create-profile-reading-tracker-test.ipynb

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   "cell_type": "markdown",
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   "source": [
    "### There are test codes written to change the tracker file content and see whether it works or not. If you just want to create a tracker file then please avoid running the code snippet.\n",
    "\n",
    "### Run this right after creating the profile-reading-tracker file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This is just a test to check whether editing a row and updating it in the file and reading it back works or not"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>handle</th>\n",
       "      <th>finished_reading</th>\n",
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       "      <td>Paul_Scheffer</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>Ed_Robb</td>\n",
       "      <td>False</td>\n",
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       "  </tbody>\n",
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      "text/plain": [
       "   Unnamed: 0             handle finished_reading\n",
       "0           0  Quincy_Timberlake            False\n",
       "1           1      Fanny_Edelman            False\n",
       "2           2   Stojan_Novaković            False\n",
       "3           3      Paul_Scheffer            False\n",
       "4           4            Ed_Robb            False"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('profile-reading-tracker')\n",
    "data.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
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       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>handle</th>\n",
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       "      <td>Fanny_Edelman</td>\n",
       "      <td>False</td>\n",
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       "      <td>Stojan_Novaković</td>\n",
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      "text/plain": [
       "              handle finished_reading\n",
       "0  Quincy_Timberlake            False\n",
       "1      Fanny_Edelman            False\n",
       "2   Stojan_Novaković            False\n",
       "3      Paul_Scheffer            False\n",
       "4            Ed_Robb            False"
      ]
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     "execution_count": 60,
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   "source": [
    "data = data.drop(['Unnamed: 0'],axis=1)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/kandy/anaconda3/lib/python3.5/site-packages/ipykernel/__main__.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n"
     ]
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       "<div>\n",
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       "  <thead>\n",
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       "              handle finished_reading\n",
       "0  Quincy_Timberlake             True\n",
       "1      Fanny_Edelman            False\n",
       "2   Stojan_Novaković            False\n",
       "3      Paul_Scheffer            False\n",
       "4            Ed_Robb            False"
      ]
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   "source": [
    "data['finished_reading'][0] = True\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0                          0\n",
       "handle              Quincy_Timberlake\n",
       "finished_reading                 True\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
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    "data.iloc[0]"
   ]
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  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data.to_csv('profile-reading-tracker')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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      "text/plain": [
       "   Unnamed: 0             handle finished_reading\n",
       "0           0  Quincy_Timberlake             True\n",
       "1           1      Fanny_Edelman            False\n",
       "2           2   Stojan_Novaković            False\n",
       "3           3      Paul_Scheffer            False\n",
       "4           4            Ed_Robb            False"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('profile-reading-tracker')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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      "text/plain": [
       "              handle finished_reading\n",
       "0  Quincy_Timberlake             True\n",
       "1      Fanny_Edelman            False\n",
       "2   Stojan_Novaković            False\n",
       "3      Paul_Scheffer            False\n",
       "4            Ed_Robb            False"
      ]
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     "execution_count": 45,
     "metadata": {},
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   "source": [
    "data = data[['handle','finished_reading']]\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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