{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/Users/Leo/anaconda3/lib/python3.6/site-packages/matplotlib/mpl-data/matplotlibrc\n" ] } ], "source": [ "import matplotlib.pyplot as plt\n", "import sys\n", "\n", "from pylab import *\n", "mpl.rcParams['font.sans-serif'] = ['SimHei']\n", "\n", "\n", "import matplotlib\n", "print(matplotlib.matplotlib_fname())\n", "\n", "from matplotlib.font_manager import _rebuild\n", "_rebuild()\n", "\n", "#折线图\n", "\n", "\n", "# names = ['张三', '李四', '王五', '赵六', '马七']\n", "# x = range(len(names))\n", "# y = [0.8884, 0.9210, 0.9534, 0.9675, 0.9999]\n", "\n", "# plt.plot(x,y,'ro-',color = 'r',label=\"ATT-RLSTM\")#s-:方形\n", "# plt.plot(x,y,'ro-',color = 'g',label=\"CNN-RLSTM\")#o-:圆形\n", "# #plt.xlabel(\"region length\")#横坐标名字\n", "# #plt.ylabel(\"accuracy\")#纵坐标名字\n", "# #plt.legend(loc = \"best\")#图例\n", "# plt.show()\n", "\n", "\n", "import matplotlib.pyplot as plt\n", "names = ['流建立', '流保持(20个包)', '流保持(40个包)', '流保持(所有包)']\n", "x = range(len(names))\n", "y1 = [0.8803, 0.9864, 0.9992, 0.9999]\n", "y2 = [0.8626, 0.9765, 0.9920, 0.9997]\n", "y3 = [0.8443, 0.9640, 0.9840, 0.9995]\n", "plt.xticks(x, names, rotation=30)\n", "plt.margins(0.08)\n", "plt.subplots_adjust(bottom=0.15)\n", "plt.xlabel('SSL客户端识别阶段')\n", "plt.ylabel('SSL客户端识别总比例')\n", "plt.title('不同给定置信度下识别总比例和识别阶段的关系')\n", "plt.plot(x, y1, marker='o', c = '0.2', label = \"置信度0.5\")\n", "plt.plot(x, y2, marker='o', c = '0.2', mfc='w', label = \"置信度0.7\")\n", "plt.plot(x, y3, marker='s', c = '0.2', label = \"置信度0.9\")\n", "plt.legend()\n", "#plt.show()\n", "plt.tight_layout()\n", "plt.savefig(\"fig1.svg\")" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "names = ['流建立', '流保持(20个包)', '流保持(40个包)', '流保持(所有包)']\n", "x = range(len(names))\n", "y1 = [0.9631, 0.8786, 0.8887, 0.9286]\n", "y2 = [0.9868, 0.9089, 0.9114, 0.9531]\n", "y3 = [0.9965, 0.9309, 0.9274, 0.9746]\n", "plt.xticks(x, names, rotation=30)\n", "plt.margins(0.08)\n", "plt.subplots_adjust(bottom=0.15)\n", "plt.xlabel('SSL客户端识别阶段')\n", "plt.ylabel('SSL客户端识别F1值')\n", "plt.title('不同给定置信度下识别准确性和识别阶段的关系')\n", "plt.plot(x, y1, marker='o', c = '0.2', label = \"置信度0.5\")\n", "plt.plot(x, y2, marker='o', c = '0.2', mfc='w', label = \"置信度0.7\")\n", "plt.plot(x, y3, marker='s', c = '0.2', label = \"置信度0.9\")\n", "plt.legend()\n", "#plt.show()\n", "plt.tight_layout()\n", "plt.savefig(\"fig2.svg\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "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": "3.6.2" } }, "nbformat": 4, "nbformat_minor": 2 }