n",
    "        1.709,\n",
    "        1.341,\n",
    "    ],\n",
    "}\n",
    "\n",
    "# 创建数据框\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "df[\"f\"] = df[\"f\"] * 1000  # 转换为Hz\n",
    "\n",
    "# 计算放大倍数\n",
    "df[\"Au\"] = df[\"Uo\"] / df[\"Uin\"]\n",
    "\n",
    "# 绘制幅频特性曲线\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.semilogx(df[\"f\"], df[\"Au\"])\n",
    "plt.title(\"放大电路的幅频特性曲线\")\n",
    "plt.xlabel(\"频率 (f/Hz)\")\n",
    "plt.ylabel(\"放大倍数 (Au)\")\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  }
 ],
 "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": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}