{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div style='background-image: url(\"../share/baku.jpg\") ; padding: 0px ; background-size: cover ; border-radius: 15px ; height: 250px; background-position: 0% 80%'>\n",
    "    <div style=\"float: right ; margin: 50px ; padding: 20px ; background: rgba(255 , 255 , 255 , 0.9) ; width: 50% ; height: 150px\">\n",
    "        <div style=\"position: relative ; top: 50% ; transform: translatey(-50%)\">\n",
    "            <div style=\"font-size: xx-large ; font-weight: 900 ; color: rgba(0 , 0 , 0 , 0.9) ; line-height: 100%\">ObsPy Tutorial</div>\n",
    "            <div style=\"font-size: large ; padding-top: 20px ; color: rgba(0 , 0 , 0 , 0.7)\">Handling Event Metadata</div>\n",
    "        </div>\n",
    "    </div>\n",
    "</div>\n",
    "image: User:Abbaszade656 / Wikimedia Commons / <a href=\"http://creativecommons.org/licenses/by-sa/4.0/\">CC-BY-SA-4.0</a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Workshop for the \"Training in Network Management Systems and Analytical Tools for Seismic\"\n",
    "### Baku, October 2018\n",
    "\n",
    "Seismo-Live: http://seismo-live.org\n",
    "\n",
    "##### Authors:\n",
    "* Lion Krischer ([@krischer](https://github.com/krischer))\n",
    "* Tobias Megies ([@megies](https://github.com/megies))\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](images/obspy_logo_full_524x179px.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from __future__ import print_function\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')\n",
    "plt.rcParams['figure.figsize'] = 12, 8"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- for event metadata, the de-facto standard is [QuakeML (an xml document structure)](https://quake.ethz.ch/quakeml/)\n",
    "- QuakeML files can be read using **`read_events()`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5 Event(s) in Catalog:\n",
      "2014-08-24T12:47:12.550000Z | +38.238, -122.343 | 3.6 mw | manual\n",
      "2014-08-24T10:24:44.240000Z | +38.260, -122.337 | 3.51 ml | manual\n",
      "2014-08-24T10:21:45.440000Z | +38.235, -122.320 | 3.81 ml | manual\n",
      "2014-08-24T10:21:10.840000Z | +38.760, -122.726 | 4.38 md | manual\n",
      "2014-08-24T10:20:44.070000Z | +38.215, -122.312 | 6.02 mw | manual\n"
     ]
    }
   ],
   "source": [
    "import obspy\n",
    "\n",
    "catalog = obspy.read_events(\"./data/south_napa_with_some_aftershocks.xml\")\n",
    "print(catalog)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **`read_events()`** function returns a **`Catalog`** object, which is\n",
    "a collection of **`Event`** objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'obspy.core.event.catalog.Catalog'>\n",
      "<class 'obspy.core.event.event.Event'>\n"
     ]
    }
   ],
   "source": [
    "print(type(catalog))\n",
    "print(type(catalog[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Event:\t2014-08-24T12:47:12.550000Z | +38.238, -122.343 | 3.6 mw | manual\n",
      "\n",
      "\t            resource_id: ResourceIdentifier(id=\"quakeml:earthquake.usgs.gov/fdsnws/event/1/query?eventid=nc72283201&format=quakeml\")\n",
      "\t             event_type: 'earthquake'\n",
      "\t          creation_info: CreationInfo(agency_id='nc', creation_time=UTCDateTime(2017, 3, 17, 23, 18, 51, 71000), version='9')\n",
      "\t    preferred_origin_id: ResourceIdentifier(id=\"quakeml:earthquake.usgs.gov/archive/product/origin/nc72283201/nc/1486208787950/product.xml\")\n",
      "\t preferred_magnitude_id: ResourceIdentifier(id=\"quakeml:earthquake.usgs.gov/archive/product/origin/nc72283201/nc/1486208787950/product.xml#magnitude\")\n",
      "\t                   ---------\n",
      "\t     event_descriptions: 1 Elements\n",
      "\t                origins: 1 Elements\n",
      "\t             magnitudes: 1 Elements\n"
     ]
    }
   ],
   "source": [
    "event = catalog[0]\n",
    "print(event)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Event objects are again collections of other resources.\n",
    "- the nested ObsPy Event class structure (Catalog/Event/Origin/Magnitude/FocalMechanism/...) is closely modelled after QuakeML\n",
    "<img src=\"images/Event.svg\" width=90%>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'list'>\n",
      "<class 'obspy.core.event.origin.Origin'>\n",
      "Origin\n",
      "\t        resource_id: ResourceIdentifier(id=\"quakeml:earthquake.usgs.gov/archive/product/origin/nc72283201/nc/1486208787950/product.xml\")\n",
      "\t               time: UTCDateTime(2014, 8, 24, 12, 47, 12, 550000)\n",
      "\t          longitude: -122.3425\n",
      "\t           latitude: 38.2383333\n",
      "\t              depth: 8439.0 [uncertainty=190.0]\n",
      "\t            quality: OriginQuality(used_phase_count=302, used_station_count=279, standard_error=0.18, azimuthal_gap=21.0, minimum_distance=0.02432)\n",
      "\t origin_uncertainty: OriginUncertainty(horizontal_uncertainty=90.0, preferred_description='horizontal uncertainty')\n",
      "\t    evaluation_mode: 'manual'\n",
      "\t      creation_info: CreationInfo(agency_id='NC', creation_time=UTCDateTime(2017, 2, 4, 11, 46, 27, 950000), version='9')\n"
     ]
    }
   ],
   "source": [
    "print(type(event.origins))\n",
    "print(type(event.origins[0]))\n",
    "print(event.origins[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'list'>\n",
      "<class 'obspy.core.event.magnitude.Magnitude'>\n",
      "Magnitude\n",
      "\t     resource_id: ResourceIdentifier(id=\"quakeml:earthquake.usgs.gov/archive/product/origin/nc72283201/nc/1486208787950/product.xml#magnitude\")\n",
      "\t             mag: 3.6\n",
      "\t  magnitude_type: 'mw'\n",
      "\t       origin_id: ResourceIdentifier(id=\"quakeml:earthquake.usgs.gov/archive/product/origin/nc72283201/nc/1486208787950/product.xml\")\n",
      "\t   station_count: 3\n",
      "\t evaluation_mode: 'manual'\n",
      "\t   creation_info: CreationInfo(agency_id='NC', creation_time=UTCDateTime(2017, 2, 4, 11, 46, 27, 950000))\n"
     ]
    }
   ],
   "source": [
    "print(type(event.magnitudes))\n",
    "print(type(event.magnitudes[0]))\n",
    "print(event.magnitudes[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# try event.<Tab> to get an idea what \"children\" elements event has"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- The Catalog object contains some convenience methods to make\n",
    "working with events easier.\n",
    "- for example, the included events can be filtered with various keys."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 Event(s) in Catalog:\n",
      "2014-08-24T10:21:10.840000Z | +38.760, -122.726 | 4.38 md | manual\n",
      "2014-08-24T10:20:44.070000Z | +38.215, -122.312 | 6.02 mw | manual\n"
     ]
    }
   ],
   "source": [
    "largest_magnitude_events = catalog.filter(\"magnitude >= 4.0\")\n",
    "print(largest_magnitude_events)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- There is a basic preview plot using the matplotlib basemap module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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YGRkJBbOnpyfu3LkDY2NjTJ8+HQoKCli1apVwMeXrmZ88eYLo6GgYGxuDMYbi4mJ06tRJ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\nq1TeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11d062438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "catalog.plot(projection=\"local\", resolution=\"i\", label=\"magnitude\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- a (modified) Catalog can be output to file in a number of different formats."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-rw-r--r--  1 lion  wheel  5821 Sep 14 23:49 /tmp/large_events.xml\r\n"
     ]
    }
   ],
   "source": [
    "largest_magnitude_events.write(\"/tmp/large_events.xml\", format=\"QUAKEML\")\n",
    "!ls -l /tmp/large_events.xml"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- the event type classes can be used to build up Events/Catalogs/Picks/.. from scratch in custom processing work flows and to share them with other researchers in the de facto standard format QuakeML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 Event(s) in Catalog:\n",
      "2014-02-23T18:00:00.000000Z | +47.600,  +12.000 | 7.2 Mw | manual\n",
      "<?xml version='1.0' encoding='utf-8'?>\r\n",
      "<q:quakeml xmlns:q=\"http://quakeml.org/xmlns/quakeml/1.2\" xmlns=\"http://quakeml.org/xmlns/bed/1.2\">\r\n",
      "  <eventParameters publicID=\"smi:local/baf46365-7860-4575-b703-b0345336f463\">\r\n",
      "    <description>Just a fictitious toy example catalog built from scratch</description>\r\n",
      "    <event publicID=\"smi:local/a7ef8a35-4bf5-487b-9d2c-edc9016b5e52\">\r\n",
      "      <type>not existing</type>\r\n",
      "      <origin publicID=\"smi:local/b8b23385-f10c-4240-bfe0-26df9887f9b3\">\r\n",
      "        <time>\r\n",
      "          <value>2014-02-23T18:00:00.000000Z</value>\r\n",
      "        </time>\r\n",
      "        <latitude>\r\n",
      "          <value>47.6</value>\r\n",
      "        </latitude>\r\n",
      "        <longitude>\r\n",
      "          <value>12.0</value>\r\n",
      "        </longitude>\r\n",
      "        <depth>\r\n",
      "          <value>10000.0</value>\r\n",
      "        </depth>\r\n",
      "        <depthType>operator assigned</depthType>\r\n",
      "        <region>AUSTRIA</region>\r\n",
      "        <evaluationMode>manual</evaluationMode>\r\n",
      "        <evaluationStatus>preliminary</evaluationStatus>\r\n",
      "      </origin>\r\n",
      "      <magnitude publicID=\"smi:local/109876fc-4528-4c82-bd24-bdb49066f0f4\">\r\n",
      "        <mag>\r\n",
      "          <value>7.2</value>\r\n",
      "        </mag>\r\n",
      "        <type>Mw</type>\r\n",
      "        <originID>smi:local/b8b23385-f10c-4240-bfe0-26df9887f9b3</originID>\r\n",
      "      </magnitude>\r\n",
      "      <magnitude publicID=\"smi:local/eeecdbc5-6922-4088-8b59-557b6b743624\">\r\n",
      "        <mag>\r\n",
      "          <value>7.4</value>\r\n",
      "        </mag>\r\n",
      "        <type>Ms</type>\r\n",
      "        <originID>smi:local/b8b23385-f10c-4240-bfe0-26df9887f9b3</originID>\r\n",
      "      </magnitude>\r\n",
      "    </event>\r\n",
      "  </eventParameters>\r\n",
      "</q:quakeml>\r\n"
     ]
    }
   ],
   "source": [
    "from obspy import UTCDateTime\n",
    "from obspy.core.event import Catalog, Event, Origin, Magnitude\n",
    "from obspy.geodetics import FlinnEngdahl\n",
    "\n",
    "cat = Catalog()\n",
    "cat.description = \"Just a fictitious toy example catalog built from scratch\"\n",
    "\n",
    "e = Event()\n",
    "e.event_type = \"not existing\"\n",
    "\n",
    "o = Origin()\n",
    "o.time = UTCDateTime(2014, 2, 23, 18, 0, 0)\n",
    "o.latitude = 47.6\n",
    "o.longitude = 12.0\n",
    "o.depth = 10000\n",
    "o.depth_type = \"operator assigned\"\n",
    "o.evaluation_mode = \"manual\"\n",
    "o.evaluation_status = \"preliminary\"\n",
    "o.region = FlinnEngdahl().get_region(o.longitude, o.latitude)\n",
    "\n",
    "m = Magnitude()\n",
    "m.mag = 7.2\n",
    "m.magnitude_type = \"Mw\"\n",
    "\n",
    "m2 = Magnitude()\n",
    "m2.mag = 7.4\n",
    "m2.magnitude_type = \"Ms\"\n",
    "\n",
    "# also included could be: custom picks, amplitude measurements, station magnitudes,\n",
    "# focal mechanisms, moment tensors, ...\n",
    "\n",
    "# make associations, put everything together\n",
    "cat.append(e)\n",
    "e.origins = [o]\n",
    "e.magnitudes = [m, m2]\n",
    "m.origin_id = o.resource_id\n",
    "m2.origin_id = o.resource_id\n",
    "\n",
    "print(cat)\n",
    "cat.write(\"/tmp/my_custom_events.xml\", format=\"QUAKEML\")\n",
    "!cat /tmp/my_custom_events.xml"
   ]
  }
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