Week04

week04/Exercise- Looking for location of largest earthquake.ipynb

@@ -0,0 +1,139 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "import json\n",
+    "import numpy as np "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#reads in data from the internet url given \n",
+    "quakes = requests.get(\"http://earthquake.usgs.gov/fdsnws/event/1/query.geojson\",\n",
+    "                     params={\n",
+    "                          'starttime': \"2000-01-01\",\n",
+    "                          \"maxlatitude\": \"58.723\",\n",
+    "                          \"minlatitude\": \"50.008\",\n",
+    "                          \"maxlongitude\": \"1.67\",\n",
+    "                          \"minlongitude\": \"-9.756\",\n",
+    "                          \"minmagnitude\": \"1\",\n",
+    "                          \"endtime\": \"2018-10-11\",\n",
+    "                          \"orderby\": \"time-asc\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#reads in data using json as a dictionary\n",
+    "earthquakes = json.loads(quakes.text)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "120"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#assuming count is the number of counted earthquakes in this dictionary\n",
+    "earthquakes['metadata']['count']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "120"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# creates a list of all the magnitudes of the earthquakes \n",
+    "eq_size = [earthquakes['features'][i]['properties']['mag'] for i in range(earthquakes['metadata']['count'])]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# searches for the location of the largest earthquake within list eq_size\n",
+    "# location is stored as a list\n",
+    "location = [j for j in range(len(eq_size)) if eq_size[j] == np.max(eq_size)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'England, United Kingdom'"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# gives location of the largest earthqukes\n",
+    "earthquakes['features'][location[0]]['properties']['place']"
+   ]
+  }
+ ],
+ "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": "3.8.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}