index.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#hide\n",
    "from mydemo.core import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MyDemo\n",
    "\n",
    "> Super demo for nbdev. We'll write a discretizer."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Normally this bit would describe the package, give Install instructions, and then some Examples.\n",
    "\n",
    "But since this is an `nbdev` **demo**, I'll start by talking about using `nbdev`.  I'll assume by this time you have:\n",
    "\n",
    "* Switched to a suitable Python virtual environment\n",
    "* Installed jupyter\n",
    "* Installed nbdev\n",
    "* Found and maybe cloned this repo.\n",
    "\n",
    "This README is written in `index.ipynb` which generates `README.md` and the `index.html` page in `docs/`.  Yes, you get to write README in Jupyter! \n",
    "\n",
    "* GitHub renders `README.md` as the main package description.\n",
    "* It also creates and hosts full package documentation via GutHub Pages.\n",
    "* Or you can see those locally if you install & run Jekyll.\n",
    "\n",
    "In `index.ipynb`, assuming you've imported your module(s) up top (`from mydemo.core import *`), you can generate the `mydemo` Python package & docs via these two commands:\n",
    "\n",
    "```\n",
    "$ nbdev_build_lib && nbdev_build_docs\n",
    "```\n",
    "\n",
    "(If you have `make` installed, just type `make`!)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Caveats\n",
    "⚠️ The first cell should import your module(s). We just have one, named `core`. It's defined in `00_core.ipynb` which generates `mydemo/core.py`, which we import here as `from mydemo.core import *`, up in the first cell. \n",
    "\n",
    "⚠️ The \"MyDemo\" title cell should be (roughly) second, and has a _specific format_. Follow the template:\n",
    "\n",
    "```python\n",
    "   # ModuleName\n",
    "\n",
    "   > One-line module description\n",
    "```\n",
    "\n",
    "⚠️ The `settings.ini` can be tricky. Remember to `require` key packages or it may not work in a new environment (so GitHub's Continuous Integration will fail)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Install\n",
    "\n",
    "Write your install instructions here. Typically something like:\n",
    "\n",
    "`pip install your_project_name`  <-- replace with `mydemo`...\n",
    "\n",
    "Note: `nbdev` makes it easy to upload your package to `pip` or `conda`, but if doing this for work, _check with work first!_.  Similarly with GitHub etc.  (Though you can configure `nbdev` to use private repositories.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to use"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fill me in please! Don't forget code examples. \n",
    "\n",
    "OK, let's use our module's data-grabbing function to get car crash data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total</th>\n",
       "      <th>speeding</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>not_distracted</th>\n",
       "      <th>no_previous</th>\n",
       "      <th>ins_premium</th>\n",
       "      <th>ins_losses</th>\n",
       "      <th>abbrev</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>11.1</td>\n",
       "      <td>3.774</td>\n",
       "      <td>4.218</td>\n",
       "      <td>10.212</td>\n",
       "      <td>8.769</td>\n",
       "      <td>1148.99</td>\n",
       "      <td>148.58</td>\n",
       "      <td>RI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.6</td>\n",
       "      <td>6.510</td>\n",
       "      <td>5.208</td>\n",
       "      <td>15.624</td>\n",
       "      <td>17.856</td>\n",
       "      <td>899.47</td>\n",
       "      <td>110.35</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>12.8</td>\n",
       "      <td>4.608</td>\n",
       "      <td>4.352</td>\n",
       "      <td>12.032</td>\n",
       "      <td>12.288</td>\n",
       "      <td>803.11</td>\n",
       "      <td>139.15</td>\n",
       "      <td>IL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>11.3</td>\n",
       "      <td>4.859</td>\n",
       "      <td>1.808</td>\n",
       "      <td>9.944</td>\n",
       "      <td>10.848</td>\n",
       "      <td>809.38</td>\n",
       "      <td>109.48</td>\n",
       "      <td>UT</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>19.4</td>\n",
       "      <td>6.014</td>\n",
       "      <td>6.402</td>\n",
       "      <td>19.012</td>\n",
       "      <td>16.684</td>\n",
       "      <td>669.31</td>\n",
       "      <td>96.87</td>\n",
       "      <td>SD</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    total  speeding  alcohol  not_distracted  no_previous  ins_premium  \\\n",
       "39   11.1     3.774    4.218          10.212        8.769      1148.99   \n",
       "2    18.6     6.510    5.208          15.624       17.856       899.47   \n",
       "13   12.8     4.608    4.352          12.032       12.288       803.11   \n",
       "44   11.3     4.859    1.808           9.944       10.848       809.38   \n",
       "41   19.4     6.014    6.402          19.012       16.684       669.31   \n",
       "\n",
       "    ins_losses abbrev  \n",
       "39      148.58     RI  \n",
       "2       110.35     AZ  \n",
       "13      139.15     IL  \n",
       "44      109.48     UT  \n",
       "41       96.87     SD  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = getCrashes()\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test our super demo function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Core defines a few handy functions like `is_numeric()`. Try it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "total              True\n",
       "speeding           True\n",
       "alcohol            True\n",
       "not_distracted     True\n",
       "no_previous        True\n",
       "ins_premium        True\n",
       "ins_losses         True\n",
       "abbrev            False\n",
       "dtype: bool"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.apply(is_numeric)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's common to put `assert` in some tests so `nbdev` can check during build.  (This is more common in the modules rather than the index/README.) Here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "assert is_numeric(df['speeding'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test the fancy `discretize()` function.\n",
    "\n",
    "It will report its actions, and then return the discretized dataframe, suitable for passing on to your Bayes Net learning algorithm, etc. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function discretize in module mydemo.core:\n",
      "\n",
      "discretize(df, nbins=10, cut=<function qcut at 0x7ff4a04a6440>, verbose=2, drop_useless=True)\n",
      "    Discretize columns in {df} to have at most {nbins} categories.\n",
      "      * Categorical columns: take the Top n-1 plus \"Other\"\n",
      "      * Continuous columns: cut into {nbins} using {cut}.\n",
      "    \n",
      "    Returns a new discretized dataframe with the same column names.\n",
      "    Promotes discrete columns to categories.\n",
      "    \n",
      "    Parameters\n",
      "    -----------\n",
      "    df: Dataframe to discretize\n",
      "    nbins: Max number of bins to use. May return fewer.\n",
      "    cut: Cutting method. Default `pd.qcut`. Consider pd.cut, or write your own.\n",
      "    verbose: 0: silent, 1: colnames, 2: (Default) top N for each column\n",
      "    drop_useless: Removes columns that have < 2 unique values.\n",
      "    \n",
      "    Replaces numerical NA values with 'NA'.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(discretize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total:\n",
      "\t(5.899, 12.75]    13\n",
      "\t(12.75, 15.6]     13\n",
      "\t(15.6, 18.5]      12\n",
      "\t(18.5, 23.9]      13\n",
      "speeding:\n",
      "\t(1.7910000000000001, 3.766]    13\n",
      "\t(3.766, 4.608]                 13\n",
      "\t(4.608, 6.439]                 12\n",
      "\t(6.439, 9.45]                  13\n",
      "alcohol:\n",
      "\t(1.592, 3.894]     13\n",
      "\t(3.894, 4.554]     13\n",
      "\t(4.554, 5.604]     12\n",
      "\t(5.604, 10.038]    13\n",
      "not_distracted:\n",
      "\t(1.7590000000000001, 10.478]    13\n",
      "\t(10.478, 13.857]                13\n",
      "\t(13.857, 16.14]                 12\n",
      "\t(16.14, 23.661]                 13\n",
      "no_previous:\n",
      "\t(5.899, 11.348]     13\n",
      "\t(11.348, 13.775]    13\n",
      "\t(13.775, 16.755]    12\n",
      "\t(16.755, 21.28]     13\n",
      "ins_premium:\n",
      "\t(641.9590000000001, 768.43]    13\n",
      "\t(768.43, 858.97]               13\n",
      "\t(858.97, 1007.945]             12\n",
      "\t(1007.945, 1301.52]            13\n",
      "ins_losses:\n",
      "\t(82.749, 114.645]    13\n",
      "\t(114.645, 136.05]    13\n",
      "\t(136.05, 151.87]     12\n",
      "\t(151.87, 194.78]     13\n",
      "abbrev:\n",
      "\tLA        1\n",
      "\tMI        1\n",
      "\tMO        1\n",
      "\tWY        1\n",
      "\tOther    47\n",
      "  DROPPED [] because < 2 vals each.\n"
     ]
    },
    {
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       "      <th></th>\n",
       "      <th>total</th>\n",
       "      <th>speeding</th>\n",
       "      <th>alcohol</th>\n",
       "      <th>not_distracted</th>\n",
       "      <th>no_previous</th>\n",
       "      <th>ins_premium</th>\n",
       "      <th>ins_losses</th>\n",
       "      <th>abbrev</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>LA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>MI</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>MO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(1007.945, 1301.52]</td>\n",
       "      <td>(136.05, 151.87]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(1.7910000000000001, 3.766]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(10.478, 13.857]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>(5.899, 12.75]</td>\n",
       "      <td>(3.766, 4.608]</td>\n",
       "      <td>(1.592, 3.894]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(5.899, 11.348]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>(18.5, 23.9]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(5.604, 10.038]</td>\n",
       "      <td>(16.14, 23.661]</td>\n",
       "      <td>(16.755, 21.28]</td>\n",
       "      <td>(858.97, 1007.945]</td>\n",
       "      <td>(151.87, 194.78]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>(12.75, 15.6]</td>\n",
       "      <td>(4.608, 6.439]</td>\n",
       "      <td>(3.894, 4.554]</td>\n",
       "      <td>(1.7590000000000001, 10.478]</td>\n",
       "      <td>(11.348, 13.775]</td>\n",
       "      <td>(641.9590000000001, 768.43]</td>\n",
       "      <td>(82.749, 114.645]</td>\n",
       "      <td>Other</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>(15.6, 18.5]</td>\n",
       "      <td>(6.439, 9.45]</td>\n",
       "      <td>(4.554, 5.604]</td>\n",
       "      <td>(13.857, 16.14]</td>\n",
       "      <td>(13.775, 16.755]</td>\n",
       "      <td>(768.43, 858.97]</td>\n",
       "      <td>(114.645, 136.05]</td>\n",
       "      <td>WY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             total                     speeding          alcohol  \\\n",
       "0     (18.5, 23.9]                (6.439, 9.45]  (5.604, 10.038]   \n",
       "1     (15.6, 18.5]                (6.439, 9.45]   (3.894, 4.554]   \n",
       "2     (18.5, 23.9]                (6.439, 9.45]   (4.554, 5.604]   \n",
       "3     (18.5, 23.9]               (3.766, 4.608]  (5.604, 10.038]   \n",
       "4   (5.899, 12.75]               (3.766, 4.608]   (1.592, 3.894]   \n",
       "5    (12.75, 15.6]               (4.608, 6.439]   (1.592, 3.894]   \n",
       "6   (5.899, 12.75]               (4.608, 6.439]   (1.592, 3.894]   \n",
       "7     (15.6, 18.5]               (4.608, 6.439]   (4.554, 5.604]   \n",
       "8   (5.899, 12.75]  (1.7910000000000001, 3.766]   (1.592, 3.894]   \n",
       "9     (15.6, 18.5]  (1.7910000000000001, 3.766]   (4.554, 5.604]   \n",
       "10   (12.75, 15.6]  (1.7910000000000001, 3.766]   (3.894, 4.554]   \n",
       "11    (15.6, 18.5]                (6.439, 9.45]  (5.604, 10.038]   \n",
       "12   (12.75, 15.6]               (4.608, 6.439]   (3.894, 4.554]   \n",
       "13   (12.75, 15.6]               (3.766, 4.608]   (3.894, 4.554]   \n",
       "14   (12.75, 15.6]  (1.7910000000000001, 3.766]   (3.894, 4.554]   \n",
       "15    (15.6, 18.5]  (1.7910000000000001, 3.766]   (3.894, 4.554]   \n",
       "16    (15.6, 18.5]               (4.608, 6.439]   (3.894, 4.554]   \n",
       "17    (18.5, 23.9]               (3.766, 4.608]   (4.554, 5.604]   \n",
       "18    (18.5, 23.9]                (6.439, 9.45]  (5.604, 10.038]   \n",
       "19   (12.75, 15.6]               (4.608, 6.439]   (3.894, 4.554]   \n",
       "20  (5.899, 12.75]               (3.766, 4.608]   (3.894, 4.554]   \n",
       "21  (5.899, 12.75]  (1.7910000000000001, 3.766]   (1.592, 3.894]   \n",
       "22   (12.75, 15.6]  (1.7910000000000001, 3.766]   (3.894, 4.554]   \n",
       "23  (5.899, 12.75]  (1.7910000000000001, 3.766]   (1.592, 3.894]   \n",
       "24    (15.6, 18.5]  (1.7910000000000001, 3.766]   (4.554, 5.604]   \n",
       "25    (15.6, 18.5]                (6.439, 9.45]   (4.554, 5.604]   \n",
       "26    (18.5, 23.9]                (6.439, 9.45]  (5.604, 10.038]   \n",
       "27   (12.75, 15.6]  (1.7910000000000001, 3.766]   (4.554, 5.604]   \n",
       "28   (12.75, 15.6]               (4.608, 6.439]   (4.554, 5.604]   \n",
       "29  (5.899, 12.75]               (3.766, 4.608]   (1.592, 3.894]   \n",
       "30  (5.899, 12.75]  (1.7910000000000001, 3.766]   (1.592, 3.894]   \n",
       "31    (15.6, 18.5]  (1.7910000000000001, 3.766]   (4.554, 5.604]   \n",
       "32  (5.899, 12.75]               (3.766, 4.608]   (1.592, 3.894]   \n",
       "33    (15.6, 18.5]                (6.439, 9.45]   (4.554, 5.604]   \n",
       "34    (18.5, 23.9]               (4.608, 6.439]  (5.604, 10.038]   \n",
       "35   (12.75, 15.6]               (3.766, 4.608]   (4.554, 5.604]   \n",
       "36    (18.5, 23.9]               (4.608, 6.439]  (5.604, 10.038]   \n",
       "37   (12.75, 15.6]               (3.766, 4.608]   (1.592, 3.894]   \n",
       "38    (15.6, 18.5]                (6.439, 9.45]  (5.604, 10.038]   \n",
       "39  (5.899, 12.75]               (3.766, 4.608]   (3.894, 4.554]   \n",
       "40    (18.5, 23.9]                (6.439, 9.45]  (5.604, 10.038]   \n",
       "41    (18.5, 23.9]               (4.608, 6.439]  (5.604, 10.038]   \n",
       "42    (18.5, 23.9]               (3.766, 4.608]  (5.604, 10.038]   \n",
       "43    (18.5, 23.9]                (6.439, 9.45]  (5.604, 10.038]   \n",
       "44  (5.899, 12.75]               (4.608, 6.439]   (1.592, 3.894]   \n",
       "45   (12.75, 15.6]               (3.766, 4.608]   (3.894, 4.554]   \n",
       "46  (5.899, 12.75]  (1.7910000000000001, 3.766]   (1.592, 3.894]   \n",
       "47  (5.899, 12.75]               (3.766, 4.608]   (1.592, 3.894]   \n",
       "48    (18.5, 23.9]                (6.439, 9.45]  (5.604, 10.038]   \n",
       "49   (12.75, 15.6]               (4.608, 6.439]   (3.894, 4.554]   \n",
       "50    (15.6, 18.5]                (6.439, 9.45]   (4.554, 5.604]   \n",
       "\n",
       "                  not_distracted       no_previous  \\\n",
       "0                (16.14, 23.661]  (13.775, 16.755]   \n",
       "1                (16.14, 23.661]   (16.755, 21.28]   \n",
       "2                (13.857, 16.14]   (16.755, 21.28]   \n",
       "3                (16.14, 23.661]   (16.755, 21.28]   \n",
       "4               (10.478, 13.857]   (5.899, 11.348]   \n",
       "5               (10.478, 13.857]  (11.348, 13.775]   \n",
       "6   (1.7590000000000001, 10.478]   (5.899, 11.348]   \n",
       "7                (13.857, 16.14]  (13.775, 16.755]   \n",
       "8   (1.7590000000000001, 10.478]   (5.899, 11.348]   \n",
       "9                (16.14, 23.661]   (16.755, 21.28]   \n",
       "10               (13.857, 16.14]  (13.775, 16.755]   \n",
       "11               (13.857, 16.14]  (13.775, 16.755]   \n",
       "12              (10.478, 13.857]  (13.775, 16.755]   \n",
       "13              (10.478, 13.857]  (11.348, 13.775]   \n",
       "14              (10.478, 13.857]  (11.348, 13.775]   \n",
       "15               (13.857, 16.14]  (11.348, 13.775]   \n",
       "16              (10.478, 13.857]  (13.775, 16.755]   \n",
       "17               (16.14, 23.661]  (13.775, 16.755]   \n",
       "18               (13.857, 16.14]   (16.755, 21.28]   \n",
       "19              (10.478, 13.857]  (11.348, 13.775]   \n",
       "20  (1.7590000000000001, 10.478]  (11.348, 13.775]   \n",
       "21  (1.7590000000000001, 10.478]   (5.899, 11.348]   \n",
       "22              (10.478, 13.857]   (5.899, 11.348]   \n",
       "23  (1.7590000000000001, 10.478]   (5.899, 11.348]   \n",
       "24  (1.7590000000000001, 10.478]   (16.755, 21.28]   \n",
       "25               (13.857, 16.14]  (11.348, 13.775]   \n",
       "26               (16.14, 23.661]   (16.755, 21.28]   \n",
       "27              (10.478, 13.857]  (11.348, 13.775]   \n",
       "28               (13.857, 16.14]  (13.775, 16.755]   \n",
       "29  (1.7590000000000001, 10.478]   (5.899, 11.348]   \n",
       "30  (1.7590000000000001, 10.478]   (5.899, 11.348]   \n",
       "31              (10.478, 13.857]   (16.755, 21.28]   \n",
       "32              (10.478, 13.857]   (5.899, 11.348]   \n",
       "33               (13.857, 16.14]  (11.348, 13.775]   \n",
       "34               (16.14, 23.661]   (16.755, 21.28]   \n",
       "35               (13.857, 16.14]  (11.348, 13.775]   \n",
       "36               (16.14, 23.661]   (16.755, 21.28]   \n",
       "37  (1.7590000000000001, 10.478]  (11.348, 13.775]   \n",
       "38               (16.14, 23.661]  (13.775, 16.755]   \n",
       "39  (1.7590000000000001, 10.478]   (5.899, 11.348]   \n",
       "40               (16.14, 23.661]   (16.755, 21.28]   \n",
       "41               (16.14, 23.661]  (13.775, 16.755]   \n",
       "42               (13.857, 16.14]  (13.775, 16.755]   \n",
       "43               (16.14, 23.661]   (16.755, 21.28]   \n",
       "44  (1.7590000000000001, 10.478]   (5.899, 11.348]   \n",
       "45              (10.478, 13.857]  (11.348, 13.775]   \n",
       "46              (10.478, 13.857]   (5.899, 11.348]   \n",
       "47  (1.7590000000000001, 10.478]   (5.899, 11.348]   \n",
       "48               (16.14, 23.661]   (16.755, 21.28]   \n",
       "49  (1.7590000000000001, 10.478]  (11.348, 13.775]   \n",
       "50               (13.857, 16.14]  (13.775, 16.755]   \n",
       "\n",
       "                    ins_premium         ins_losses abbrev  \n",
       "0              (768.43, 858.97]   (136.05, 151.87]  Other  \n",
       "1           (1007.945, 1301.52]  (114.645, 136.05]  Other  \n",
       "2            (858.97, 1007.945]  (82.749, 114.645]  Other  \n",
       "3              (768.43, 858.97]   (136.05, 151.87]  Other  \n",
       "4            (858.97, 1007.945]   (151.87, 194.78]  Other  \n",
       "5              (768.43, 858.97]   (136.05, 151.87]  Other  \n",
       "6           (1007.945, 1301.52]   (151.87, 194.78]  Other  \n",
       "7           (1007.945, 1301.52]   (136.05, 151.87]  Other  \n",
       "8           (1007.945, 1301.52]  (114.645, 136.05]  Other  \n",
       "9           (1007.945, 1301.52]   (136.05, 151.87]  Other  \n",
       "10           (858.97, 1007.945]   (136.05, 151.87]  Other  \n",
       "11           (858.97, 1007.945]  (114.645, 136.05]  Other  \n",
       "12  (641.9590000000001, 768.43]  (82.749, 114.645]  Other  \n",
       "13             (768.43, 858.97]   (136.05, 151.87]  Other  \n",
       "14  (641.9590000000001, 768.43]  (82.749, 114.645]  Other  \n",
       "15  (641.9590000000001, 768.43]  (82.749, 114.645]  Other  \n",
       "16             (768.43, 858.97]  (114.645, 136.05]  Other  \n",
       "17           (858.97, 1007.945]   (136.05, 151.87]  Other  \n",
       "18          (1007.945, 1301.52]   (151.87, 194.78]     LA  \n",
       "19  (641.9590000000001, 768.43]  (82.749, 114.645]  Other  \n",
       "20          (1007.945, 1301.52]   (151.87, 194.78]  Other  \n",
       "21          (1007.945, 1301.52]  (114.645, 136.05]  Other  \n",
       "22          (1007.945, 1301.52]   (151.87, 194.78]     MI  \n",
       "23             (768.43, 858.97]  (114.645, 136.05]  Other  \n",
       "24           (858.97, 1007.945]   (151.87, 194.78]  Other  \n",
       "25             (768.43, 858.97]   (136.05, 151.87]     MO  \n",
       "26             (768.43, 858.97]  (82.749, 114.645]  Other  \n",
       "27  (641.9590000000001, 768.43]  (114.645, 136.05]  Other  \n",
       "28          (1007.945, 1301.52]   (136.05, 151.87]  Other  \n",
       "29  (641.9590000000001, 768.43]  (114.645, 136.05]  Other  \n",
       "30          (1007.945, 1301.52]   (151.87, 194.78]  Other  \n",
       "31           (858.97, 1007.945]  (114.645, 136.05]  Other  \n",
       "32          (1007.945, 1301.52]   (136.05, 151.87]  Other  \n",
       "33  (641.9590000000001, 768.43]  (114.645, 136.05]  Other  \n",
       "34  (641.9590000000001, 768.43]  (82.749, 114.645]  Other  \n",
       "35  (641.9590000000001, 768.43]  (114.645, 136.05]  Other  \n",
       "36           (858.97, 1007.945]   (151.87, 194.78]  Other  \n",
       "37             (768.43, 858.97]  (82.749, 114.645]  Other  \n",
       "38           (858.97, 1007.945]   (151.87, 194.78]  Other  \n",
       "39          (1007.945, 1301.52]   (136.05, 151.87]  Other  \n",
       "40             (768.43, 858.97]  (114.645, 136.05]  Other  \n",
       "41  (641.9590000000001, 768.43]  (82.749, 114.645]  Other  \n",
       "42  (641.9590000000001, 768.43]   (151.87, 194.78]  Other  \n",
       "43           (858.97, 1007.945]   (151.87, 194.78]  Other  \n",
       "44             (768.43, 858.97]  (82.749, 114.645]  Other  \n",
       "45  (641.9590000000001, 768.43]  (82.749, 114.645]  Other  \n",
       "46             (768.43, 858.97]   (151.87, 194.78]  Other  \n",
       "47           (858.97, 1007.945]  (82.749, 114.645]  Other  \n",
       "48           (858.97, 1007.945]   (151.87, 194.78]  Other  \n",
       "49  (641.9590000000001, 768.43]  (82.749, 114.645]  Other  \n",
       "50             (768.43, 858.97]  (114.645, 136.05]     WY  "
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "discretize(df, nbins=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 [profile=peregrine]",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}