ecology.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>record_id</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>plot_id</th>\n",
       "      <th>species_id</th>\n",
       "      <th>sex</th>\n",
       "      <th>hindfoot_length</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>NL</td>\n",
       "      <td>M</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>NL</td>\n",
       "      <td>M</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>7</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>PF</td>\n",
       "      <td>M</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>PE</td>\n",
       "      <td>F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>6</td>\n",
       "      <td>PF</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>5</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>7</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>8</td>\n",
       "      <td>DM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>6</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>4</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>PP</td>\n",
       "      <td>M</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>4</td>\n",
       "      <td>PF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>11</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>15</td>\n",
       "      <td>NL</td>\n",
       "      <td>F</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>13</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>13</td>\n",
       "      <td>SH</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>15</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>15</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>11</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>11</td>\n",
       "      <td>PP</td>\n",
       "      <td>M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>10</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35519</th>\n",
       "      <td>35520</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>SF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35520</th>\n",
       "      <td>35521</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35521</th>\n",
       "      <td>35522</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>35.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35522</th>\n",
       "      <td>35523</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35523</th>\n",
       "      <td>35524</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>25.0</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35524</th>\n",
       "      <td>35525</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35525</th>\n",
       "      <td>35526</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>8</td>\n",
       "      <td>OT</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35526</th>\n",
       "      <td>35527</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>DO</td>\n",
       "      <td>F</td>\n",
       "      <td>33.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35527</th>\n",
       "      <td>35528</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35528</th>\n",
       "      <td>35529</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35529</th>\n",
       "      <td>35530</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>OT</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35530</th>\n",
       "      <td>35531</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35531</th>\n",
       "      <td>35532</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35532</th>\n",
       "      <td>35533</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35533</th>\n",
       "      <td>35534</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35534</th>\n",
       "      <td>35535</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35535</th>\n",
       "      <td>35536</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>35.0</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35536</th>\n",
       "      <td>35537</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35537</th>\n",
       "      <td>35538</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35538</th>\n",
       "      <td>35539</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>SF</td>\n",
       "      <td>M</td>\n",
       "      <td>26.0</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35539</th>\n",
       "      <td>35540</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35540</th>\n",
       "      <td>35541</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>24.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35541</th>\n",
       "      <td>35542</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35542</th>\n",
       "      <td>35543</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>27.0</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35543</th>\n",
       "      <td>35544</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35544</th>\n",
       "      <td>35545</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>AH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35545</th>\n",
       "      <td>35546</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>AH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35546</th>\n",
       "      <td>35547</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>10</td>\n",
       "      <td>RM</td>\n",
       "      <td>F</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35547</th>\n",
       "      <td>35548</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>7</td>\n",
       "      <td>DO</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35548</th>\n",
       "      <td>35549</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35549 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       record_id  month  day  year  plot_id species_id  sex  hindfoot_length  \\\n",
       "0              1      7   16  1977        2         NL    M             32.0   \n",
       "1              2      7   16  1977        3         NL    M             33.0   \n",
       "2              3      7   16  1977        2         DM    F             37.0   \n",
       "3              4      7   16  1977        7         DM    M             36.0   \n",
       "4              5      7   16  1977        3         DM    M             35.0   \n",
       "5              6      7   16  1977        1         PF    M             14.0   \n",
       "6              7      7   16  1977        2         PE    F              NaN   \n",
       "7              8      7   16  1977        1         DM    M             37.0   \n",
       "8              9      7   16  1977        1         DM    F             34.0   \n",
       "9             10      7   16  1977        6         PF    F             20.0   \n",
       "10            11      7   16  1977        5         DS    F             53.0   \n",
       "11            12      7   16  1977        7         DM    M             38.0   \n",
       "12            13      7   16  1977        3         DM    M             35.0   \n",
       "13            14      7   16  1977        8         DM  NaN              NaN   \n",
       "14            15      7   16  1977        6         DM    F             36.0   \n",
       "15            16      7   16  1977        4         DM    F             36.0   \n",
       "16            17      7   16  1977        3         DS    F             48.0   \n",
       "17            18      7   16  1977        2         PP    M             22.0   \n",
       "18            19      7   16  1977        4         PF  NaN              NaN   \n",
       "19            20      7   17  1977       11         DS    F             48.0   \n",
       "20            21      7   17  1977       14         DM    F             34.0   \n",
       "21            22      7   17  1977       15         NL    F             31.0   \n",
       "22            23      7   17  1977       13         DM    M             36.0   \n",
       "23            24      7   17  1977       13         SH    M             21.0   \n",
       "24            25      7   17  1977        9         DM    M             35.0   \n",
       "25            26      7   17  1977       15         DM    M             31.0   \n",
       "26            27      7   17  1977       15         DM    M             36.0   \n",
       "27            28      7   17  1977       11         DM    M             38.0   \n",
       "28            29      7   17  1977       11         PP    M              NaN   \n",
       "29            30      7   17  1977       10         DS    F             52.0   \n",
       "...          ...    ...  ...   ...      ...        ...  ...              ...   \n",
       "35519      35520     12   31  2002        9         SF  NaN             24.0   \n",
       "35520      35521     12   31  2002        9         DM    M             37.0   \n",
       "35521      35522     12   31  2002        9         DM    F             35.0   \n",
       "35522      35523     12   31  2002        9         DM    F             36.0   \n",
       "35523      35524     12   31  2002        9         PB    F             25.0   \n",
       "35524      35525     12   31  2002        9         OL    M             21.0   \n",
       "35525      35526     12   31  2002        8         OT    F             20.0   \n",
       "35526      35527     12   31  2002       13         DO    F             33.0   \n",
       "35527      35528     12   31  2002       13         US  NaN              NaN   \n",
       "35528      35529     12   31  2002       13         PB    F             25.0   \n",
       "35529      35530     12   31  2002       13         OT    F             20.0   \n",
       "35530      35531     12   31  2002       13         PB    F             27.0   \n",
       "35531      35532     12   31  2002       14         DM    F             34.0   \n",
       "35532      35533     12   31  2002       14         DM    F             36.0   \n",
       "35533      35534     12   31  2002       14         DM    M             37.0   \n",
       "35534      35535     12   31  2002       14         DM    M             37.0   \n",
       "35535      35536     12   31  2002       14         DM    F             35.0   \n",
       "35536      35537     12   31  2002       14         DM    F             36.0   \n",
       "35537      35538     12   31  2002       15         PB    F             26.0   \n",
       "35538      35539     12   31  2002       15         SF    M             26.0   \n",
       "35539      35540     12   31  2002       15         PB    F             26.0   \n",
       "35540      35541     12   31  2002       15         PB    F             24.0   \n",
       "35541      35542     12   31  2002       15         PB    F             26.0   \n",
       "35542      35543     12   31  2002       15         PB    F             27.0   \n",
       "35543      35544     12   31  2002       15         US  NaN              NaN   \n",
       "35544      35545     12   31  2002       15         AH  NaN              NaN   \n",
       "35545      35546     12   31  2002       15         AH  NaN              NaN   \n",
       "35546      35547     12   31  2002       10         RM    F             15.0   \n",
       "35547      35548     12   31  2002        7         DO    M             36.0   \n",
       "35548      35549     12   31  2002        5        NaN  NaN              NaN   \n",
       "\n",
       "       weight  \n",
       "0         NaN  \n",
       "1         NaN  \n",
       "2         NaN  \n",
       "3         NaN  \n",
       "4         NaN  \n",
       "5         NaN  \n",
       "6         NaN  \n",
       "7         NaN  \n",
       "8         NaN  \n",
       "9         NaN  \n",
       "10        NaN  \n",
       "11        NaN  \n",
       "12        NaN  \n",
       "13        NaN  \n",
       "14        NaN  \n",
       "15        NaN  \n",
       "16        NaN  \n",
       "17        NaN  \n",
       "18        NaN  \n",
       "19        NaN  \n",
       "20        NaN  \n",
       "21        NaN  \n",
       "22        NaN  \n",
       "23        NaN  \n",
       "24        NaN  \n",
       "25        NaN  \n",
       "26        NaN  \n",
       "27        NaN  \n",
       "28        NaN  \n",
       "29        NaN  \n",
       "...       ...  \n",
       "35519    36.0  \n",
       "35520    48.0  \n",
       "35521    45.0  \n",
       "35522    44.0  \n",
       "35523    27.0  \n",
       "35524    26.0  \n",
       "35525    24.0  \n",
       "35526    43.0  \n",
       "35527     NaN  \n",
       "35528    25.0  \n",
       "35529     NaN  \n",
       "35530     NaN  \n",
       "35531    43.0  \n",
       "35532    48.0  \n",
       "35533    56.0  \n",
       "35534    53.0  \n",
       "35535    42.0  \n",
       "35536    46.0  \n",
       "35537    31.0  \n",
       "35538    68.0  \n",
       "35539    23.0  \n",
       "35540    31.0  \n",
       "35541    29.0  \n",
       "35542    34.0  \n",
       "35543     NaN  \n",
       "35544     NaN  \n",
       "35545     NaN  \n",
       "35546    14.0  \n",
       "35547    51.0  \n",
       "35548     NaN  \n",
       "\n",
       "[35549 rows x 9 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(\"surveys.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "surveys_df = pd.read_csv(\"surveys.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>record_id</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>plot_id</th>\n",
       "      <th>species_id</th>\n",
       "      <th>sex</th>\n",
       "      <th>hindfoot_length</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>NL</td>\n",
       "      <td>M</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>NL</td>\n",
       "      <td>M</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>7</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>PF</td>\n",
       "      <td>M</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>PE</td>\n",
       "      <td>F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>6</td>\n",
       "      <td>PF</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>5</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>7</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>8</td>\n",
       "      <td>DM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>6</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>4</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>PP</td>\n",
       "      <td>M</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>4</td>\n",
       "      <td>PF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>11</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>15</td>\n",
       "      <td>NL</td>\n",
       "      <td>F</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>13</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>13</td>\n",
       "      <td>SH</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>15</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>15</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>11</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>11</td>\n",
       "      <td>PP</td>\n",
       "      <td>M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>10</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35519</th>\n",
       "      <td>35520</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>SF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35520</th>\n",
       "      <td>35521</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35521</th>\n",
       "      <td>35522</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>35.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35522</th>\n",
       "      <td>35523</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35523</th>\n",
       "      <td>35524</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>25.0</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35524</th>\n",
       "      <td>35525</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35525</th>\n",
       "      <td>35526</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>8</td>\n",
       "      <td>OT</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35526</th>\n",
       "      <td>35527</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>DO</td>\n",
       "      <td>F</td>\n",
       "      <td>33.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35527</th>\n",
       "      <td>35528</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35528</th>\n",
       "      <td>35529</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35529</th>\n",
       "      <td>35530</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>OT</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35530</th>\n",
       "      <td>35531</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35531</th>\n",
       "      <td>35532</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35532</th>\n",
       "      <td>35533</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35533</th>\n",
       "      <td>35534</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35534</th>\n",
       "      <td>35535</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35535</th>\n",
       "      <td>35536</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>35.0</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35536</th>\n",
       "      <td>35537</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35537</th>\n",
       "      <td>35538</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35538</th>\n",
       "      <td>35539</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>SF</td>\n",
       "      <td>M</td>\n",
       "      <td>26.0</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35539</th>\n",
       "      <td>35540</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35540</th>\n",
       "      <td>35541</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>24.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35541</th>\n",
       "      <td>35542</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35542</th>\n",
       "      <td>35543</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>27.0</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35543</th>\n",
       "      <td>35544</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35544</th>\n",
       "      <td>35545</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>AH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35545</th>\n",
       "      <td>35546</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>AH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35546</th>\n",
       "      <td>35547</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>10</td>\n",
       "      <td>RM</td>\n",
       "      <td>F</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35547</th>\n",
       "      <td>35548</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>7</td>\n",
       "      <td>DO</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35548</th>\n",
       "      <td>35549</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35549 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       record_id  month  day  year  plot_id species_id  sex  hindfoot_length  \\\n",
       "0              1      7   16  1977        2         NL    M             32.0   \n",
       "1              2      7   16  1977        3         NL    M             33.0   \n",
       "2              3      7   16  1977        2         DM    F             37.0   \n",
       "3              4      7   16  1977        7         DM    M             36.0   \n",
       "4              5      7   16  1977        3         DM    M             35.0   \n",
       "5              6      7   16  1977        1         PF    M             14.0   \n",
       "6              7      7   16  1977        2         PE    F              NaN   \n",
       "7              8      7   16  1977        1         DM    M             37.0   \n",
       "8              9      7   16  1977        1         DM    F             34.0   \n",
       "9             10      7   16  1977        6         PF    F             20.0   \n",
       "10            11      7   16  1977        5         DS    F             53.0   \n",
       "11            12      7   16  1977        7         DM    M             38.0   \n",
       "12            13      7   16  1977        3         DM    M             35.0   \n",
       "13            14      7   16  1977        8         DM  NaN              NaN   \n",
       "14            15      7   16  1977        6         DM    F             36.0   \n",
       "15            16      7   16  1977        4         DM    F             36.0   \n",
       "16            17      7   16  1977        3         DS    F             48.0   \n",
       "17            18      7   16  1977        2         PP    M             22.0   \n",
       "18            19      7   16  1977        4         PF  NaN              NaN   \n",
       "19            20      7   17  1977       11         DS    F             48.0   \n",
       "20            21      7   17  1977       14         DM    F             34.0   \n",
       "21            22      7   17  1977       15         NL    F             31.0   \n",
       "22            23      7   17  1977       13         DM    M             36.0   \n",
       "23            24      7   17  1977       13         SH    M             21.0   \n",
       "24            25      7   17  1977        9         DM    M             35.0   \n",
       "25            26      7   17  1977       15         DM    M             31.0   \n",
       "26            27      7   17  1977       15         DM    M             36.0   \n",
       "27            28      7   17  1977       11         DM    M             38.0   \n",
       "28            29      7   17  1977       11         PP    M              NaN   \n",
       "29            30      7   17  1977       10         DS    F             52.0   \n",
       "...          ...    ...  ...   ...      ...        ...  ...              ...   \n",
       "35519      35520     12   31  2002        9         SF  NaN             24.0   \n",
       "35520      35521     12   31  2002        9         DM    M             37.0   \n",
       "35521      35522     12   31  2002        9         DM    F             35.0   \n",
       "35522      35523     12   31  2002        9         DM    F             36.0   \n",
       "35523      35524     12   31  2002        9         PB    F             25.0   \n",
       "35524      35525     12   31  2002        9         OL    M             21.0   \n",
       "35525      35526     12   31  2002        8         OT    F             20.0   \n",
       "35526      35527     12   31  2002       13         DO    F             33.0   \n",
       "35527      35528     12   31  2002       13         US  NaN              NaN   \n",
       "35528      35529     12   31  2002       13         PB    F             25.0   \n",
       "35529      35530     12   31  2002       13         OT    F             20.0   \n",
       "35530      35531     12   31  2002       13         PB    F             27.0   \n",
       "35531      35532     12   31  2002       14         DM    F             34.0   \n",
       "35532      35533     12   31  2002       14         DM    F             36.0   \n",
       "35533      35534     12   31  2002       14         DM    M             37.0   \n",
       "35534      35535     12   31  2002       14         DM    M             37.0   \n",
       "35535      35536     12   31  2002       14         DM    F             35.0   \n",
       "35536      35537     12   31  2002       14         DM    F             36.0   \n",
       "35537      35538     12   31  2002       15         PB    F             26.0   \n",
       "35538      35539     12   31  2002       15         SF    M             26.0   \n",
       "35539      35540     12   31  2002       15         PB    F             26.0   \n",
       "35540      35541     12   31  2002       15         PB    F             24.0   \n",
       "35541      35542     12   31  2002       15         PB    F             26.0   \n",
       "35542      35543     12   31  2002       15         PB    F             27.0   \n",
       "35543      35544     12   31  2002       15         US  NaN              NaN   \n",
       "35544      35545     12   31  2002       15         AH  NaN              NaN   \n",
       "35545      35546     12   31  2002       15         AH  NaN              NaN   \n",
       "35546      35547     12   31  2002       10         RM    F             15.0   \n",
       "35547      35548     12   31  2002        7         DO    M             36.0   \n",
       "35548      35549     12   31  2002        5        NaN  NaN              NaN   \n",
       "\n",
       "       weight  \n",
       "0         NaN  \n",
       "1         NaN  \n",
       "2         NaN  \n",
       "3         NaN  \n",
       "4         NaN  \n",
       "5         NaN  \n",
       "6         NaN  \n",
       "7         NaN  \n",
       "8         NaN  \n",
       "9         NaN  \n",
       "10        NaN  \n",
       "11        NaN  \n",
       "12        NaN  \n",
       "13        NaN  \n",
       "14        NaN  \n",
       "15        NaN  \n",
       "16        NaN  \n",
       "17        NaN  \n",
       "18        NaN  \n",
       "19        NaN  \n",
       "20        NaN  \n",
       "21        NaN  \n",
       "22        NaN  \n",
       "23        NaN  \n",
       "24        NaN  \n",
       "25        NaN  \n",
       "26        NaN  \n",
       "27        NaN  \n",
       "28        NaN  \n",
       "29        NaN  \n",
       "...       ...  \n",
       "35519    36.0  \n",
       "35520    48.0  \n",
       "35521    45.0  \n",
       "35522    44.0  \n",
       "35523    27.0  \n",
       "35524    26.0  \n",
       "35525    24.0  \n",
       "35526    43.0  \n",
       "35527     NaN  \n",
       "35528    25.0  \n",
       "35529     NaN  \n",
       "35530     NaN  \n",
       "35531    43.0  \n",
       "35532    48.0  \n",
       "35533    56.0  \n",
       "35534    53.0  \n",
       "35535    42.0  \n",
       "35536    46.0  \n",
       "35537    31.0  \n",
       "35538    68.0  \n",
       "35539    23.0  \n",
       "35540    31.0  \n",
       "35541    29.0  \n",
       "35542    34.0  \n",
       "35543     NaN  \n",
       "35544     NaN  \n",
       "35545     NaN  \n",
       "35546    14.0  \n",
       "35547    51.0  \n",
       "35548     NaN  \n",
       "\n",
       "[35549 rows x 9 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "type(surveys_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "record_id            int64\n",
       "month                int64\n",
       "day                  int64\n",
       "year                 int64\n",
       "plot_id              int64\n",
       "species_id          object\n",
       "sex                 object\n",
       "hindfoot_length    float64\n",
       "weight             float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['record_id', 'month', 'day', 'year', 'plot_id', 'species_id', 'sex',\n",
       "       'hindfoot_length', 'weight'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "surveys_df.columns"
   ]
  },
  {
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   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
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       "</table>\n",
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      "text/plain": [
       "   record_id  month  day  year  plot_id species_id sex  hindfoot_length  \\\n",
       "0          1      7   16  1977        2         NL   M             32.0   \n",
       "1          2      7   16  1977        3         NL   M             33.0   \n",
       "2          3      7   16  1977        2         DM   F             37.0   \n",
       "3          4      7   16  1977        7         DM   M             36.0   \n",
       "4          5      7   16  1977        3         DM   M             35.0   \n",
       "\n",
       "   weight  \n",
       "0     NaN  \n",
       "1     NaN  \n",
       "2     NaN  \n",
       "3     NaN  \n",
       "4     NaN  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
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   "source": [
    "surveys_df.head()"
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  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th>record_id</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       record_id  month  day  year  plot_id species_id  sex  hindfoot_length  \\\n",
       "35544      35545     12   31  2002       15         AH  NaN              NaN   \n",
       "35545      35546     12   31  2002       15         AH  NaN              NaN   \n",
       "35546      35547     12   31  2002       10         RM    F             15.0   \n",
       "35547      35548     12   31  2002        7         DO    M             36.0   \n",
       "35548      35549     12   31  2002        5        NaN  NaN              NaN   \n",
       "\n",
       "       weight  \n",
       "35544     NaN  \n",
       "35545     NaN  \n",
       "35546    14.0  \n",
       "35547    51.0  \n",
       "35548     NaN  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_df.tail()"
   ]
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   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(35549, 9)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        16\n",
       "1        16\n",
       "2        16\n",
       "3        16\n",
       "4        16\n",
       "5        16\n",
       "6        16\n",
       "7        16\n",
       "8        16\n",
       "9        16\n",
       "10       16\n",
       "11       16\n",
       "12       16\n",
       "13       16\n",
       "14       16\n",
       "15       16\n",
       "16       16\n",
       "17       16\n",
       "18       16\n",
       "19       17\n",
       "20       17\n",
       "21       17\n",
       "22       17\n",
       "23       17\n",
       "24       17\n",
       "25       17\n",
       "26       17\n",
       "27       17\n",
       "28       17\n",
       "29       17\n",
       "         ..\n",
       "35519    31\n",
       "35520    31\n",
       "35521    31\n",
       "35522    31\n",
       "35523    31\n",
       "35524    31\n",
       "35525    31\n",
       "35526    31\n",
       "35527    31\n",
       "35528    31\n",
       "35529    31\n",
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       "35540    31\n",
       "35541    31\n",
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       "35544    31\n",
       "35545    31\n",
       "35546    31\n",
       "35547    31\n",
       "35548    31\n",
       "Name: day, dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "surveys_df['day']"
   ]
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  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['M', 'F', nan], dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.unique(surveys_df['sex'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['NL', 'DM', 'PF', 'PE', 'DS', 'PP', 'SH', 'OT', 'DO', 'OX', 'SS',\n",
       "       'OL', 'RM', nan, 'SA', 'PM', 'AH', 'DX', 'AB', 'CB', 'CM', 'CQ',\n",
       "       'RF', 'PC', 'PG', 'PH', 'PU', 'CV', 'UR', 'UP', 'ZL', 'UL', 'CS',\n",
       "       'SC', 'BA', 'SF', 'RO', 'AS', 'SO', 'PI', 'ST', 'CU', 'SU', 'RX',\n",
       "       'PB', 'PL', 'PX', 'CT', 'US'], dtype=object)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "pd.unique(surveys_df['species_id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2,  3,  7,  1,  6,  5,  8,  4, 11, 14, 15, 13,  9, 10, 17, 16, 20,\n",
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      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "pd.unique(surveys_df['plot_id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    32283.000000\n",
       "mean        42.672428\n",
       "std         36.631259\n",
       "min          4.000000\n",
       "25%         20.000000\n",
       "50%         37.000000\n",
       "75%         48.000000\n",
       "max        280.000000\n",
       "Name: weight, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_df['weight'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32283"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_df['weight'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.0"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "surveys_df['weight'].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_df['weight'].quantile(0.25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sorted = surveys_df.groupby('sex')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <td>15690.000000</td>\n",
       "      <td>15690.000000</td>\n",
       "      <td>15303.000000</td>\n",
       "      <td>15690.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>16.007138</td>\n",
       "      <td>28.836780</td>\n",
       "      <td>6.583047</td>\n",
       "      <td>11.440854</td>\n",
       "      <td>18036.412046</td>\n",
       "      <td>42.170555</td>\n",
       "      <td>1990.644997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.271144</td>\n",
       "      <td>9.463789</td>\n",
       "      <td>3.367350</td>\n",
       "      <td>6.870684</td>\n",
       "      <td>10423.089000</td>\n",
       "      <td>36.847958</td>\n",
       "      <td>7.598725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1977.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8917.500000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1984.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>18075.500000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>1990.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>27250.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1997.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>31.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>35547.000000</td>\n",
       "      <td>274.000000</td>\n",
       "      <td>2002.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">M</th>\n",
       "      <th>count</th>\n",
       "      <td>17348.000000</td>\n",
       "      <td>16476.000000</td>\n",
       "      <td>17348.000000</td>\n",
       "      <td>17348.000000</td>\n",
       "      <td>17348.000000</td>\n",
       "      <td>16879.000000</td>\n",
       "      <td>17348.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>16.184286</td>\n",
       "      <td>29.709578</td>\n",
       "      <td>6.392668</td>\n",
       "      <td>11.098282</td>\n",
       "      <td>17754.835601</td>\n",
       "      <td>42.995379</td>\n",
       "      <td>1990.480401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.199274</td>\n",
       "      <td>9.629246</td>\n",
       "      <td>3.420806</td>\n",
       "      <td>6.728713</td>\n",
       "      <td>10132.203323</td>\n",
       "      <td>36.184981</td>\n",
       "      <td>7.403655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1977.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8969.750000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1984.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>17727.500000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>1990.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>26454.250000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>1997.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>31.000000</td>\n",
       "      <td>58.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>35548.000000</td>\n",
       "      <td>280.000000</td>\n",
       "      <td>2002.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    day  hindfoot_length         month       plot_id  \\\n",
       "sex                                                                    \n",
       "F   count  15690.000000     14894.000000  15690.000000  15690.000000   \n",
       "    mean      16.007138        28.836780      6.583047     11.440854   \n",
       "    std        8.271144         9.463789      3.367350      6.870684   \n",
       "    min        1.000000         7.000000      1.000000      1.000000   \n",
       "    25%        9.000000        21.000000      4.000000      5.000000   \n",
       "    50%       16.000000        27.000000      7.000000     12.000000   \n",
       "    75%       23.000000        36.000000     10.000000     17.000000   \n",
       "    max       31.000000        64.000000     12.000000     24.000000   \n",
       "M   count  17348.000000     16476.000000  17348.000000  17348.000000   \n",
       "    mean      16.184286        29.709578      6.392668     11.098282   \n",
       "    std        8.199274         9.629246      3.420806      6.728713   \n",
       "    min        1.000000         2.000000      1.000000      1.000000   \n",
       "    25%        9.000000        21.000000      3.000000      5.000000   \n",
       "    50%       16.000000        34.000000      6.000000     11.000000   \n",
       "    75%       23.000000        36.000000      9.000000     17.000000   \n",
       "    max       31.000000        58.000000     12.000000     24.000000   \n",
       "\n",
       "              record_id        weight          year  \n",
       "sex                                                  \n",
       "F   count  15690.000000  15303.000000  15690.000000  \n",
       "    mean   18036.412046     42.170555   1990.644997  \n",
       "    std    10423.089000     36.847958      7.598725  \n",
       "    min        3.000000      4.000000   1977.000000  \n",
       "    25%     8917.500000     20.000000   1984.000000  \n",
       "    50%    18075.500000     34.000000   1990.000000  \n",
       "    75%    27250.000000     46.000000   1997.000000  \n",
       "    max    35547.000000    274.000000   2002.000000  \n",
       "M   count  17348.000000  16879.000000  17348.000000  \n",
       "    mean   17754.835601     42.995379   1990.480401  \n",
       "    std    10132.203323     36.184981      7.403655  \n",
       "    min        1.000000      4.000000   1977.000000  \n",
       "    25%     8969.750000     20.000000   1984.000000  \n",
       "    50%    17727.500000     39.000000   1990.000000  \n",
       "    75%    26454.250000     49.000000   1997.000000  \n",
       "    max    35548.000000    280.000000   2002.000000  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex\n",
       "F    42.170555\n",
       "M    42.995379\n",
       "Name: weight, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted['weight'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sorted2 = surveys_df.groupby(['sex', 'plot_id'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex  plot_id\n",
       "F    1          46.311138\n",
       "     2          52.561845\n",
       "     3          31.215349\n",
       "     4          46.818824\n",
       "     5          40.974806\n",
       "     6          36.352288\n",
       "     7          20.006135\n",
       "     8          45.623011\n",
       "     9          53.618469\n",
       "     10         17.094203\n",
       "     11         43.515075\n",
       "     12         49.831731\n",
       "     13         40.524590\n",
       "     14         47.355491\n",
       "     15         26.670236\n",
       "     16         25.810427\n",
       "     17         48.176201\n",
       "     18         36.963514\n",
       "     19         21.978599\n",
       "     20         52.624406\n",
       "     21         25.974832\n",
       "     22         53.647059\n",
       "     23         20.564417\n",
       "     24         47.914405\n",
       "M    1          55.950560\n",
       "     2          51.391382\n",
       "     3          34.163241\n",
       "     4          48.888119\n",
       "     5          40.708551\n",
       "     6          36.867388\n",
       "     7          21.194719\n",
       "     8          49.641372\n",
       "     9          49.519309\n",
       "     10         19.971223\n",
       "     11         43.366197\n",
       "     12         48.909710\n",
       "     13         40.097754\n",
       "     14         45.159378\n",
       "     15         27.523691\n",
       "     16         23.811321\n",
       "     17         47.558853\n",
       "     18         43.546952\n",
       "     19         20.306878\n",
       "     20         44.197279\n",
       "     21         22.772622\n",
       "     22         54.572531\n",
       "     23         18.941463\n",
       "     24         39.321503\n",
       "Name: weight, dtype: float64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted2['weight'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>record_id</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>plot_id</th>\n",
       "      <th>species_id</th>\n",
       "      <th>hindfoot_length</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>15690</td>\n",
       "      <td>15690</td>\n",
       "      <td>15690</td>\n",
       "      <td>15690</td>\n",
       "      <td>15690</td>\n",
       "      <td>15690</td>\n",
       "      <td>14894</td>\n",
       "      <td>15303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>17348</td>\n",
       "      <td>17348</td>\n",
       "      <td>17348</td>\n",
       "      <td>17348</td>\n",
       "      <td>17348</td>\n",
       "      <td>17348</td>\n",
       "      <td>16476</td>\n",
       "      <td>16879</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     record_id  month    day   year  plot_id  species_id  hindfoot_length  \\\n",
       "sex                                                                         \n",
       "F        15690  15690  15690  15690    15690       15690            14894   \n",
       "M        17348  17348  17348  17348    17348       17348            16476   \n",
       "\n",
       "     weight  \n",
       "sex          \n",
       "F     15303  \n",
       "M     16879  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "species_counts = surveys_df.groupby('species_id').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>record_id</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>plot_id</th>\n",
       "      <th>sex</th>\n",
       "      <th>hindfoot_length</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>species_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AB</th>\n",
       "      <td>303</td>\n",
       "      <td>303</td>\n",
       "      <td>303</td>\n",
       "      <td>303</td>\n",
       "      <td>303</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AH</th>\n",
       "      <td>437</td>\n",
       "      <td>437</td>\n",
       "      <td>437</td>\n",
       "      <td>437</td>\n",
       "      <td>437</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AS</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BA</th>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CB</th>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM</th>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CQ</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CS</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CT</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CU</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CV</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DM</th>\n",
       "      <td>10596</td>\n",
       "      <td>10596</td>\n",
       "      <td>10596</td>\n",
       "      <td>10596</td>\n",
       "      <td>10596</td>\n",
       "      <td>10523</td>\n",
       "      <td>9972</td>\n",
       "      <td>10262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DO</th>\n",
       "      <td>3027</td>\n",
       "      <td>3027</td>\n",
       "      <td>3027</td>\n",
       "      <td>3027</td>\n",
       "      <td>3027</td>\n",
       "      <td>3015</td>\n",
       "      <td>2887</td>\n",
       "      <td>2904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DS</th>\n",
       "      <td>2504</td>\n",
       "      <td>2504</td>\n",
       "      <td>2504</td>\n",
       "      <td>2504</td>\n",
       "      <td>2504</td>\n",
       "      <td>2458</td>\n",
       "      <td>2132</td>\n",
       "      <td>2344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DX</th>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NL</th>\n",
       "      <td>1252</td>\n",
       "      <td>1252</td>\n",
       "      <td>1252</td>\n",
       "      <td>1252</td>\n",
       "      <td>1252</td>\n",
       "      <td>1177</td>\n",
       "      <td>1074</td>\n",
       "      <td>1152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OL</th>\n",
       "      <td>1006</td>\n",
       "      <td>1006</td>\n",
       "      <td>1006</td>\n",
       "      <td>1006</td>\n",
       "      <td>1006</td>\n",
       "      <td>987</td>\n",
       "      <td>920</td>\n",
       "      <td>970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OT</th>\n",
       "      <td>2249</td>\n",
       "      <td>2249</td>\n",
       "      <td>2249</td>\n",
       "      <td>2249</td>\n",
       "      <td>2249</td>\n",
       "      <td>2213</td>\n",
       "      <td>2139</td>\n",
       "      <td>2160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OX</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PB</th>\n",
       "      <td>2891</td>\n",
       "      <td>2891</td>\n",
       "      <td>2891</td>\n",
       "      <td>2891</td>\n",
       "      <td>2891</td>\n",
       "      <td>2862</td>\n",
       "      <td>2864</td>\n",
       "      <td>2810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PC</th>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PE</th>\n",
       "      <td>1299</td>\n",
       "      <td>1299</td>\n",
       "      <td>1299</td>\n",
       "      <td>1299</td>\n",
       "      <td>1299</td>\n",
       "      <td>1277</td>\n",
       "      <td>1212</td>\n",
       "      <td>1260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PF</th>\n",
       "      <td>1597</td>\n",
       "      <td>1597</td>\n",
       "      <td>1597</td>\n",
       "      <td>1597</td>\n",
       "      <td>1597</td>\n",
       "      <td>1573</td>\n",
       "      <td>1493</td>\n",
       "      <td>1548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PG</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PH</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PI</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PL</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>35</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM</th>\n",
       "      <td>899</td>\n",
       "      <td>899</td>\n",
       "      <td>899</td>\n",
       "      <td>899</td>\n",
       "      <td>899</td>\n",
       "      <td>883</td>\n",
       "      <td>847</td>\n",
       "      <td>876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PP</th>\n",
       "      <td>3123</td>\n",
       "      <td>3123</td>\n",
       "      <td>3123</td>\n",
       "      <td>3123</td>\n",
       "      <td>3123</td>\n",
       "      <td>3076</td>\n",
       "      <td>3027</td>\n",
       "      <td>3024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PU</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PX</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RF</th>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>73</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RM</th>\n",
       "      <td>2609</td>\n",
       "      <td>2609</td>\n",
       "      <td>2609</td>\n",
       "      <td>2609</td>\n",
       "      <td>2609</td>\n",
       "      <td>2548</td>\n",
       "      <td>2442</td>\n",
       "      <td>2535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RO</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RX</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SA</th>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SC</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SF</th>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>40</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SH</th>\n",
       "      <td>147</td>\n",
       "      <td>147</td>\n",
       "      <td>147</td>\n",
       "      <td>147</td>\n",
       "      <td>147</td>\n",
       "      <td>143</td>\n",
       "      <td>131</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SO</th>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SS</th>\n",
       "      <td>248</td>\n",
       "      <td>248</td>\n",
       "      <td>248</td>\n",
       "      <td>248</td>\n",
       "      <td>248</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ST</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SU</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UL</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UP</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UR</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>US</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZL</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            record_id  month    day   year  plot_id    sex  hindfoot_length  \\\n",
       "species_id                                                                    \n",
       "AB                303    303    303    303      303      0                0   \n",
       "AH                437    437    437    437      437      1                2   \n",
       "AS                  2      2      2      2        2      0                0   \n",
       "BA                 46     46     46     46       46     45               45   \n",
       "CB                 50     50     50     50       50      0                0   \n",
       "CM                 13     13     13     13       13      0                0   \n",
       "CQ                 16     16     16     16       16      0                0   \n",
       "CS                  1      1      1      1        1      0                0   \n",
       "CT                  1      1      1      1        1      0                0   \n",
       "CU                  1      1      1      1        1      0                0   \n",
       "CV                  1      1      1      1        1      0                0   \n",
       "DM              10596  10596  10596  10596    10596  10523             9972   \n",
       "DO               3027   3027   3027   3027     3027   3015             2887   \n",
       "DS               2504   2504   2504   2504     2504   2458             2132   \n",
       "DX                 40     40     40     40       40      0                0   \n",
       "NL               1252   1252   1252   1252     1252   1177             1074   \n",
       "OL               1006   1006   1006   1006     1006    987              920   \n",
       "OT               2249   2249   2249   2249     2249   2213             2139   \n",
       "OX                 12     12     12     12       12      9                8   \n",
       "PB               2891   2891   2891   2891     2891   2862             2864   \n",
       "PC                 39     39     39     39       39      0                0   \n",
       "PE               1299   1299   1299   1299     1299   1277             1212   \n",
       "PF               1597   1597   1597   1597     1597   1573             1493   \n",
       "PG                  8      8      8      8        8      0                0   \n",
       "PH                 32     32     32     32       32     32               31   \n",
       "PI                  9      9      9      9        9      8                9   \n",
       "PL                 36     36     36     36       36     35               36   \n",
       "PM                899    899    899    899      899    883              847   \n",
       "PP               3123   3123   3123   3123     3123   3076             3027   \n",
       "PU                  5      5      5      5        5      0                0   \n",
       "PX                  6      6      6      6        6      2                2   \n",
       "RF                 75     75     75     75       75     75               73   \n",
       "RM               2609   2609   2609   2609     2609   2548             2442   \n",
       "RO                  8      8      8      8        8      8                8   \n",
       "RX                  2      2      2      2        2      2                2   \n",
       "SA                 75     75     75     75       75      0                0   \n",
       "SC                  1      1      1      1        1      0                0   \n",
       "SF                 43     43     43     43       43     40               41   \n",
       "SH                147    147    147    147      147    143              131   \n",
       "SO                 43     43     43     43       43     43               41   \n",
       "SS                248    248    248    248      248      3                0   \n",
       "ST                  1      1      1      1        1      0                0   \n",
       "SU                  5      5      5      5        5      0                0   \n",
       "UL                  4      4      4      4        4      0                0   \n",
       "UP                  8      8      8      8        8      0                0   \n",
       "UR                 10     10     10     10       10      0                0   \n",
       "US                  4      4      4      4        4      0                0   \n",
       "ZL                  2      2      2      2        2      0                0   \n",
       "\n",
       "            weight  \n",
       "species_id          \n",
       "AB               0  \n",
       "AH               0  \n",
       "AS               0  \n",
       "BA              45  \n",
       "CB               0  \n",
       "CM               0  \n",
       "CQ               0  \n",
       "CS               0  \n",
       "CT               0  \n",
       "CU               0  \n",
       "CV               0  \n",
       "DM           10262  \n",
       "DO            2904  \n",
       "DS            2344  \n",
       "DX               0  \n",
       "NL            1152  \n",
       "OL             970  \n",
       "OT            2160  \n",
       "OX               6  \n",
       "PB            2810  \n",
       "PC               0  \n",
       "PE            1260  \n",
       "PF            1548  \n",
       "PG               0  \n",
       "PH              31  \n",
       "PI               8  \n",
       "PL              36  \n",
       "PM             876  \n",
       "PP            3024  \n",
       "PU               0  \n",
       "PX               2  \n",
       "RF              75  \n",
       "RM            2535  \n",
       "RO               8  \n",
       "RX               2  \n",
       "SA               0  \n",
       "SC               0  \n",
       "SF              41  \n",
       "SH             141  \n",
       "SO              41  \n",
       "SS               2  \n",
       "ST               0  \n",
       "SU               0  \n",
       "UL               0  \n",
       "UP               0  \n",
       "UR               0  \n",
       "US               0  \n",
       "ZL               0  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "species_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0          NaN\n",
       "1          NaN\n",
       "2          NaN\n",
       "3          NaN\n",
       "4          NaN\n",
       "5          NaN\n",
       "6          NaN\n",
       "7          NaN\n",
       "8          NaN\n",
       "9          NaN\n",
       "10         NaN\n",
       "11         NaN\n",
       "12         NaN\n",
       "13         NaN\n",
       "14         NaN\n",
       "15         NaN\n",
       "16         NaN\n",
       "17         NaN\n",
       "18         NaN\n",
       "19         NaN\n",
       "20         NaN\n",
       "21         NaN\n",
       "22         NaN\n",
       "23         NaN\n",
       "24         NaN\n",
       "25         NaN\n",
       "26         NaN\n",
       "27         NaN\n",
       "28         NaN\n",
       "29         NaN\n",
       "         ...  \n",
       "35519    180.0\n",
       "35520    240.0\n",
       "35521    225.0\n",
       "35522    220.0\n",
       "35523    135.0\n",
       "35524    130.0\n",
       "35525    120.0\n",
       "35526    215.0\n",
       "35527      NaN\n",
       "35528    125.0\n",
       "35529      NaN\n",
       "35530      NaN\n",
       "35531    215.0\n",
       "35532    240.0\n",
       "35533    280.0\n",
       "35534    265.0\n",
       "35535    210.0\n",
       "35536    230.0\n",
       "35537    155.0\n",
       "35538    340.0\n",
       "35539    115.0\n",
       "35540    155.0\n",
       "35541    145.0\n",
       "35542    170.0\n",
       "35543      NaN\n",
       "35544      NaN\n",
       "35545      NaN\n",
       "35546     70.0\n",
       "35547    255.0\n",
       "35548      NaN\n",
       "Name: weight, dtype: float64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_df['weight']*5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "surveys_df['weight2'] = surveys_df['weight']*5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "del surveys_df['weight2']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/lucymorris/anaconda/lib/python3.5/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n",
      "  warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n",
      "/Users/lucymorris/anaconda/lib/python3.5/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.\n",
      "  warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x115706978>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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aEYExplaMGzeO9PR02rZty7Bhw/jiiy+OaLq5c+dy9dVX06tXL1q0aFFpWNpQ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\nQGCMMXHOAoExxsS5/w9YvWnSMNeZOwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115706128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "species_counts = surveys_df.groupby('species_id').count()\n",
    "species_counts.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "total_count = surveys_df['species_id'].groupby(surveys_df['plot_id']).nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "plot_id\n",
       "1     23\n",
       "2     28\n",
       "3     30\n",
       "4     20\n",
       "5     26\n",
       "6     23\n",
       "7     21\n",
       "8     23\n",
       "9     24\n",
       "10    23\n",
       "11    29\n",
       "12    25\n",
       "13    26\n",
       "14    23\n",
       "15    26\n",
       "16    22\n",
       "17    21\n",
       "18    26\n",
       "19    27\n",
       "20    25\n",
       "21    26\n",
       "22    23\n",
       "23    27\n",
       "24    21\n",
       "dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113385a90>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x113373710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "total_count.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "surveys_df = pd.read_csv(\"surveys.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>record_id</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>plot_id</th>\n",
       "      <th>species_id</th>\n",
       "      <th>sex</th>\n",
       "      <th>hindfoot_length</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>NL</td>\n",
       "      <td>M</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>NL</td>\n",
       "      <td>M</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>7</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>PF</td>\n",
       "      <td>M</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>PE</td>\n",
       "      <td>F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>6</td>\n",
       "      <td>PF</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>5</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>53.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>7</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>8</td>\n",
       "      <td>DM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>6</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>4</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>PP</td>\n",
       "      <td>M</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>4</td>\n",
       "      <td>PF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>11</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>15</td>\n",
       "      <td>NL</td>\n",
       "      <td>F</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>13</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>24</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>13</td>\n",
       "      <td>SH</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>25</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>26</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>15</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>27</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>15</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>11</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>38.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>29</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>11</td>\n",
       "      <td>PP</td>\n",
       "      <td>M</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>7</td>\n",
       "      <td>17</td>\n",
       "      <td>1977</td>\n",
       "      <td>10</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>52.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35519</th>\n",
       "      <td>35520</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>SF</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35520</th>\n",
       "      <td>35521</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35521</th>\n",
       "      <td>35522</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>35.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35522</th>\n",
       "      <td>35523</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35523</th>\n",
       "      <td>35524</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>25.0</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35524</th>\n",
       "      <td>35525</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>9</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35525</th>\n",
       "      <td>35526</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>8</td>\n",
       "      <td>OT</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35526</th>\n",
       "      <td>35527</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>DO</td>\n",
       "      <td>F</td>\n",
       "      <td>33.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35527</th>\n",
       "      <td>35528</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35528</th>\n",
       "      <td>35529</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>25.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35529</th>\n",
       "      <td>35530</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>OT</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35530</th>\n",
       "      <td>35531</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35531</th>\n",
       "      <td>35532</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35532</th>\n",
       "      <td>35533</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35533</th>\n",
       "      <td>35534</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>56.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35534</th>\n",
       "      <td>35535</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35535</th>\n",
       "      <td>35536</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>35.0</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35536</th>\n",
       "      <td>35537</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>14</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35537</th>\n",
       "      <td>35538</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35538</th>\n",
       "      <td>35539</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>SF</td>\n",
       "      <td>M</td>\n",
       "      <td>26.0</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35539</th>\n",
       "      <td>35540</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35540</th>\n",
       "      <td>35541</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>24.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35541</th>\n",
       "      <td>35542</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35542</th>\n",
       "      <td>35543</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>27.0</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35543</th>\n",
       "      <td>35544</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35544</th>\n",
       "      <td>35545</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>AH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35545</th>\n",
       "      <td>35546</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>AH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35546</th>\n",
       "      <td>35547</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>10</td>\n",
       "      <td>RM</td>\n",
       "      <td>F</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35547</th>\n",
       "      <td>35548</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>7</td>\n",
       "      <td>DO</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35548</th>\n",
       "      <td>35549</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35549 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       record_id  month  day  year  plot_id species_id  sex  hindfoot_length  \\\n",
       "0              1      7   16  1977        2         NL    M             32.0   \n",
       "1              2      7   16  1977        3         NL    M             33.0   \n",
       "2              3      7   16  1977        2         DM    F             37.0   \n",
       "3              4      7   16  1977        7         DM    M             36.0   \n",
       "4              5      7   16  1977        3         DM    M             35.0   \n",
       "5              6      7   16  1977        1         PF    M             14.0   \n",
       "6              7      7   16  1977        2         PE    F              NaN   \n",
       "7              8      7   16  1977        1         DM    M             37.0   \n",
       "8              9      7   16  1977        1         DM    F             34.0   \n",
       "9             10      7   16  1977        6         PF    F             20.0   \n",
       "10            11      7   16  1977        5         DS    F             53.0   \n",
       "11            12      7   16  1977        7         DM    M             38.0   \n",
       "12            13      7   16  1977        3         DM    M             35.0   \n",
       "13            14      7   16  1977        8         DM  NaN              NaN   \n",
       "14            15      7   16  1977        6         DM    F             36.0   \n",
       "15            16      7   16  1977        4         DM    F             36.0   \n",
       "16            17      7   16  1977        3         DS    F             48.0   \n",
       "17            18      7   16  1977        2         PP    M             22.0   \n",
       "18            19      7   16  1977        4         PF  NaN              NaN   \n",
       "19            20      7   17  1977       11         DS    F             48.0   \n",
       "20            21      7   17  1977       14         DM    F             34.0   \n",
       "21            22      7   17  1977       15         NL    F             31.0   \n",
       "22            23      7   17  1977       13         DM    M             36.0   \n",
       "23            24      7   17  1977       13         SH    M             21.0   \n",
       "24            25      7   17  1977        9         DM    M             35.0   \n",
       "25            26      7   17  1977       15         DM    M             31.0   \n",
       "26            27      7   17  1977       15         DM    M             36.0   \n",
       "27            28      7   17  1977       11         DM    M             38.0   \n",
       "28            29      7   17  1977       11         PP    M              NaN   \n",
       "29            30      7   17  1977       10         DS    F             52.0   \n",
       "...          ...    ...  ...   ...      ...        ...  ...              ...   \n",
       "35519      35520     12   31  2002        9         SF  NaN             24.0   \n",
       "35520      35521     12   31  2002        9         DM    M             37.0   \n",
       "35521      35522     12   31  2002        9         DM    F             35.0   \n",
       "35522      35523     12   31  2002        9         DM    F             36.0   \n",
       "35523      35524     12   31  2002        9         PB    F             25.0   \n",
       "35524      35525     12   31  2002        9         OL    M             21.0   \n",
       "35525      35526     12   31  2002        8         OT    F             20.0   \n",
       "35526      35527     12   31  2002       13         DO    F             33.0   \n",
       "35527      35528     12   31  2002       13         US  NaN              NaN   \n",
       "35528      35529     12   31  2002       13         PB    F             25.0   \n",
       "35529      35530     12   31  2002       13         OT    F             20.0   \n",
       "35530      35531     12   31  2002       13         PB    F             27.0   \n",
       "35531      35532     12   31  2002       14         DM    F             34.0   \n",
       "35532      35533     12   31  2002       14         DM    F             36.0   \n",
       "35533      35534     12   31  2002       14         DM    M             37.0   \n",
       "35534      35535     12   31  2002       14         DM    M             37.0   \n",
       "35535      35536     12   31  2002       14         DM    F             35.0   \n",
       "35536      35537     12   31  2002       14         DM    F             36.0   \n",
       "35537      35538     12   31  2002       15         PB    F             26.0   \n",
       "35538      35539     12   31  2002       15         SF    M             26.0   \n",
       "35539      35540     12   31  2002       15         PB    F             26.0   \n",
       "35540      35541     12   31  2002       15         PB    F             24.0   \n",
       "35541      35542     12   31  2002       15         PB    F             26.0   \n",
       "35542      35543     12   31  2002       15         PB    F             27.0   \n",
       "35543      35544     12   31  2002       15         US  NaN              NaN   \n",
       "35544      35545     12   31  2002       15         AH  NaN              NaN   \n",
       "35545      35546     12   31  2002       15         AH  NaN              NaN   \n",
       "35546      35547     12   31  2002       10         RM    F             15.0   \n",
       "35547      35548     12   31  2002        7         DO    M             36.0   \n",
       "35548      35549     12   31  2002        5        NaN  NaN              NaN   \n",
       "\n",
       "       weight  \n",
       "0         NaN  \n",
       "1         NaN  \n",
       "2         NaN  \n",
       "3         NaN  \n",
       "4         NaN  \n",
       "5         NaN  \n",
       "6         NaN  \n",
       "7         NaN  \n",
       "8         NaN  \n",
       "9         NaN  \n",
       "10        NaN  \n",
       "11        NaN  \n",
       "12        NaN  \n",
       "13        NaN  \n",
       "14        NaN  \n",
       "15        NaN  \n",
       "16        NaN  \n",
       "17        NaN  \n",
       "18        NaN  \n",
       "19        NaN  \n",
       "20        NaN  \n",
       "21        NaN  \n",
       "22        NaN  \n",
       "23        NaN  \n",
       "24        NaN  \n",
       "25        NaN  \n",
       "26        NaN  \n",
       "27        NaN  \n",
       "28        NaN  \n",
       "29        NaN  \n",
       "...       ...  \n",
       "35519    36.0  \n",
       "35520    48.0  \n",
       "35521    45.0  \n",
       "35522    44.0  \n",
       "35523    27.0  \n",
       "35524    26.0  \n",
       "35525    24.0  \n",
       "35526    43.0  \n",
       "35527     NaN  \n",
       "35528    25.0  \n",
       "35529     NaN  \n",
       "35530     NaN  \n",
       "35531    43.0  \n",
       "35532    48.0  \n",
       "35533    56.0  \n",
       "35534    53.0  \n",
       "35535    42.0  \n",
       "35536    46.0  \n",
       "35537    31.0  \n",
       "35538    68.0  \n",
       "35539    23.0  \n",
       "35540    31.0  \n",
       "35541    29.0  \n",
       "35542    34.0  \n",
       "35543     NaN  \n",
       "35544     NaN  \n",
       "35545     NaN  \n",
       "35546    14.0  \n",
       "35547    51.0  \n",
       "35548     NaN  \n",
       "\n",
       "[35549 rows x 9 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "species_df = pd.read_csv(\"species.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>species_id</th>\n",
       "      <th>genus</th>\n",
       "      <th>species</th>\n",
       "      <th>taxa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AH</td>\n",
       "      <td>Ammospermophilus</td>\n",
       "      <td>harrisi</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AS</td>\n",
       "      <td>Ammodramus</td>\n",
       "      <td>savannarum</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BA</td>\n",
       "      <td>Baiomys</td>\n",
       "      <td>taylori</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CB</td>\n",
       "      <td>Campylorhynchus</td>\n",
       "      <td>brunneicapillus</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CM</td>\n",
       "      <td>Calamospiza</td>\n",
       "      <td>melanocorys</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CQ</td>\n",
       "      <td>Callipepla</td>\n",
       "      <td>squamata</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CS</td>\n",
       "      <td>Crotalus</td>\n",
       "      <td>scutalatus</td>\n",
       "      <td>Reptile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CT</td>\n",
       "      <td>Cnemidophorus</td>\n",
       "      <td>tigris</td>\n",
       "      <td>Reptile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CU</td>\n",
       "      <td>Cnemidophorus</td>\n",
       "      <td>uniparens</td>\n",
       "      <td>Reptile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CV</td>\n",
       "      <td>Crotalus</td>\n",
       "      <td>viridis</td>\n",
       "      <td>Reptile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>DM</td>\n",
       "      <td>Dipodomys</td>\n",
       "      <td>merriami</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>DO</td>\n",
       "      <td>Dipodomys</td>\n",
       "      <td>ordii</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>DS</td>\n",
       "      <td>Dipodomys</td>\n",
       "      <td>spectabilis</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>DX</td>\n",
       "      <td>Dipodomys</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>EO</td>\n",
       "      <td>Eumeces</td>\n",
       "      <td>obsoletus</td>\n",
       "      <td>Reptile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>GS</td>\n",
       "      <td>Gambelia</td>\n",
       "      <td>silus</td>\n",
       "      <td>Reptile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NL</td>\n",
       "      <td>Neotoma</td>\n",
       "      <td>albigula</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NX</td>\n",
       "      <td>Neotoma</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>OL</td>\n",
       "      <td>Onychomys</td>\n",
       "      <td>leucogaster</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>OT</td>\n",
       "      <td>Onychomys</td>\n",
       "      <td>torridus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>OX</td>\n",
       "      <td>Onychomys</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>PB</td>\n",
       "      <td>Chaetodipus</td>\n",
       "      <td>baileyi</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>PC</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>chlorurus</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>PE</td>\n",
       "      <td>Peromyscus</td>\n",
       "      <td>eremicus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>PF</td>\n",
       "      <td>Perognathus</td>\n",
       "      <td>flavus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>PG</td>\n",
       "      <td>Pooecetes</td>\n",
       "      <td>gramineus</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>PH</td>\n",
       "      <td>Perognathus</td>\n",
       "      <td>hispidus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>PI</td>\n",
       "      <td>Chaetodipus</td>\n",
       "      <td>intermedius</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>PL</td>\n",
       "      <td>Peromyscus</td>\n",
       "      <td>leucopus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>PM</td>\n",
       "      <td>Peromyscus</td>\n",
       "      <td>maniculatus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>PP</td>\n",
       "      <td>Chaetodipus</td>\n",
       "      <td>penicillatus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>PU</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>fuscus</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>PX</td>\n",
       "      <td>Chaetodipus</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>RF</td>\n",
       "      <td>Reithrodontomys</td>\n",
       "      <td>fulvescens</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>RM</td>\n",
       "      <td>Reithrodontomys</td>\n",
       "      <td>megalotis</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>RO</td>\n",
       "      <td>Reithrodontomys</td>\n",
       "      <td>montanus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>RX</td>\n",
       "      <td>Reithrodontomys</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>SA</td>\n",
       "      <td>Sylvilagus</td>\n",
       "      <td>audubonii</td>\n",
       "      <td>Rabbit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>SB</td>\n",
       "      <td>Spizella</td>\n",
       "      <td>breweri</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>SC</td>\n",
       "      <td>Sceloporus</td>\n",
       "      <td>clarki</td>\n",
       "      <td>Reptile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>SF</td>\n",
       "      <td>Sigmodon</td>\n",
       "      <td>fulviventer</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>SH</td>\n",
       "      <td>Sigmodon</td>\n",
       "      <td>hispidus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>SO</td>\n",
       "      <td>Sigmodon</td>\n",
       "      <td>ochrognathus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>SS</td>\n",
       "      <td>Spermophilus</td>\n",
       "      <td>spilosoma</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>ST</td>\n",
       "      <td>Spermophilus</td>\n",
       "      <td>tereticaudus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>SU</td>\n",
       "      <td>Sceloporus</td>\n",
       "      <td>undulatus</td>\n",
       "      <td>Reptile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>SX</td>\n",
       "      <td>Sigmodon</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>UL</td>\n",
       "      <td>Lizard</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Reptile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>UP</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>US</td>\n",
       "      <td>Sparrow</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>ZL</td>\n",
       "      <td>Zonotrichia</td>\n",
       "      <td>leucophrys</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>ZM</td>\n",
       "      <td>Zenaida</td>\n",
       "      <td>macroura</td>\n",
       "      <td>Bird</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   species_id             genus          species     taxa\n",
       "0          AB        Amphispiza        bilineata     Bird\n",
       "1          AH  Ammospermophilus          harrisi   Rodent\n",
       "2          AS        Ammodramus       savannarum     Bird\n",
       "3          BA           Baiomys          taylori   Rodent\n",
       "4          CB   Campylorhynchus  brunneicapillus     Bird\n",
       "5          CM       Calamospiza      melanocorys     Bird\n",
       "6          CQ        Callipepla         squamata     Bird\n",
       "7          CS          Crotalus       scutalatus  Reptile\n",
       "8          CT     Cnemidophorus           tigris  Reptile\n",
       "9          CU     Cnemidophorus        uniparens  Reptile\n",
       "10         CV          Crotalus          viridis  Reptile\n",
       "11         DM         Dipodomys         merriami   Rodent\n",
       "12         DO         Dipodomys            ordii   Rodent\n",
       "13         DS         Dipodomys      spectabilis   Rodent\n",
       "14         DX         Dipodomys              sp.   Rodent\n",
       "15         EO           Eumeces        obsoletus  Reptile\n",
       "16         GS          Gambelia            silus  Reptile\n",
       "17         NL           Neotoma         albigula   Rodent\n",
       "18         NX           Neotoma              sp.   Rodent\n",
       "19         OL         Onychomys      leucogaster   Rodent\n",
       "20         OT         Onychomys         torridus   Rodent\n",
       "21         OX         Onychomys              sp.   Rodent\n",
       "22         PB       Chaetodipus          baileyi   Rodent\n",
       "23         PC            Pipilo        chlorurus     Bird\n",
       "24         PE        Peromyscus         eremicus   Rodent\n",
       "25         PF       Perognathus           flavus   Rodent\n",
       "26         PG         Pooecetes        gramineus     Bird\n",
       "27         PH       Perognathus         hispidus   Rodent\n",
       "28         PI       Chaetodipus      intermedius   Rodent\n",
       "29         PL        Peromyscus         leucopus   Rodent\n",
       "30         PM        Peromyscus      maniculatus   Rodent\n",
       "31         PP       Chaetodipus     penicillatus   Rodent\n",
       "32         PU            Pipilo           fuscus     Bird\n",
       "33         PX       Chaetodipus              sp.   Rodent\n",
       "34         RF   Reithrodontomys       fulvescens   Rodent\n",
       "35         RM   Reithrodontomys        megalotis   Rodent\n",
       "36         RO   Reithrodontomys         montanus   Rodent\n",
       "37         RX   Reithrodontomys              sp.   Rodent\n",
       "38         SA        Sylvilagus        audubonii   Rabbit\n",
       "39         SB          Spizella          breweri     Bird\n",
       "40         SC        Sceloporus           clarki  Reptile\n",
       "41         SF          Sigmodon      fulviventer   Rodent\n",
       "42         SH          Sigmodon         hispidus   Rodent\n",
       "43         SO          Sigmodon     ochrognathus   Rodent\n",
       "44         SS      Spermophilus        spilosoma   Rodent\n",
       "45         ST      Spermophilus     tereticaudus   Rodent\n",
       "46         SU        Sceloporus        undulatus  Reptile\n",
       "47         SX          Sigmodon              sp.   Rodent\n",
       "48         UL            Lizard              sp.  Reptile\n",
       "49         UP            Pipilo              sp.     Bird\n",
       "50         UR            Rodent              sp.   Rodent\n",
       "51         US           Sparrow              sp.     Bird\n",
       "52         ZL       Zonotrichia       leucophrys     Bird\n",
       "53         ZM           Zenaida         macroura     Bird"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "species_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "surveySub = surveys_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "      <th>hindfoot_length</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "      <th>8</th>\n",
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       "      <th>9</th>\n",
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       "      <td>7</td>\n",
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       "      <td>1977</td>\n",
       "      <td>6</td>\n",
       "      <td>PF</td>\n",
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       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   record_id  month  day  year  plot_id species_id sex  hindfoot_length  \\\n",
       "0          1      7   16  1977        2         NL   M             32.0   \n",
       "1          2      7   16  1977        3         NL   M             33.0   \n",
       "2          3      7   16  1977        2         DM   F             37.0   \n",
       "3          4      7   16  1977        7         DM   M             36.0   \n",
       "4          5      7   16  1977        3         DM   M             35.0   \n",
       "5          6      7   16  1977        1         PF   M             14.0   \n",
       "6          7      7   16  1977        2         PE   F              NaN   \n",
       "7          8      7   16  1977        1         DM   M             37.0   \n",
       "8          9      7   16  1977        1         DM   F             34.0   \n",
       "9         10      7   16  1977        6         PF   F             20.0   \n",
       "\n",
       "   weight  \n",
       "0     NaN  \n",
       "1     NaN  \n",
       "2     NaN  \n",
       "3     NaN  \n",
       "4     NaN  \n",
       "5     NaN  \n",
       "6     NaN  \n",
       "7     NaN  \n",
       "8     NaN  \n",
       "9     NaN  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveySub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "surveySubLast10 = surveys_df[-11:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th>record_id</th>\n",
       "      <th>month</th>\n",
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       "      <th>35538</th>\n",
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       "      <td>27.0</td>\n",
       "      <td>34.0</td>\n",
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       "      <th>35543</th>\n",
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       "    <tr>\n",
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       "      <td>12</td>\n",
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       "      <td>7</td>\n",
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       "      <td>36.0</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       record_id  month  day  year  plot_id species_id  sex  hindfoot_length  \\\n",
       "35538      35539     12   31  2002       15         SF    M             26.0   \n",
       "35539      35540     12   31  2002       15         PB    F             26.0   \n",
       "35540      35541     12   31  2002       15         PB    F             24.0   \n",
       "35541      35542     12   31  2002       15         PB    F             26.0   \n",
       "35542      35543     12   31  2002       15         PB    F             27.0   \n",
       "35543      35544     12   31  2002       15         US  NaN              NaN   \n",
       "35544      35545     12   31  2002       15         AH  NaN              NaN   \n",
       "35545      35546     12   31  2002       15         AH  NaN              NaN   \n",
       "35546      35547     12   31  2002       10         RM    F             15.0   \n",
       "35547      35548     12   31  2002        7         DO    M             36.0   \n",
       "\n",
       "       weight  \n",
       "35538    68.0  \n",
       "35539    23.0  \n",
       "35540    31.0  \n",
       "35541    29.0  \n",
       "35542    34.0  \n",
       "35543     NaN  \n",
       "35544     NaN  \n",
       "35545     NaN  \n",
       "35546    14.0  \n",
       "35547    51.0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveySubLast10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "surveySubLast10 = surveySubLast10.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
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       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>SF</td>\n",
       "      <td>M</td>\n",
       "      <td>26.0</td>\n",
       "      <td>68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>35540</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35541</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>24.0</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>35542</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>26.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35543</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>PB</td>\n",
       "      <td>F</td>\n",
       "      <td>27.0</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>35544</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>US</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>35545</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>AH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>35546</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>AH</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>35547</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>10</td>\n",
       "      <td>RM</td>\n",
       "      <td>F</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>35548</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>7</td>\n",
       "      <td>DO</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>51.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   record_id  month  day  year  plot_id species_id  sex  hindfoot_length  \\\n",
       "0          1      7   16  1977        2         NL    M             32.0   \n",
       "1          2      7   16  1977        3         NL    M             33.0   \n",
       "2          3      7   16  1977        2         DM    F             37.0   \n",
       "3          4      7   16  1977        7         DM    M             36.0   \n",
       "4          5      7   16  1977        3         DM    M             35.0   \n",
       "5          6      7   16  1977        1         PF    M             14.0   \n",
       "6          7      7   16  1977        2         PE    F              NaN   \n",
       "7          8      7   16  1977        1         DM    M             37.0   \n",
       "8          9      7   16  1977        1         DM    F             34.0   \n",
       "9         10      7   16  1977        6         PF    F             20.0   \n",
       "0      35539     12   31  2002       15         SF    M             26.0   \n",
       "1      35540     12   31  2002       15         PB    F             26.0   \n",
       "2      35541     12   31  2002       15         PB    F             24.0   \n",
       "3      35542     12   31  2002       15         PB    F             26.0   \n",
       "4      35543     12   31  2002       15         PB    F             27.0   \n",
       "5      35544     12   31  2002       15         US  NaN              NaN   \n",
       "6      35545     12   31  2002       15         AH  NaN              NaN   \n",
       "7      35546     12   31  2002       15         AH  NaN              NaN   \n",
       "8      35547     12   31  2002       10         RM    F             15.0   \n",
       "9      35548     12   31  2002        7         DO    M             36.0   \n",
       "\n",
       "   weight  \n",
       "0     NaN  \n",
       "1     NaN  \n",
       "2     NaN  \n",
       "3     NaN  \n",
       "4     NaN  \n",
       "5     NaN  \n",
       "6     NaN  \n",
       "7     NaN  \n",
       "8     NaN  \n",
       "9     NaN  \n",
       "0    68.0  \n",
       "1    23.0  \n",
       "2    31.0  \n",
       "3    29.0  \n",
       "4    34.0  \n",
       "5     NaN  \n",
       "6     NaN  \n",
       "7     NaN  \n",
       "8    14.0  \n",
       "9    51.0  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vertical_stack = pd.concat([surveySub, surveySubLast10], axis = 0)\n",
    "vertical_stack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "vertical_stack.to_csv('out.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "surveys_1980 = surveys_df[surveys_df.year == 1980]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "surveys_1982 = surveys_df[surveys_df.year == 1982]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>record_id</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>plot_id</th>\n",
       "      <th>species_id</th>\n",
       "      <th>sex</th>\n",
       "      <th>hindfoot_length</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2271</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>8</td>\n",
       "      <td>DO</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>53.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2272</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>11</td>\n",
       "      <td>PF</td>\n",
       "      <td>F</td>\n",
       "      <td>16.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2273</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>18</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2274</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>11</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>38.0</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2275</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>8</td>\n",
       "      <td>DO</td>\n",
       "      <td>F</td>\n",
       "      <td>33.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2276</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>11</td>\n",
       "      <td>DS</td>\n",
       "      <td>M</td>\n",
       "      <td>47.0</td>\n",
       "      <td>132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2277</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>8</td>\n",
       "      <td>PF</td>\n",
       "      <td>M</td>\n",
       "      <td>15.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2278</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>9</td>\n",
       "      <td>OT</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2279</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>11</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2280</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>21</td>\n",
       "      <td>OT</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2281</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>11</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>20.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2282</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>17</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2283</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>11</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2284</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>9</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>20.0</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2285</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>10</td>\n",
       "      <td>OL</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2286</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>11</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>38.0</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2287</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>21</td>\n",
       "      <td>OT</td>\n",
       "      <td>M</td>\n",
       "      <td>19.0</td>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2288</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>19</td>\n",
       "      <td>RM</td>\n",
       "      <td>F</td>\n",
       "      <td>17.0</td>\n",
       "      <td>12.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2289</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>20</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>52.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2290</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>11</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2291</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>9</td>\n",
       "      <td>OL</td>\n",
       "      <td>F</td>\n",
       "      <td>21.0</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2292</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>12</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>35.0</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2293</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>18</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>51.0</td>\n",
       "      <td>132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2294</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>22</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2295</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>9</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2296</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>8</td>\n",
       "      <td>DO</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2297</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>11</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2298</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>17</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2299</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>38.0</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2300</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>18</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>32.0</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3363</th>\n",
       "      <td>7106</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>9</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>50.0</td>\n",
       "      <td>132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3364</th>\n",
       "      <td>7107</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>1</td>\n",
       "      <td>DO</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3365</th>\n",
       "      <td>7108</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>12</td>\n",
       "      <td>PF</td>\n",
       "      <td>F</td>\n",
       "      <td>16.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3366</th>\n",
       "      <td>7109</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>9</td>\n",
       "      <td>DS</td>\n",
       "      <td>M</td>\n",
       "      <td>49.0</td>\n",
       "      <td>130.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3367</th>\n",
       "      <td>7110</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>11</td>\n",
       "      <td>PF</td>\n",
       "      <td>M</td>\n",
       "      <td>16.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3368</th>\n",
       "      <td>7111</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>4</td>\n",
       "      <td>PF</td>\n",
       "      <td>M</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3369</th>\n",
       "      <td>7112</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>1</td>\n",
       "      <td>DO</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3370</th>\n",
       "      <td>7113</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>4</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>52.0</td>\n",
       "      <td>119.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3371</th>\n",
       "      <td>7114</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>11</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>51.0</td>\n",
       "      <td>111.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3372</th>\n",
       "      <td>7115</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>1</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>19.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3373</th>\n",
       "      <td>7116</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>2</td>\n",
       "      <td>DO</td>\n",
       "      <td>F</td>\n",
       "      <td>35.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3374</th>\n",
       "      <td>7117</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>4</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>33.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3375</th>\n",
       "      <td>7118</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>1</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3376</th>\n",
       "      <td>7119</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>2</td>\n",
       "      <td>DO</td>\n",
       "      <td>F</td>\n",
       "      <td>36.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3377</th>\n",
       "      <td>7120</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>5</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3378</th>\n",
       "      <td>7121</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>8</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>50.0</td>\n",
       "      <td>106.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3379</th>\n",
       "      <td>7122</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>8</td>\n",
       "      <td>PF</td>\n",
       "      <td>M</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3380</th>\n",
       "      <td>7123</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>33.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3381</th>\n",
       "      <td>7124</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>3</td>\n",
       "      <td>PF</td>\n",
       "      <td>M</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3382</th>\n",
       "      <td>7125</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>4</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>48.0</td>\n",
       "      <td>122.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3383</th>\n",
       "      <td>7126</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>5</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3384</th>\n",
       "      <td>7127</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>5</td>\n",
       "      <td>OL</td>\n",
       "      <td>M</td>\n",
       "      <td>22.0</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3385</th>\n",
       "      <td>7128</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>9</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>33.0</td>\n",
       "      <td>36.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3386</th>\n",
       "      <td>7129</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>12</td>\n",
       "      <td>DS</td>\n",
       "      <td>F</td>\n",
       "      <td>48.0</td>\n",
       "      <td>102.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3387</th>\n",
       "      <td>7130</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3388</th>\n",
       "      <td>7131</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>6</td>\n",
       "      <td>OT</td>\n",
       "      <td>F</td>\n",
       "      <td>19.0</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3389</th>\n",
       "      <td>7132</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>11</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3390</th>\n",
       "      <td>7133</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3391</th>\n",
       "      <td>7134</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>6</td>\n",
       "      <td>OT</td>\n",
       "      <td>M</td>\n",
       "      <td>21.0</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3392</th>\n",
       "      <td>7135</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1982</td>\n",
       "      <td>12</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3393 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      record_id  month  day  year  plot_id species_id sex  hindfoot_length  \\\n",
       "0          2271      1   15  1980        8         DO   M             35.0   \n",
       "1          2272      1   15  1980       11         PF   F             16.0   \n",
       "2          2273      1   15  1980       18         DM   F             34.0   \n",
       "3          2274      1   15  1980       11         DM   M             38.0   \n",
       "4          2275      1   15  1980        8         DO   F             33.0   \n",
       "5          2276      1   15  1980       11         DS   M             47.0   \n",
       "6          2277      1   15  1980        8         PF   M             15.0   \n",
       "7          2278      1   15  1980        9         OT   M             21.0   \n",
       "8          2279      1   15  1980       11         DM   F             36.0   \n",
       "9          2280      1   15  1980       21         OT   F             20.0   \n",
       "10         2281      1   15  1980       11         OL   M             20.0   \n",
       "11         2282      1   15  1980       17         DM   F             36.0   \n",
       "12         2283      1   15  1980       11         OL   M             21.0   \n",
       "13         2284      1   15  1980        9         OL   M             20.0   \n",
       "14         2285      1   15  1980       10         OL   F             20.0   \n",
       "15         2286      1   15  1980       11         DM   M             38.0   \n",
       "16         2287      1   15  1980       21         OT   M             19.0   \n",
       "17         2288      1   15  1980       19         RM   F             17.0   \n",
       "18         2289      1   15  1980       20         DS   F             52.0   \n",
       "19         2290      1   15  1980       11         DM   M             37.0   \n",
       "20         2291      1   15  1980        9         OL   F             21.0   \n",
       "21         2292      1   15  1980       12         DM   F             35.0   \n",
       "22         2293      1   15  1980       18         DS   F             51.0   \n",
       "23         2294      1   15  1980       22         DM   F             34.0   \n",
       "24         2295      1   15  1980        9         OL   M             21.0   \n",
       "25         2296      1   15  1980        8         DO   F             34.0   \n",
       "26         2297      1   15  1980       11         DM   M             37.0   \n",
       "27         2298      1   15  1980       17         DM   M             35.0   \n",
       "28         2299      1   15  1980        9         DM   M             38.0   \n",
       "29         2300      1   15  1980       18         DM   F             32.0   \n",
       "...         ...    ...  ...   ...      ...        ...  ..              ...   \n",
       "3363       7106     11   22  1982        9         DS   F             50.0   \n",
       "3364       7107     11   22  1982        1         DO   M             36.0   \n",
       "3365       7108     11   22  1982       12         PF   F             16.0   \n",
       "3366       7109     11   22  1982        9         DS   M             49.0   \n",
       "3367       7110     11   22  1982       11         PF   M             16.0   \n",
       "3368       7111     11   22  1982        4         PF   M             15.0   \n",
       "3369       7112     11   22  1982        1         DO   F             34.0   \n",
       "3370       7113     11   22  1982        4         DS   F             52.0   \n",
       "3371       7114     11   22  1982       11         DS   F             51.0   \n",
       "3372       7115     11   22  1982        1         OL   M             19.0   \n",
       "3373       7116     11   22  1982        2         DO   F             35.0   \n",
       "3374       7117     11   22  1982        4         DM   F             33.0   \n",
       "3375       7118     11   22  1982        1         OL   M             21.0   \n",
       "3376       7119     11   22  1982        2         DO   F             36.0   \n",
       "3377       7120     11   22  1982        5         DM   M             37.0   \n",
       "3378       7121     11   22  1982        8         DS   F             50.0   \n",
       "3379       7122     11   22  1982        8         PF   M             15.0   \n",
       "3380       7123     11   22  1982        1         DM   F             33.0   \n",
       "3381       7124     11   22  1982        3         PF   M             15.0   \n",
       "3382       7125     11   22  1982        4         DS   F             48.0   \n",
       "3383       7126     11   22  1982        5         DM   M             35.0   \n",
       "3384       7127     11   22  1982        5         OL   M             22.0   \n",
       "3385       7128     11   22  1982        9         DM   F             33.0   \n",
       "3386       7129     11   22  1982       12         DS   F             48.0   \n",
       "3387       7130     11   22  1982        1         DM   M             37.0   \n",
       "3388       7131     11   22  1982        6         OT   F             19.0   \n",
       "3389       7132     11   22  1982       11         DM   M             36.0   \n",
       "3390       7133     11   22  1982        1         DM   F             34.0   \n",
       "3391       7134     11   22  1982        6         OT   M             21.0   \n",
       "3392       7135     11   22  1982       12         DM   M             37.0   \n",
       "\n",
       "      weight  \n",
       "0       53.0  \n",
       "1       10.0  \n",
       "2       33.0  \n",
       "3       37.0  \n",
       "4       29.0  \n",
       "5      132.0  \n",
       "6        8.0  \n",
       "7       23.0  \n",
       "8       36.0  \n",
       "9       21.0  \n",
       "10      29.0  \n",
       "11      49.0  \n",
       "12      23.0  \n",
       "13      32.0  \n",
       "14      24.0  \n",
       "15      47.0  \n",
       "16      22.0  \n",
       "17      12.0  \n",
       "18     150.0  \n",
       "19      49.0  \n",
       "20      34.0  \n",
       "21      40.0  \n",
       "22     132.0  \n",
       "23      25.0  \n",
       "24      36.0  \n",
       "25      50.0  \n",
       "26      45.0  \n",
       "27      47.0  \n",
       "28      46.0  \n",
       "29      29.0  \n",
       "...      ...  \n",
       "3363   132.0  \n",
       "3364    50.0  \n",
       "3365     7.0  \n",
       "3366   130.0  \n",
       "3367     6.0  \n",
       "3368     6.0  \n",
       "3369    49.0  \n",
       "3370   119.0  \n",
       "3371   111.0  \n",
       "3372    26.0  \n",
       "3373    45.0  \n",
       "3374    45.0  \n",
       "3375    39.0  \n",
       "3376    43.0  \n",
       "3377    46.0  \n",
       "3378   106.0  \n",
       "3379     6.0  \n",
       "3380    35.0  \n",
       "3381     6.0  \n",
       "3382   122.0  \n",
       "3383    41.0  \n",
       "3384    43.0  \n",
       "3385    36.0  \n",
       "3386   102.0  \n",
       "3387    48.0  \n",
       "3388    27.0  \n",
       "3389    45.0  \n",
       "3390    35.0  \n",
       "3391    24.0  \n",
       "3392    41.0  \n",
       "\n",
       "[3393 rows x 9 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveys_1980_1982 = pd.concat([surveys_1980, surveys_1982], axis = 0)\n",
    "surveys_1980_1982 = surveys_1980_1982.reset_index(drop=True)\n",
    "surveys_1980_1982"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "surveys_1980_1982.to_csv('year.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "surveySub = surveys_df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['record_id', 'month', 'day', 'year', 'plot_id', 'species_id', 'sex',\n",
       "       'hindfoot_length', 'weight'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "surveySub.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['species_id', 'genus', 'species', 'taxa'], dtype='object')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "species_df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>species_id</th>\n",
       "      <th>genus</th>\n",
       "      <th>species</th>\n",
       "      <th>taxa</th>\n",
       "      <th>record_id</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>plot_id</th>\n",
       "      <th>sex</th>\n",
       "      <th>hindfoot_length</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>3126</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>1980</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>3146</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>1980</td>\n",
       "      <td>24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>3152</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>1980</td>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>3153</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>1980</td>\n",
       "      <td>22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>3586</td>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>1980</td>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>3702</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>1981</td>\n",
       "      <td>22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>3705</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>1981</td>\n",
       "      <td>22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>3706</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>1981</td>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>3775</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>1981</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>4499</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1981</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>4543</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>1981</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>4606</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>1981</td>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5203</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5204</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5220</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5222</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5229</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5244</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5256</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5267</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5302</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>1982</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5310</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>1982</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5313</td>\n",
       "      <td>1</td>\n",
       "      <td>25</td>\n",
       "      <td>1982</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5387</td>\n",
       "      <td>2</td>\n",
       "      <td>23</td>\n",
       "      <td>1982</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5488</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5496</td>\n",
       "      <td>2</td>\n",
       "      <td>24</td>\n",
       "      <td>1982</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5535</td>\n",
       "      <td>3</td>\n",
       "      <td>29</td>\n",
       "      <td>1982</td>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5643</td>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>1982</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5687</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>1982</td>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>AB</td>\n",
       "      <td>Amphispiza</td>\n",
       "      <td>bilineata</td>\n",
       "      <td>Bird</td>\n",
       "      <td>5741</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>1982</td>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34756</th>\n",
       "      <td>SU</td>\n",
       "      <td>Sceloporus</td>\n",
       "      <td>undulatus</td>\n",
       "      <td>Reptile</td>\n",
       "      <td>22251</td>\n",
       "      <td>4</td>\n",
       "      <td>29</td>\n",
       "      <td>1995</td>\n",
       "      <td>20</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34757</th>\n",
       "      <td>SU</td>\n",
       "      <td>Sceloporus</td>\n",
       "      <td>undulatus</td>\n",
       "      <td>Reptile</td>\n",
       "      <td>22264</td>\n",
       "      <td>4</td>\n",
       "      <td>30</td>\n",
       "      <td>1995</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34758</th>\n",
       "      <td>UL</td>\n",
       "      <td>Lizard</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Reptile</td>\n",
       "      <td>14466</td>\n",
       "      <td>5</td>\n",
       "      <td>14</td>\n",
       "      <td>1988</td>\n",
       "      <td>17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34759</th>\n",
       "      <td>UL</td>\n",
       "      <td>Lizard</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Reptile</td>\n",
       "      <td>19952</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>1992</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34760</th>\n",
       "      <td>UL</td>\n",
       "      <td>Lizard</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Reptile</td>\n",
       "      <td>21594</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>1994</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34761</th>\n",
       "      <td>UL</td>\n",
       "      <td>Lizard</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Reptile</td>\n",
       "      <td>21601</td>\n",
       "      <td>5</td>\n",
       "      <td>19</td>\n",
       "      <td>1994</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34762</th>\n",
       "      <td>UP</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>13688</td>\n",
       "      <td>11</td>\n",
       "      <td>21</td>\n",
       "      <td>1987</td>\n",
       "      <td>12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34763</th>\n",
       "      <td>UP</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>13828</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1987</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34764</th>\n",
       "      <td>UP</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>14075</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>1988</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34765</th>\n",
       "      <td>UP</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>14085</td>\n",
       "      <td>2</td>\n",
       "      <td>21</td>\n",
       "      <td>1988</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34766</th>\n",
       "      <td>UP</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>14368</td>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "      <td>1988</td>\n",
       "      <td>22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34767</th>\n",
       "      <td>UP</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>15332</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34768</th>\n",
       "      <td>UP</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>15504</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>1989</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34769</th>\n",
       "      <td>UP</td>\n",
       "      <td>Pipilo</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>17654</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>1990</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34770</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>13564</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>1987</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34771</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>13573</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>1987</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34772</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>13644</td>\n",
       "      <td>10</td>\n",
       "      <td>25</td>\n",
       "      <td>1987</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34773</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>13947</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1988</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34774</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>18610</td>\n",
       "      <td>4</td>\n",
       "      <td>21</td>\n",
       "      <td>1991</td>\n",
       "      <td>10</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34775</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>19597</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>1992</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34776</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>21556</td>\n",
       "      <td>5</td>\n",
       "      <td>18</td>\n",
       "      <td>1994</td>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34777</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>32227</td>\n",
       "      <td>6</td>\n",
       "      <td>25</td>\n",
       "      <td>2001</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34778</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>32377</td>\n",
       "      <td>8</td>\n",
       "      <td>25</td>\n",
       "      <td>2001</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34779</th>\n",
       "      <td>UR</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Rodent</td>\n",
       "      <td>34575</td>\n",
       "      <td>7</td>\n",
       "      <td>14</td>\n",
       "      <td>2002</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34780</th>\n",
       "      <td>US</td>\n",
       "      <td>Sparrow</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>35512</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34781</th>\n",
       "      <td>US</td>\n",
       "      <td>Sparrow</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>35513</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34782</th>\n",
       "      <td>US</td>\n",
       "      <td>Sparrow</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>35528</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>13</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34783</th>\n",
       "      <td>US</td>\n",
       "      <td>Sparrow</td>\n",
       "      <td>sp.</td>\n",
       "      <td>Bird</td>\n",
       "      <td>35544</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>2002</td>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34784</th>\n",
       "      <td>ZL</td>\n",
       "      <td>Zonotrichia</td>\n",
       "      <td>leucophrys</td>\n",
       "      <td>Bird</td>\n",
       "      <td>14250</td>\n",
       "      <td>3</td>\n",
       "      <td>20</td>\n",
       "      <td>1988</td>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34785</th>\n",
       "      <td>ZL</td>\n",
       "      <td>Zonotrichia</td>\n",
       "      <td>leucophrys</td>\n",
       "      <td>Bird</td>\n",
       "      <td>14351</td>\n",
       "      <td>4</td>\n",
       "      <td>17</td>\n",
       "      <td>1988</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>34786 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      species_id        genus     species     taxa  record_id  month  day  \\\n",
       "0             AB   Amphispiza   bilineata     Bird       3126      7   21   \n",
       "1             AB   Amphispiza   bilineata     Bird       3146      7   21   \n",
       "2             AB   Amphispiza   bilineata     Bird       3152      7   21   \n",
       "3             AB   Amphispiza   bilineata     Bird       3153      7   21   \n",
       "4             AB   Amphispiza   bilineata     Bird       3586     12   15   \n",
       "5             AB   Amphispiza   bilineata     Bird       3702      1   11   \n",
       "6             AB   Amphispiza   bilineata     Bird       3705      1   11   \n",
       "7             AB   Amphispiza   bilineata     Bird       3706      1   11   \n",
       "8             AB   Amphispiza   bilineata     Bird       3775      1   12   \n",
       "9             AB   Amphispiza   bilineata     Bird       4499      6    4   \n",
       "10            AB   Amphispiza   bilineata     Bird       4543      6    4   \n",
       "11            AB   Amphispiza   bilineata     Bird       4606      7    7   \n",
       "12            AB   Amphispiza   bilineata     Bird       5203      1   24   \n",
       "13            AB   Amphispiza   bilineata     Bird       5204      1   24   \n",
       "14            AB   Amphispiza   bilineata     Bird       5220      1   24   \n",
       "15            AB   Amphispiza   bilineata     Bird       5222      1   24   \n",
       "16            AB   Amphispiza   bilineata     Bird       5229      1   24   \n",
       "17            AB   Amphispiza   bilineata     Bird       5244      1   24   \n",
       "18            AB   Amphispiza   bilineata     Bird       5256      1   24   \n",
       "19            AB   Amphispiza   bilineata     Bird       5267      1   24   \n",
       "20            AB   Amphispiza   bilineata     Bird       5302      1   25   \n",
       "21            AB   Amphispiza   bilineata     Bird       5310      1   25   \n",
       "22            AB   Amphispiza   bilineata     Bird       5313      1   25   \n",
       "23            AB   Amphispiza   bilineata     Bird       5387      2   23   \n",
       "24            AB   Amphispiza   bilineata     Bird       5488      2   24   \n",
       "25            AB   Amphispiza   bilineata     Bird       5496      2   24   \n",
       "26            AB   Amphispiza   bilineata     Bird       5535      3   29   \n",
       "27            AB   Amphispiza   bilineata     Bird       5643      3   30   \n",
       "28            AB   Amphispiza   bilineata     Bird       5687      4   28   \n",
       "29            AB   Amphispiza   bilineata     Bird       5741      4   28   \n",
       "...          ...          ...         ...      ...        ...    ...  ...   \n",
       "34756         SU   Sceloporus   undulatus  Reptile      22251      4   29   \n",
       "34757         SU   Sceloporus   undulatus  Reptile      22264      4   30   \n",
       "34758         UL       Lizard         sp.  Reptile      14466      5   14   \n",
       "34759         UL       Lizard         sp.  Reptile      19952      5    2   \n",
       "34760         UL       Lizard         sp.  Reptile      21594      5   19   \n",
       "34761         UL       Lizard         sp.  Reptile      21601      5   19   \n",
       "34762         UP       Pipilo         sp.     Bird      13688     11   21   \n",
       "34763         UP       Pipilo         sp.     Bird      13828     11   22   \n",
       "34764         UP       Pipilo         sp.     Bird      14075      2   21   \n",
       "34765         UP       Pipilo         sp.     Bird      14085      2   21   \n",
       "34766         UP       Pipilo         sp.     Bird      14368      4   17   \n",
       "34767         UP       Pipilo         sp.     Bird      15332      1   10   \n",
       "34768         UP       Pipilo         sp.     Bird      15504      2    4   \n",
       "34769         UP       Pipilo         sp.     Bird      17654      7   21   \n",
       "34770         UR       Rodent         sp.   Rodent      13564     10   25   \n",
       "34771         UR       Rodent         sp.   Rodent      13573     10   25   \n",
       "34772         UR       Rodent         sp.   Rodent      13644     10   25   \n",
       "34773         UR       Rodent         sp.   Rodent      13947      1   24   \n",
       "34774         UR       Rodent         sp.   Rodent      18610      4   21   \n",
       "34775         UR       Rodent         sp.   Rodent      19597      1    9   \n",
       "34776         UR       Rodent         sp.   Rodent      21556      5   18   \n",
       "34777         UR       Rodent         sp.   Rodent      32227      6   25   \n",
       "34778         UR       Rodent         sp.   Rodent      32377      8   25   \n",
       "34779         UR       Rodent         sp.   Rodent      34575      7   14   \n",
       "34780         US      Sparrow         sp.     Bird      35512     12   31   \n",
       "34781         US      Sparrow         sp.     Bird      35513     12   31   \n",
       "34782         US      Sparrow         sp.     Bird      35528     12   31   \n",
       "34783         US      Sparrow         sp.     Bird      35544     12   31   \n",
       "34784         ZL  Zonotrichia  leucophrys     Bird      14250      3   20   \n",
       "34785         ZL  Zonotrichia  leucophrys     Bird      14351      4   17   \n",
       "\n",
       "       year  plot_id  sex  hindfoot_length  weight  \n",
       "0      1980        8  NaN              NaN     NaN  \n",
       "1      1980       24  NaN              NaN     NaN  \n",
       "2      1980       19  NaN              NaN     NaN  \n",
       "3      1980       22  NaN              NaN     NaN  \n",
       "4      1980       16  NaN              NaN     NaN  \n",
       "5      1981       22  NaN              NaN     NaN  \n",
       "6      1981       22  NaN              NaN     NaN  \n",
       "7      1981       20  NaN              NaN     NaN  \n",
       "8      1981        6  NaN              NaN     NaN  \n",
       "9      1981       23  NaN              NaN     NaN  \n",
       "10     1981       23  NaN              NaN     NaN  \n",
       "11     1981       19  NaN              NaN     NaN  \n",
       "12     1982       12  NaN              NaN     NaN  \n",
       "13     1982       12  NaN              NaN     NaN  \n",
       "14     1982       20  NaN              NaN     NaN  \n",
       "15     1982       24  NaN              NaN     NaN  \n",
       "16     1982       12  NaN              NaN     NaN  \n",
       "17     1982       19  NaN              NaN     NaN  \n",
       "18     1982       12  NaN              NaN     NaN  \n",
       "19     1982        7  NaN              NaN     NaN  \n",
       "20     1982        2  NaN              NaN     NaN  \n",
       "21     1982        2  NaN              NaN     NaN  \n",
       "22     1982       13  NaN              NaN     NaN  \n",
       "23     1982       13  NaN              NaN     NaN  \n",
       "24     1982        2  NaN              NaN     NaN  \n",
       "25     1982        2  NaN              NaN     NaN  \n",
       "26     1982       18  NaN              NaN     NaN  \n",
       "27     1982        9  NaN              NaN     NaN  \n",
       "28     1982       19  NaN              NaN     NaN  \n",
       "29     1982       20  NaN              NaN     NaN  \n",
       "...     ...      ...  ...              ...     ...  \n",
       "34756  1995       20  NaN              NaN     NaN  \n",
       "34757  1995       11  NaN              NaN     NaN  \n",
       "34758  1988       17  NaN              NaN     NaN  \n",
       "34759  1992        2  NaN              NaN     NaN  \n",
       "34760  1994       13  NaN              NaN     NaN  \n",
       "34761  1994        8  NaN              NaN     NaN  \n",
       "34762  1987       12  NaN              NaN     NaN  \n",
       "34763  1987        2  NaN              NaN     NaN  \n",
       "34764  1988       23  NaN              NaN     NaN  \n",
       "34765  1988       23  NaN              NaN     NaN  \n",
       "34766  1988       22  NaN              NaN     NaN  \n",
       "34767  1989        1  NaN              NaN     NaN  \n",
       "34768  1989        1  NaN              NaN     NaN  \n",
       "34769  1990        1  NaN              NaN     NaN  \n",
       "34770  1987        8  NaN              NaN     NaN  \n",
       "34771  1987       11  NaN              NaN     NaN  \n",
       "34772  1987        2  NaN              NaN     NaN  \n",
       "34773  1988       11  NaN              NaN     NaN  \n",
       "34774  1991       10  NaN              NaN     NaN  \n",
       "34775  1992       11  NaN              NaN     NaN  \n",
       "34776  1994       18  NaN              NaN     NaN  \n",
       "34777  2001        7  NaN              NaN     NaN  \n",
       "34778  2001        1  NaN              NaN     NaN  \n",
       "34779  2002        6  NaN              NaN     NaN  \n",
       "34780  2002       11  NaN              NaN     NaN  \n",
       "34781  2002       11  NaN              NaN     NaN  \n",
       "34782  2002       13  NaN              NaN     NaN  \n",
       "34783  2002       15  NaN              NaN     NaN  \n",
       "34784  1988       18  NaN              NaN     NaN  \n",
       "34785  1988       23  NaN              NaN     NaN  \n",
       "\n",
       "[34786 rows x 12 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_inner = pd.merge(left=species_df, left_on = 'species_id', right=surveys_df, right_on = 'species_id')\n",
    "merged_inner"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "merge_left = pd.merge(left=surveySub, right = species_df, how = 'right', left_on='species_id', right_on = 'species_id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>record_id</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>year</th>\n",
       "      <th>plot_id</th>\n",
       "      <th>species_id</th>\n",
       "      <th>sex</th>\n",
       "      <th>hindfoot_length</th>\n",
       "      <th>weight</th>\n",
       "      <th>genus</th>\n",
       "      <th>species</th>\n",
       "      <th>taxa</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>NL</td>\n",
       "      <td>M</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Neotoma</td>\n",
       "      <td>albigula</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>NL</td>\n",
       "      <td>M</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Neotoma</td>\n",
       "      <td>albigula</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dipodomys</td>\n",
       "      <td>merriami</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>7</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dipodomys</td>\n",
       "      <td>merriami</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>3</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>35.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dipodomys</td>\n",
       "      <td>merriami</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>PF</td>\n",
       "      <td>M</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Perognathus</td>\n",
       "      <td>flavus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>PE</td>\n",
       "      <td>F</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Peromyscus</td>\n",
       "      <td>eremicus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>M</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dipodomys</td>\n",
       "      <td>merriami</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>1</td>\n",
       "      <td>DM</td>\n",
       "      <td>F</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Dipodomys</td>\n",
       "      <td>merriami</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>16</td>\n",
       "      <td>1977</td>\n",
       "      <td>6</td>\n",
       "      <td>PF</td>\n",
       "      <td>F</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Perognathus</td>\n",
       "      <td>flavus</td>\n",
       "      <td>Rodent</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   record_id  month  day  year  plot_id species_id sex  hindfoot_length  \\\n",
       "0          1      7   16  1977        2         NL   M             32.0   \n",
       "1          2      7   16  1977        3         NL   M             33.0   \n",
       "2          3      7   16  1977        2         DM   F             37.0   \n",
       "3          4      7   16  1977        7         DM   M             36.0   \n",
       "4          5      7   16  1977        3         DM   M             35.0   \n",
       "5          6      7   16  1977        1         PF   M             14.0   \n",
       "6          7      7   16  1977        2         PE   F              NaN   \n",
       "7          8      7   16  1977        1         DM   M             37.0   \n",
       "8          9      7   16  1977        1         DM   F             34.0   \n",
       "9         10      7   16  1977        6         PF   F             20.0   \n",
       "\n",
       "   weight        genus   species    taxa  \n",
       "0     NaN      Neotoma  albigula  Rodent  \n",
       "1     NaN      Neotoma  albigula  Rodent  \n",
       "2     NaN    Dipodomys  merriami  Rodent  \n",
       "3     NaN    Dipodomys  merriami  Rodent  \n",
       "4     NaN    Dipodomys  merriami  Rodent  \n",
       "5     NaN  Perognathus    flavus  Rodent  \n",
       "6     NaN   Peromyscus  eremicus  Rodent  \n",
       "7     NaN    Dipodomys  merriami  Rodent  \n",
       "8     NaN    Dipodomys  merriami  Rodent  \n",
       "9     NaN  Perognathus    flavus  Rodent  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merge_left"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1175b3470>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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iTQB/JAWUd9SOK+sqqBvvaWZQBIIiSa8gHaxPJPXFLSCd5XSZjXQwmRYRRzcp\n96OI+Epd3TuQ3syf5LKNDswLSXcG1T7sxQ04jLQDjyN1AUDqj19CusNnSpM6fxURDW+/lLScNID0\nq8LyHib1254LfLCknXewfsevf6Pfx/oBvFo7v0r6AHySFLiGkM+Uga9ExKcKy6gPEh9p0PytSQf4\nF5E+dB+OiMfz/CNIl/b/RDqAnN0g7xnSdm4UJD5F2taNDobFA+UdpEeWNMqrL3cF67txutyNU1jv\nQwvbrJXgspYU/KFroKhduVzRaHmSniuUg67dRmXl6k+aAng4Ip7oZruMIF1tjSH1gV9H2gc+QgoC\njfb52i/ZTyJ9tor70uWNuozysiYBr4yIi/Lr2pn9ENLJ17nAo7mdHaQz5ruBQyPi5bnMV4G/RsSM\n/Poe4OAmVwtX5zY1qvNg4JAmweUsYM8mea8mnTQ1Wt6MRl2v+QriTrre0AKtBYlTGmzKWrnnA/9J\n+tyeHYU7rlQ3qN5UKwMJ/f1HOrBOz2/cr/ObsazBfK8g3RlxP2kw6txm5YADSdH7R7ncnaR+x79Q\nPri0hHS2vVvd32tIQWmfBmX2AR4tqfOZkrwn2qzzXtJO3vCvMN+OwI6F1x8mHQT2KKS9hHTGfzYw\ng7RzriL1q/4V+GTdsrcl3SJ4H+nOh3vJJx118w0Bni3JewT4JrBtIX0E6S6hJcB3SWeCVwEXFOa5\noi7v/JK8Yrk7CtND6TqQVxz0PZ3CoC/tDwg3XV675bppZ9m6X026QjuddObZSTrL3J8N9/Uuf03a\nuAUpUE/LbTmcFDg+QArw1+T5Xke6Wnkz6TbgR8g3MjTIe6y2PqTP9OsKy3uqpFxZnY8W6vgq6SC+\nrs6SvCdL6ryy5L27rUl67aptet3fBXldJ5eUezJPjyMFk5mkK1Fa3qdamam//1h/h8/YQlrtDp+m\nQaKbcrfknfPEvKMcmNP3pvyuk3YPzGUH+8eB9zZIfw/pbK6dOv9YmK4/2It0QP8r6YC+Kk9/knTn\nwg4N6tuRNMZQFiS2J90Fcl+uf2Se556Sdj5blkfzIFG8+6f+YFh2oCzLa3o3Dm0Gl27267LlNQ0u\nG9nOVgNdMW8I6YRog7uB6pZbf7B/Q963ziKdjP2ZxsFlSaGOjTn4/pl0J9vVeT+t9WiMBZ5os86n\naB5cni7JK6vz9ibb6xBgQcn2LAsSZXcGFe92G0q6W3AJ6aaAzSoQHEe6LHuQ1J9+GOtvNys72JeV\nK7v9cBUWJlWxAAAFtElEQVS9f2AuO9hfBfxP/qB8If/9gnRnxb1t1nkFTc7eKT/r/3PJ8p6ieZBY\nCfwv6X7/beryryJ9aa6+3NtJH+5mef8oacvTda9bPaCX5a0l3SX297xt1xSm1xbmazm4dLNfly1v\nNc0P6O22s93tMoLGZ/b30/xgvz9Nggvp6rudg++dpCv540lfzqyljyP1k7dT50qaB5dlJXlPdLO8\nhXV/y0ljfXs32RfaDRKHkMY36tM7SFfiG+Q1+htUYwR5pP9Y0sDSoaSxgZWks/iDSN+2mw18MyL2\n6Kbc66P5txQXku7hfZYN7zoZFc2/Qfs4qR+80W2LbwR2alLn8RHxUKPBTUnfJ+0gG1vnPFJ31fti\n/R0GLyHdhvkyYP+I+FtdnTuSrqa2arJ+676M1SAvSB+ANTQe8FpECiTFdm4JvJ9010qjvFXA9yKi\nyxiQpLeTvkn8eGEZxb73bdrMi2h+11D9PlIc9G2a1y5Jd8T6u426fGmsm3Jl7SwbryjbLsNJNxf8\nlnQytVNOnwJ8p9DOIaTAsGuku74atkXSx0m3kv6NNGg7MSJC6ZvsPycdNBvlzYqIDR4dkutuu07S\nOMiLgPmx/q6icXmbDGuS90FSl3KjOmeTuolqgvXjNGWD+adExN0N1u0Q0rjlvU3KzYr8jfe6ciNJ\n3zf4bKNt1mXewRQIivJKnkj6NvBhTQ72P46I+U3KfZ204ze602N4RDyvlw/MTQ/23aznKNKtYxsb\nQG4D3tDkYP9ANwf0xxtlkc70Gz7bpJWDX91A66Io3HLYKE/SGNIYTqMgcXzU3SHRl3pwEG0aXLpZ\nXlvBpZt2ttuWYlBq6WDfQlu2IF31bczBd5uIqN2x1aidBzYr126d3WyXpstrVmc3g/llQWIq6Yp7\ng3LttH2Ddg3WQFCmPkj0ct1tHZh7YbkbG0DujHyHRYO8sjP7pgecug92lyxy8CxrU7vKAsjmqi8O\n6D1oS7sH+03azsGuLEj0+bI3x0CwKfTFwb43dXNALzvr77MDug1OPthv/hwINlP9dfZuZoOPA4GZ\nWcX5h2nMzCrOgcDMrOIcCMzMKs6BwMys4hwIzHpA0k/zkzt7o65z83cm6tMPVvqNXLM+MVh+mMZs\nQIqI+l+i6kld08uye2s5ZvV8RWCbPUlb5TP32yQtlHSSpPsknZdf35ifw4SkHSRdKel3+e/VOX1r\nSd/O898u6ficfl9+zjyS3pbL3CrpYiVbSJqZy/1B6Wchm7VzpvIvUkk6UtJipZ/lfFOzMma9wVcE\nVgVHkn6a9I1A7UdYzgMeiYh9Jb2D9Nz3f8n/vxgR/yNpF9ITWScA/0Z6zPi+uY7tct2RX+9N/vW6\nSL9b+1XSr9wtAsYUynXbjaT0E5WXAB0Rca+6/p62Wa/zFYFVwR3AGyR9RtJrIqL2O8Wz8//vkx5v\nDPB64ML80L65wDb5gYavJz13HoBIv8FbdBgwEbg5lz2U9Gjve4E9JF0g6QgaP9qj3t6kx4/Xnjb5\n3Y1YV7ON5isC2+xFxFKlHzM/Gvi0pAWs/93XdbPl/1sAr4qI1cU68vOZyoj0OOCPb5Ah7Uf6ScHT\ngZNIP73ZnYZPeTXrC74isM2epBeRflHqe6TfQq49jO/k/H8y6Vn7kLqCphTK7pcnryP9pm8tvfYb\n07UD9s+BE/JjvpE0UtKukl4IDImIH5O6l7r//dj0Qye7Sar9psZbWlpRszb5isCqYB/gv5R+EP5Z\n0o/h/BAYKekPpB/UqR1spwBfzelDgF8CZwD/kdPvIP34zrmkXw4LgIhYLOkTwHxJW+TlnJnrnpnT\ngvRc+WZqdT0j6XTgGklPkH6kfpte2RJmDfihc1ZJku4DDoiIVf3dFrP+5q4hqyqfAZllviIw28Qk\nXUj6je0g/7gL6cfpZ/Vrw6yyHAjMzCrOXUNmZhXnQGBmVnEOBGZmFedAYGZWcf8HDaaIMxDHqy4A\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x115476e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "merged_inner.groupby('species_id')['genus'].count().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}