starcraft2-replay-analysis-CN.ipynb

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    "metadata": {
        "language_info": {
            "codemirror_mode": {
                "name": "ipython", 
                "version": 2
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            "version": "2.7.11", 
            "pygments_lexer": "ipython2", 
            "name": "python", 
            "file_extension": ".py", 
            "nbconvert_exporter": "python", 
            "mimetype": "text/x-python"
        }, 
        "kernelspec": {
            "language": "python", 
            "name": "python2", 
            "display_name": "Python 2 with Spark 1.6 (Unsupported)"
        }
    }, 
    "nbformat": 4, 
    "cells": [
        {
            "source": "# \u661f\u9645\u4e89\u9738 II \u56de\u653e\u5206\u6790\n\n\u6b64\u6559\u7a0b\u662f\u901a\u8fc7\u300a\u661f\u9645\u4e89\u9738II\u300b\u56de\u653e\u6587\u4ef6\u7684\u6570\u636e\u5206\u6790\u6765\u6307\u5bfc\u5f00\u53d1\u8fc7\u7a0b\u3002\n\n> \u6ce8\u610f: \u6559\u7a0b\u5047\u8bbe\u6b64notebook\u8fd0\u884c\u5728IBM Data Science Experience (DSX).\n\n## \u5b66\u4e60\u76ee\u6807\n\n\u6b64\u6559\u7a0b\u5305\u62ec\u5982\u4e0b\u76ee\u6807\uff1a\n\n1. \u5f00\u59cb\u4f7f\u7528IBM DSX Notebooks\n3. \u4f7f\u7528DSX \u5bf9\u8c61\u5b58\u50a8(Object Storage)\u4ee5\u8bbf\u95ee\u56de\u653e\u6587\u4ef6\n3. \u4f7f\u7528 sc2reader \u5305\u88c5\u8f7d\u56de\u653e\u5230 Python \u5bf9\u8c61\n4. \u7ed3\u679c\u4e2d\u68c0\u9a8c\u57fa\u7840\u56de\u653e\u4fe1\u606f\n5. \u89e3\u6790\u7ade\u8d5b\u7ec6\u8282\u4e3a\u4e00\u4e2a\u53ef\u7528\u5bf9\u8c61\n6. \u56fe\u89c6\u5316\u7ade\u8d5b\n7. \u628a\u56de\u653e\u4fdd\u5b58\u5230 Cloudant \u670d\u52a1", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "source": "## \u5148\u671f\u51c6\u5907\u8bbe\u7f6e\n### \u5b89\u88c5 _sc2reader_, _cloudant_ \u548c _bokeh_ Python \u7a0b\u5e8f\u5305\n\n* **_sc2reader_** \u662f\u4e00\u4e2a\u5f00\u6e90\u5e93\uff0c\u7528\u4e8e\u5904\u7406\u661f\u9645\u4e89\u9738II\u56de\u653e\u6587\u4ef6\n* **_cloudant_** \u662f Cloudant NoSQL DB \u7684 Python \u5ba2\u6237\u7aef\n* **_bokeh_** \u662f\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316 Python \u5e93  <strong>** \u5b89\u88c5\u7248\u672c\u5fc5\u987b\u662f0.12.1</strong>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 1, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "#!pip install --version bokeh==0.12.1", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "execution_count": 2, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "#!pip install bkcharts\n#!pip install --upgrade bkcharts", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "execution_count": 1, 
            "metadata": {
                "collapsed": true, 
                "scrolled": false
            }, 
            "source": "#!pip install sc2reader cloudant", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "source": "<strong><p  style=\"color:blue\">\u4e0b\u8f7d<a  style=\"color:red\" href=\"https://github.com/dongpo2/datascience/raw/master/King%20Sejong%20Station%20LE%20(5).SC2Replay\">\u56de\u653e\u6587\u4ef6</a>\uff0c\u5e76\u9009\u62e9\u53f3\u4e0a\u7684\u56fe\u6807\"Data\"(1001)\uff0c\u5728\u53f3\u4fa7\u51fa\u73b0\u7684Files\u754c\u9762\u6839\u636e\u63d0\u793a\u628a\u4e0b\u8f7d\u5230\u672c\u5730\u7684\u6587\u4ef6\u6dfb\u52a0\u5230DSX\uff0c\u6210\u4e3a\u6570\u636e\u96c6\u3002</p>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "source": "<strong><p  style=\"color:blue\">\u9f20\u6807\u9009\u62e9\u5e76\u6e05\u7a7a\u4e0b\u9762cell\uff0c\u5e76\u5728\u53f3\u4fa7\"Files\"\u9875\u9762\uff0c\u9009\u62e9\u6587\u4ef6\"King Sejong Station LE (5).SC\"\u4e0b\"Insert to code\"->\"Insert StringIO object\"\u3002DSX\u4f1a\u5e2e\u52a9\u81ea\u52a8\u63d2\u5165\u4ee3\u7801\u3002</p></strong>\n<p  style=\"color:red\">\u4e3a\u4e86\u628a\u6587\u4ef6\u4ece\u6587\u672c\u65b9\u5f0f\u4fee\u6539\u4e3a\u4e8c\u8fdb\u5236\u6a21\u5f0f\uff0c\u4fee\u6539\u4ee3\u7801\u5982\u4e0b\uff1a</p>\n<ul>\n<li style=\"color:red\">from <strong>io</strong> import StringIO -> from <strong>StringIO</strong> import StringIO</li></strong>\n<li style=\"color:red\">return StringIO(resp2.<strong>text</strong>) -> return StringIO(resp2.<strong>content</strong>)</li>\n</ul>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 2, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "# The code was removed by DSX for sharing.", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "source": "## \u88c5\u8f7d\u56de\u653e\u6587\u4ef6\n\n<p  style=\"color:blue\">\u4f7f\u7528 sc2reader \u52a0\u8f7d\u56de\u653e\u6587\u4ef6. </p>\n<p  style=\"color:blue\">\u4f7f\u7528\u4e0a\u4e2a\u6b65\u9aa4\u63d2\u5165\u7684\u4ee3\u7801\u5f97\u5230\u7684<font style=\"color:red\">data_3(\u6839\u636e\u4e0d\u540c\u60c5\u51b5\u540d\u79f0\u4f1a\u6709\u4e0d\u540c\uff0c\u9700\u8981\u6839\u636e\u6b64\u540d\u79f0\u4fee\u6539\u4e0b\u9762)</font>\u6587\u4ef6</p>\n<p  style=\"color:blue\">\u5bf9\u8c61\"replay\"\u5c31\u662f\u4e00\u4e2a\u52a0\u8f7d\u540e\u7684\u6570\u636e\u5bf9\u8c61</p>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 3, 
            "metadata": {}, 
            "source": "import sc2reader\nfrom sc2reader.engine.plugins import APMTracker, ContextLoader, SelectionTracker\nfrom sc2reader.events import PlayerStatsEvent, UnitBornEvent, UnitDiedEvent, UnitDoneEvent, UnitTypeChangeEvent, UpgradeCompleteEvent\n\n# \u53ef\u80fd\u9700\u8981\u4fee\u6539\u6587\u4ef6\u540d\ntry:\n    replay_file = data_3\nexcept NameError:\n    print('\\n'\n          'SETUP ERROR: Please follow the directions to add a .SC2Replay file and use\\n'\n          '             \"Insert to code\" to set the data_1 variable to the resulting bytes.\\n'\n          '             You may need to rename the data_* variable.')\n    raise\n\nreplay = sc2reader.load_replay(\n    replay_file,\n    engine=sc2reader.engine.GameEngine(plugins=[ContextLoader(), APMTracker(), SelectionTracker()]))\n\nprint(\"Replay successfully loaded.\")", 
            "outputs": [
                {
                    "name": "stdout", 
                    "output_type": "stream", 
                    "text": "Replay successfully loaded.\n"
                }
            ], 
            "cell_type": "code"
        }, 
        {
            "source": "## \u67e5\u770b\u57fa\u7840\u56de\u653e\u4fe1\u606f\n\n<p  style=\"color:blue\">\u52a0\u8f7d\u56de\u653e\u540e\uff0c\u53ef\u4ee5\u5728notebook\u91cc\u68c0\u67e5\u5bf9\u8c61\uff0c\u53ef\u4ee5\u5f88\u5bb9\u6613\u83b7\u53d6\u5982\u65e5\u671f\u3001\u6e38\u620f\u5730\u56fe\u540d\u79f0\u3001\u53c2\u4e0e\u8005\u3001\u80dc\u8005/\u8d25\u8005\u7b49</p>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 4, 
            "metadata": {}, 
            "source": "print(u\"\u65e5\u671f: %s\" % replay.date)\nprint(u\"\u5730\u56fe\u540d: \" + replay.map_name)\nfor player in replay.players:\n    print(\"%s: %s\" % (player.result, player))", 
            "outputs": [
                {
                    "name": "stdout", 
                    "output_type": "stream", 
                    "text": "\u65e5\u671f: 2016-07-29 14:20:32\n\u5730\u56fe\u540d: King Sejong Station LE\nWin: Player 1 - Neeb (Protoss)\nLoss: Player 2 - ShoWTimE (Protoss)\n"
                }
            ], 
            "cell_type": "code"
        }, 
        {
            "execution_count": 5, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "# Establish some unit and building groups\n\nVESPENE_UNITS = [\"Assimilator\", \"Extractor\", \"Refinery\"]\n\nSUPPLY_UNITS = [\"Overlord\", \"Overseer\", \"Pylon\", \"SupplyDepot\"]\n\nWORKER_UNITS = [\"Drone\", \"Probe\", \"SCV\", \"MULE\"]\n\nBASE_UNITS = [\"CommandCenter\", \"Nexus\", \"Hatchery\", \"Lair\", \"Hive\", \"PlanetaryFortress\", \"OrbitalCommand\"]\n\nGROUND_UNITS = [\"Barracks\", \"Factory\", \"GhostAcademy\", \"Armory\", \"RoboticsBay\", \"RoboticsFacility\", \"TemplarArchive\",\n                \"DarkShrine\", \"WarpGate\", \"SpawningPool\", \"RoachWarren\", \"HydraliskDen\", \"BanelingNest\", \"UltraliskCavern\",\n                \"LurkerDen\", \"InfestationPit\"]\n\nAIR_UNITS = [\"Starport\", \"FusionCore\", \"RoboticsFacility\", \"Stargate\", \"FleetBeacon\", \"Spire\", \"GreaterSpire\"]\n\nTECH_UNITS = [\"EngineeringBay\", \"Armory\", \"GhostAcademy\", \"TechLab\", \"FusionCore\", \"Forge\", \"CyberneticsCore\",\n              \"TwilightCouncil\", \"RoboticsFacility\", \"RoboticsBay\", \"FleetBeacon\", \"TemplarArchive\", \"DarkShrine\",\n              \"SpawningPool\", \"RoachWarren\", \"HydraliskDen\", \"BanelingNest\", \"UltraliskCavern\", \"LurkerDen\", \"Spire\",\n              \"GreaterSpire\", \"EvolutionChamber\", \"InfestationPit\"]\n\nARMY_UNITS = [\"Marine\", \"Colossus\", \"InfestorTerran\", \"Baneling\", \"Mothership\", \"MothershipCore\", \"Changeling\", \"SiegeTank\", \"Viking\", \"Reaper\",\n              \"Ghost\", \"Marauder\", \"Thor\", \"Hellion\", \"Hellbat\", \"Cyclone\", \"Liberator\", \"Medivac\", \"Banshee\", \"Raven\", \"Battlecruiser\", \"Nuke\", \"Zealot\",\n              \"Stalker\", \"HighTemplar\", \"Disruptor\", \"DarkTemplar\", \"Sentry\", \"Phoenix\", \"Carrier\", \"Oracle\", \"VoidRay\", \"Tempest\", \"WarpPrism\", \"Observer\",\n              \"Immortal\", \"Adept\", \"Zergling\", \"Overlord\", \"Hydralisk\", \"Mutalisk\", \"Ultralisk\", \"Roach\", \"Infestor\", \"Corruptor\",\n              \"BroodLord\", \"Queen\", \"Overseer\", \"Archon\", \"Broodling\", \"InfestedTerran\", \"Ravager\", \"Viper\", \"SwarmHost\"]\n\nARMY_AIR = [\"Mothership\", \"MothershipCore\", \"Viking\", \"Liberator\", \"Medivac\", \"Banshee\", \"Raven\", \"Battlecruiser\",\n            \"Viper\", \"Mutalisk\", \"Phoenix\", \"Oracle\", \"Carrier\", \"VoidRay\", \"Tempest\", \"Observer\", \"WarpPrism\", \"BroodLord\",\n            \"Corruptor\", \"Observer\", \"Overseer\"]\n\nARMY_GROUND = [k for k in ARMY_UNITS if k not in ARMY_AIR]", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "source": "## \u89e3\u6790\u56de\u653e\u6587\u4ef6\u4e3a\u6570\u636e\u5bf9\u8c61\n\n<p  style=\"color:blue\">\u5b9a\u4e49\u4e00\u4e9b\u4e8b\u4ef6\u89e3\u6790\u51fd\u6570\uff0c\u5206\u522b\u89e3\u6790\u5982\u5de5\u4eba\u3001\u8865\u7ed9\u7b49\u6570\u636e</p>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 6, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "# Establish our event parsers\n\ndef handle_count(caller, event, key, add_value, start_val=0):\n    if len(caller.players[event.unit.owner.pid][key]) == 0:\n        caller.players[event.unit.owner.pid][key].append((0, 0))\n    # Get the last value\n    last_val = caller.players[event.unit.owner.pid][key][-1][1]\n    caller.players[event.unit.owner.pid][key].append((event.frame, last_val + add_value))\n\n\ndef handle_expansion_events(caller, event):\n    if type(event) is UnitDoneEvent:\n        unit = str(event.unit).split()[0]\n        if unit in BASE_UNITS:\n            caller.players[event.unit.owner.pid][\"expansion_event\"].append((event.frame, \"+\", unit))\n            handle_count(caller, event, \"expansion_buildings\", 1, start_val=1)\n    elif type(event) is UnitDiedEvent:\n        unit = str(event.unit).split()[0]\n        if unit in BASE_UNITS:\n            caller.players[event.unit.owner.pid][\"expansion_event\"].append((event.frame, \"-\", unit))\n            handle_count(caller, event, \"expansion_buildings\", -1, start_val=1)\n    elif type(event) is UnitTypeChangeEvent:\n        if event.unit.name in BASE_UNITS:\n            caller.players[event.unit.owner.pid][\"expansion_event\"].append((event.frame, \"*\", event.unit.name))\n\n\ndef handle_worker_events(caller, event):\n    if type(event) is PlayerStatsEvent:\n        caller.players[event.pid][\"workers_active\"].append((event.frame, event.workers_active_count))\n    elif type(event) is UnitBornEvent:\n        unit = str(event.unit).split()[0]\n        if unit in WORKER_UNITS:\n            caller.players[event.control_pid][\"worker_event\"].append((event.frame, \"+\", unit))\n    elif type(event) is UnitDiedEvent:\n        unit = str(event.unit).split()[0]\n        if unit in WORKER_UNITS:\n            caller.players[event.unit.owner.pid][\"worker_event\"].append((event.frame, \"-\", unit))\n\n\ndef handle_supply_events(caller, event):\n    if type(event) is PlayerStatsEvent:\n        caller.players[event.pid][\"supply_available\"].append((event.frame, int(event.food_made)))\n        caller.players[event.pid][\"supply_consumed\"].append((event.frame, int(event.food_used)))\n        utilization = 0 if event.food_made == 0 else event.food_used / event.food_made\n        caller.players[event.pid][\"supply_utilization\"].append((event.frame, utilization))\n        worker_ratio = 0 if event.food_used == 0 else event.workers_active_count / event.food_used\n        caller.players[event.pid][\"worker_supply_ratio\"].append((event.frame, worker_ratio))\n    elif type(event) is UnitDoneEvent:\n        unit = str(event.unit).split()[0]\n        if unit in SUPPLY_UNITS:\n            caller.players[event.unit.owner.pid][\"supply_event\"].append((event.frame, \"+\", unit))\n    elif type(event) is UnitBornEvent:\n        # Specifically for Overlord\n        unit = str(event.unit).split()[0]\n        if unit == \"Overlord\":\n            caller.players[event.control_pid][\"supply_event\"].append((event.frame, \"+\", unit))\n    elif type(event) is UnitDiedEvent:\n        # Buildings/ Overlord/Overseer\n        unit = str(event.unit).split()[0]\n        if unit in SUPPLY_UNITS:\n            caller.players[event.unit.owner.pid][\"supply_event\"].append((event.frame, \"-\", unit))\n    elif type(event) is UnitTypeChangeEvent:\n        if event.unit_type_name == \"Overseer\":\n            caller.players[event.unit.owner.pid][\"supply_event\"].append((event.frame, \"*\", event.unit_type_name))\n\n\ndef handle_vespene_events(caller, event):\n    if type(event) is PlayerStatsEvent:\n        caller.players[event.pid][\"vespene_available\"].append((event.frame, event.vespene_current))\n        caller.players[event.pid][\"vespene_collection_rate\"].append((event.frame, event.vespene_collection_rate))\n        vesp_per_worker = 0 if event.workers_active_count == 0 else event.vespene_collection_rate / event.workers_active_count\n        caller.players[event.pid][\"vespene_per_worker_rate\"].append((event.frame, vesp_per_worker))\n        caller.players[event.pid][\"vespene_cost_active_forces\"].append((event.frame, event.vespene_used_active_forces))\n        caller.players[event.pid][\"vespene_spend\"].append((event.frame, event.vespene_used_current))\n        caller.players[event.pid][\"vespene_value_current_technology\"].append((event.frame, event.vespene_used_current_technology))\n        caller.players[event.pid][\"vespene_value_current_army\"].append((event.frame, event.vespene_used_current_army))\n        caller.players[event.pid][\"vespene_value_current_economic\"].append((event.frame, event.vespene_used_current_economy))\n        caller.players[event.pid][\"vespene_queued\"].append((event.frame, event.vespene_used_in_progress))\n        caller.players[event.pid][\"vespene_queued_technology\"].append((event.frame, event.vespene_used_in_progress_technology))\n        caller.players[event.pid][\"vespene_queued_army\"].append((event.frame, event.vespene_used_in_progress_technology))\n        caller.players[event.pid][\"vespene_queued_economic\"].append((event.frame, event.vespene_used_in_progress_economy))\n    elif type(event) is UnitDoneEvent:\n        unit = str(event.unit).split()[0]\n        if unit in VESPENE_UNITS:\n            caller.players[event.unit.owner.pid][\"vespene_event\"].append((event.frame, \"+\", unit))\n    elif type(event) is UnitDiedEvent:\n        unit = str(event.unit).split()[0]\n        if unit in VESPENE_UNITS:\n            caller.players[event.unit.owner.pid][\"vespene_event\"].append((event.frame, \"-\", unit))\n\n\ndef handle_resources_events(caller, event):\n    if type(event) is PlayerStatsEvent:\n        caller.players[event.pid][\"mineral_destruction\"].append((event.frame, event.minerals_killed))\n        caller.players[event.pid][\"mineral_destruction_army\"].append((event.frame, event.minerals_killed_army))\n        caller.players[event.pid][\"mineral_destruction_economic\"].append((event.frame, event.minerals_killed_economy))\n        caller.players[event.pid][\"mineral_destruction_technology\"].append((event.frame, event.minerals_killed_technology))\n        caller.players[event.pid][\"mineral_loss\"].append((event.frame, event.minerals_lost))\n        caller.players[event.pid][\"mineral_loss_army\"].append((event.frame, event.minerals_lost_army))\n        caller.players[event.pid][\"mineral_loss_economic\"].append((event.frame, event.minerals_lost_economy))\n        caller.players[event.pid][\"mineral_loss_technology\"].append((event.frame, event.minerals_lost_technology))\n\n        caller.players[event.pid][\"vespene_destruction\"].append((event.frame, event.vespene_killed))\n        caller.players[event.pid][\"vespene_destruction_army\"].append((event.frame, event.vespene_killed_army))\n        caller.players[event.pid][\"vespene_destruction_economic\"].append((event.frame, event.vespene_killed_economy))\n        caller.players[event.pid][\"vespene_destruction_technology\"].append((event.frame, event.vespene_killed_technology))\n        caller.players[event.pid][\"vespene_loss\"].append((event.frame, event.vespene_lost))\n        caller.players[event.pid][\"vespene_loss_army\"].append((event.frame, event.vespene_lost_army))\n        caller.players[event.pid][\"vespene_loss_economic\"].append((event.frame, event.vespene_lost_economy))\n        caller.players[event.pid][\"vespene_loss_technology\"].append((event.frame, event.vespene_lost_technology))\n\n\ndef handle_ground_events(caller, event):\n    if type(event) is UnitDoneEvent:\n        unit = str(event.unit).split()[0]\n        if unit in GROUND_UNITS:\n            count_name = \"_\".join([\"building\", unit, \"count\"])\n            caller.players[event.unit.owner.pid][\"ground_building\"].append((event.frame, \"+\", unit))\n            handle_count(caller, event, count_name, 1)\n    elif type(event) is UnitDiedEvent:\n        unit = str(event.unit).split()[0]\n        if unit in GROUND_UNITS:\n            count_name = \"_\".join([\"building\", unit, \"count\"])\n            caller.players[event.unit.owner.pid][\"ground_building\"].append((event.frame, \"-\", unit))\n            handle_count(caller, event, count_name, -1)\n    elif type(event) is UnitTypeChangeEvent:\n        if event.unit_type_name == \"LurkerDen\":\n            count_name = \"_\".join([\"building\", event.unit_type_name, \"count\"])\n            caller.players[event.unit.owner.pid][\"ground_building\"].append((event.frame, \"*\", event.unit_type_name))\n            handle_count(caller, event, count_name, 1)\n\n\ndef handle_air_events(caller, event):\n    if type(event) is UnitDoneEvent:\n        unit = str(event.unit).split()[0]\n        if unit in AIR_UNITS:\n            count_name = \"_\".join([\"building\", unit, \"count\"])\n            caller.players[event.unit.owner.pid][\"air_building\"].append((event.frame, \"+\", unit))\n            handle_count(caller, event, count_name, 1)\n    elif type(event) is UnitDiedEvent:\n        unit = str(event.unit).split()[0]\n        if unit in AIR_UNITS:\n            count_name = \"_\".join([\"building\", unit, \"count\"])\n            caller.players[event.unit.owner.pid][\"air_building\"].append((event.frame, \"-\", unit))\n            handle_count(caller, event, count_name, -1)\n    elif type(event) is UnitTypeChangeEvent:\n        if event.unit_type_name == \"GreaterSpire\":\n            count_name = \"_\".join([\"building\", event.unit_type_name, \"count\"])\n            caller.players[event.unit.owner.pid][\"air_building\"].append((event.frame, \"*\", event.unit_type_name))\n            handle_count(caller, event, count_name, 1)\n\n\ndef handle_unit_events(caller, event):\n    if type(event) is UnitBornEvent:\n        unit = event.unit_type_name\n        if unit in ARMY_UNITS:\n            unit_count_name = \"_\".join([\"unit\", unit, \"count\"])\n            caller.players[event.control_pid][\"army_event\"].append((event.frame, \"+\", unit))\n            handle_count(caller, event, unit_count_name, 1)\n            if unit in ARMY_AIR:\n                handle_count(caller, event, \"army_air\", 1)\n            elif unit in ARMY_GROUND:\n                handle_count(caller, event, \"army_ground\", 1)\n            handle_count(caller, event, \"army_count\", 1)\n    elif type(event) is UnitDoneEvent:\n        unit = str(event.unit).split()[0]\n        if unit in ARMY_UNITS:\n            unit_count_name = \"_\".join([\"unit\", unit, \"count\"])\n            caller.players[event.unit.owner.pid][\"army_event\"].append((event.frame, \"+\", unit))\n            handle_count(caller, event, unit_count_name, 1)\n            if unit in ARMY_AIR:\n                handle_count(caller, event, \"army_air\", 1)\n            elif unit in ARMY_GROUND:\n                handle_count(caller, event, \"army_air\", 1)\n            handle_count(caller, event, \"army_count\", 1)\n    elif type(event) is UnitDiedEvent:\n        unit = str(event.unit).split()[0]\n        if unit in ARMY_UNITS:\n            unit_count_name = \"_\".join([\"unit\", unit, \"count\"])\n            caller.players[event.unit.owner.pid][\"army_event\"].append((event.frame, \"-\", unit))\n            if unit in ARMY_AIR:\n                handle_count(caller, event, \"army_air\", -1)\n            elif unit in ARMY_GROUND:\n                handle_count(caller, event, \"army_ground\", -1)\n            handle_count(caller, event, unit_count_name, -1)\n            handle_count(caller, event, \"army_count\", -1)\n    elif type(event) is UnitTypeChangeEvent:\n        unit = str(event.unit).split()[0]\n        if event.unit_type_name in ARMY_UNITS:\n            unit_count_name = \"_\".join([\"unit\", event.unit_type_name, \"count\"])\n\n            caller.players[event.unit.owner.pid][\"army_event\"].append((event.frame, \"*\", unit))\n\n            handle_count(caller, event, unit_count_name, 1)\n\n\ndef handle_tech_events(caller, event):\n    if type(event) is UnitDoneEvent:\n        unit = str(event.unit).split()[0]\n        if unit in TECH_UNITS:\n            caller.players[event.unit.owner.pid][\"tech_building\"].append((event.frame, \"+\", unit))\n    elif type(event) is UnitDiedEvent:\n        unit = str(event.unit).split()[0]\n        if unit in TECH_UNITS:\n            caller.players[event.unit.owner.pid][\"tech_building\"].append((event.frame, \"-\", unit))\n    elif type(event) is UnitTypeChangeEvent:\n        if event.unit_type_name in [\"GreaterSpire\", \"LurkerDen\"]:\n            caller.players[event.unit.owner.pid][\"tech_building\"].append((event.frame, \"*\", event.unit_type_name))\n\n\ndef handle_upgrade_events(caller, event):\n    if type(event) is UpgradeCompleteEvent and event.frame > 0:\n        if not event.upgrade_type_name.startswith(\"Spray\"):\n            caller.players[event.pid][\"upgrades\"].append((event.frame, event.upgrade_type_name))\n\n\ndef handle_mineral_events(caller, event):\n    if type(event) is PlayerStatsEvent:\n        caller.players[event.pid][\"minerals_available\"].append((event.frame, event.minerals_current))\n        caller.players[event.pid][\"mineral_collection_rate\"].append((event.frame, event.minerals_collection_rate,))\n        caller.players[event.pid][\"mineral_cost_active_forces\"].append((event.frame, event.minerals_used_active_forces))\n        mins_per_worker = 0 if event.workers_active_count == 0 else event.minerals_collection_rate / event.workers_active_count\n        caller.players[event.pid][\"mineral_per_worker_rate\"].append((event.frame, mins_per_worker))\n        caller.players[event.pid][\"mineral_spend\"].append((event.frame, event.minerals_used_current))\n        caller.players[event.pid][\"mineral_value_current_technology\"].append((event.frame, event.minerals_used_current_technology))\n        caller.players[event.pid][\"mineral_value_current_army\"].append((event.frame, event.minerals_used_current_army))\n        caller.players[event.pid][\"mineral_value_current_economic\"].append((event.frame, event.minerals_used_current_economy))\n        caller.players[event.pid][\"mineral_queued\"].append((event.frame, event.minerals_used_in_progress))\n        caller.players[event.pid][\"mineral_queued_technology\"].append((event.frame, event.minerals_used_in_progress_technology))\n        caller.players[event.pid][\"mineral_queued_army\"].append((event.frame, event.minerals_used_in_progress_army))\n        caller.players[event.pid][\"mineral_queued_economic\"].append((event.frame, event.minerals_used_in_progress_economy))", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "execution_count": 7, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "# Aggregate all of our event parsers for use by our ReplayData class\n\nhandlers = [handle_expansion_events, handle_worker_events, handle_supply_events, handle_mineral_events,\n            handle_vespene_events, handle_ground_events, handle_air_events, handle_tech_events, handle_upgrade_events,\n            handle_unit_events]", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "source": "<p  style=\"color:blue\">\u5b9a\u4e49\u56de\u653e\u6570\u636e\u5bf9\u8c61</p>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 8, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "# Below we define our class ReplayData for helping us structure and process our replay files\n\nclass ReplayData:\n    __parsers__ = handlers\n\n    @classmethod\n    def parse_replay(cls, replay=None, replay_file=None, file_object=None):\n        \n        replay_data = ReplayData(replay_file)\n        try:\n            # This is the engine that holds some required plugins for parsing\n            engine = sc2reader.engine.GameEngine(plugins=[ContextLoader(), APMTracker(), SelectionTracker()])\n               \n            if replay:\n                pass\n            elif replay_file and not file_object:\n                # Then we are not using ObjectStorage for accessing replay files\n                replay = sc2reader.load_replay(replay_file, engine=engine)\n            elif file_object:\n                # We are using ObjectStorage to access replay files\n                replay = sc2reader.load_replay(file_object, engine=engine)\n            else:\n                pass  # TODO: fix this logic\n            \n            # Get the number of frames (one frame is 1/16 of a second)\n            replay_data.frames = replay.frames\n            # Gets the game mode (if available)\n            replay_data.game_mode = replay.real_type\n            # Gets the map hash (if we want to download the map, or do map-based analysis)\n            replay_data.map_hash = replay.map_hash\n            \n            # Use the parsers to get data\n            for event in replay.events:\n                for parser in cls.__parsers__:\n                    parser(replay_data, event)\n            \n            # Check if there was a winner\n            if replay.winner is not None:\n                replay_data.winners = replay.winner.players\n                replay_data.losers = [p for p in replay.players if p not in replay.winner.players]\n            else:\n                replay_data.winners = []\n                replay_data.losers = []\n            # Check to see if expansion data is available\n            replay_data.expansion = replay.expasion\n            return replay_data\n        except:\n            # print our error and return NoneType object\n            print_exc()\n            return None\n        \n    def as_dict(self):\n        return {\n            \"processed_on\": datetime.utcnow().isoformat(),\n            \"replay_name\": self.replay,\n            \"expansion\": self.expansion,\n            \"frames\": self.frames,\n            \"mode\": self.game_mode,\n            \"map\": self.map_hash,\n            \"matchup\": \"v\".join(sorted([s.detail_data[\"race\"][0].upper() for s in self.winners + self.losers])),\n            \"winners\": [(s.pid, s.name, s.detail_data['race']) for s in self.winners],\n            \"losers\": [(s.pid, s.name, s.detail_data['race']) for s in self.losers],\n            \"stats_names\": [k for k in self.players[1].keys()],\n            \"stats\": {player: data for player, data in self.players.items()}\n                }\n\n    def __init__(self, replay):\n        self.players = defaultdict(lambda: defaultdict(list))\n        self.replay = replay\n        self.winners = []\n        self.losers = []\n        self.expansion = None", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "source": "## \u56fe\u793a\u548c\u6bd4\u8f83\u56de\u653e\u6587\u4ef6\n\n<p  style=\"color:blue\">\u6211\u4eec\u4f7f\u7528pandas\u548c\u4e00\u4e9bhelper\u65b9\u6cd5\u5904\u7406\u56de\u653e\u6587\u4ef6\u4ee5\u53ca\u589e\u52a0\u4e8b\u4ef6\u7edf\u8ba1\u3002Bokeh\u5219\u7528\u6765\u521b\u5efa\u7eb3\u5c14\u900a(Nelson)\u89c4\u5219\u56fe\u548c\u7bb1\u7ebf\u56fe\u3002</p>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 9, 
            "metadata": {}, 
            "source": "from datetime import datetime\nfrom collections import defaultdict\nfrom traceback import print_exc\n\nfrom bokeh.charts import BoxPlot, Bar, Histogram\nfrom bokeh.io import output_notebook, reset_output\nfrom bokeh.models import Span, Range1d, Legend, BoxAnnotation, HoverTool, Arrow, NormalHead\nfrom bokeh.plotting import figure, show, gridplot, ColumnDataSource\n\noutput_notebook()", 
            "outputs": [
                {
                    "metadata": {}, 
                    "data": {
                        "text/html": "\n    <div class=\"bk-root\">\n        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n        <span id=\"11ff90ad-b678-4ddb-a260-bb67e0c2152d\">Loading BokehJS ...</span>\n    </div>"
                    }, 
                    "output_type": "display_data"
                }, 
                {
                    "metadata": {}, 
                    "data": {
                        "application/javascript": "\n(function(global) {\n  function now() {\n    return new Date();\n  }\n\n  var force = \"1\";\n\n  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force !== \"\") {\n    window._bokeh_onload_callbacks = [];\n    window._bokeh_is_loading = undefined;\n  }\n\n  function run_callbacks() {\n    window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n    delete window._bokeh_onload_callbacks\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    window._bokeh_onload_callbacks.push(callback);\n    if (window._bokeh_is_loading > 0) {\n      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    window._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        window._bokeh_is_loading--;\n        if (window._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };\n\n  var js_urls = ['https://cdn.pydata.org/bokeh/release/bokeh-0.12.1.min.js', 'https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.1.min.js', 'https://cdn.pydata.org/bokeh/release/bokeh-compiler-0.12.1.min.js'];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n      Bokeh.$(\"#11ff90ad-b678-4ddb-a260-bb67e0c2152d\").text(\"BokehJS successfully loaded\");\n      var kernel = Jupyter.notebook.kernel\n      if (kernel.execute !== undefined) {\n          kernel.execute(\"import bokeh.io; bokeh.io._nb_loaded = True\");\n      }\n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.1.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.1.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.1.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.1.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i](window.Bokeh);\n    }\n  }\n\n  if (window._bokeh_is_loading === 0) {\n    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(this));"
                    }, 
                    "output_type": "display_data"
                }
            ], 
            "cell_type": "code"
        }, 
        {
            "source": "<p  style=\"color:blue\">\u5b9a\u4e49\u7eb3\u5c14\u900a(Nelson)\u89c4\u5219\uff0c\u4e3b\u8981\u662f\u504f\u79bb\u89c4\u5219\u548c\u8d8b\u52bf\u4e24\u79cd</p>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 10, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "def merge(i, last_entry, sign=None, length=3):\n    if last_entry is not None:\n        if sign is not None:\n            # Check to see if this is a continuation\n            if last_entry[1] == i + length - 1 and last_entry[2] == sign:\n                return [(last_entry[0], i + length, sign)]\n            else:\n                return [last_entry, (i, i + length, sign)]\n        else:\n            # Check to see if this is a continuation\n            if last_entry[1] == i + length - 1:\n                return [(last_entry[0], i + length)]\n            else:\n                return [last_entry, (i, i + length)]\n    else:\n        if sign is not None:\n            return [(i, i + length, sign)]\n        else:\n            return [(i, i + length)]\n                \n\n                \ndef detect_nelson_bias(src_data, x_bar):\n    # Bias is defined as 9 or more consecutive points sitting above or below our x-bar line\n    bias_ranges = []\n    length = 9\n    for i in range(len(src_data) - length):\n        last_entry = bias_ranges.pop() if len(bias_ranges) > 0 else None\n        if all([src_data[k] > x_bar for k in range(i, i + length)]):\n            sign = \"+\"\n            bias = merge(i, last_entry, sign=sign, length=length)\n            bias_ranges.extend(bias)\n        elif all([src_data[k] < x_bar for k in range(i, i+length)]):\n            sign = \"-\"\n            bias = merge(i, last_entry, sign=sign, length=length)\n            bias_ranges.extend(bias)\n        else:\n            if last_entry:\n                bias_ranges.append(last_entry)\n                \n    return bias_ranges\n\ndef detect_nelson_trend(src_data, std):\n    # Trend is defined as 6 or more consecutive points all increasing or decreasing (or 6 or more consecutive non(increasing, decreasing) where difference between start and end points greater than 1.5 standard deviations )\n    trend_ranges = []\n    length = 6\n    for i in range(len(src_data) - length):\n        last_entry = trend_ranges.pop() if len(trend_ranges) > 0 else None\n        if (all(x<y for x, y in zip(src_data[i:i+length], src_data[i+1:i+length]))\n            or (all(x<=y for x,y in zip(src_data[i:i+length], src_data[i+1:i+length])) \n                and abs(src_data[i] - src_data[i+length]) >= 1.5*std)):\n            sign = \"+\"\n            trend_ranges.extend(merge(i, last_entry, sign=sign, length=length))\n        elif (all(x>y for x, y in zip(src_data[i:i+length], src_data[i+1:i+length])) \n            or (all(x>=y for x,y in zip(src_data[i:i+length], src_data[i+1:i+length]))\n                and abs(src_data[i] - src_data[i+length]) >= 1.5*std)):\n            sign = \"-\"\n            trend_ranges.extend(merge(i, last_entry, sign=sign, length=length))\n        else:\n            if last_entry:\n                trend_ranges.append(last_entry)\n    \n    return trend_ranges\n            \ndef detect_nelson_oscillation(src_data):\n    # Oscillation is defined as 14 or more consecutive points, all alternating in direction\n    diff = lambda x, y: 1 if y - x > 0 else -1 if y - x  < 0 else None\n    oscillation_ranges = []\n    length=14\n    deltas = []\n    for i in range(len(src_data) - length):\n        last_entry = oscillation_ranges.pop() if len(oscillation_ranges) > 0 else None\n        sign = None\n        is_oscillating = True\n        for curr in range(i, i + length - 1):\n            if sign == None and curr == i:\n                sign = diff(src_data[curr], src_data[curr + 1])\n            elif sign is None and curr != i:\n                is_oscillating = False\n                break\n            else:\n                new_sign = diff(src_data[curr], src_data[curr + 1])\n                if new_sign is None or new_sign == sign:\n                    is_oscillating = False\n                    break\n                elif new_sign != sign and new_sign is not None:\n                    sign = new_sign\n        if is_oscillating:\n            # check if this is a continuation of a previous oscillation\n            oscillation_ranges.extend(merge(i, last_entry, length=length))\n            \n        else:\n            if last_entry:\n                oscillation_ranges.append(last_entry)\n    \n    return oscillation_ranges\n\n\ndef avg_last_minute(process, pid, time, replay):\n    data = pd.DataFrame({\n            \"Data\": [k[1] for k in replay.stats[pid-1][process]]},\n            index=[int(k[0]/16) for k in replay.stats[pid - 1][process]])\n    \n    rolling = data.rolling(6).mean()\n    pct_change = data.pct_change()\n    ndx = data.index.get_loc(time, method=\"ffill\")\n\n    prev_ndx = max(ndx - 1, 0)\n    print(ndx, prev_ndx)\n    r_mean = rolling.get_value(rolling.index[ndx], \"Data\")\n    prev_mean = rolling.get_value(rolling.index[prev_ndx], \"Data\")\n    print(r_mean, prev_mean)\n    print(pct_change)\n    pcng = pct_change.get_value(rolling.index[ndx], \"Data\")\n\n    change = \"\u2b06\ufe0f\" if r_mean > prev_mean else \"\u2b07\ufe0f\" if r_mean < prev_mean else \"\"\n    \n    return r_mean if not pd.isnull(r_mean) else 0, change, pcng if not (pd.isnull(pcng) or pcng != np.Inf) else 0\n    \n\n# Define Nelson Rules Chart Generator\ndef nelson_rules_chart_generator(src, timeseries, player, pid, process_name, unit_name, replay, plot_width=350,fill_color=\"blue\", line_color=\"blue\", line_width=2, annotations=None, fixed_lcl=None, fixed_ucl=None):\n    # We strip the first two data points (first data point is 0 and second data point should roughly be the same for all games)\n    x_bar = src[2:].mean()\n    std = src[2:].std()\n    ctrl_limits = [x_bar + (k*std) for k in range(-3, 4)]\n    ctrl_labels = [\"LCL\", \"-2\u03c3\", \"-1\u03c3\", \"x-bar\", \"1\u03c3\", \"2\u03c3\", \"UCL\"]\n    ctrl_colors = [\"#55597F\", \"#5D6DFF\",\"#A9B2FF\",\"#000000\", \"#FF9E9F\", \"#FF5253\",\"#7F2929\"]\n    ctrl_dash = [\"solid\", \"dashed\", \"dashed\", \"solid\", \"dashed\", \"dashed\", \"solid\"]\n    ctrl_legend = [\"{0} - {1:10.4f}\".format(cl[0], cl[1]) for cl in zip(ctrl_labels, ctrl_limits)]\n    ctrl_width = [3, 2, 2, 3, 2, 2, 3]\n    \n    \n    significant = lambda x: x > ctrl_limits[5] or x < ctrl_limits[1]\n    \n    hover = HoverTool(\n        tooltips=[\n            (\"time\", \"@x\"),\n            (\"value\", \"@y\")\n        ])\n    \n    p = figure(plot_width=plot_width, plot_height=300, x_axis_label=\"Game Time (in seconds)\", y_axis_label=unit_name, tools=[hover], toolbar_location=\"above\")\n    # Generate control lines\n    lines = []\n    source = ColumnDataSource(data=dict(x=[x/16 for x in timeseries], \n                                        y=src,\n                                        alpha=[1 if significant(y) and ndx > 2 else 0.7 for ndx, y in enumerate(src)], \n                                        radius=[6 if significant(y) and ndx > 2 else 4 for ndx, y in enumerate(src)], \n                                        ))\n    for ndx, cl in enumerate(ctrl_limits):\n        limit = cl\n            \n        lines.append(p.line([x/16 for x in timeseries], \n                            [limit]*len(timeseries), \n                            line_width=ctrl_width[ndx], \n                            line_dash=ctrl_dash[ndx], \n                            tags=[ctrl_labels[ndx] if k == 0 else None for k, _ in enumerate(timeseries)],  \n                            line_color=ctrl_colors[ndx]))\n        \n    \n    p.circle(\"x\", \"y\",\n             source=source,\n             alpha=\"alpha\", \n             radius=\"radius\", \n             fill_color=fill_color,  \n             line_width=line_width)\n    \n    \n    # Handle bias\n    bias_ranges = detect_nelson_bias(src, x_bar)\n    for rng in bias_ranges:\n        if rng[2] is \"+\":\n            p.add_layout(BoxAnnotation(bottom=x_bar, top=ctrl_limits[-1], left=timeseries[rng[0]]/16, right=timeseries[rng[1]]/16, fill_color=\"green\"))\n        elif rng[2] is \"-\":\n            p.add_layout(BoxAnnotation(top=x_bar, bottom=ctrl_limits[0], left=timeseries[rng[0]]/16, right=timeseries[rng[1]]/16, fill_color=\"red\"))\n            \n    # Handle trends\n    trend_ranges = detect_nelson_trend(src, std)\n    for rng in trend_ranges:\n        if rng[2] is \"+\":\n            p.add_layout(Arrow(end=NormalHead(line_color=\"goldenrod\",\n                                              fill_color=\"goldenrod\"),\n                               x_start=timeseries[rng[0]]/16,\n                               y_start=src[rng[0]],\n                               x_end=timeseries[rng[1]]/16,\n                               y_end=src[rng[1]],\n                               line_width=4,\n                               line_alpha=0.6,\n                               line_dash=\"solid\"))\n        elif rng[2] is \"-\":\n            p.add_layout(Arrow(end=NormalHead(line_color=\"#7F0000\",\n                                              fill_color=\"#7F0000\"),\n                               x_start=timeseries[rng[0]]/16,\n                               y_start=src[rng[0]],\n                               x_end=timeseries[rng[1]]/16,\n                               y_end=src[rng[1]],\n                               line_width=4,\n                               line_alpha=0.6,\n                               line_dash=\"solid\"))\n    \n    p.title.text = \"{0} for {1}\".format(unit_name, player)\n    p.y_range = p.y_range = Range1d(ctrl_limits[0] - 0.125 * ctrl_limits[0],  1.125 * ctrl_limits[-1])\n    \n    legend = Legend(legends=list(zip(ctrl_legend, [[l] for l in lines])), location=(10,-30))\n    p.add_layout(legend, \"right\")\n    \n    return p, ctrl_limits, min(src[2:]), max(src[2:]), timeseries[-1]", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "execution_count": 11, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "replay_object = ReplayData.parse_replay(replay=replay)\nreplay_dict = replay_object.as_dict()\n\nplayers = {}\nfor player in replay_dict[\"winners\"]:\n    players[int(player[0])] = {\"full\": \"Winning Player {num}: {name} ({race})\".format(num=player[0], name=player[1], race=player[2]),\n                               \"short\": \"{name} ({race})\".format(name=player[1], race=player[2]) }\nfor player in replay_dict[\"losers\"]:\n    players[int(player[0])] = {\"full\": \"Losing Player {num}: {name} ({race})\".format(num=player[0], name=player[1], race=player[2]),\n                               \"short\": \"{name} ({race})\".format(name=player[1], race=player[2]) }\n\necon = [\"mineral_collection_rate\", \"vespene_collection_rate\", \"workers_active\", \"supply_utilization\", \"worker_supply_ratio\"]\nunits = [\"Minerals per Minute (MPM)\", \"Vespene per Minute (VPM)\", \"Workers\", \"Supply Used / Supply Available\", \"Workers / Supply Used\"]\n\nplayer_charts = defaultdict(dict)\nplayer_aggregate = defaultdict(dict)", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "source": "<p  style=\"color:blue\">\u751f\u6210\u7eb3\u5c14\u900a(Nelson)\u89c4\u5219\u56fe\u548c\u7bb1\u7ebf\u56fe\u3002</p>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 12, 
            "metadata": {}, 
            "source": "for pid, player in players.items():\n    for ndx, process in enumerate(econ):\n        # Generate charts per player\n        timeseries = [k[0] for k in replay_dict[\"stats\"][pid][process]]\n        proc_data = [j[1] for j in replay_dict[\"stats\"][pid][process]]\n\n        player_charts[pid][process], limits, v_min, v_max, game_length = nelson_rules_chart_generator(\n            pd.Series(proc_data),\n            timeseries,\n            player[\"full\"],\n            pid,\n            process,\n            units[ndx],\n            replay,\n            fixed_lcl=0)\n        player_aggregate[process][pid] = proc_data\n\ngrid = [[player_charts[k][measurement] for k in player_charts] for ndx, measurement in enumerate(econ)]\n\nreal_grid = []\n\nfor ndx in range(len(grid)):\n    sample_max = min([len(player_aggregate[econ[ndx]][j]) for j in player_aggregate[econ[ndx]].keys()])\n    # Remember, we are removing the first 20 samples (beginning of game should be the same for all, so data is useless)\n    frame = pd.DataFrame({ \"Data\": [player_aggregate[econ[ndx]][1][k] for k in range(2,sample_max)] + [player_aggregate[econ[ndx]][2][l] for l in range(2,sample_max)],\n                           \"Player\": [players[(i//sample_max) + 1][\"short\"] for i in range(0,len(players.keys())*(sample_max - 2))]})\n        \n    bp = BoxPlot(frame, values=\"Data\", \n                 label=\"Player\", \n                 title=\"{0} grouped by Player\".format(units[ndx]), \n                 color=\"Player\", \n                 # marker=\"square\", \n                 whisker_color=\"Player\", \n                 plot_height=200,\n                 legend=False)\n\n    real_grid.append(grid[ndx])   \n    real_grid.append([bp])\n\nshow(gridplot(real_grid, sizing_mode=\"scale_width\"))", 
            "outputs": [
                {
                    "metadata": {}, 
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        }, 
        {
            "source": "## \u5b58\u50a8\u6570\u636e\n<p  style=\"color:blue\">\u73b0\u5728\u5df2\u7ecf\u52a0\u8f7d\u548c\u5904\u7406\u4e86\u56de\u653e\uff0c\u6211\u4eec\u53ef\u4ee5\u5b58\u50a8\u4e0b\u6765\u4ee5\u4f9b\u4ee5\u540e\u4f7f\u7528\u3002</p>\n\n<p  style=\"color:blue\">\u56de\u653e\u5bf9\u8c61replay_object\u6709\u4e00\u4e2aas_dict()\u65b9\u6cd5\u751f\u6210JSON\u3002</p>\n\n<p  style=\"color:blue\">\u4fdd\u5b58\u5230Cloudant\u6570\u636e\u5e93\u3002</p>\n\n<li style=\"color:blue\">1. \u8fde\u63a5\u767b\u5f55\u5230Cloudant.</li>\n<li style=\"color:blue\">2. \u4fdd\u5b58\u5f53\u524d\u56de\u653e\u5230'sc2replays' \u6570\u636e\u5e93\uff0c\u6210\u4e3a\u4e00\u4e2a\u6587\u6863(document).</li>\n<li style=\"color:blue\">3. \u4fdd\u5b58\u5f53\u524d\u56de\u653e\u5230'sc2recents' \u6570\u636e\u5e93\uff0c\u6210\u4e3a\u4e00\u4e2a\u6587\u6863(document),\u5e76\u53bb\u6389\u65e7\u56de\u653e\u6587\u4ef6\u3002</li>\n", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 12, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "# Peek at what is in the object?\n# This creates a lot of output, but if you are curious just uncomment the following 2 lines:\n\nfrom pprint import pprint\npprint(replay_object.as_dict())", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "source": "<p style=\"color:blue\">\u5728\u4e0b\u9762\u7a0b\u5e8f\u6846(cell)\u4e2d\uff0c\u5982\u679c\u6709\u8bc1\u4e66\u5bf9\u8c61\u5b9a\u4e49\uff0c\u6e05\u7a7a\uff0c\u4fdd\u6301\u9009\u4e2d\u3002</p>\n<p  style=\"color:blue\">\u5728\u53f3\u4fa7\"Connections\"\u9875\u9762\uff0c\u9009\u62e9\u8fde\u63a5\"sc2recents\"\u4e0b\"Insert to code\".</p>\n<p  style=\"color:blue\">\u81ea\u52a8\u63d2\u5165\u5982\u4e0b\u4ee3\u7801</p>\n", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 14, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "# The code was removed by DSX for sharing.", 
            "outputs": [], 
            "cell_type": "code"
        }, 
        {
            "source": "<p  style=\"color:blue\">\u4f7f\u7528\u4ee5\u4e0a\u751f\u6210\u7684\u8ba4\u8bc1\u5bf9\u8c61\u540d(\u5982<font style=\"color:red\">credentials_37499</font>)\u4fee\u6539\u4ee3\u7801\u5982\u4e0b\uff1a</p>\n<p  style=\"color:blue\">sc2replay_creds =  <font style=\"color:red\"><strong>credentials_1</strong></font> -> sc2replay_creds =  <font style=\"color:red\"><strong>credentials_37499</strong></font></p>", 
            "metadata": {}, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": 15, 
            "metadata": {}, 
            "source": "from cloudant import cloudant\n\n# Some extra code here helps catch setup errors.\ntry:\n    sc2replay_creds =  credentials_1\n    print(\"Cloudant credentials added for storing replay data as JSON.\")\nexcept NameError:\n    print('\\n'\n          'SETUP ERROR: Please follow the directions to add Cloudant credentials to the notebook.\\n'\n          '             You may need to rename the credentials_* variable.')\n    raise\n\n# Now we need to send this data to 2 databases \"sc2replays for aggregating, and sc2recents.\n\n# With a cloudant.com account use the account and user.\n# Example for cloudant.com account:\n#     with cloudant(sc2replay_creds[\"user\"], sc2replay_creds[\"password\"], account=\"e-sports\") as esports:\n\n# Connect to cloudant service with Bluemix credentials url and username.\nwith cloudant(sc2replay_creds[\"username\"], sc2replay_creds[\"password\"], url=sc2replay_creds['url']) as esports:\n    session = esports.session()\n    if 'sc2replays' not in esports.all_dbs():\n        esports.create_database('sc2replays')\n        \n    sc2replays = esports['sc2replays']\n    document = sc2replays.create_document(replay_object.as_dict())\n    if document.exists():\n        print(\"sc2replays entry saved. Latest id: {0}\".format(document[\"_id\"]))\n        \n    if 'sc2recents' not in esports.all_dbs():\n        esports.create_database('sc2recents')\n        \n    sc2recents = esports['sc2recents']\n    # clear out everything in sc2recents db\n    for d in sc2recents:\n        d.delete()\n        \n    document = sc2recents.create_document(replay_object.as_dict())\n    if document.exists():\n        print(\"sc2recents entry saved. Latest id: {0}\".format(document[\"_id\"]))", 
            "outputs": [
                {
                    "name": "stdout", 
                    "output_type": "stream", 
                    "text": "Cloudant credentials added for storing replay data as JSON.\nsc2replays entry saved. Latest id: 1f92732fec245d67c3d00506770e1920\nsc2recents entry saved. Latest id: 866b70490b39ab79e690b58d781538f1\n"
                }
            ], 
            "cell_type": "code"
        }, 
        {
            "source": "<p  style=\"color:blue\">\u5230Cloudant\u63a7\u5236\u53f0\u5237\u65b0\u6570\u636e\u5e93\uff0c\u53d1\u73b0\u4e24\u4e2a\u6570\u636e\u5e93\u5404\u81ea\u589e\u52a0\u4e86\u4e00\u4e2a\u6587\u6863\uff0c\u4fdd\u5b58\u6210\u529f\u3002</p>", 
            "metadata": {
                "collapsed": true
            }, 
            "cell_type": "markdown"
        }, 
        {
            "execution_count": null, 
            "metadata": {
                "collapsed": true
            }, 
            "source": "", 
            "outputs": [], 
            "cell_type": "code"
        }
    ]
}