{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TEST R 20190411"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import serial\n",
    "import time\n",
    "import datetime\n",
    "import pandas as pd\n",
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('seaborn-deep')\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test Notes\n",
    "\n",
    "### Configuration ###\n",
    "\n",
    "* Test: `R`\n",
    "* NAL Power: `Internal 12VDC (modified)`\n",
    "* NAL Serial: `Serial Port Isolated`\n",
    "* CPF Power: `On, 12/5 Enabled`\n",
    "* CPF Electronics: `In Housing`\n",
    "* Motherboard: `Modified`\n",
    "* \n",
    "### Log\n",
    "\n",
    "* `2019-04-11T10:58` Running on cpf modified electronics and cpf modem, but attaching to an external antenna far away. \n",
    "*\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = '20190411T153000_cpflog.csv'\n",
    "test_letter='R'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "date,time,csq\n",
      "01-Jan-2007,00:06:04.940,0\n",
      "01-Jan-2007,00:06:14.983,0\n",
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      "01-Jan-2007,00:47:50.022,4\n",
      "01-Jan-2007,00:47:53.635,0\n"
     ]
    }
   ],
   "source": [
    "!echo date,time,csq> 20190411T153000_cpflog.csv\n",
    "!grep '+CSQ:' 20190411T153000_cpflog.txt | awk '{print $2\",\"$3\",\"$7}' | sed 's/+CSQ://g'>> 20190411T153000_cpflog.csv\n",
    "!cat 20190411T153000_cpflog.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.read_csv(filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 201 entries, 0 to 200\n",
      "Data columns (total 3 columns):\n",
      "date    201 non-null object\n",
      "time    201 non-null object\n",
      "csq     201 non-null int64\n",
      "dtypes: int64(1), object(2)\n",
      "memory usage: 3.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "          date          time  csq\n",
       "0  01-Jan-2007  00:06:04.940    0\n",
       "1  01-Jan-2007  00:06:14.983    0\n",
       "2  01-Jan-2007  00:06:25.026    0\n",
       "3  01-Jan-2007  00:06:35.068    0\n",
       "4  01-Jan-2007  00:06:45.110    0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['date', 'time', 'csq'], dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## \n",
    "df2.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Test R: Housing Closed, CPF On, 5V On, 12V On, CPF connected to NAL')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.arange(7)-0.5\n",
    "\n",
    "fig = df2.csq.hist(figsize=(10,5), align='mid', bins=bins, edgecolor=\"black\")\n",
    "bins = np.arange(7)-0.5\n",
    "fig.set_xlabel(\"CSQ REPLY (RSSI)\")\n",
    "fig.set_ylabel(\"COUNT\")\n",
    "fig.set_title(f\"Test {test_letter}: Housing Closed, CPF On, 5V On, 12V On, CPF connected to NAL\")\n",
    "#Determine Test Length\n",
    "#date_str = f\"Test Start: {df2.date[0]}\\nTest End: {df2.date.iloc[-1]} \"\n",
    "#plt.text(0,150,date_str);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Time')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot CSQ over time\n",
    "import matplotlib.dates as mdates\n",
    "ax = df2.plot(kind='line',x='time',y='csq', figsize=(10,5))\n",
    "ax.xaxis.set_major_locator(plt.MaxNLocator(4))\n",
    "ax.set_title(f\"Test {test_letter} Time Series\")\n",
    "ax.set_ylabel(\"CSQ (RSSI)\")\n",
    "ax.set_xlabel(\"Time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}