Cheng_assignment5.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Assignment: Pandas Fundamentals with Earthquake Data\n",
    "\n",
    "In this assignment, we will review pandas fundamentals, such as how to\n",
    "\n",
    "- Open csv files\n",
    "- Manipulate dataframe indexes\n",
    "- Parse date columns\n",
    "- Examine basic dataframe statistics\n",
    "- Manipulate text columns and extract values\n",
    "- Plot dataframe contents using\n",
    "  - Bar charts\n",
    "  - Histograms\n",
    "  - Scatter plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, import Numpy, Pandas and Matplotlib and set the display options."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt \n",
    "plt.rcParams['figure.figsize'] = (12,7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data for this assignment in .csv format downloaded from the [USGS Earthquakes Database](https://earthquake.usgs.gov/earthquakes/search/) is available at:\n",
    "\n",
    "http://www.ldeo.columbia.edu/~rpa/usgs_earthquakes_2014.csv\n",
    "\n",
    "You don't need to download this file. You can open it directly with Pandas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1) Use Pandas' read_csv function directly on this URL to open it as a DataFrame\n",
    "(Don't use any special options). Display the first few rows and the DataFrame info."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>depth</th>\n",
       "      <th>mag</th>\n",
       "      <th>magType</th>\n",
       "      <th>nst</th>\n",
       "      <th>gap</th>\n",
       "      <th>dmin</th>\n",
       "      <th>rms</th>\n",
       "      <th>net</th>\n",
       "      <th>id</th>\n",
       "      <th>updated</th>\n",
       "      <th>place</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-01-31 23:53:37.000</td>\n",
       "      <td>60.252000</td>\n",
       "      <td>-152.7081</td>\n",
       "      <td>90.20</td>\n",
       "      <td>1.10</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2900</td>\n",
       "      <td>ak</td>\n",
       "      <td>ak11155107</td>\n",
       "      <td>2014-02-05T19:34:41.515Z</td>\n",
       "      <td>26km S of Redoubt Volcano, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-01-31 23:48:35.452</td>\n",
       "      <td>37.070300</td>\n",
       "      <td>-115.1309</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.33</td>\n",
       "      <td>ml</td>\n",
       "      <td>4.0</td>\n",
       "      <td>171.43</td>\n",
       "      <td>0.34200</td>\n",
       "      <td>0.0247</td>\n",
       "      <td>nn</td>\n",
       "      <td>nn00436847</td>\n",
       "      <td>2014-02-01T01:35:09.000Z</td>\n",
       "      <td>32km S of Alamo, Nevada</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2014-01-31 23:47:24.000</td>\n",
       "      <td>64.671700</td>\n",
       "      <td>-149.2528</td>\n",
       "      <td>7.10</td>\n",
       "      <td>1.30</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ak</td>\n",
       "      <td>ak11151142</td>\n",
       "      <td>2014-02-01T00:03:53.010Z</td>\n",
       "      <td>12km NNW of North Nenana, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-01-31 23:30:54.000</td>\n",
       "      <td>63.188700</td>\n",
       "      <td>-148.9575</td>\n",
       "      <td>96.50</td>\n",
       "      <td>0.80</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0700</td>\n",
       "      <td>ak</td>\n",
       "      <td>ak11151135</td>\n",
       "      <td>2014-01-31T23:41:25.007Z</td>\n",
       "      <td>22km S of Cantwell, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2014-01-31 23:30:52.210</td>\n",
       "      <td>32.616833</td>\n",
       "      <td>-115.6925</td>\n",
       "      <td>10.59</td>\n",
       "      <td>1.34</td>\n",
       "      <td>ml</td>\n",
       "      <td>6.0</td>\n",
       "      <td>285.00</td>\n",
       "      <td>0.04321</td>\n",
       "      <td>0.2000</td>\n",
       "      <td>ci</td>\n",
       "      <td>ci37171541</td>\n",
       "      <td>2014-02-01T00:13:20.107Z</td>\n",
       "      <td>10km WNW of Progreso, Mexico</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      time   latitude  longitude  depth   mag magType  nst  \\\n",
       "0  2014-01-31 23:53:37.000  60.252000  -152.7081  90.20  1.10      ml  NaN   \n",
       "1  2014-01-31 23:48:35.452  37.070300  -115.1309   0.00  1.33      ml  4.0   \n",
       "2  2014-01-31 23:47:24.000  64.671700  -149.2528   7.10  1.30      ml  NaN   \n",
       "3  2014-01-31 23:30:54.000  63.188700  -148.9575  96.50  0.80      ml  NaN   \n",
       "4  2014-01-31 23:30:52.210  32.616833  -115.6925  10.59  1.34      ml  6.0   \n",
       "\n",
       "      gap     dmin     rms net          id                   updated  \\\n",
       "0     NaN      NaN  0.2900  ak  ak11155107  2014-02-05T19:34:41.515Z   \n",
       "1  171.43  0.34200  0.0247  nn  nn00436847  2014-02-01T01:35:09.000Z   \n",
       "2     NaN      NaN  1.0000  ak  ak11151142  2014-02-01T00:03:53.010Z   \n",
       "3     NaN      NaN  1.0700  ak  ak11151135  2014-01-31T23:41:25.007Z   \n",
       "4  285.00  0.04321  0.2000  ci  ci37171541  2014-02-01T00:13:20.107Z   \n",
       "\n",
       "                               place        type  \n",
       "0  26km S of Redoubt Volcano, Alaska  earthquake  \n",
       "1            32km S of Alamo, Nevada  earthquake  \n",
       "2   12km NNW of North Nenana, Alaska  earthquake  \n",
       "3         22km S of Cantwell, Alaska  earthquake  \n",
       "4       10km WNW of Progreso, Mexico  earthquake  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"http://www.ldeo.columbia.edu/~rpa/usgs_earthquakes_2014.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 120108 entries, 0 to 120107\n",
      "Data columns (total 15 columns):\n",
      " #   Column     Non-Null Count   Dtype  \n",
      "---  ------     --------------   -----  \n",
      " 0   time       120108 non-null  object \n",
      " 1   latitude   120108 non-null  float64\n",
      " 2   longitude  120108 non-null  float64\n",
      " 3   depth      120107 non-null  float64\n",
      " 4   mag        120065 non-null  float64\n",
      " 5   magType    120065 non-null  object \n",
      " 6   nst        59688 non-null   float64\n",
      " 7   gap        94935 non-null   float64\n",
      " 8   dmin       85682 non-null   float64\n",
      " 9   rms        119716 non-null  float64\n",
      " 10  net        120108 non-null  object \n",
      " 11  id         120108 non-null  object \n",
      " 12  updated    120108 non-null  object \n",
      " 13  place      120108 non-null  object \n",
      " 14  type       120108 non-null  object \n",
      "dtypes: float64(8), object(7)\n",
      "memory usage: 13.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should have seen that the dates were not automatically parsed into datetime types.\n",
    "\n",
    "### 2) Re-read the data in such a way that all date columns are identified as dates and the earthquake ID is used as the index\n",
    "\n",
    "Verify that this worked using the `head` and `info` functions.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
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       "      <th>ak11155107</th>\n",
       "      <td>2014-01-31 23:53:37.000</td>\n",
       "      <td>60.252000</td>\n",
       "      <td>-152.7081</td>\n",
       "      <td>90.20</td>\n",
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       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2900</td>\n",
       "      <td>ak</td>\n",
       "      <td>2014-02-05T19:34:41.515Z</td>\n",
       "      <td>26km S of Redoubt Volcano, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nn00436847</th>\n",
       "      <td>2014-01-31 23:48:35.452</td>\n",
       "      <td>37.070300</td>\n",
       "      <td>-115.1309</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.33</td>\n",
       "      <td>ml</td>\n",
       "      <td>4.0</td>\n",
       "      <td>171.43</td>\n",
       "      <td>0.34200</td>\n",
       "      <td>0.0247</td>\n",
       "      <td>nn</td>\n",
       "      <td>2014-02-01T01:35:09.000Z</td>\n",
       "      <td>32km S of Alamo, Nevada</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ak11151142</th>\n",
       "      <td>2014-01-31 23:47:24.000</td>\n",
       "      <td>64.671700</td>\n",
       "      <td>-149.2528</td>\n",
       "      <td>7.10</td>\n",
       "      <td>1.30</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ak</td>\n",
       "      <td>2014-02-01T00:03:53.010Z</td>\n",
       "      <td>12km NNW of North Nenana, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ak11151135</th>\n",
       "      <td>2014-01-31 23:30:54.000</td>\n",
       "      <td>63.188700</td>\n",
       "      <td>-148.9575</td>\n",
       "      <td>96.50</td>\n",
       "      <td>0.80</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0700</td>\n",
       "      <td>ak</td>\n",
       "      <td>2014-01-31T23:41:25.007Z</td>\n",
       "      <td>22km S of Cantwell, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ci37171541</th>\n",
       "      <td>2014-01-31 23:30:52.210</td>\n",
       "      <td>32.616833</td>\n",
       "      <td>-115.6925</td>\n",
       "      <td>10.59</td>\n",
       "      <td>1.34</td>\n",
       "      <td>ml</td>\n",
       "      <td>6.0</td>\n",
       "      <td>285.00</td>\n",
       "      <td>0.04321</td>\n",
       "      <td>0.2000</td>\n",
       "      <td>ci</td>\n",
       "      <td>2014-02-01T00:13:20.107Z</td>\n",
       "      <td>10km WNW of Progreso, Mexico</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "                              time   latitude  longitude  depth   mag magType  \\\n",
       "id                                                                              \n",
       "ak11155107 2014-01-31 23:53:37.000  60.252000  -152.7081  90.20  1.10      ml   \n",
       "nn00436847 2014-01-31 23:48:35.452  37.070300  -115.1309   0.00  1.33      ml   \n",
       "ak11151142 2014-01-31 23:47:24.000  64.671700  -149.2528   7.10  1.30      ml   \n",
       "ak11151135 2014-01-31 23:30:54.000  63.188700  -148.9575  96.50  0.80      ml   \n",
       "ci37171541 2014-01-31 23:30:52.210  32.616833  -115.6925  10.59  1.34      ml   \n",
       "\n",
       "            nst     gap     dmin     rms net                   updated  \\\n",
       "id                                                                       \n",
       "ak11155107  NaN     NaN      NaN  0.2900  ak  2014-02-05T19:34:41.515Z   \n",
       "nn00436847  4.0  171.43  0.34200  0.0247  nn  2014-02-01T01:35:09.000Z   \n",
       "ak11151142  NaN     NaN      NaN  1.0000  ak  2014-02-01T00:03:53.010Z   \n",
       "ak11151135  NaN     NaN      NaN  1.0700  ak  2014-01-31T23:41:25.007Z   \n",
       "ci37171541  6.0  285.00  0.04321  0.2000  ci  2014-02-01T00:13:20.107Z   \n",
       "\n",
       "                                        place        type  \n",
       "id                                                         \n",
       "ak11155107  26km S of Redoubt Volcano, Alaska  earthquake  \n",
       "nn00436847            32km S of Alamo, Nevada  earthquake  \n",
       "ak11151142   12km NNW of North Nenana, Alaska  earthquake  \n",
       "ak11151135         22km S of Cantwell, Alaska  earthquake  \n",
       "ci37171541       10km WNW of Progreso, Mexico  earthquake  "
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('http://www.ldeo.columbia.edu/~rpa/usgs_earthquakes_2014.csv', parse_dates=['time'], index_col='id')\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 120108 entries, ak11155107 to ak11453389\n",
      "Data columns (total 14 columns):\n",
      " #   Column     Non-Null Count   Dtype         \n",
      "---  ------     --------------   -----         \n",
      " 0   time       120108 non-null  datetime64[ns]\n",
      " 1   latitude   120108 non-null  float64       \n",
      " 2   longitude  120108 non-null  float64       \n",
      " 3   depth      120107 non-null  float64       \n",
      " 4   mag        120065 non-null  float64       \n",
      " 5   magType    120065 non-null  object        \n",
      " 6   nst        59688 non-null   float64       \n",
      " 7   gap        94935 non-null   float64       \n",
      " 8   dmin       85682 non-null   float64       \n",
      " 9   rms        119716 non-null  float64       \n",
      " 10  net        120108 non-null  object        \n",
      " 11  updated    120108 non-null  object        \n",
      " 12  place      120108 non-null  object        \n",
      " 13  type       120108 non-null  object        \n",
      "dtypes: datetime64[ns](1), float64(8), object(5)\n",
      "memory usage: 13.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3) Use `describe` to get the basic statistics of all the columns\n",
    "\n",
    "Note the highest and lowest magnitude of earthquakes in the databse."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
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       "      <td>120108.000000</td>\n",
       "      <td>120107.000000</td>\n",
       "      <td>120065.000000</td>\n",
       "      <td>59688.000000</td>\n",
       "      <td>94935.000000</td>\n",
       "      <td>85682.000000</td>\n",
       "      <td>119716.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2014-07-05 09:10:37.116720128</td>\n",
       "      <td>38.399579</td>\n",
       "      <td>-99.961402</td>\n",
       "      <td>28.375029</td>\n",
       "      <td>1.793958</td>\n",
       "      <td>17.878284</td>\n",
       "      <td>124.048978</td>\n",
       "      <td>0.893198</td>\n",
       "      <td>0.358174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2014-01-01 00:01:16.610000</td>\n",
       "      <td>-73.462000</td>\n",
       "      <td>-179.998900</td>\n",
       "      <td>-9.900000</td>\n",
       "      <td>-0.970000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2014-04-08 03:43:10.768999936</td>\n",
       "      <td>34.228917</td>\n",
       "      <td>-147.742025</td>\n",
       "      <td>4.100000</td>\n",
       "      <td>0.820000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>0.020760</td>\n",
       "      <td>0.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2014-07-07 10:44:06.035000064</td>\n",
       "      <td>38.805300</td>\n",
       "      <td>-120.832000</td>\n",
       "      <td>9.200000</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>107.000000</td>\n",
       "      <td>0.073670</td>\n",
       "      <td>0.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2014-09-30 23:36:40.595000064</td>\n",
       "      <td>53.889500</td>\n",
       "      <td>-116.068100</td>\n",
       "      <td>22.880000</td>\n",
       "      <td>2.400000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>0.447000</td>\n",
       "      <td>0.590000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2014-12-31 23:54:33.900000</td>\n",
       "      <td>86.651400</td>\n",
       "      <td>179.998000</td>\n",
       "      <td>697.360000</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>365.000000</td>\n",
       "      <td>356.400000</td>\n",
       "      <td>64.498000</td>\n",
       "      <td>8.460000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>21.938258</td>\n",
       "      <td>82.996858</td>\n",
       "      <td>62.215416</td>\n",
       "      <td>1.343466</td>\n",
       "      <td>14.911369</td>\n",
       "      <td>68.518595</td>\n",
       "      <td>2.903966</td>\n",
       "      <td>0.364046</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                time       latitude      longitude  \\\n",
       "count                         120108  120108.000000  120108.000000   \n",
       "mean   2014-07-05 09:10:37.116720128      38.399579     -99.961402   \n",
       "min       2014-01-01 00:01:16.610000     -73.462000    -179.998900   \n",
       "25%    2014-04-08 03:43:10.768999936      34.228917    -147.742025   \n",
       "50%    2014-07-07 10:44:06.035000064      38.805300    -120.832000   \n",
       "75%    2014-09-30 23:36:40.595000064      53.889500    -116.068100   \n",
       "max       2014-12-31 23:54:33.900000      86.651400     179.998000   \n",
       "std                              NaN      21.938258      82.996858   \n",
       "\n",
       "               depth            mag           nst           gap          dmin  \\\n",
       "count  120107.000000  120065.000000  59688.000000  94935.000000  85682.000000   \n",
       "mean       28.375029       1.793958     17.878284    124.048978      0.893198   \n",
       "min        -9.900000      -0.970000      0.000000      9.000000      0.000000   \n",
       "25%         4.100000       0.820000      8.000000     74.000000      0.020760   \n",
       "50%         9.200000       1.400000     14.000000    107.000000      0.073670   \n",
       "75%        22.880000       2.400000     22.000000    155.000000      0.447000   \n",
       "max       697.360000       8.200000    365.000000    356.400000     64.498000   \n",
       "std        62.215416       1.343466     14.911369     68.518595      2.903966   \n",
       "\n",
       "                 rms  \n",
       "count  119716.000000  \n",
       "mean        0.358174  \n",
       "min         0.000000  \n",
       "25%         0.070000  \n",
       "50%         0.200000  \n",
       "75%         0.590000  \n",
       "max         8.460000  \n",
       "std         0.364046  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The lowest magnitude is: -0.97\n",
      "The highest magnitude is: 8.2\n"
     ]
    }
   ],
   "source": [
    "min_mag = np.min(df['mag'])\n",
    "max_mag = np.max(df['mag'])\n",
    "\n",
    "print('The lowest magnitude is:', min_mag)\n",
    "print('The highest magnitude is:', max_mag)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4) Use `nlargest` to get the top 20 earthquakes by magnitude\n",
    "\n",
    "https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.nlargest.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>depth</th>\n",
       "      <th>mag</th>\n",
       "      <th>magType</th>\n",
       "      <th>nst</th>\n",
       "      <th>gap</th>\n",
       "      <th>dmin</th>\n",
       "      <th>rms</th>\n",
       "      <th>net</th>\n",
       "      <th>updated</th>\n",
       "      <th>place</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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",
       "      <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>usc000nzvd</th>\n",
       "      <td>2014-04-01 23:46:47.260</td>\n",
       "      <td>-19.6097</td>\n",
       "      <td>-70.7691</td>\n",
       "      <td>25.00</td>\n",
       "      <td>8.2</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.609</td>\n",
       "      <td>0.66</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-07-30T16:24:51.223Z</td>\n",
       "      <td>94km NW of Iquique, Chile</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000rki5</th>\n",
       "      <td>2014-06-23 20:53:09.700</td>\n",
       "      <td>51.8486</td>\n",
       "      <td>178.7352</td>\n",
       "      <td>109.00</td>\n",
       "      <td>7.9</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.133</td>\n",
       "      <td>0.71</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-04-18T21:54:08.699Z</td>\n",
       "      <td>19km SE of Little Sitkin Island, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000p27i</th>\n",
       "      <td>2014-04-03 02:43:13.110</td>\n",
       "      <td>-20.5709</td>\n",
       "      <td>-70.4931</td>\n",
       "      <td>22.40</td>\n",
       "      <td>7.7</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1.029</td>\n",
       "      <td>0.82</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-06-06T07:31:05.755Z</td>\n",
       "      <td>53km SW of Iquique, Chile</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000phx5</th>\n",
       "      <td>2014-04-12 20:14:39.300</td>\n",
       "      <td>-11.2701</td>\n",
       "      <td>162.1481</td>\n",
       "      <td>22.56</td>\n",
       "      <td>7.6</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2.828</td>\n",
       "      <td>0.71</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-04-18T21:54:27.398Z</td>\n",
       "      <td>93km SSE of Kirakira, Solomon Islands</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usb000pr89</th>\n",
       "      <td>2014-04-19 13:28:00.810</td>\n",
       "      <td>-6.7547</td>\n",
       "      <td>155.0241</td>\n",
       "      <td>43.37</td>\n",
       "      <td>7.5</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.820</td>\n",
       "      <td>1.25</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-04-18T21:54:18.633Z</td>\n",
       "      <td>70km SW of Panguna, Papua New Guinea</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000piqj</th>\n",
       "      <td>2014-04-13 12:36:19.230</td>\n",
       "      <td>-11.4633</td>\n",
       "      <td>162.0511</td>\n",
       "      <td>39.00</td>\n",
       "      <td>7.4</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.0</td>\n",
       "      <td>2.885</td>\n",
       "      <td>1.00</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-08-13T19:29:13.018Z</td>\n",
       "      <td>112km S of Kirakira, Solomon Islands</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usb000slwn</th>\n",
       "      <td>2014-10-14 03:51:34.460</td>\n",
       "      <td>12.5262</td>\n",
       "      <td>-88.1225</td>\n",
       "      <td>40.00</td>\n",
       "      <td>7.3</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.078</td>\n",
       "      <td>0.70</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-08-13T19:35:02.679Z</td>\n",
       "      <td>74km S of Intipuca, El Salvador</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usb000pq41</th>\n",
       "      <td>2014-04-18 14:27:24.920</td>\n",
       "      <td>17.3970</td>\n",
       "      <td>-100.9723</td>\n",
       "      <td>24.00</td>\n",
       "      <td>7.2</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.0</td>\n",
       "      <td>2.250</td>\n",
       "      <td>1.20</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-08-13T19:30:39.599Z</td>\n",
       "      <td>33km ESE of Petatlan, Mexico</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000pft9</th>\n",
       "      <td>2014-04-11 07:07:23.130</td>\n",
       "      <td>-6.5858</td>\n",
       "      <td>155.0485</td>\n",
       "      <td>60.53</td>\n",
       "      <td>7.1</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21.0</td>\n",
       "      <td>3.729</td>\n",
       "      <td>0.88</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-07-01T02:37:56.000Z</td>\n",
       "      <td>56km WSW of Panguna, Papua New Guinea</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000sxh8</th>\n",
       "      <td>2014-11-15 02:31:41.720</td>\n",
       "      <td>1.8929</td>\n",
       "      <td>126.5217</td>\n",
       "      <td>45.00</td>\n",
       "      <td>7.1</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.397</td>\n",
       "      <td>0.71</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-03-20T18:42:02.735Z</td>\n",
       "      <td>154km NW of Kota Ternate, Indonesia</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000stdc</th>\n",
       "      <td>2014-11-01 18:57:22.380</td>\n",
       "      <td>-19.6903</td>\n",
       "      <td>-177.7587</td>\n",
       "      <td>434.00</td>\n",
       "      <td>7.1</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.415</td>\n",
       "      <td>0.84</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-01-20T09:03:09.040Z</td>\n",
       "      <td>144km NE of Ndoi Island, Fiji</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usb000sk6k</th>\n",
       "      <td>2014-10-09 02:14:31.440</td>\n",
       "      <td>-32.1082</td>\n",
       "      <td>-110.8112</td>\n",
       "      <td>16.54</td>\n",
       "      <td>7.0</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.0</td>\n",
       "      <td>5.127</td>\n",
       "      <td>0.43</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-08-13T19:31:44.129Z</td>\n",
       "      <td>Southern East Pacific Rise</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000mnvj</th>\n",
       "      <td>2014-02-12 09:19:49.060</td>\n",
       "      <td>35.9053</td>\n",
       "      <td>82.5864</td>\n",
       "      <td>10.00</td>\n",
       "      <td>6.9</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.0</td>\n",
       "      <td>7.496</td>\n",
       "      <td>0.83</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-01-30T23:03:45.902Z</td>\n",
       "      <td>272km ESE of Hotan, China</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000nzwm</th>\n",
       "      <td>2014-04-01 23:57:58.790</td>\n",
       "      <td>-19.8927</td>\n",
       "      <td>-70.9455</td>\n",
       "      <td>28.42</td>\n",
       "      <td>6.9</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.0</td>\n",
       "      <td>0.828</td>\n",
       "      <td>0.93</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-05-29T23:32:13.000Z</td>\n",
       "      <td>91km WNW of Iquique, Chile</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usb000r2hc</th>\n",
       "      <td>2014-05-24 09:25:02.440</td>\n",
       "      <td>40.2893</td>\n",
       "      <td>25.3889</td>\n",
       "      <td>6.43</td>\n",
       "      <td>6.9</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.402</td>\n",
       "      <td>0.67</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-01-28T09:17:17.266Z</td>\n",
       "      <td>22km SSW of Kamariotissa, Greece</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000rngj</th>\n",
       "      <td>2014-06-29 07:52:55.170</td>\n",
       "      <td>-55.4703</td>\n",
       "      <td>-28.3669</td>\n",
       "      <td>8.00</td>\n",
       "      <td>6.9</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.0</td>\n",
       "      <td>4.838</td>\n",
       "      <td>0.76</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-09-26T11:49:45.000Z</td>\n",
       "      <td>154km NNW of Visokoi Island,</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000rkg5</th>\n",
       "      <td>2014-06-23 19:19:15.940</td>\n",
       "      <td>-29.9772</td>\n",
       "      <td>-177.7247</td>\n",
       "      <td>20.00</td>\n",
       "      <td>6.9</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.751</td>\n",
       "      <td>0.99</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-09-19T17:23:16.000Z</td>\n",
       "      <td>80km SSE of Raoul Island, New Zealand</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usb000ruzk</th>\n",
       "      <td>2014-07-21 14:54:41.000</td>\n",
       "      <td>-19.8015</td>\n",
       "      <td>-178.4001</td>\n",
       "      <td>615.42</td>\n",
       "      <td>6.9</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.934</td>\n",
       "      <td>0.96</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-10-17T21:12:13.000Z</td>\n",
       "      <td>99km NNE of Ndoi Island, Fiji</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000rr6a</th>\n",
       "      <td>2014-07-07 11:23:54.780</td>\n",
       "      <td>14.7240</td>\n",
       "      <td>-92.4614</td>\n",
       "      <td>53.00</td>\n",
       "      <td>6.9</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.263</td>\n",
       "      <td>1.38</td>\n",
       "      <td>us</td>\n",
       "      <td>2015-01-28T13:08:13.282Z</td>\n",
       "      <td>4km W of Puerto Madero, Mexico</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usb000rzki</th>\n",
       "      <td>2014-08-03 00:22:03.680</td>\n",
       "      <td>0.8295</td>\n",
       "      <td>146.1688</td>\n",
       "      <td>13.00</td>\n",
       "      <td>6.9</td>\n",
       "      <td>mww</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>6.393</td>\n",
       "      <td>0.93</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-10-29T19:52:55.000Z</td>\n",
       "      <td>Federated States of Micronesia region</td>\n",
       "      <td>earthquake</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              time  latitude  longitude   depth  mag magType  \\\n",
       "id                                                                             \n",
       "usc000nzvd 2014-04-01 23:46:47.260  -19.6097   -70.7691   25.00  8.2     mww   \n",
       "usc000rki5 2014-06-23 20:53:09.700   51.8486   178.7352  109.00  7.9     mww   \n",
       "usc000p27i 2014-04-03 02:43:13.110  -20.5709   -70.4931   22.40  7.7     mww   \n",
       "usc000phx5 2014-04-12 20:14:39.300  -11.2701   162.1481   22.56  7.6     mww   \n",
       "usb000pr89 2014-04-19 13:28:00.810   -6.7547   155.0241   43.37  7.5     mww   \n",
       "usc000piqj 2014-04-13 12:36:19.230  -11.4633   162.0511   39.00  7.4     mww   \n",
       "usb000slwn 2014-10-14 03:51:34.460   12.5262   -88.1225   40.00  7.3     mww   \n",
       "usb000pq41 2014-04-18 14:27:24.920   17.3970  -100.9723   24.00  7.2     mww   \n",
       "usc000pft9 2014-04-11 07:07:23.130   -6.5858   155.0485   60.53  7.1     mww   \n",
       "usc000sxh8 2014-11-15 02:31:41.720    1.8929   126.5217   45.00  7.1     mww   \n",
       "usc000stdc 2014-11-01 18:57:22.380  -19.6903  -177.7587  434.00  7.1     mww   \n",
       "usb000sk6k 2014-10-09 02:14:31.440  -32.1082  -110.8112   16.54  7.0     mww   \n",
       "usc000mnvj 2014-02-12 09:19:49.060   35.9053    82.5864   10.00  6.9     mww   \n",
       "usc000nzwm 2014-04-01 23:57:58.790  -19.8927   -70.9455   28.42  6.9     mww   \n",
       "usb000r2hc 2014-05-24 09:25:02.440   40.2893    25.3889    6.43  6.9     mww   \n",
       "usc000rngj 2014-06-29 07:52:55.170  -55.4703   -28.3669    8.00  6.9     mww   \n",
       "usc000rkg5 2014-06-23 19:19:15.940  -29.9772  -177.7247   20.00  6.9     mww   \n",
       "usb000ruzk 2014-07-21 14:54:41.000  -19.8015  -178.4001  615.42  6.9     mww   \n",
       "usc000rr6a 2014-07-07 11:23:54.780   14.7240   -92.4614   53.00  6.9     mww   \n",
       "usb000rzki 2014-08-03 00:22:03.680    0.8295   146.1688   13.00  6.9     mww   \n",
       "\n",
       "            nst    gap   dmin   rms net                   updated  \\\n",
       "id                                                                  \n",
       "usc000nzvd  NaN   23.0  0.609  0.66  us  2015-07-30T16:24:51.223Z   \n",
       "usc000rki5  NaN   22.0  0.133  0.71  us  2015-04-18T21:54:08.699Z   \n",
       "usc000p27i  NaN   44.0  1.029  0.82  us  2015-06-06T07:31:05.755Z   \n",
       "usc000phx5  NaN   13.0  2.828  0.71  us  2015-04-18T21:54:27.398Z   \n",
       "usb000pr89  NaN   16.0  3.820  1.25  us  2015-04-18T21:54:18.633Z   \n",
       "usc000piqj  NaN   17.0  2.885  1.00  us  2015-08-13T19:29:13.018Z   \n",
       "usb000slwn  NaN   18.0  1.078  0.70  us  2015-08-13T19:35:02.679Z   \n",
       "usb000pq41  NaN   46.0  2.250  1.20  us  2015-08-13T19:30:39.599Z   \n",
       "usc000pft9  NaN   21.0  3.729  0.88  us  2014-07-01T02:37:56.000Z   \n",
       "usc000sxh8  NaN   18.0  1.397  0.71  us  2015-03-20T18:42:02.735Z   \n",
       "usc000stdc  NaN   13.0  4.415  0.84  us  2015-01-20T09:03:09.040Z   \n",
       "usb000sk6k  NaN   22.0  5.127  0.43  us  2015-08-13T19:31:44.129Z   \n",
       "usc000mnvj  NaN   18.0  7.496  0.83  us  2015-01-30T23:03:45.902Z   \n",
       "usc000nzwm  NaN  119.0  0.828  0.93  us  2014-05-29T23:32:13.000Z   \n",
       "usb000r2hc  NaN   25.0  0.402  0.67  us  2015-01-28T09:17:17.266Z   \n",
       "usc000rngj  NaN   25.0  4.838  0.76  us  2014-09-26T11:49:45.000Z   \n",
       "usc000rkg5  NaN   35.0  0.751  0.99  us  2014-09-19T17:23:16.000Z   \n",
       "usb000ruzk  NaN   15.0  3.934  0.96  us  2014-10-17T21:12:13.000Z   \n",
       "usc000rr6a  NaN   51.0  0.263  1.38  us  2015-01-28T13:08:13.282Z   \n",
       "usb000rzki  NaN   12.0  6.393  0.93  us  2014-10-29T19:52:55.000Z   \n",
       "\n",
       "                                              place        type  \n",
       "id                                                               \n",
       "usc000nzvd                94km NW of Iquique, Chile  earthquake  \n",
       "usc000rki5  19km SE of Little Sitkin Island, Alaska  earthquake  \n",
       "usc000p27i                53km SW of Iquique, Chile  earthquake  \n",
       "usc000phx5    93km SSE of Kirakira, Solomon Islands  earthquake  \n",
       "usb000pr89     70km SW of Panguna, Papua New Guinea  earthquake  \n",
       "usc000piqj     112km S of Kirakira, Solomon Islands  earthquake  \n",
       "usb000slwn          74km S of Intipuca, El Salvador  earthquake  \n",
       "usb000pq41             33km ESE of Petatlan, Mexico  earthquake  \n",
       "usc000pft9    56km WSW of Panguna, Papua New Guinea  earthquake  \n",
       "usc000sxh8      154km NW of Kota Ternate, Indonesia  earthquake  \n",
       "usc000stdc            144km NE of Ndoi Island, Fiji  earthquake  \n",
       "usb000sk6k               Southern East Pacific Rise  earthquake  \n",
       "usc000mnvj                272km ESE of Hotan, China  earthquake  \n",
       "usc000nzwm               91km WNW of Iquique, Chile  earthquake  \n",
       "usb000r2hc         22km SSW of Kamariotissa, Greece  earthquake  \n",
       "usc000rngj            154km NNW of Visokoi Island,   earthquake  \n",
       "usc000rkg5    80km SSE of Raoul Island, New Zealand  earthquake  \n",
       "usb000ruzk            99km NNE of Ndoi Island, Fiji  earthquake  \n",
       "usc000rr6a           4km W of Puerto Madero, Mexico  earthquake  \n",
       "usb000rzki    Federated States of Micronesia region  earthquake  "
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nlargest(20, 'mag')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Examine the structure of the `place` column. The state / country information seems to be in there. How would you get it out?\n",
    "\n",
    "### 5) Extract the state or country using Pandas [text data functions](https://pandas.pydata.org/pandas-docs/stable/text.html)\n",
    "\n",
    "Add it as a new column to the dataframe called `country`. Note that some of the \"countries\" are actually U.S. states."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>depth</th>\n",
       "      <th>mag</th>\n",
       "      <th>magType</th>\n",
       "      <th>nst</th>\n",
       "      <th>gap</th>\n",
       "      <th>dmin</th>\n",
       "      <th>rms</th>\n",
       "      <th>net</th>\n",
       "      <th>updated</th>\n",
       "      <th>place</th>\n",
       "      <th>type</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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",
       "      <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>ak11155107</th>\n",
       "      <td>2014-01-31 23:53:37.000</td>\n",
       "      <td>60.252000</td>\n",
       "      <td>-152.7081</td>\n",
       "      <td>90.20</td>\n",
       "      <td>1.10</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2900</td>\n",
       "      <td>ak</td>\n",
       "      <td>2014-02-05T19:34:41.515Z</td>\n",
       "      <td>26km S of Redoubt Volcano, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Alaska</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nn00436847</th>\n",
       "      <td>2014-01-31 23:48:35.452</td>\n",
       "      <td>37.070300</td>\n",
       "      <td>-115.1309</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.33</td>\n",
       "      <td>ml</td>\n",
       "      <td>4.0</td>\n",
       "      <td>171.43</td>\n",
       "      <td>0.34200</td>\n",
       "      <td>0.0247</td>\n",
       "      <td>nn</td>\n",
       "      <td>2014-02-01T01:35:09.000Z</td>\n",
       "      <td>32km S of Alamo, Nevada</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Nevada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ak11151142</th>\n",
       "      <td>2014-01-31 23:47:24.000</td>\n",
       "      <td>64.671700</td>\n",
       "      <td>-149.2528</td>\n",
       "      <td>7.10</td>\n",
       "      <td>1.30</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ak</td>\n",
       "      <td>2014-02-01T00:03:53.010Z</td>\n",
       "      <td>12km NNW of North Nenana, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Alaska</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ak11151135</th>\n",
       "      <td>2014-01-31 23:30:54.000</td>\n",
       "      <td>63.188700</td>\n",
       "      <td>-148.9575</td>\n",
       "      <td>96.50</td>\n",
       "      <td>0.80</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0700</td>\n",
       "      <td>ak</td>\n",
       "      <td>2014-01-31T23:41:25.007Z</td>\n",
       "      <td>22km S of Cantwell, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Alaska</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ci37171541</th>\n",
       "      <td>2014-01-31 23:30:52.210</td>\n",
       "      <td>32.616833</td>\n",
       "      <td>-115.6925</td>\n",
       "      <td>10.59</td>\n",
       "      <td>1.34</td>\n",
       "      <td>ml</td>\n",
       "      <td>6.0</td>\n",
       "      <td>285.00</td>\n",
       "      <td>0.04321</td>\n",
       "      <td>0.2000</td>\n",
       "      <td>ci</td>\n",
       "      <td>2014-02-01T00:13:20.107Z</td>\n",
       "      <td>10km WNW of Progreso, Mexico</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              time   latitude  longitude  depth   mag magType  \\\n",
       "id                                                                              \n",
       "ak11155107 2014-01-31 23:53:37.000  60.252000  -152.7081  90.20  1.10      ml   \n",
       "nn00436847 2014-01-31 23:48:35.452  37.070300  -115.1309   0.00  1.33      ml   \n",
       "ak11151142 2014-01-31 23:47:24.000  64.671700  -149.2528   7.10  1.30      ml   \n",
       "ak11151135 2014-01-31 23:30:54.000  63.188700  -148.9575  96.50  0.80      ml   \n",
       "ci37171541 2014-01-31 23:30:52.210  32.616833  -115.6925  10.59  1.34      ml   \n",
       "\n",
       "            nst     gap     dmin     rms net                   updated  \\\n",
       "id                                                                       \n",
       "ak11155107  NaN     NaN      NaN  0.2900  ak  2014-02-05T19:34:41.515Z   \n",
       "nn00436847  4.0  171.43  0.34200  0.0247  nn  2014-02-01T01:35:09.000Z   \n",
       "ak11151142  NaN     NaN      NaN  1.0000  ak  2014-02-01T00:03:53.010Z   \n",
       "ak11151135  NaN     NaN      NaN  1.0700  ak  2014-01-31T23:41:25.007Z   \n",
       "ci37171541  6.0  285.00  0.04321  0.2000  ci  2014-02-01T00:13:20.107Z   \n",
       "\n",
       "                                        place        type country  \n",
       "id                                                                 \n",
       "ak11155107  26km S of Redoubt Volcano, Alaska  earthquake  Alaska  \n",
       "nn00436847            32km S of Alamo, Nevada  earthquake  Nevada  \n",
       "ak11151142   12km NNW of North Nenana, Alaska  earthquake  Alaska  \n",
       "ak11151135         22km S of Cantwell, Alaska  earthquake  Alaska  \n",
       "ci37171541       10km WNW of Progreso, Mexico  earthquake  Mexico  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('http://www.ldeo.columbia.edu/~rpa/usgs_earthquakes_2014.csv', parse_dates=['time'], index_col='id')\n",
    "df['country'] = df.place.str.split(', ').str[-1]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>ak11155107</th>\n",
       "      <td>2014-01-31 23:53:37.000</td>\n",
       "      <td>60.252000</td>\n",
       "      <td>-152.7081</td>\n",
       "      <td>90.20</td>\n",
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       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2900</td>\n",
       "      <td>ak</td>\n",
       "      <td>2014-02-05T19:34:41.515Z</td>\n",
       "      <td>26km S of Redoubt Volcano, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Alaska</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nn00436847</th>\n",
       "      <td>2014-01-31 23:48:35.452</td>\n",
       "      <td>37.070300</td>\n",
       "      <td>-115.1309</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.33</td>\n",
       "      <td>ml</td>\n",
       "      <td>4.0</td>\n",
       "      <td>171.43</td>\n",
       "      <td>0.34200</td>\n",
       "      <td>0.0247</td>\n",
       "      <td>nn</td>\n",
       "      <td>2014-02-01T01:35:09.000Z</td>\n",
       "      <td>32km S of Alamo, Nevada</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Nevada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ak11151142</th>\n",
       "      <td>2014-01-31 23:47:24.000</td>\n",
       "      <td>64.671700</td>\n",
       "      <td>-149.2528</td>\n",
       "      <td>7.10</td>\n",
       "      <td>1.30</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>ak</td>\n",
       "      <td>2014-02-01T00:03:53.010Z</td>\n",
       "      <td>12km NNW of North Nenana, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Alaska</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ak11151135</th>\n",
       "      <td>2014-01-31 23:30:54.000</td>\n",
       "      <td>63.188700</td>\n",
       "      <td>-148.9575</td>\n",
       "      <td>96.50</td>\n",
       "      <td>0.80</td>\n",
       "      <td>ml</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0700</td>\n",
       "      <td>ak</td>\n",
       "      <td>2014-01-31T23:41:25.007Z</td>\n",
       "      <td>22km S of Cantwell, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Alaska</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ci37171541</th>\n",
       "      <td>2014-01-31 23:30:52.210</td>\n",
       "      <td>32.616833</td>\n",
       "      <td>-115.6925</td>\n",
       "      <td>10.59</td>\n",
       "      <td>1.34</td>\n",
       "      <td>ml</td>\n",
       "      <td>6.0</td>\n",
       "      <td>285.00</td>\n",
       "      <td>0.04321</td>\n",
       "      <td>0.2000</td>\n",
       "      <td>ci</td>\n",
       "      <td>2014-02-01T00:13:20.107Z</td>\n",
       "      <td>10km WNW of Progreso, Mexico</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Mexico</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              time   latitude  longitude  depth   mag magType  \\\n",
       "id                                                                              \n",
       "ak11155107 2014-01-31 23:53:37.000  60.252000  -152.7081  90.20  1.10      ml   \n",
       "nn00436847 2014-01-31 23:48:35.452  37.070300  -115.1309   0.00  1.33      ml   \n",
       "ak11151142 2014-01-31 23:47:24.000  64.671700  -149.2528   7.10  1.30      ml   \n",
       "ak11151135 2014-01-31 23:30:54.000  63.188700  -148.9575  96.50  0.80      ml   \n",
       "ci37171541 2014-01-31 23:30:52.210  32.616833  -115.6925  10.59  1.34      ml   \n",
       "\n",
       "            nst     gap     dmin     rms net                   updated  \\\n",
       "id                                                                       \n",
       "ak11155107  NaN     NaN      NaN  0.2900  ak  2014-02-05T19:34:41.515Z   \n",
       "nn00436847  4.0  171.43  0.34200  0.0247  nn  2014-02-01T01:35:09.000Z   \n",
       "ak11151142  NaN     NaN      NaN  1.0000  ak  2014-02-01T00:03:53.010Z   \n",
       "ak11151135  NaN     NaN      NaN  1.0700  ak  2014-01-31T23:41:25.007Z   \n",
       "ci37171541  6.0  285.00  0.04321  0.2000  ci  2014-02-01T00:13:20.107Z   \n",
       "\n",
       "                                        place        type country  \n",
       "id                                                                 \n",
       "ak11155107  26km S of Redoubt Volcano, Alaska  earthquake  Alaska  \n",
       "nn00436847            32km S of Alamo, Nevada  earthquake  Nevada  \n",
       "ak11151142   12km NNW of North Nenana, Alaska  earthquake  Alaska  \n",
       "ak11151135         22km S of Cantwell, Alaska  earthquake  Alaska  \n",
       "ci37171541       10km WNW of Progreso, Mexico  earthquake  Mexico  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6) Display each unique value from the new column\n",
    "\n",
    "https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.unique.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Alaska' 'Nevada' 'Mexico' 'California' 'Papua New Guinea' 'New Zealand'\n",
      " 'Missouri' 'South of the Fiji Islands' 'Montana' 'British Virgin Islands'\n",
      " 'Washington' 'Oregon' 'Canada' 'Fiji' 'Wyoming' 'Antarctica' 'Chile'\n",
      " 'Utah' 'Indonesia' 'Solomon Islands' 'Micronesia' 'Oklahoma' 'Hawaii'\n",
      " 'Russia' 'Arizona' 'Philippines' 'Bolivia' 'Greece' 'Japan' 'Puerto Rico'\n",
      " 'Iran' 'Tonga' 'Wallis and Futuna' 'Colorado' 'Guam' 'CA'\n",
      " 'Carlsberg Ridge' 'Idaho' 'Pakistan'\n",
      " 'Off the west coast of northern Sumatra' 'Burma' 'China' 'Peru'\n",
      " 'Off the east coast of the North Island of New Zealand' 'Costa Rica'\n",
      " 'Reykjanes Ridge' 'East Timor' 'Central East Pacific Rise'\n",
      " 'Mid-Indian Ridge' 'Japan region' 'Northern Mariana Islands'\n",
      " 'El Salvador' 'Samoa' 'Northern Mid-Atlantic Ridge' 'Taiwan' 'Arkansas'\n",
      " 'South Sandwich Islands' 'Colombia' 'Dominican Republic' 'Argentina'\n",
      " 'Texas' 'New Hampshire' 'Saint Helena' 'West of Vancouver Island'\n",
      " 'Tanzania' 'Vanuatu' 'Bosnia and Herzegovina' 'India' 'American Samoa'\n",
      " 'Tennessee' 'Southeast of Easter Island' 'Kentucky' 'Serbia'\n",
      " 'Off the coast of Oregon' 'Nicaragua' 'Republic of the Congo'\n",
      " 'Western Indian-Antarctic Ridge' 'U.S. Virgin Islands'\n",
      " 'Southern East Pacific Rise' '' 'Guatemala' 'Kyrgyzstan' 'Kuril Islands'\n",
      " 'Afghanistan' 'Scotia Sea' 'West of Macquarie Island'\n",
      " 'North of Ascension Island' 'New Caledonia' 'Saudi Arabia'\n",
      " 'Southern Pacific Ocean' 'Romania' 'Italy' 'Southern Mid-Atlantic Ridge'\n",
      " 'Panama' 'South Indian Ocean' 'West Chile Rise' 'South of Panama'\n",
      " 'Albania' 'Haiti' 'Ohio' 'Ecuador' 'Tajikistan' 'Venezuela'\n",
      " 'North Indian Ocean' 'Hungary' 'Central Mid-Atlantic Ridge'\n",
      " 'Christmas Island' 'West of the Galapagos Islands' 'Bouvet Island'\n",
      " 'Maine' 'Greenland Sea' 'South of Africa' 'Eritrea' 'Vanuatu region'\n",
      " 'North of Svalbard' 'Sea of Okhotsk' '1km ENE of Quarry at VICTORVILLE'\n",
      " 'Turkmenistan' 'East of Severnaya Zemlya' '1km NNE of Quarry at BORON'\n",
      " 'Southeast Indian Ridge' 'Turkey' 'British Indian Ocean Territory'\n",
      " 'Australia' 'Fiji region' 'Southwest of Africa'\n",
      " '3km WSW of Quarry at CUSHENBURY' 'Cuba' 'Guadeloupe' 'Azerbaijan'\n",
      " 'South Carolina' 'Massachusetts' 'Pennsylvania' 'eastern Montana'\n",
      " 'South Atlantic Ocean' 'Anguilla' 'Mauritania' 'New Mexico'\n",
      " 'East of the North Island of New Zealand' 'Nebraska'\n",
      " 'Chagos Archipelago region' 'Banda Sea' 'Easter Island region' 'Comoros'\n",
      " 'Galapagos Triple Junction region' 'Honduras'\n",
      " 'South of the Kermadec Islands' 'Davis Strait'\n",
      " 'East of the Kuril Islands' 'Off the south coast of Australia'\n",
      " 'Prince Edward Islands' 'Mongolia' 'Mauritius - Reunion region'\n",
      " 'Drake Passage' 'Indian Ocean Triple Junction'\n",
      " 'Prince Edward Islands region' 'Cape Verde' 'Yemen'\n",
      " 'Owen Fracture Zone region' 'Spain' 'North Atlantic Ocean' 'New York'\n",
      " 'Algeria' 'Pacific-Antarctic Ridge' 'Mauritius' 'Southwest Indian Ridge'\n",
      " 'Aruba' 'Svalbard and Jan Mayen' 'United Kingdom' 'Crozet Islands region'\n",
      " 'Barbados' 'Kansas' 'Cook Islands' 'Illinois' 'Bangladesh' 'South Sudan'\n",
      " 'North Carolina' 'Greenland' 'Martinique' 'South Dakota'\n",
      " 'Balleny Islands region' 'Cyprus' 'South of Tonga' 'Malaysia'\n",
      " 'North Korea' 'Off the coast of Central America' 'Cayman Islands'\n",
      " 'Portugal' 'Ethiopia' 'Azores-Cape St. Vincent Ridge' 'Uzbekistan'\n",
      " 'India region' 'French Southern Territories' 'Poland'\n",
      " 'South Georgia Island region' 'North of New Zealand' 'Egypt' 'Morocco'\n",
      " 'Slovenia' 'East of the South Sandwich Islands' 'Ascension Island region'\n",
      " 'western Montana' 'East central Pacific Ocean' 'Rhode Island' 'Timor Sea'\n",
      " 'West of Australia' 'Labrador Sea' 'Somalia' 'Zambia' 'Saint Martin'\n",
      " 'Ukraine' 'Southwest of Australia' 'Mariana Islands region'\n",
      " 'Norwegian Sea' 'France' 'Gulf of Alaska' 'Northwest of Australia'\n",
      " 'Montenegro' 'Bermuda' 'South Africa' 'North of Severnaya Zemlya'\n",
      " 'Saint Kitts and Nevis' 'Iraq' 'Bouvet Island region'\n",
      " 'North of Franz Josef Land' 'Laptev Sea' 'Brazil'\n",
      " 'Southeast central Pacific Ocean'\n",
      " 'South Georgia and the South Sandwich Islands' 'Northern California'\n",
      " 'Central California' 'Czech Republic' 'New Jersey' 'Mozambique Channel'\n",
      " 'Santa Cruz Islands region' 'Macquarie Island region' 'Alaska Peninsula'\n",
      " 'Oman' 'Azores Islands region' 'Off the coast of Ecuador'\n",
      " 'Central Alaska' 'Macedonia' 'Southeastern Alaska' 'Southern Alaska'\n",
      " 'Lebanon' 'northern Alaska' 'Jordan' 'Southern California'\n",
      " 'Puerto Rico region' 'Virginia' 'Djibouti' 'Molucca Sea'\n",
      " 'Leeward Islands' 'Germany' 'south of Panama' 'Celebes Sea' 'Iceland'\n",
      " 'Falkland Islands region' 'Ecuador region' 'Vietnam' 'South of Alaska'\n",
      " 'Philippine Islands region' 'western Texas' 'northern Mid-Atlantic Ridge'\n",
      " 'Russia region' 'Thailand' 'Peru-Ecuador border region' 'Jamaica'\n",
      " 'Kermadec Islands region' 'north of Ascension Island'\n",
      " 'Tristan da Cunha region' 'Western Australia' 'Tonga region'\n",
      " 'Palau region' 'East of the Philippine Islands' 'southern Idaho'\n",
      " 'Kazakhstan' 'south of the Aleutian Islands'\n",
      " 'South Sandwich Islands region' 'western Xizang' 'Norway' 'West Virginia'\n",
      " 'South Shetland Islands' 'Virgin Islands region'\n",
      " 'offshore Northern California' 'South of Australia'\n",
      " 'Southwestern Atlantic Ocean' 'Saint Eustatius and Saba ' 'Minnesota'\n",
      " 'Jersey' 'Georgia' 'Northern East Pacific Rise' 'Trinidad and Tobago'\n",
      " 'Burundi' 'Niue' 'Dominica' 'Nepal'\n",
      " 'Off the coast of Southeastern Alaska'\n",
      " 'Federated States of Micronesia region' 'Bay of Bengal' 'Barbuda'\n",
      " 'South Napa Earthquake' 'Connecticut' 'Vermont' 'Alabama'\n",
      " 'East of the Volcano Islands' 'Syria' 'Uganda' 'Sweden'\n",
      " 'South of the Mariana Islands' 'Mozambique'\n",
      " 'Saint Vincent and the Grenadines' 'Sudan' 'Socotra region'\n",
      " 'French Polynesia' 'Palau' 'Tennessee-Virginia border region'\n",
      " 'Democratic Republic of the Congo' 'Bhutan' 'Angola' 'Portugal region'\n",
      " 'Malawi' 'South of Tasmania' 'Eastern Greenland' 'Kosovo' 'Saint Lucia'\n",
      " 'Off the south coast of Northwest Africa' 'Sierra Leone']\n"
     ]
    }
   ],
   "source": [
    "unique_countries = df['country'].unique()\n",
    "print(unique_countries)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7) Create a filtered dataset that only has earthquakes of magnitude 4 or larger and"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>depth</th>\n",
       "      <th>mag</th>\n",
       "      <th>magType</th>\n",
       "      <th>nst</th>\n",
       "      <th>gap</th>\n",
       "      <th>dmin</th>\n",
       "      <th>rms</th>\n",
       "      <th>net</th>\n",
       "      <th>updated</th>\n",
       "      <th>place</th>\n",
       "      <th>type</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>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",
       "      <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>usc000mqlp</th>\n",
       "      <td>2014-01-31 23:08:03.660</td>\n",
       "      <td>-4.9758</td>\n",
       "      <td>153.9466</td>\n",
       "      <td>110.18</td>\n",
       "      <td>4.2</td>\n",
       "      <td>mb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.0</td>\n",
       "      <td>1.940</td>\n",
       "      <td>0.61</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-04-08T01:43:19.000Z</td>\n",
       "      <td>115km ESE of Taron, Papua New Guinea</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Papua New Guinea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000mqln</th>\n",
       "      <td>2014-01-31 22:54:32.970</td>\n",
       "      <td>-28.1775</td>\n",
       "      <td>-177.9058</td>\n",
       "      <td>95.84</td>\n",
       "      <td>4.3</td>\n",
       "      <td>mb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1.063</td>\n",
       "      <td>1.14</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-04-08T01:43:19.000Z</td>\n",
       "      <td>120km N of Raoul Island, New Zealand</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>New Zealand</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000mqls</th>\n",
       "      <td>2014-01-31 22:49:49.740</td>\n",
       "      <td>-23.1192</td>\n",
       "      <td>179.1174</td>\n",
       "      <td>528.34</td>\n",
       "      <td>4.4</td>\n",
       "      <td>mb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>5.439</td>\n",
       "      <td>0.95</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-04-08T01:43:19.000Z</td>\n",
       "      <td>South of the Fiji Islands</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>South of the Fiji Islands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000mf1x</th>\n",
       "      <td>2014-01-31 22:19:44.330</td>\n",
       "      <td>51.1569</td>\n",
       "      <td>-178.0910</td>\n",
       "      <td>37.50</td>\n",
       "      <td>4.2</td>\n",
       "      <td>mb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.83</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-04-08T01:43:19.000Z</td>\n",
       "      <td>72km E of Amatignak Island, Alaska</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Alaska</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usc000mqlm</th>\n",
       "      <td>2014-01-31 21:56:44.320</td>\n",
       "      <td>-4.8800</td>\n",
       "      <td>153.8434</td>\n",
       "      <td>112.66</td>\n",
       "      <td>4.3</td>\n",
       "      <td>mb</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.0</td>\n",
       "      <td>1.808</td>\n",
       "      <td>0.79</td>\n",
       "      <td>us</td>\n",
       "      <td>2014-04-08T01:43:19.000Z</td>\n",
       "      <td>100km ESE of Taron, Papua New Guinea</td>\n",
       "      <td>earthquake</td>\n",
       "      <td>Papua New Guinea</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              time  latitude  longitude   depth  mag magType  \\\n",
       "id                                                                             \n",
       "usc000mqlp 2014-01-31 23:08:03.660   -4.9758   153.9466  110.18  4.2      mb   \n",
       "usc000mqln 2014-01-31 22:54:32.970  -28.1775  -177.9058   95.84  4.3      mb   \n",
       "usc000mqls 2014-01-31 22:49:49.740  -23.1192   179.1174  528.34  4.4      mb   \n",
       "usc000mf1x 2014-01-31 22:19:44.330   51.1569  -178.0910   37.50  4.2      mb   \n",
       "usc000mqlm 2014-01-31 21:56:44.320   -4.8800   153.8434  112.66  4.3      mb   \n",
       "\n",
       "            nst    gap   dmin   rms net                   updated  \\\n",
       "id                                                                  \n",
       "usc000mqlp  NaN   98.0  1.940  0.61  us  2014-04-08T01:43:19.000Z   \n",
       "usc000mqln  NaN  104.0  1.063  1.14  us  2014-04-08T01:43:19.000Z   \n",
       "usc000mqls  NaN   80.0  5.439  0.95  us  2014-04-08T01:43:19.000Z   \n",
       "usc000mf1x  NaN    NaN    NaN  0.83  us  2014-04-08T01:43:19.000Z   \n",
       "usc000mqlm  NaN  199.0  1.808  0.79  us  2014-04-08T01:43:19.000Z   \n",
       "\n",
       "                                           place        type  \\\n",
       "id                                                             \n",
       "usc000mqlp  115km ESE of Taron, Papua New Guinea  earthquake   \n",
       "usc000mqln  120km N of Raoul Island, New Zealand  earthquake   \n",
       "usc000mqls             South of the Fiji Islands  earthquake   \n",
       "usc000mf1x    72km E of Amatignak Island, Alaska  earthquake   \n",
       "usc000mqlm  100km ESE of Taron, Papua New Guinea  earthquake   \n",
       "\n",
       "                              country  \n",
       "id                                     \n",
       "usc000mqlp           Papua New Guinea  \n",
       "usc000mqln                New Zealand  \n",
       "usc000mqls  South of the Fiji Islands  \n",
       "usc000mf1x                     Alaska  \n",
       "usc000mqlm           Papua New Guinea  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_df = df[df['mag'] >= 4]\n",
    "filtered_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### 8) Using the filtered dataset (magnitude > 4), count the number of earthquakes in each country/state. Make a bar chart of this number for the top 5 locations with the most earthquakes\n",
    "\n",
    "Location name on the x axis, Earthquake count on the y axis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "earthquake = filtered_df['country'].value_counts()\n",
    "top5_loc = earthquake.head(5)\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "top5_loc.plot(kind='bar')\n",
    "plt.title('Top 5 Locations with the Most Earthquakes and Magnitude is Greater than or Equal to 4')\n",
    "plt.xlabel('Country/State')\n",
    "plt.ylabel('Earthquake Count')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 9) Make a histogram the distribution of the Earthquake magnitudes\n",
    "\n",
    "https://pandas.pydata.org/pandas-docs/version/0.23/generated/pandas.DataFrame.hist.html\n",
    "https://matplotlib.org/api/_as_gen/matplotlib.pyplot.hist.html\n",
    "\n",
    "Do one subplot for the filtered and one for the unfiltered dataset.\n",
    "Use a Logarithmic scale. What sort of relationship do you see?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The relationship is that there are more earthquakes at lower magnitude in both the filtered and non-filtered data\n"
     ]
    }
   ],
   "source": [
    "fig, axes = plt.subplots(figsize=(12, 5), ncols=2, width_ratios=[2, 2])\n",
    "ax0, ax1 = axes\n",
    "\n",
    "mag_filtered = filtered_df['mag']\n",
    "ax0.hist(mag_filtered, bins=4, edgecolor='black')\n",
    "ax0.set_title('Histogram of Earthquake Magnitudes for Filtered Data')\n",
    "ax0.set_xlabel('Magnitude')\n",
    "ax0.set_ylabel('Frequency')\n",
    "ax0.set_yscale('log')\n",
    "\n",
    "mag = df['mag']\n",
    "ax1.hist(mag, bins=8, edgecolor='black')\n",
    "ax1.set_title('Histogram of Earthquake Magnitudes for Non-Filtered Data')\n",
    "ax1.set_xlabel('Magnitude')\n",
    "ax1.set_ylabel('Frequency')\n",
    "ax1.set_yscale('log')\n",
    "plt.show()\n",
    "\n",
    "print(\"The relationship is that there are more earthquakes at lower magnitude in both the filtered and non-filtered data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 11) Visualize the locations of earthquakes by making a scatterplot of their latitude and longitude\n",
    "\n",
    "Use a two-column subplot with both the filtered and unfiltered datasets. Color the points by magnitude. Make it pretty\n",
    "\n",
    "What difference do you note between the filtered and unfiltered datasets?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I notice that there are more earthquakes in the unfiltered dataset compared to the filtered dataset. There are more earthquakes especially along the west coast of the USA with magnitudes less than 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import warnings\n",
    "import cartopy\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from cartopy import crs as ccrs, feature as cfeature\n",
    "import matplotlib.colors\n",
    "from matplotlib.colors import LogNorm\n",
    "\n",
    "fig, axes = plt.subplots(figsize=(15, 5), ncols=2, width_ratios=[2, 2])\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "axes[0].set_title(\"Location of Significant Earthquakes With Size Indicating Relative Magnitude (Unfiltered Data)\", fontsize='small')\n",
    "longitude = df['longitude']\n",
    "latitude = df['latitude']\n",
    "mag = df['mag']\n",
    "df.plot.scatter(\"longitude\", \"latitude\", c = \"mag\", ax=axes[0])\n",
    "\n",
    "axes[1].set_title(\"Location of Significant Earthquakes With Size Indicating Relative Magnitude (Filtered Data)\", fontsize='small')\n",
    "longitude = filtered_df['longitude']\n",
    "latitude = filtered_df['latitude']\n",
    "mag = filtered_df['mag']\n",
    "filtered_df.plot.scatter(\"longitude\", \"latitude\", c = \"mag\", ax=axes[1])\n",
    "\n",
    "print(\"I notice that there are more earthquakes in the unfiltered dataset compared to the filtered dataset. There are more earthquakes especially along the west coast of the USA with magnitudes less than 4.\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}