Ipv6 ping.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "60c4c40e-cd09-4c71-8010-dae3dfe7b45a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "680e48f0-ced0-4edf-8d7b-1629d7fb9c57",
   "metadata": {},
   "source": [
    "# Google public DNS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "356d581e-ed2d-45fd-876b-53472d3f2186",
   "metadata": {},
   "outputs": [],
   "source": [
    "d_ipv4 = [20.5, 15.3, 17.9, 17.2, 14.0, 21.8, 16.3, 17.5, 18.8, 14.6, 14.6, 17.7, 15.6, 17.7, 15.7, 15.3, 14.4, 17.3, 16.0, 16.0, 15.0, 16.6, 14.6, 16.8, 15.9, 16.5, 17.8, 18.5, 19.8, 17.8, 32.4, 16.0, 21.4, 18.5, 15.7, 17.3, 18.2, 16.6, 14.6, 16.8]\n",
    "d_ipv6 = [13.4, 14.1, 25.2, 13.3, 23.2, 16.7, 13.8, 18.1, 13.7, 15.1, 16.1, 12.5, 15.8, 14.3, 15.4, 21.3, 15.9, 15.4, 14.3, 15.0, 18.2, 14.7, 44.6, 14.8, 15.3, 15.9, 21.3, 13.6, 16.4, 14.6, 15.3, 16.2, 13.7, 17.3, 16.1, 12.5, 14.7, 16.1, 15.2, 16.9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e6fbd173-5201-41ab-892f-9f36ebbf38a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = pyplot.subplots()\n",
    "ax.ecdf(d_ipv4, label=\"IPv4\")\n",
    "ax.ecdf(d_ipv6, label=\"IPv6\")\n",
    "ax.legend()\n",
    "None"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b36cbb8-4a8c-4784-9fd9-2c8fa7663997",
   "metadata": {},
   "source": [
    "# `www.google.com`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bea06d0e-ed1b-45da-91da-af0409554470",
   "metadata": {},
   "outputs": [],
   "source": [
    "wg_ipv4 = [14.9, 15.1, 16.3, 14.8, 15.3, 42.2, 15.2, 15.6, 16.5, 14.4, 17.1, 16.3, 15.0, 23.9, 15.1, 15.1, 16.0, 16.9, 14.8, 14.7, 17.0, 15.7, 16.2, 27.8, 15.0, 14.5, 16.7, 14.6, 15.6, 16.9, 14.7, 15.8, 12.9, 16.1, 18.6, 15.1, 16.5, 16.6, 25.1, 16.6]\n",
    "wg_ipv6 = [20.9, 15.7, 14.7, 16.5, 14.8, 15.8, 17.8, 14.7, 15.6, 14.5, 15.8, 16.0, 16.1, 15.3, 16.5, 16.1, 15.7, 14.4, 17.3, 15.8, 19.5, 15.4, 14.8, 24.2, 16.8, 15.0, 16.8, 14.8, 15.0, 15.5, 41.7, 15.5, 14.5, 16.4, 13.9, 26.0, 15.5, 16.3, 18.9, 17.3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "af49066f-6f15-4788-860d-ca2f2b2ee0b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = pyplot.subplots()\n",
    "ax.ecdf(wg_ipv4, label=\"IPv4\")\n",
    "ax.ecdf(wg_ipv6, label=\"IPv6\")\n",
    "ax.legend()\n",
    "None"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c7ee4eb-4035-4775-a551-689ece11e042",
   "metadata": {},
   "source": [
    "# spire"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "fb4773ec-0ba4-4917-a999-4e5b5cce0613",
   "metadata": {},
   "outputs": [],
   "source": [
    "s_ipv4 = [88.9, 86.6, 87.9, 84.7, 87.1, 85.6, 86.6, 87.4, 87.5, 87.2, 85.1, 88.5, 84.2, 85.0, 87.0, 86.0, 87.4, 89.1, 86.6, 87.8, 84.9, 86.1, 84.7, 87.3, 88.1, 86.8, 84.9, 87.8, 84.9, 85.2, 87.4, 86.6, 86.6, 86.0, 88.0, 87.9, 90.7, 94.9, 87.2, 87.8]\n",
    "s_ipv6 = [93.2, 125, 97.4, 92.0, 91.3, 91.6, 91.9, 93.1, 97.7, 91.9, 101, 93.7, 92.3, 93.4, 90.2, 91.1, 91.8, 90.2, 93.6, 90.0, 91.0, 91.6, 98.7, 91.9, 92.9, 92.8, 90.0, 90.4, 91.4, 89.6, 90.5, 97.0, 90.4, 91.8, 90.2, 90.6, 96.8, 90.3, 91.0, 95.7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2a9f341e-eb99-4783-af45-79dfe60d9cf7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = pyplot.subplots()\n",
    "ax.ecdf(s_ipv4, label=\"IPv4\")\n",
    "ax.ecdf(s_ipv6, label=\"IPv6\")\n",
    "ax.legend()\n",
    "None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ec692298-870d-44e4-9d2d-b6ce4c6139b8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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