{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 由实验数据表1-4，做出IB=f(UBE)|UCE=0和IB=f(UBE)|UCE=2V特性曲线，并分析差别的原因。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "# 数据\n",
    "data = {\n",
    "    'IB(μA)': [0, 2, 4, 6, 10, 20, 40, 60, 80],\n",
    "    'UBE(V)|UCE=0': [0.0016, 0.5206, 0.5312, 0.5397, 0.5512, 0.5697, 0.5882, 0.6001, 0.6080],\n",
    "    'UBE(V)|UCE=2V': [0.0013, 0.6000, 0.6173, 0.6252, 0.6394, 0.6600, 0.6781, 0.6865, 0.6866]\n",
    "}\n",
    "\n",
    "# 转换为 DataFrame\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 开启 LaTeX 模式\n",
    "plt.rc('text', usetex=True)\n",
    "\n",
    "# 设置字体属性\n",
    "plt.rcParams['font.weight'] = 'bold'\n",
    "\n",
    "# 绘制 IB=f(UBE)|UCE=0 的特性曲线\n",
    "plt.plot(df['UBE(V)|UCE=0'], df['IB(μA)'], label=r'$I_B=f(U_{BE})|U_{CE}=0$')\n",
    "\n",
    "# 绘制 IB=f(UBE)|UCE=2V 的特性曲线\n",
    "plt.plot(df['UBE(V)|UCE=2V'], df['IB(μA)'], label=r'$I_B=f(U_{BE})|U_{CE}=2V$')\n",
    "\n",
    "# 设置图例\n",
    "plt.legend()\n",
    "\n",
    "# 设置标题和轴标签\n",
    "plt.title(r'$I_B=f(U_{BE})|U_{CE}=0 \\ and \\ I_B=f(U_{BE})|U_{CE}=2V$')\n",
    "plt.xlabel(r'$U_{BE}(V)$')\n",
    "plt.ylabel(r'$I_B(\\mu A)$')\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2、由实验数据表1-5，在同一个坐标系下，分别做出三条IC=f(UCE)|IB=常数的特性曲线，并分析曲线的原因。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "# 数据\n",
    "data = {\n",
    "    \"UCE(V)\": [0, 1, 2, 3, 5, 10],\n",
    "    \"IC(mA)|IB=10μA\": [0.0152, 2.0358, 2.1860, 2.2134, 2.2687, 2.4095],\n",
    "    \"IC(mA)|IB=20μA\": [0.0318, 3.9856, 4.2795, 4.3705, 4.4890, 4.8347],\n",
    "    \"IC(mA)|IB=30μA\": [0.0520, 6.2758, 6.5350, 6.6780, 6.8732, 7.6580],\n",
    "}\n",
    "\n",
    "# 转换为 DataFrame\n",
    "df = pd.DataFrame(data)\n",
    "\n",
    "# 开启 LaTeX 模式\n",
    "plt.rc(\"text\", usetex=True)\n",
    "\n",
    "# 设置字体属性\n",
    "plt.rcParams[\"font.weight\"] = \"bold\"\n",
    "\n",
    "# 绘制 IC=f(UCE)|IB=10μA 的特性曲线\n",
    "plt.plot(df[\"UCE(V)\"], df[\"IC(mA)|IB=10μA\"], label=r\"$I_C=f(U_{CE})|I_B=10\\mu A$\")\n",
    "\n",
    "# 绘制 IC=f(UCE)|IB=20μA 的特性曲线\n",
    "plt.plot(df[\"UCE(V)\"], df[\"IC(mA)|IB=20μA\"], label=r\"$I_C=f(U_{CE})|I_B=20\\mu A$\")\n",
    "\n",
    "# 绘制 IC=f(UCE)|IB=30μA 的特性曲线\n",
    "plt.plot(df[\"UCE(V)\"], df[\"IC(mA)|IB=30μA\"], label=r\"$I_C=f(U_{CE})|I_B=30\\mu A$\")\n",
    "\n",
    "# 设置图例\n",
    "plt.legend()\n",
    "\n",
    "# 设置标题和轴标签\n",
    "plt.title(r\"$I_C=f(U_{CE})|I_B=10\\mu A, 20\\mu A, 30\\mu A$\")\n",
    "plt.xlabel(r\"$U_{CE}(V)$\")\n",
    "plt.ylabel(r\"$I_C(mA)$\")\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.根据表1-5的数据，取UCE=5V时的实验数据，求晶体管的β值。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据\n",
    "IB_values = [10, 20, 30]  # μA\n",
    "IC_values = [2.2687, 4.4890, 6.8732]  # mA\n",
    "\n",
    "# 转换 IB_values 为 mA\n",
    "IB_values = [value / 1000 for value in IB_values]\n",
    "\n",
    "# 计算 β值\n",
    "beta_values = [IC / IB for IC, IB in zip(IC_values, IB_values)]\n",
    "\n",
    "# 输出 β值\n",
    "for i, beta in enumerate(beta_values, start=1):\n",
    "    print(f\"β值 (IB={IB_values[i-1]*1000}μA) = {beta}\")"
   ]
  }
 ],
 "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": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}