1_f_drop_or_delete_a_column.ipynb

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   "source": [
    "Drop columns or pop columns from a dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "df = pd.DataFrame([['AA', 1],['BB', 2],['CC', 3]], columns = ['name','value'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AA</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BB</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CC</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "  name  value\n",
       "0   AA      1\n",
       "1   BB      2\n",
       "2   CC      3"
      ]
     },
     "execution_count": 2,
     "metadata": {},
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   "source": [
    "df"
   ]
  },
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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   "outputs": [],
   "source": [
    "df.drop('value', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
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       "      <th>name</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "    <tr>\n",
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       "      <td>BB</td>\n",
       "    </tr>\n",
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       "      <td>CC</td>\n",
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       "  name\n",
       "0   AA\n",
       "1   BB\n",
       "2   CC"
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     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df"
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  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
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   "outputs": [],
   "source": [
    "df = pd.DataFrame([['AA', 1],['BB', 2],['CC', 3]], columns = ['name','value'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
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       "      <th>name</th>\n",
       "      <th>value</th>\n",
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       "    <tr>\n",
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       "  name  value\n",
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    "df"
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  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "values = df.pop('value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "  <thead>\n",
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       "      <th>name</th>\n",
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       "      <td>BB</td>\n",
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       "      <td>CC</td>\n",
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       "  name\n",
       "0   AA\n",
       "1   BB\n",
       "2   CC"
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    "df"
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   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    1\n",
       "1    2\n",
       "2    3\n",
       "Name: value, dtype: int64"
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     "metadata": {},
     "output_type": "execute_result"
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    "values"
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   "cell_type": "code",
   "execution_count": null,
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