Loading+Graphs+in+NetworkX-Copy1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loading Graphs in NetworkX"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import networkx as nx\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "%matplotlib notebook\n",
    "\n",
    "# Instantiate the graph\n",
    "G1 = nx.Graph()\n",
    "# add node/edge pairs\n",
    "G1.add_edges_from([(0, 1),\n",
    "                   (0, 2),\n",
    "                   (0, 3),\n",
    "                   (0, 5),\n",
    "                   (1, 3),\n",
    "                   (1, 6),\n",
    "                   (3, 4),\n",
    "                   (4, 5),\n",
    "                   (4, 7),\n",
    "                   (5, 8),\n",
    "                   (8, 9)])\n",
    "\n",
    "# draw the network G1\n",
    "nx.draw_networkx(G1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adjacency List"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`G_adjlist.txt` is the adjaceny list representation of G1.\n",
    "\n",
    "It can be read as follows:\n",
    "* `0 1 2 3 5` $\\rightarrow$ node `0` is adjacent to nodes `1, 2, 3, 5`\n",
    "* `1 3 6` $\\rightarrow$ node `1` is (also) adjacent to nodes `3, 6`\n",
    "* `2` $\\rightarrow$ node `2` is (also) adjacent to no new nodes\n",
    "* `3 4` $\\rightarrow$ node `3` is (also) adjacent to node `4` \n",
    "\n",
    "and so on. Note that adjacencies are only accounted for once (e.g. node `2` is adjacent to node `0`, but node `0` is not listed in node `2`'s row, because that edge has already been accounted for in node `0`'s row)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1 2 3 5\n",
      "1 3 6\n",
      "2\n",
      "3 4\n",
      "4 5 7\n",
      "5 8\n",
      "6\n",
      "7\n",
      "8 9\n",
      "9\n"
     ]
    }
   ],
   "source": [
    "!cat G_adjlist.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we read in the adjacency list using `nx.read_adjlist`, we can see that it matches `G1`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 1),\n",
       " (0, 2),\n",
       " (0, 3),\n",
       " (0, 5),\n",
       " (1, 3),\n",
       " (1, 6),\n",
       " (3, 4),\n",
       " (5, 4),\n",
       " (5, 8),\n",
       " (4, 7),\n",
       " (8, 9)]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G2 = nx.read_adjlist('G_adjlist.txt', nodetype=int)\n",
    "G2.edges()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adjacency Matrix\n",
    "\n",
    "The elements in an adjacency matrix indicate whether pairs of vertices are adjacent or not in the graph. Each node has a corresponding row and column. For example, row `0`, column `1` corresponds to the edge between node `0` and node `1`.  \n",
    "\n",
    "Reading across row `0`, there is a '`1`' in columns `1`, `2`, `3`, and `5`, which indicates that node `0` is adjacent to nodes 1, 2, 3, and 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 1, 1, 1, 0, 1, 0, 0, 0, 0],\n",
       "       [1, 0, 0, 1, 0, 0, 1, 0, 0, 0],\n",
       "       [1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
       "       [1, 1, 0, 0, 1, 0, 0, 0, 0, 0],\n",
       "       [0, 0, 0, 1, 0, 1, 0, 1, 0, 0],\n",
       "       [1, 0, 0, 0, 1, 0, 0, 0, 1, 0],\n",
       "       [0, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n",
       "       [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n",
       "       [0, 0, 0, 0, 0, 1, 0, 0, 0, 1],\n",
       "       [0, 0, 0, 0, 0, 0, 0, 0, 1, 0]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G_mat = np.array([[0, 1, 1, 1, 0, 1, 0, 0, 0, 0],\n",
    "                  [1, 0, 0, 1, 0, 0, 1, 0, 0, 0],\n",
    "                  [1, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
    "                  [1, 1, 0, 0, 1, 0, 0, 0, 0, 0],\n",
    "                  [0, 0, 0, 1, 0, 1, 0, 1, 0, 0],\n",
    "                  [1, 0, 0, 0, 1, 0, 0, 0, 1, 0],\n",
    "                  [0, 1, 0, 0, 0, 0, 0, 0, 0, 0],\n",
    "                  [0, 0, 0, 0, 1, 0, 0, 0, 0, 0],\n",
    "                  [0, 0, 0, 0, 0, 1, 0, 0, 0, 1],\n",
    "                  [0, 0, 0, 0, 0, 0, 0, 0, 1, 0]])\n",
    "G_mat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If we convert the adjacency matrix to a networkx graph using `nx.Graph`, we can see that it matches G1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 1),\n",
       " (0, 2),\n",
       " (0, 3),\n",
       " (0, 5),\n",
       " (1, 3),\n",
       " (1, 6),\n",
       " (3, 4),\n",
       " (4, 5),\n",
       " (4, 7),\n",
       " (5, 8),\n",
       " (8, 9)]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G3 = nx.Graph(G_mat)\n",
    "G3.edges()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Edgelist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The edge list format represents edge pairings in the first two columns. Additional edge attributes can be added in subsequent columns. Looking at `G_edgelist.txt` this is the same as the original graph `G1`, but now each edge has a weight. \n",
    "\n",
    "For example, from the first row, we can see the edge between nodes `0` and `1`, has a weight of `4`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 1 4\n",
      "0 2 3\n",
      "0 3 2\n",
      "0 5 6\n",
      "1 3 2\n",
      "1 6 5\n",
      "3 4 3\n",
      "4 5 1\n",
      "4 7 2\n",
      "5 8 6\n",
      "8 9 1\n"
     ]
    }
   ],
   "source": [
    "!cat G_edgelist.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using `read_edgelist` and passing in a list of tuples with the name and type of each edge attribute will create a graph with our desired edge attributes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('0', '1', {'Weight': 4}),\n",
       " ('0', '2', {'Weight': 3}),\n",
       " ('0', '3', {'Weight': 2}),\n",
       " ('0', '5', {'Weight': 6}),\n",
       " ('1', '3', {'Weight': 2}),\n",
       " ('1', '6', {'Weight': 5}),\n",
       " ('3', '4', {'Weight': 3}),\n",
       " ('5', '4', {'Weight': 1}),\n",
       " ('5', '8', {'Weight': 6}),\n",
       " ('4', '7', {'Weight': 2}),\n",
       " ('8', '9', {'Weight': 1})]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G4 = nx.read_edgelist('G_edgelist.txt', data=[('Weight', int)])\n",
    "\n",
    "G4.edges(data=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pandas DataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Graphs can also be created from pandas dataframes if they are in edge list format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>n1</th>\n",
       "      <th>n2</th>\n",
       "      <th>weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    n1  n2  weight\n",
       "0    0   1       4\n",
       "1    0   2       3\n",
       "2    0   3       2\n",
       "3    0   5       6\n",
       "4    1   3       2\n",
       "5    1   6       5\n",
       "6    3   4       3\n",
       "7    4   5       1\n",
       "8    4   7       2\n",
       "9    5   8       6\n",
       "10   8   9       1"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G_df = pd.read_csv('G_edgelist.txt', delim_whitespace=True, \n",
    "                   header=None, names=['n1', 'n2', 'weight'])\n",
    "G_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0, 1, {'weight': 4}),\n",
       " (0, 2, {'weight': 3}),\n",
       " (0, 3, {'weight': 2}),\n",
       " (0, 5, {'weight': 6}),\n",
       " (1, 3, {'weight': 2}),\n",
       " (1, 6, {'weight': 5}),\n",
       " (3, 4, {'weight': 3}),\n",
       " (5, 4, {'weight': 1}),\n",
       " (5, 8, {'weight': 6}),\n",
       " (4, 7, {'weight': 2}),\n",
       " (8, 9, {'weight': 1})]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G5 = nx.from_pandas_dataframe(G_df, 'n1', 'n2', edge_attr='weight')\n",
    "G5.edges(data=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Chess Example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's load in a more complex graph and perform some basic analysis on it.\n",
    "\n",
    "We will be looking at chess_graph.txt, which is a directed graph of chess games in edge list format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2 0\t885635999.999997\n",
      "1 3 0\t885635999.999997\n",
      "1 4 0\t885635999.999997\n",
      "1 5 1\t885635999.999997\n",
      "1 6 0\t885635999.999997\n"
     ]
    }
   ],
   "source": [
    "!head -5 chess_graph.txt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each node is a chess player, and each edge represents a game. The first column with an outgoing edge corresponds to the white player, the second column with an incoming edge corresponds to the black player.\n",
    "\n",
    "The third column, the weight of the edge, corresponds to the outcome of the game. A weight of 1 indicates white won, a 0 indicates a draw, and a -1 indicates black won.\n",
    "\n",
    "The fourth column corresponds to approximate timestamps of when the game was played.\n",
    "\n",
    "We can read in the chess graph using `read_edgelist`, and tell it to create the graph using a `nx.MultiDiGraph`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "chess = nx.read_edgelist('chess_graph.txt', data=[('outcome', int), ('timestamp', float)], \n",
    "                         create_using=nx.MultiDiGraph())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(True, True)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chess.is_directed(), chess.is_multigraph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('1', '2', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('1', '3', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('1', '4', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('1', '5', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('1', '6', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('1', '807', {'outcome': 0, 'timestamp': 896148000.000003}),\n",
       " ('1', '454', {'outcome': 0, 'timestamp': 896148000.000003}),\n",
       " ('1', '827', {'outcome': 0, 'timestamp': 901403999.999997}),\n",
       " ('1', '1240', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('1', '680', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('1', '166', {'outcome': -1, 'timestamp': 906660000.0}),\n",
       " ('1', '1241', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('1', '1242', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('1', '808', {'outcome': 0, 'timestamp': 925055999.999997}),\n",
       " ('1', '819', {'outcome': 0, 'timestamp': 925055999.999997}),\n",
       " ('1', '448', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('1', '1214', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('1', '1217', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('1', '2454', {'outcome': 0, 'timestamp': 938196000.0}),\n",
       " ('1', '925', {'outcome': 1, 'timestamp': 1064340000.0}),\n",
       " ('1', '91', {'outcome': 1, 'timestamp': 1064340000.0}),\n",
       " ('1', '4477', {'outcome': 0, 'timestamp': 1098504000.0}),\n",
       " ('1', '1363', {'outcome': 0, 'timestamp': 1098504000.0}),\n",
       " ('1', '3644', {'outcome': 1, 'timestamp': 1098504000.0}),\n",
       " ('1', '1615', {'outcome': 0, 'timestamp': 1098504000.0}),\n",
       " ('1', '1051', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('2', '3', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('2', '1166', {'outcome': 1, 'timestamp': 904032000.000003}),\n",
       " ('2', '303', {'outcome': 1, 'timestamp': 904032000.000003}),\n",
       " ('2', '926', {'outcome': 1, 'timestamp': 904032000.000003}),\n",
       " ('2', '1117', {'outcome': 0, 'timestamp': 904032000.000003}),\n",
       " ('2', '2010', {'outcome': -1, 'timestamp': 930312000.0}),\n",
       " ('2', '172', {'outcome': 0, 'timestamp': 930312000.0}),\n",
       " ('2', '172', {'outcome': 1, 'timestamp': 1053828000.0}),\n",
       " ('2', '2240', {'outcome': 0, 'timestamp': 930312000.0}),\n",
       " ('2', '2240', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('2', '371', {'outcome': 0, 'timestamp': 935568000.000003}),\n",
       " ('2', '14', {'outcome': -1, 'timestamp': 935568000.000003}),\n",
       " ('2', '277', {'outcome': -1, 'timestamp': 946080000.0}),\n",
       " ('2', '152', {'outcome': 1, 'timestamp': 985500000.0}),\n",
       " ('2', '23', {'outcome': 1, 'timestamp': 993384000.0}),\n",
       " ('2', '1439', {'outcome': -1, 'timestamp': 993384000.0}),\n",
       " ('2', '610', {'outcome': 0, 'timestamp': 1011780000.0}),\n",
       " ('2', '3991', {'outcome': 0, 'timestamp': 1048572000.0}),\n",
       " ('2', '421', {'outcome': 1, 'timestamp': 1059084000.0}),\n",
       " ('2', '462', {'outcome': 1, 'timestamp': 1059084000.0}),\n",
       " ('2', '483', {'outcome': 0, 'timestamp': 1064340000.0}),\n",
       " ('2', '879', {'outcome': 1, 'timestamp': 1064340000.0}),\n",
       " ('2', '456', {'outcome': 1, 'timestamp': 1066968000.0}),\n",
       " ('2', '456', {'outcome': 0, 'timestamp': 1109016000.0}),\n",
       " ('2', '623', {'outcome': 0, 'timestamp': 1066968000.0}),\n",
       " ('2', '477', {'outcome': 0, 'timestamp': 1074852000.0}),\n",
       " ('2', '3776', {'outcome': 1, 'timestamp': 1082736000.0}),\n",
       " ('2', '673', {'outcome': 1, 'timestamp': 1082736000.0}),\n",
       " ('2', '580', {'outcome': -1, 'timestamp': 1082736000.0}),\n",
       " ('2', '64', {'outcome': 0, 'timestamp': 1082736000.0}),\n",
       " ('2', '2028', {'outcome': 1, 'timestamp': 1085364000.0}),\n",
       " ('2', '1677', {'outcome': 1, 'timestamp': 1087992000.0}),\n",
       " ('2', '112', {'outcome': 0, 'timestamp': 1090620000.0}),\n",
       " ('2', '545', {'outcome': 1, 'timestamp': 1090620000.0}),\n",
       " ('2', '545', {'outcome': 0, 'timestamp': 1119528000.0}),\n",
       " ('2', '639', {'outcome': 0, 'timestamp': 1093248000.0}),\n",
       " ('2', '412', {'outcome': 0, 'timestamp': 1109016000.0}),\n",
       " ('2', '983', {'outcome': 0, 'timestamp': 1119528000.0}),\n",
       " ('2', '1529', {'outcome': 1, 'timestamp': 1122156000.0}),\n",
       " ('2', '418', {'outcome': 1, 'timestamp': 1124784000.0}),\n",
       " ('2', '621', {'outcome': 0, 'timestamp': 1124784000.0}),\n",
       " ('2', '74', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('2', '3830', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('2', '1184', {'outcome': 0, 'timestamp': 1130040000.0}),\n",
       " ('2', '9', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('2', '3989', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('2', '3465', {'outcome': 1, 'timestamp': 1143180000.0}),\n",
       " ('2', '7200', {'outcome': 1, 'timestamp': 1145808000.0}),\n",
       " ('2', '90', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('3', '89', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('3', '172', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('3', '4', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('3', '236', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('3', '6', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('3', '542', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('3', '602', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('3', '602', {'outcome': 1, 'timestamp': 956591999.999997}),\n",
       " ('3', '680', {'outcome': -1, 'timestamp': 901403999.999997}),\n",
       " ('3', '117', {'outcome': 1, 'timestamp': 901403999.999997}),\n",
       " ('3', '1035', {'outcome': 0, 'timestamp': 901403999.999997}),\n",
       " ('3', '1035', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('3', '1', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('3', '1', {'outcome': 0, 'timestamp': 925055999.999997}),\n",
       " ('3', '1181', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('3', '91', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('3', '91', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('3', '59', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('3', '1242', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('3', '808', {'outcome': 0, 'timestamp': 925055999.999997}),\n",
       " ('3', '808', {'outcome': 0, 'timestamp': 956591999.999997}),\n",
       " ('3', '9', {'outcome': 0, 'timestamp': 938196000.0}),\n",
       " ('3', '9', {'outcome': 0, 'timestamp': 956591999.999997}),\n",
       " ('3', '9', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('3', '1472', {'outcome': -1, 'timestamp': 938196000.0}),\n",
       " ('3', '453', {'outcome': 0, 'timestamp': 1019664000.0}),\n",
       " ('3', '453', {'outcome': 1, 'timestamp': 1032804000.0}),\n",
       " ('3', '453', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('3', '1432', {'outcome': 1, 'timestamp': 1019664000.0}),\n",
       " ('3', '1125', {'outcome': 0, 'timestamp': 1032804000.0}),\n",
       " ('3', '516', {'outcome': 0, 'timestamp': 1064340000.0}),\n",
       " ('3', '448', {'outcome': 0, 'timestamp': 1064340000.0}),\n",
       " ('3', '1241', {'outcome': 0, 'timestamp': 1064340000.0}),\n",
       " ('3', '807', {'outcome': 0, 'timestamp': 1098504000.0}),\n",
       " ('3', '1363', {'outcome': 0, 'timestamp': 1098504000.0}),\n",
       " ('3', '1406', {'outcome': 0, 'timestamp': 1098504000.0}),\n",
       " ('3', '1123', {'outcome': -1, 'timestamp': 1101132000.0}),\n",
       " ('3', '18', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('3', '3934', {'outcome': -1, 'timestamp': 1119528000.0}),\n",
       " ('3', '1809', {'outcome': 0, 'timestamp': 1119528000.0}),\n",
       " ('3', '4234', {'outcome': 0, 'timestamp': 1119528000.0}),\n",
       " ('3', '3058', {'outcome': 0, 'timestamp': 1122156000.0}),\n",
       " ('3', '1066', {'outcome': 0, 'timestamp': 1122156000.0}),\n",
       " ('3', '118', {'outcome': 0, 'timestamp': 1122156000.0}),\n",
       " ('3', '4182', {'outcome': 0, 'timestamp': 1124784000.0}),\n",
       " ('3', '681', {'outcome': 0, 'timestamp': 1124784000.0}),\n",
       " ('3', '394', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('4', '89', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('4', '172', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('4', '236', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('4', '91', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('4', '992', {'outcome': 1, 'timestamp': 1051200000.0}),\n",
       " ('4', '1245', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('5', '4', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('5', '236', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('5', '6', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('5', '115', {'outcome': -1, 'timestamp': 998640000.000003}),\n",
       " ('5', '3318', {'outcome': -1, 'timestamp': 998640000.000003}),\n",
       " ('5', '56', {'outcome': 0, 'timestamp': 998640000.000003}),\n",
       " ('5', '2266', {'outcome': 0, 'timestamp': 1103760000.0}),\n",
       " ('5', '4637', {'outcome': -1, 'timestamp': 1103760000.0}),\n",
       " ('5', '4628', {'outcome': -1, 'timestamp': 1135296000.0}),\n",
       " ('5', '2677', {'outcome': 0, 'timestamp': 1135296000.0}),\n",
       " ('6', '4', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('6', '91', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('6', '453', {'outcome': 1, 'timestamp': 890892000.0}),\n",
       " ('6', '3', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('6', '454', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('6', '182', {'outcome': 0, 'timestamp': 896148000.000003}),\n",
       " ('6', '118', {'outcome': 1, 'timestamp': 896148000.000003}),\n",
       " ('6', '680', {'outcome': 1, 'timestamp': 901403999.999997}),\n",
       " ('6', '142', {'outcome': 1, 'timestamp': 901403999.999997}),\n",
       " ('6', '1035', {'outcome': 0, 'timestamp': 901403999.999997}),\n",
       " ('6', '818', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('6', '139', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('6', '1262', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('6', '257', {'outcome': 0, 'timestamp': 946080000.0}),\n",
       " ('6', '586', {'outcome': 0, 'timestamp': 946080000.0}),\n",
       " ('6', '84', {'outcome': 1, 'timestamp': 985500000.0}),\n",
       " ('6', '1711', {'outcome': 0, 'timestamp': 985500000.0}),\n",
       " ('6', '214', {'outcome': 1, 'timestamp': 985500000.0}),\n",
       " ('6', '90', {'outcome': -1, 'timestamp': 1024920000.0}),\n",
       " ('6', '90', {'outcome': 0, 'timestamp': 1024920000.0}),\n",
       " ('6', '332', {'outcome': 1, 'timestamp': 1024920000.0}),\n",
       " ('6', '332', {'outcome': 1, 'timestamp': 1024920000.0}),\n",
       " ('6', '1166', {'outcome': 1, 'timestamp': 1032804000.0}),\n",
       " ('6', '1556', {'outcome': 1, 'timestamp': 1032804000.0}),\n",
       " ('6', '440', {'outcome': 0, 'timestamp': 1032804000.0}),\n",
       " ('6', '500', {'outcome': 1, 'timestamp': 1032804000.0}),\n",
       " ('6', '913', {'outcome': 0, 'timestamp': 1082736000.0}),\n",
       " ('6', '1308', {'outcome': -1, 'timestamp': 1082736000.0}),\n",
       " ('6', '2972', {'outcome': 0, 'timestamp': 1082736000.0}),\n",
       " ('6', '4302', {'outcome': -1, 'timestamp': 1101132000.0}),\n",
       " ('6', '4029', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('6', '4862', {'outcome': -1, 'timestamp': 1122156000.0}),\n",
       " ('6', '1282', {'outcome': -1, 'timestamp': 1122156000.0}),\n",
       " ('6', '3737', {'outcome': 1, 'timestamp': 1122156000.0}),\n",
       " ('6', '5919', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('6', '3497', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('6', '4883', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('6', '6001', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('6', '6023', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('6', '3103', {'outcome': 0, 'timestamp': 1135296000.0}),\n",
       " ('6', '39', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('6', '3113', {'outcome': 1, 'timestamp': 1140552000.0}),\n",
       " ('6', '128', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('6', '7115', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('6', '870', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('6', '7166', {'outcome': -1, 'timestamp': 1143180000.0}),\n",
       " ('6', '2008', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('7', '8', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('7', '9', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('7', '10', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('8', '67', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('8', '67', {'outcome': -1, 'timestamp': 888264000.000003}),\n",
       " ('8', '20', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('8', '68', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('8', '69', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('8', '277', {'outcome': 0, 'timestamp': 888264000.000003}),\n",
       " ('8', '322', {'outcome': -1, 'timestamp': 888264000.000003}),\n",
       " ('8', '323', {'outcome': 0, 'timestamp': 888264000.000003}),\n",
       " ('8', '324', {'outcome': 0, 'timestamp': 888264000.000003}),\n",
       " ('8', '631', {'outcome': 0, 'timestamp': 919800000.000003}),\n",
       " ('8', '946', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('8', '4060', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('9', '113', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('9', '114', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('9', '477', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('9', '269', {'outcome': 1, 'timestamp': 890892000.0}),\n",
       " ('9', '200', {'outcome': 0, 'timestamp': 919800000.000003}),\n",
       " ('9', '436', {'outcome': 0, 'timestamp': 919800000.000003}),\n",
       " ('9', '436', {'outcome': 0, 'timestamp': 922428000.0}),\n",
       " ('9', '285', {'outcome': -1, 'timestamp': 922428000.0}),\n",
       " ('9', '1194', {'outcome': 0, 'timestamp': 922428000.0}),\n",
       " ('9', '448', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('9', '807', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('9', '1214', {'outcome': 1, 'timestamp': 927684000.000003}),\n",
       " ('9', '1491', {'outcome': 1, 'timestamp': 927684000.000003}),\n",
       " ('9', '1167', {'outcome': 1, 'timestamp': 938196000.0}),\n",
       " ('9', '2457', {'outcome': 1, 'timestamp': 938196000.0}),\n",
       " ('9', '2515', {'outcome': 1, 'timestamp': 938196000.0}),\n",
       " ('9', '819', {'outcome': 0, 'timestamp': 938196000.0}),\n",
       " ('9', '819', {'outcome': 1, 'timestamp': 948707999.999997}),\n",
       " ('9', '91', {'outcome': -1, 'timestamp': 938196000.0}),\n",
       " ('9', '1123', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('9', '310', {'outcome': 0, 'timestamp': 951336000.000003}),\n",
       " ('9', '1252', {'outcome': 1, 'timestamp': 956591999.999997}),\n",
       " ('9', '2247', {'outcome': 0, 'timestamp': 956591999.999997}),\n",
       " ('9', '602', {'outcome': 0, 'timestamp': 956591999.999997}),\n",
       " ('9', '736', {'outcome': 0, 'timestamp': 977616000.0}),\n",
       " ('9', '2413', {'outcome': 0, 'timestamp': 977616000.0}),\n",
       " ('9', '1466', {'outcome': 1, 'timestamp': 977616000.0}),\n",
       " ('9', '130', {'outcome': 0, 'timestamp': 985500000.0}),\n",
       " ('9', '130', {'outcome': -1, 'timestamp': 993384000.0}),\n",
       " ('9', '669', {'outcome': -1, 'timestamp': 985500000.0}),\n",
       " ('9', '712', {'outcome': 0, 'timestamp': 985500000.0}),\n",
       " ('9', '3113', {'outcome': -1, 'timestamp': 985500000.0}),\n",
       " ('9', '3113', {'outcome': 1, 'timestamp': 1145808000.0}),\n",
       " ('9', '653', {'outcome': -1, 'timestamp': 993384000.0}),\n",
       " ('9', '330', {'outcome': -1, 'timestamp': 993384000.0}),\n",
       " ('9', '330', {'outcome': 1, 'timestamp': 1135296000.0}),\n",
       " ('9', '731', {'outcome': 0, 'timestamp': 993384000.0}),\n",
       " ('9', '81', {'outcome': 1, 'timestamp': 1006524000.0}),\n",
       " ('9', '3139', {'outcome': 1, 'timestamp': 1006524000.0}),\n",
       " ('9', '127', {'outcome': 0, 'timestamp': 1006524000.0}),\n",
       " ('9', '3101', {'outcome': 1, 'timestamp': 1009152000.0}),\n",
       " ('9', '1929', {'outcome': -1, 'timestamp': 1009152000.0}),\n",
       " ('9', '889', {'outcome': -1, 'timestamp': 1024920000.0}),\n",
       " ('9', '223', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('9', '3038', {'outcome': 1, 'timestamp': 1038060000.0}),\n",
       " ('9', '3135', {'outcome': 1, 'timestamp': 1038060000.0}),\n",
       " ('9', '128', {'outcome': 1, 'timestamp': 1038060000.0}),\n",
       " ('9', '3505', {'outcome': 1, 'timestamp': 1048572000.0}),\n",
       " ('9', '635', {'outcome': -1, 'timestamp': 1048572000.0}),\n",
       " ('9', '453', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('9', '87', {'outcome': 1, 'timestamp': 1051200000.0}),\n",
       " ('9', '1035', {'outcome': -1, 'timestamp': 1051200000.0}),\n",
       " ('9', '3201', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('9', '817', {'outcome': 1, 'timestamp': 1056456000.0}),\n",
       " ('9', '1927', {'outcome': -1, 'timestamp': 1072224000.0}),\n",
       " ('9', '4543', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('9', '4545', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('9', '4544', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('9', '3524', {'outcome': 0, 'timestamp': 1135296000.0}),\n",
       " ('9', '39', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('9', '4060', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('9', '1117', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('9', '1676', {'outcome': 1, 'timestamp': 1145808000.0}),\n",
       " ('9', '4549', {'outcome': 1, 'timestamp': 1145808000.0}),\n",
       " ('9', '4542', {'outcome': 1, 'timestamp': 1145808000.0}),\n",
       " ('10', '114', {'outcome': -1, 'timestamp': 985500000.0}),\n",
       " ('11', '12', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('12', '48', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('12', '517', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('12', '1932', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('12', '115', {'outcome': 1, 'timestamp': 948707999.999997}),\n",
       " ('12', '93', {'outcome': 1, 'timestamp': 948707999.999997}),\n",
       " ('12', '278', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('12', '2070', {'outcome': 1, 'timestamp': 972359999.999997}),\n",
       " ('12', '974', {'outcome': 1, 'timestamp': 980243999.999997}),\n",
       " ('12', '3658', {'outcome': 1, 'timestamp': 1030176000.0}),\n",
       " ('12', '1796', {'outcome': 1, 'timestamp': 1064340000.0}),\n",
       " ('12', '77', {'outcome': 0, 'timestamp': 1090620000.0}),\n",
       " ('12', '1087', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('12', '224', {'outcome': -1, 'timestamp': 1101132000.0}),\n",
       " ('12', '3465', {'outcome': 0, 'timestamp': 1101132000.0}),\n",
       " ('12', '366', {'outcome': 0, 'timestamp': 1101132000.0}),\n",
       " ('12', '34', {'outcome': 1, 'timestamp': 1122156000.0}),\n",
       " ('12', '4886', {'outcome': 0, 'timestamp': 1122156000.0}),\n",
       " ('12', '25', {'outcome': 0, 'timestamp': 1122156000.0}),\n",
       " ('12', '1957', {'outcome': 1, 'timestamp': 1122156000.0}),\n",
       " ('12', '1835', {'outcome': 1, 'timestamp': 1124784000.0}),\n",
       " ('12', '2526', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('12', '3745', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('12', '170', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('12', '1911', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('12', '1201', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('12', '287', {'outcome': 0, 'timestamp': 1135296000.0}),\n",
       " ('12', '3024', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('12', '1177', {'outcome': -1, 'timestamp': 1143180000.0}),\n",
       " ('12', '174', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('12', '357', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('13', '14', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('13', '14', {'outcome': 1, 'timestamp': 904032000.000003}),\n",
       " ('13', '14', {'outcome': 0, 'timestamp': 911916000.000003}),\n",
       " ('13', '280', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('13', '280', {'outcome': 0, 'timestamp': 914544000.0}),\n",
       " ('13', '280', {'outcome': 0, 'timestamp': 993384000.0}),\n",
       " ('13', '280', {'outcome': -1, 'timestamp': 1040688000.0}),\n",
       " ('13', '280', {'outcome': 0, 'timestamp': 1043316000.0}),\n",
       " ('13', '280', {'outcome': 0, 'timestamp': 1061712000.0}),\n",
       " ('13', '280', {'outcome': 1, 'timestamp': 1072224000.0}),\n",
       " ('13', '280', {'outcome': 0, 'timestamp': 1124784000.0}),\n",
       " ('13', '280', {'outcome': 0, 'timestamp': 1135296000.0}),\n",
       " ('13', '275', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('13', '275', {'outcome': 0, 'timestamp': 930312000.0}),\n",
       " ('13', '275', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('13', '275', {'outcome': 1, 'timestamp': 1040688000.0}),\n",
       " ('13', '275', {'outcome': -1, 'timestamp': 1043316000.0}),\n",
       " ('13', '275', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('13', '275', {'outcome': 1, 'timestamp': 1066968000.0}),\n",
       " ('13', '275', {'outcome': 0, 'timestamp': 1072224000.0}),\n",
       " ('13', '275', {'outcome': 0, 'timestamp': 1135296000.0}),\n",
       " ('13', '211', {'outcome': 0, 'timestamp': 904032000.000003}),\n",
       " ('13', '211', {'outcome': 0, 'timestamp': 1022292000.0}),\n",
       " ('13', '211', {'outcome': 1, 'timestamp': 1072224000.0}),\n",
       " ('13', '211', {'outcome': 0, 'timestamp': 1124784000.0}),\n",
       " ('13', '188', {'outcome': 0, 'timestamp': 904032000.000003}),\n",
       " ('13', '461', {'outcome': 1, 'timestamp': 911916000.000003}),\n",
       " ('13', '461', {'outcome': 1, 'timestamp': 1098504000.0}),\n",
       " ('13', '503', {'outcome': 1, 'timestamp': 911916000.000003}),\n",
       " ('13', '503', {'outcome': 1, 'timestamp': 1022292000.0}),\n",
       " ('13', '98', {'outcome': 1, 'timestamp': 914544000.0}),\n",
       " ('13', '98', {'outcome': 0, 'timestamp': 977616000.0}),\n",
       " ('13', '98', {'outcome': 1, 'timestamp': 1032804000.0}),\n",
       " ('13', '98', {'outcome': 1, 'timestamp': 1103760000.0}),\n",
       " ('13', '801', {'outcome': 0, 'timestamp': 914544000.0}),\n",
       " ('13', '801', {'outcome': -1, 'timestamp': 930312000.0}),\n",
       " ('13', '801', {'outcome': 1, 'timestamp': 1032804000.0}),\n",
       " ('13', '801', {'outcome': 0, 'timestamp': 1061712000.0}),\n",
       " ('13', '801', {'outcome': 1, 'timestamp': 1124784000.0}),\n",
       " ('13', '180', {'outcome': -1, 'timestamp': 946080000.0}),\n",
       " ('13', '731', {'outcome': 0, 'timestamp': 946080000.0}),\n",
       " ('13', '257', {'outcome': 0, 'timestamp': 946080000.0}),\n",
       " ('13', '913', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('13', '913', {'outcome': 0, 'timestamp': 980243999.999997}),\n",
       " ('13', '913', {'outcome': 0, 'timestamp': 1043316000.0}),\n",
       " ('13', '1027', {'outcome': 1, 'timestamp': 969732000.0}),\n",
       " ('13', '1027', {'outcome': 0, 'timestamp': 1066968000.0}),\n",
       " ('13', '673', {'outcome': 1, 'timestamp': 969732000.0}),\n",
       " ('13', '1244', {'outcome': 1, 'timestamp': 969732000.0}),\n",
       " ('13', '537', {'outcome': 1, 'timestamp': 977616000.0}),\n",
       " ('13', '537', {'outcome': 1, 'timestamp': 980243999.999997}),\n",
       " ('13', '537', {'outcome': 1, 'timestamp': 1040688000.0}),\n",
       " ('13', '537', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('13', '1791', {'outcome': 0, 'timestamp': 977616000.0}),\n",
       " ('13', '1791', {'outcome': 1, 'timestamp': 980243999.999997}),\n",
       " ('13', '1791', {'outcome': -1, 'timestamp': 993384000.0}),\n",
       " ('13', '1791', {'outcome': 0, 'timestamp': 1103760000.0}),\n",
       " ('13', '1791', {'outcome': 0, 'timestamp': 1137924000.0}),\n",
       " ('13', '1202', {'outcome': 0, 'timestamp': 1003896000.0}),\n",
       " ('13', '462', {'outcome': 1, 'timestamp': 1003896000.0}),\n",
       " ('13', '467', {'outcome': 0, 'timestamp': 1009152000.0}),\n",
       " ('13', '440', {'outcome': 1, 'timestamp': 1009152000.0}),\n",
       " ('13', '53', {'outcome': 1, 'timestamp': 1009152000.0}),\n",
       " ('13', '371', {'outcome': 1, 'timestamp': 1024920000.0}),\n",
       " ('13', '371', {'outcome': 0, 'timestamp': 1040688000.0}),\n",
       " ('13', '371', {'outcome': 0, 'timestamp': 1061712000.0}),\n",
       " ('13', '371', {'outcome': 1, 'timestamp': 1103760000.0}),\n",
       " ('13', '371', {'outcome': 1, 'timestamp': 1124784000.0}),\n",
       " ('13', '439', {'outcome': 1, 'timestamp': 1061712000.0}),\n",
       " ('13', '500', {'outcome': 0, 'timestamp': 1066968000.0}),\n",
       " ('13', '1108', {'outcome': 0, 'timestamp': 1072224000.0}),\n",
       " ('13', '1108', {'outcome': 0, 'timestamp': 1103760000.0}),\n",
       " ('13', '1108', {'outcome': -1, 'timestamp': 1137924000.0}),\n",
       " ('13', '272', {'outcome': 0, 'timestamp': 1098504000.0}),\n",
       " ('13', '1025', {'outcome': 0, 'timestamp': 1103760000.0}),\n",
       " ('13', '580', {'outcome': 1, 'timestamp': 1124784000.0}),\n",
       " ('13', '635', {'outcome': 0, 'timestamp': 1135296000.0}),\n",
       " ('13', '2574', {'outcome': 0, 'timestamp': 1137924000.0}),\n",
       " ('14', '13', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('14', '13', {'outcome': 0, 'timestamp': 911916000.000003}),\n",
       " ('14', '280', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('14', '280', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('14', '53', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('14', '53', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('14', '455', {'outcome': 1, 'timestamp': 904032000.000003}),\n",
       " ('14', '537', {'outcome': -1, 'timestamp': 904032000.000003}),\n",
       " ('14', '257', {'outcome': 0, 'timestamp': 904032000.000003}),\n",
       " ('14', '637', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('14', '731', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('14', '731', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('14', '207', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('14', '1245', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('14', '1178', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('14', '1160', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('14', '1160', {'outcome': 0, 'timestamp': 1116900000.0}),\n",
       " ('14', '2028', {'outcome': -1, 'timestamp': 935568000.000003}),\n",
       " ('14', '952', {'outcome': 1, 'timestamp': 935568000.000003}),\n",
       " ('14', '275', {'outcome': 0, 'timestamp': 938196000.0}),\n",
       " ('14', '275', {'outcome': 0, 'timestamp': 1032804000.0}),\n",
       " ('14', '98', {'outcome': 1, 'timestamp': 946080000.0}),\n",
       " ('14', '643', {'outcome': 0, 'timestamp': 946080000.0}),\n",
       " ('14', '211', {'outcome': 0, 'timestamp': 946080000.0}),\n",
       " ('14', '127', {'outcome': 0, 'timestamp': 946080000.0}),\n",
       " ('14', '580', {'outcome': -1, 'timestamp': 969732000.0}),\n",
       " ('14', '798', {'outcome': 0, 'timestamp': 982872000.000003}),\n",
       " ('14', '1013', {'outcome': 0, 'timestamp': 988127999.999997}),\n",
       " ('14', '3174', {'outcome': 1, 'timestamp': 988127999.999997}),\n",
       " ('14', '522', {'outcome': 1, 'timestamp': 988127999.999997}),\n",
       " ('14', '1095', {'outcome': 1, 'timestamp': 988127999.999997}),\n",
       " ('14', '573', {'outcome': 0, 'timestamp': 988127999.999997}),\n",
       " ('14', '1201', {'outcome': 0, 'timestamp': 988127999.999997}),\n",
       " ('14', '595', {'outcome': -1, 'timestamp': 988127999.999997}),\n",
       " ('14', '862', {'outcome': 0, 'timestamp': 988127999.999997}),\n",
       " ('14', '28', {'outcome': 1, 'timestamp': 998640000.000003}),\n",
       " ('14', '3195', {'outcome': 1, 'timestamp': 998640000.000003}),\n",
       " ('14', '519', {'outcome': 0, 'timestamp': 998640000.000003}),\n",
       " ('14', '500', {'outcome': 0, 'timestamp': 998640000.000003}),\n",
       " ('14', '838', {'outcome': 0, 'timestamp': 998640000.000003}),\n",
       " ('14', '238', {'outcome': 0, 'timestamp': 1001268000.0}),\n",
       " ('14', '574', {'outcome': 0, 'timestamp': 1001268000.0}),\n",
       " ('14', '828', {'outcome': 1, 'timestamp': 1011780000.0}),\n",
       " ('14', '251', {'outcome': 0, 'timestamp': 1017036000.0}),\n",
       " ('14', '510', {'outcome': 0, 'timestamp': 1017036000.0}),\n",
       " ('14', '412', {'outcome': 1, 'timestamp': 1019664000.0}),\n",
       " ('14', '228', {'outcome': 0, 'timestamp': 1032804000.0}),\n",
       " ('14', '259', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('14', '132', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('14', '586', {'outcome': 0, 'timestamp': 1069596000.0}),\n",
       " ('14', '561', {'outcome': 0, 'timestamp': 1074852000.0}),\n",
       " ('14', '2836', {'outcome': -1, 'timestamp': 1080108000.0}),\n",
       " ('14', '684', {'outcome': 0, 'timestamp': 1093248000.0}),\n",
       " ('14', '36', {'outcome': 0, 'timestamp': 1095876000.0}),\n",
       " ('14', '1430', {'outcome': 1, 'timestamp': 1095876000.0}),\n",
       " ('14', '3990', {'outcome': 1, 'timestamp': 1106388000.0}),\n",
       " ('14', '387', {'outcome': 0, 'timestamp': 1106388000.0}),\n",
       " ('14', '3326', {'outcome': 1, 'timestamp': 1106388000.0}),\n",
       " ('14', '3326', {'outcome': 0, 'timestamp': 1111644000.0}),\n",
       " ('14', '1169', {'outcome': 0, 'timestamp': 1111644000.0}),\n",
       " ('14', '421', {'outcome': 0, 'timestamp': 1114272000.0}),\n",
       " ('14', '1925', {'outcome': 0, 'timestamp': 1122156000.0}),\n",
       " ('14', '3124', {'outcome': 0, 'timestamp': 1122156000.0}),\n",
       " ('14', '983', {'outcome': -1, 'timestamp': 1122156000.0}),\n",
       " ('14', '2714', {'outcome': 0, 'timestamp': 1130040000.0}),\n",
       " ('14', '414', {'outcome': 0, 'timestamp': 1137924000.0}),\n",
       " ('14', '414', {'outcome': 1, 'timestamp': 1143180000.0}),\n",
       " ('14', '139', {'outcome': 1, 'timestamp': 1137924000.0}),\n",
       " ('14', '3989', {'outcome': 0, 'timestamp': 1137924000.0}),\n",
       " ('14', '1566', {'outcome': 1, 'timestamp': 1143180000.0}),\n",
       " ('14', '1244', {'outcome': 1, 'timestamp': 1143180000.0}),\n",
       " ('14', '3077', {'outcome': 1, 'timestamp': 1143180000.0}),\n",
       " ('14', '3406', {'outcome': 1, 'timestamp': 1143180000.0}),\n",
       " ('14', '621', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('14', '64', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('14', '1294', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('15', '16', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('15', '1266', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('15', '1267', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('15', '197', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('15', '254', {'outcome': -1, 'timestamp': 917171999.999997}),\n",
       " ('15', '256', {'outcome': -1, 'timestamp': 917171999.999997}),\n",
       " ('15', '2710', {'outcome': 1, 'timestamp': 948707999.999997}),\n",
       " ('15', '104', {'outcome': -1, 'timestamp': 948707999.999997}),\n",
       " ('15', '2371', {'outcome': 0, 'timestamp': 988127999.999997}),\n",
       " ('15', '3145', {'outcome': -1, 'timestamp': 988127999.999997}),\n",
       " ('15', '3150', {'outcome': -1, 'timestamp': 1127412000.0}),\n",
       " ('15', '5176', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('15', '921', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('15', '5177', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('15', '6814', {'outcome': -1, 'timestamp': 1140552000.0}),\n",
       " ('17', '18', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('17', '300', {'outcome': 0, 'timestamp': 888264000.000003}),\n",
       " ('17', '300', {'outcome': 0, 'timestamp': 919800000.000003}),\n",
       " ('17', '301', {'outcome': -1, 'timestamp': 888264000.000003}),\n",
       " ('17', '302', {'outcome': -1, 'timestamp': 888264000.000003}),\n",
       " ('17', '335', {'outcome': 1, 'timestamp': 919800000.000003}),\n",
       " ('17', '335', {'outcome': 1, 'timestamp': 1090620000.0}),\n",
       " ('17', '649', {'outcome': 0, 'timestamp': 919800000.000003}),\n",
       " ('17', '1221', {'outcome': 0, 'timestamp': 919800000.000003}),\n",
       " ('17', '1221', {'outcome': 1, 'timestamp': 951336000.000003}),\n",
       " ('17', '157', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('17', '158', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('17', '752', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('17', '774', {'outcome': -1, 'timestamp': 935568000.000003}),\n",
       " ('17', '2460', {'outcome': 1, 'timestamp': 938196000.0}),\n",
       " ('17', '260', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('17', '1103', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('17', '1466', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('17', '2737', {'outcome': 1, 'timestamp': 951336000.000003}),\n",
       " ('17', '334', {'outcome': -1, 'timestamp': 964475999.999997}),\n",
       " ('17', '334', {'outcome': 1, 'timestamp': 1064340000.0}),\n",
       " ('17', '186', {'outcome': 0, 'timestamp': 964475999.999997}),\n",
       " ('17', '155', {'outcome': 1, 'timestamp': 977616000.0}),\n",
       " ('17', '700', {'outcome': 1, 'timestamp': 996011999.999997}),\n",
       " ('17', '739', {'outcome': 0, 'timestamp': 996011999.999997}),\n",
       " ('17', '3262', {'outcome': -1, 'timestamp': 996011999.999997}),\n",
       " ('17', '92', {'outcome': 0, 'timestamp': 1001268000.0}),\n",
       " ('17', '1623', {'outcome': 1, 'timestamp': 1001268000.0}),\n",
       " ('17', '42', {'outcome': 0, 'timestamp': 1003896000.0}),\n",
       " ('17', '1160', {'outcome': 1, 'timestamp': 1003896000.0}),\n",
       " ('17', '2574', {'outcome': -1, 'timestamp': 1009152000.0}),\n",
       " ('17', '2170', {'outcome': -1, 'timestamp': 1009152000.0}),\n",
       " ('17', '74', {'outcome': 1, 'timestamp': 1009152000.0}),\n",
       " ('17', '1108', {'outcome': 0, 'timestamp': 1014408000.0}),\n",
       " ('17', '447', {'outcome': 0, 'timestamp': 1019664000.0}),\n",
       " ('17', '1548', {'outcome': -1, 'timestamp': 1019664000.0}),\n",
       " ('17', '2496', {'outcome': 0, 'timestamp': 1024920000.0}),\n",
       " ('17', '3577', {'outcome': 1, 'timestamp': 1024920000.0}),\n",
       " ('17', '2319', {'outcome': -1, 'timestamp': 1024920000.0}),\n",
       " ('17', '352', {'outcome': -1, 'timestamp': 1030176000.0}),\n",
       " ('17', '2984', {'outcome': 1, 'timestamp': 1030176000.0}),\n",
       " ('17', '573', {'outcome': 0, 'timestamp': 1030176000.0}),\n",
       " ('17', '228', {'outcome': 1, 'timestamp': 1030176000.0}),\n",
       " ('17', '164', {'outcome': -1, 'timestamp': 1040688000.0}),\n",
       " ('17', '449', {'outcome': 0, 'timestamp': 1053828000.0}),\n",
       " ('17', '4244', {'outcome': 1, 'timestamp': 1072224000.0}),\n",
       " ('17', '2667', {'outcome': 1, 'timestamp': 1072224000.0}),\n",
       " ('17', '720', {'outcome': -1, 'timestamp': 1072224000.0}),\n",
       " ('17', '3137', {'outcome': 1, 'timestamp': 1072224000.0}),\n",
       " ('17', '4173', {'outcome': 1, 'timestamp': 1090620000.0}),\n",
       " ('17', '165', {'outcome': 1, 'timestamp': 1090620000.0}),\n",
       " ('17', '327', {'outcome': 0, 'timestamp': 1090620000.0}),\n",
       " ('17', '53', {'outcome': -1, 'timestamp': 1103760000.0}),\n",
       " ('17', '939', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('17', '2105', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('17', '3934', {'outcome': -1, 'timestamp': 1137924000.0}),\n",
       " ('17', '3189', {'outcome': -1, 'timestamp': 1137924000.0}),\n",
       " ('18', '170', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('18', '49', {'outcome': -1, 'timestamp': 898776000.0}),\n",
       " ('18', '49', {'outcome': -1, 'timestamp': 938196000.0}),\n",
       " ('18', '48', {'outcome': -1, 'timestamp': 898776000.0}),\n",
       " ('18', '1120', {'outcome': 1, 'timestamp': 932939999.999997}),\n",
       " ('18', '1055', {'outcome': -1, 'timestamp': 932939999.999997}),\n",
       " ('18', '2289', {'outcome': -1, 'timestamp': 932939999.999997}),\n",
       " ('18', '1283', {'outcome': 0, 'timestamp': 938196000.0}),\n",
       " ('18', '1522', {'outcome': 0, 'timestamp': 938196000.0}),\n",
       " ('18', '2537', {'outcome': 1, 'timestamp': 938196000.0}),\n",
       " ('18', '2458', {'outcome': 1, 'timestamp': 969732000.0}),\n",
       " ('18', '723', {'outcome': 1, 'timestamp': 969732000.0}),\n",
       " ('18', '2576', {'outcome': 1, 'timestamp': 1030176000.0}),\n",
       " ('18', '910', {'outcome': 1, 'timestamp': 1053828000.0}),\n",
       " ('18', '2570', {'outcome': 0, 'timestamp': 1064340000.0}),\n",
       " ('18', '754', {'outcome': 0, 'timestamp': 1064340000.0}),\n",
       " ('18', '3520', {'outcome': 0, 'timestamp': 1064340000.0}),\n",
       " ('18', '2468', {'outcome': -1, 'timestamp': 1095876000.0}),\n",
       " ('18', '2765', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('18', '3201', {'outcome': 0, 'timestamp': 1101132000.0}),\n",
       " ('18', '1942', {'outcome': 1, 'timestamp': 1114272000.0}),\n",
       " ('18', '1942', {'outcome': -1, 'timestamp': 1140552000.0}),\n",
       " ('18', '5580', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('18', '115', {'outcome': 1, 'timestamp': 1145808000.0}),\n",
       " ('18', '3785', {'outcome': -1, 'timestamp': 1145808000.0}),\n",
       " ('18', '197', {'outcome': -1, 'timestamp': 1145808000.0}),\n",
       " ('19', '7', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('19', '8', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('19', '20', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('19', '21', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('19', '22', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('19', '61', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('19', '2900', {'outcome': 0, 'timestamp': 974988000.000003}),\n",
       " ('19', '153', {'outcome': 0, 'timestamp': 974988000.000003}),\n",
       " ('19', '2249', {'outcome': 0, 'timestamp': 1114272000.0}),\n",
       " ('19', '156', {'outcome': 1, 'timestamp': 1137924000.0}),\n",
       " ('19', '220', {'outcome': 0, 'timestamp': 1137924000.0}),\n",
       " ('19', '1820', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('19', '66', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('19', '197', {'outcome': 1, 'timestamp': 1145808000.0}),\n",
       " ('20', '156', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('20', '167', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('20', '184', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('20', '147', {'outcome': -1, 'timestamp': 1103760000.0}),\n",
       " ('20', '4540', {'outcome': -1, 'timestamp': 1137924000.0}),\n",
       " ('20', '6012', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('21', '115', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('21', '129', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('21', '531', {'outcome': 1, 'timestamp': 890892000.0}),\n",
       " ('21', '102', {'outcome': 1, 'timestamp': 890892000.0}),\n",
       " ('21', '366', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('21', '851', {'outcome': 0, 'timestamp': 896148000.000003}),\n",
       " ('21', '344', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('21', '279', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('21', '999', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('21', '142', {'outcome': 1, 'timestamp': 904032000.000003}),\n",
       " ('21', '503', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('21', '257', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('21', '257', {'outcome': 0, 'timestamp': 1011780000.0}),\n",
       " ('21', '545', {'outcome': 0, 'timestamp': 935568000.000003}),\n",
       " ('21', '640', {'outcome': -1, 'timestamp': 935568000.000003}),\n",
       " ('21', '1177', {'outcome': 0, 'timestamp': 946080000.0}),\n",
       " ('21', '1108', {'outcome': 0, 'timestamp': 1011780000.0}),\n",
       " ('21', '1820', {'outcome': 0, 'timestamp': 1019664000.0}),\n",
       " ('21', '720', {'outcome': 0, 'timestamp': 1019664000.0}),\n",
       " ('21', '696', {'outcome': 0, 'timestamp': 1027548000.0}),\n",
       " ('21', '2041', {'outcome': 1, 'timestamp': 1027548000.0}),\n",
       " ('21', '281', {'outcome': 0, 'timestamp': 1027548000.0}),\n",
       " ('21', '4284', {'outcome': 1, 'timestamp': 1103760000.0}),\n",
       " ('21', '725', {'outcome': 0, 'timestamp': 1103760000.0}),\n",
       " ('21', '56', {'outcome': 1, 'timestamp': 1103760000.0}),\n",
       " ('21', '4753', {'outcome': 1, 'timestamp': 1111644000.0}),\n",
       " ('21', '2476', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('21', '2317', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('21', '1428', {'outcome': 1, 'timestamp': 1137924000.0}),\n",
       " ('21', '153', {'outcome': 1, 'timestamp': 1137924000.0}),\n",
       " ('21', '3849', {'outcome': 0, 'timestamp': 1137924000.0}),\n",
       " ('21', '4686', {'outcome': 1, 'timestamp': 1140552000.0}),\n",
       " ('21', '4712', {'outcome': 1, 'timestamp': 1140552000.0}),\n",
       " ('21', '2796', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('21', '3530', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('21', '2676', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('21', '246', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('22', '20', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('22', '217', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('23', '1', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('23', '2', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('23', '3', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('23', '1439', {'outcome': -1, 'timestamp': 922428000.0}),\n",
       " ('23', '1439', {'outcome': -1, 'timestamp': 993384000.0}),\n",
       " ('23', '1439', {'outcome': 1, 'timestamp': 1064340000.0}),\n",
       " ('23', '2008', {'outcome': 1, 'timestamp': 922428000.0}),\n",
       " ('23', '2008', {'outcome': 0, 'timestamp': 993384000.0}),\n",
       " ('23', '2008', {'outcome': 1, 'timestamp': 1064340000.0}),\n",
       " ('23', '172', {'outcome': -1, 'timestamp': 922428000.0}),\n",
       " ('23', '172', {'outcome': 0, 'timestamp': 993384000.0}),\n",
       " ('23', '90', {'outcome': 0, 'timestamp': 922428000.0}),\n",
       " ('23', '90', {'outcome': 0, 'timestamp': 1064340000.0}),\n",
       " ('23', '952', {'outcome': 0, 'timestamp': 922428000.0}),\n",
       " ('23', '352', {'outcome': -1, 'timestamp': 993384000.0}),\n",
       " ('23', '2718', {'outcome': 1, 'timestamp': 1011780000.0}),\n",
       " ('23', '165', {'outcome': -1, 'timestamp': 1048572000.0}),\n",
       " ('23', '605', {'outcome': 1, 'timestamp': 1048572000.0}),\n",
       " ('23', '2057', {'outcome': 1, 'timestamp': 1122156000.0}),\n",
       " ('23', '3473', {'outcome': 1, 'timestamp': 1122156000.0}),\n",
       " ('23', '4867', {'outcome': 1, 'timestamp': 1122156000.0}),\n",
       " ('23', '4078', {'outcome': 1, 'timestamp': 1137924000.0}),\n",
       " ('23', '232', {'outcome': -1, 'timestamp': 1137924000.0}),\n",
       " ('24', '25', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('24', '890', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('24', '142', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('24', '21', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('24', '1314', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('24', '222', {'outcome': -1, 'timestamp': 911916000.000003}),\n",
       " ('24', '372', {'outcome': 0, 'timestamp': 911916000.000003}),\n",
       " ('24', '1118', {'outcome': 0, 'timestamp': 914544000.0}),\n",
       " ('24', '2009', {'outcome': 1, 'timestamp': 922428000.0}),\n",
       " ('24', '733', {'outcome': 1, 'timestamp': 922428000.0}),\n",
       " ('24', '462', {'outcome': -1, 'timestamp': 922428000.0}),\n",
       " ('24', '1882', {'outcome': 0, 'timestamp': 938196000.0}),\n",
       " ('24', '1025', {'outcome': 0, 'timestamp': 969732000.0}),\n",
       " ('24', '160', {'outcome': -1, 'timestamp': 1003896000.0}),\n",
       " ('24', '242', {'outcome': -1, 'timestamp': 1003896000.0}),\n",
       " ('24', '1281', {'outcome': 1, 'timestamp': 1035432000.0}),\n",
       " ('24', '1578', {'outcome': 0, 'timestamp': 1035432000.0}),\n",
       " ('24', '3290', {'outcome': 1, 'timestamp': 1038060000.0}),\n",
       " ('24', '2957', {'outcome': 1, 'timestamp': 1040688000.0}),\n",
       " ('24', '710', {'outcome': -1, 'timestamp': 1098504000.0}),\n",
       " ('24', '1636', {'outcome': -1, 'timestamp': 1098504000.0}),\n",
       " ('24', '2959', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('24', '1652', {'outcome': 0, 'timestamp': 1130040000.0}),\n",
       " ('24', '849', {'outcome': 0, 'timestamp': 1130040000.0}),\n",
       " ('24', '364', {'outcome': 1, 'timestamp': 1130040000.0}),\n",
       " ('24', '2840', {'outcome': 1, 'timestamp': 1140552000.0}),\n",
       " ('24', '3814', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('24', '2614', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('24', '3150', {'outcome': 1, 'timestamp': 1145808000.0}),\n",
       " ('24', '204', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('25', '30', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('25', '93', {'outcome': -1, 'timestamp': 898776000.0}),\n",
       " ('25', '922', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('25', '316', {'outcome': -1, 'timestamp': 898776000.0}),\n",
       " ('25', '910', {'outcome': 1, 'timestamp': 930312000.0}),\n",
       " ('25', '315', {'outcome': 0, 'timestamp': 930312000.0}),\n",
       " ('25', '2268', {'outcome': 1, 'timestamp': 930312000.0}),\n",
       " ('25', '172', {'outcome': 1, 'timestamp': 1011780000.0}),\n",
       " ('25', '90', {'outcome': -1, 'timestamp': 1011780000.0}),\n",
       " ('25', '2416', {'outcome': 0, 'timestamp': 1011780000.0}),\n",
       " ('25', '115', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('25', '115', {'outcome': -1, 'timestamp': 1069596000.0}),\n",
       " ('25', '2681', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('25', '4018', {'outcome': 0, 'timestamp': 1053828000.0}),\n",
       " ('25', '2990', {'outcome': 1, 'timestamp': 1053828000.0}),\n",
       " ('25', '184', {'outcome': 0, 'timestamp': 1069596000.0}),\n",
       " ('25', '1125', {'outcome': -1, 'timestamp': 1093248000.0}),\n",
       " ('25', '1719', {'outcome': -1, 'timestamp': 1103760000.0}),\n",
       " ('25', '132', {'outcome': 0, 'timestamp': 1103760000.0}),\n",
       " ('25', '3743', {'outcome': 1, 'timestamp': 1106388000.0}),\n",
       " ('25', '268', {'outcome': 0, 'timestamp': 1106388000.0}),\n",
       " ('25', '215', {'outcome': 1, 'timestamp': 1122156000.0}),\n",
       " ('25', '4924', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('25', '4215', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('25', '3747', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('25', '6059', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('25', '5522', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('25', '1957', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('25', '1851', {'outcome': 1, 'timestamp': 1135296000.0}),\n",
       " ('25', '2673', {'outcome': -1, 'timestamp': 1135296000.0}),\n",
       " ('25', '4333', {'outcome': -1, 'timestamp': 1135296000.0}),\n",
       " ('25', '6424', {'outcome': 1, 'timestamp': 1137924000.0}),\n",
       " ('25', '1177', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('25', '48', {'outcome': 1, 'timestamp': 1140552000.0}),\n",
       " ('25', '2152', {'outcome': 0, 'timestamp': 1143180000.0}),\n",
       " ('26', '27', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('27', '222', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('27', '107', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('28', '29', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('28', '411', {'outcome': -1, 'timestamp': 890892000.0}),\n",
       " ('28', '74', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('28', '261', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('28', '190', {'outcome': 0, 'timestamp': 890892000.0}),\n",
       " ('28', '412', {'outcome': 1, 'timestamp': 890892000.0}),\n",
       " ('28', '412', {'outcome': -1, 'timestamp': 1085364000.0}),\n",
       " ('28', '56', {'outcome': -1, 'timestamp': 890892000.0}),\n",
       " ('28', '891', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('28', '174', {'outcome': 1, 'timestamp': 917171999.999997}),\n",
       " ('28', '517', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('28', '182', {'outcome': -1, 'timestamp': 917171999.999997}),\n",
       " ('28', '897', {'outcome': -1, 'timestamp': 998640000.000003}),\n",
       " ('28', '53', {'outcome': -1, 'timestamp': 998640000.000003}),\n",
       " ('28', '2995', {'outcome': 1, 'timestamp': 1017036000.0}),\n",
       " ('28', '2837', {'outcome': 1, 'timestamp': 1017036000.0}),\n",
       " ('28', '2805', {'outcome': 0, 'timestamp': 1085364000.0}),\n",
       " ('28', '432', {'outcome': 0, 'timestamp': 1137924000.0}),\n",
       " ('29', '131', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('29', '77', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('30', '31', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('30', '651', {'outcome': 0, 'timestamp': 893519999.999997}),\n",
       " ('30', '653', {'outcome': 0, 'timestamp': 893519999.999997}),\n",
       " ('30', '653', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('30', '653', {'outcome': 0, 'timestamp': 1098504000.0}),\n",
       " ('30', '653', {'outcome': 0, 'timestamp': 1114272000.0}),\n",
       " ('30', '653', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('30', '654', {'outcome': 0, 'timestamp': 893519999.999997}),\n",
       " ('30', '654', {'outcome': 0, 'timestamp': 925055999.999997}),\n",
       " ('30', '654', {'outcome': 0, 'timestamp': 1051200000.0}),\n",
       " ('30', '654', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('30', '256', {'outcome': 0, 'timestamp': 893519999.999997}),\n",
       " ('30', '54', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('30', '483', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('30', '502', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('30', '573', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('30', '232', {'outcome': 0, 'timestamp': 925055999.999997}),\n",
       " ('30', '2749', {'outcome': 1, 'timestamp': 951336000.000003}),\n",
       " ('30', '1963', {'outcome': 0, 'timestamp': 961848000.0}),\n",
       " ('30', '3519', {'outcome': 1, 'timestamp': 1011780000.0}),\n",
       " ('30', '21', {'outcome': 0, 'timestamp': 1011780000.0}),\n",
       " ('30', '3565', {'outcome': 0, 'timestamp': 1019664000.0}),\n",
       " ('30', '662', {'outcome': 0, 'timestamp': 1019664000.0}),\n",
       " ('30', '1366', {'outcome': 0, 'timestamp': 1019664000.0}),\n",
       " ('30', '663', {'outcome': 1, 'timestamp': 1019664000.0}),\n",
       " ('30', '663', {'outcome': 1, 'timestamp': 1048572000.0}),\n",
       " ('30', '227', {'outcome': 0, 'timestamp': 1032804000.0}),\n",
       " ('30', '952', {'outcome': 0, 'timestamp': 1032804000.0}),\n",
       " ('30', '449', {'outcome': -1, 'timestamp': 1032804000.0}),\n",
       " ('30', '3023', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('30', '1857', {'outcome': 1, 'timestamp': 1038060000.0}),\n",
       " ('30', '3154', {'outcome': 1, 'timestamp': 1048572000.0}),\n",
       " ('30', '2823', {'outcome': 1, 'timestamp': 1048572000.0}),\n",
       " ('30', '643', {'outcome': -1, 'timestamp': 1059084000.0}),\n",
       " ('30', '1677', {'outcome': 0, 'timestamp': 1059084000.0}),\n",
       " ('30', '3989', {'outcome': -1, 'timestamp': 1066968000.0}),\n",
       " ('30', '421', {'outcome': 1, 'timestamp': 1066968000.0}),\n",
       " ('30', '2090', {'outcome': 0, 'timestamp': 1069596000.0}),\n",
       " ('30', '2090', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('30', '330', {'outcome': 0, 'timestamp': 1069596000.0}),\n",
       " ('30', '674', {'outcome': 1, 'timestamp': 1074852000.0}),\n",
       " ('30', '789', {'outcome': 0, 'timestamp': 1098504000.0}),\n",
       " ('30', '789', {'outcome': -1, 'timestamp': 1114272000.0}),\n",
       " ('30', '3463', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('30', '3463', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('30', '874', {'outcome': 1, 'timestamp': 1101132000.0}),\n",
       " ('30', '4553', {'outcome': 1, 'timestamp': 1103760000.0}),\n",
       " ('30', '655', {'outcome': 0, 'timestamp': 1103760000.0}),\n",
       " ('30', '4569', {'outcome': 0, 'timestamp': 1103760000.0}),\n",
       " ('30', '3762', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('30', '3457', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('30', '1859', {'outcome': 1, 'timestamp': 1140552000.0}),\n",
       " ('30', '2796', {'outcome': -1, 'timestamp': 1145808000.0}),\n",
       " ('30', '272', {'outcome': 0, 'timestamp': 1145808000.0}),\n",
       " ('31', '1131', {'outcome': 0, 'timestamp': 914544000.0}),\n",
       " ('31', '1728', {'outcome': 0, 'timestamp': 914544000.0}),\n",
       " ('31', '333', {'outcome': -1, 'timestamp': 917171999.999997}),\n",
       " ('31', '1933', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('31', '252', {'outcome': -1, 'timestamp': 953964000.0}),\n",
       " ('31', '330', {'outcome': -1, 'timestamp': 953964000.0}),\n",
       " ('31', '239', {'outcome': -1, 'timestamp': 953964000.0}),\n",
       " ('31', '2988', {'outcome': 0, 'timestamp': 972359999.999997}),\n",
       " ('31', '2009', {'outcome': 1, 'timestamp': 972359999.999997}),\n",
       " ('31', '2990', {'outcome': 1, 'timestamp': 972359999.999997}),\n",
       " ('31', '1081', {'outcome': 1, 'timestamp': 1124784000.0}),\n",
       " ('32', '33', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('32', '34', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('32', '35', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('32', '36', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('32', '37', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('32', '884', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('32', '897', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('32', '898', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('32', '898', {'outcome': 0, 'timestamp': 1056456000.0}),\n",
       " ('32', '468', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('32', '899', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('32', '172', {'outcome': -1, 'timestamp': 906660000.0}),\n",
       " ('32', '61', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('32', '164', {'outcome': -1, 'timestamp': 906660000.0}),\n",
       " ('32', '1357', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('32', '922', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('32', '276', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('32', '803', {'outcome': 1, 'timestamp': 927684000.000003}),\n",
       " ('32', '803', {'outcome': 0, 'timestamp': 1116900000.0}),\n",
       " ('32', '483', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('32', '440', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('32', '886', {'outcome': 0, 'timestamp': 927684000.000003}),\n",
       " ('32', '886', {'outcome': 1, 'timestamp': 930312000.0}),\n",
       " ('32', '676', {'outcome': 1, 'timestamp': 927684000.000003}),\n",
       " ('32', '997', {'outcome': 0, 'timestamp': 969732000.0}),\n",
       " ('32', '88', {'outcome': 0, 'timestamp': 977616000.0}),\n",
       " ('32', '2184', {'outcome': 1, 'timestamp': 993384000.0}),\n",
       " ('32', '3225', {'outcome': 0, 'timestamp': 993384000.0}),\n",
       " ('32', '2269', {'outcome': 1, 'timestamp': 993384000.0}),\n",
       " ('32', '401', {'outcome': 1, 'timestamp': 1003896000.0}),\n",
       " ('32', '960', {'outcome': 0, 'timestamp': 1003896000.0}),\n",
       " ('32', '2079', {'outcome': 0, 'timestamp': 1009152000.0}),\n",
       " ('32', '1557', {'outcome': 0, 'timestamp': 1009152000.0}),\n",
       " ('32', '2230', {'outcome': 1, 'timestamp': 1014408000.0}),\n",
       " ('32', '320', {'outcome': 0, 'timestamp': 1014408000.0}),\n",
       " ('32', '1862', {'outcome': -1, 'timestamp': 1014408000.0}),\n",
       " ('32', '2594', {'outcome': -1, 'timestamp': 1027548000.0}),\n",
       " ('32', '1134', {'outcome': 0, 'timestamp': 1027548000.0}),\n",
       " ('32', '641', {'outcome': -1, 'timestamp': 1027548000.0}),\n",
       " ('32', '1099', {'outcome': 0, 'timestamp': 1030176000.0}),\n",
       " ('32', '3853', {'outcome': 1, 'timestamp': 1035432000.0}),\n",
       " ('32', '2986', {'outcome': 0, 'timestamp': 1040688000.0}),\n",
       " ('32', '471', {'outcome': 1, 'timestamp': 1040688000.0}),\n",
       " ('32', '3194', {'outcome': 1, 'timestamp': 1040688000.0}),\n",
       " ('32', '1466', {'outcome': 0, 'timestamp': 1040688000.0}),\n",
       " ('32', '3679', {'outcome': 0, 'timestamp': 1056456000.0}),\n",
       " ('32', '834', {'outcome': 1, 'timestamp': 1056456000.0}),\n",
       " ('32', '496', {'outcome': -1, 'timestamp': 1056456000.0}),\n",
       " ('32', '496', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('32', '4214', {'outcome': 1, 'timestamp': 1066968000.0}),\n",
       " ('32', '3924', {'outcome': 1, 'timestamp': 1072224000.0}),\n",
       " ('32', '2667', {'outcome': 1, 'timestamp': 1072224000.0}),\n",
       " ('32', '670', {'outcome': 1, 'timestamp': 1087992000.0}),\n",
       " ('32', '670', {'outcome': 0, 'timestamp': 1124784000.0}),\n",
       " ('32', '3548', {'outcome': 0, 'timestamp': 1087992000.0}),\n",
       " ('32', '1232', {'outcome': 0, 'timestamp': 1087992000.0}),\n",
       " ('32', '98', {'outcome': -1, 'timestamp': 1093248000.0}),\n",
       " ('32', '537', {'outcome': -1, 'timestamp': 1093248000.0}),\n",
       " ('32', '959', {'outcome': 0, 'timestamp': 1093248000.0}),\n",
       " ('32', '4445', {'outcome': 1, 'timestamp': 1095876000.0}),\n",
       " ('32', '4445', {'outcome': 0, 'timestamp': 1119528000.0}),\n",
       " ('32', '3101', {'outcome': -1, 'timestamp': 1103760000.0}),\n",
       " ('32', '188', {'outcome': 0, 'timestamp': 1103760000.0}),\n",
       " ('32', '928', {'outcome': 1, 'timestamp': 1116900000.0}),\n",
       " ('32', '153', {'outcome': 1, 'timestamp': 1119528000.0}),\n",
       " ('32', '259', {'outcome': 0, 'timestamp': 1124784000.0}),\n",
       " ('32', '2131', {'outcome': 1, 'timestamp': 1124784000.0}),\n",
       " ('32', '4368', {'outcome': 1, 'timestamp': 1135296000.0}),\n",
       " ('32', '189', {'outcome': 0, 'timestamp': 1135296000.0}),\n",
       " ('32', '3925', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('32', '3112', {'outcome': 1, 'timestamp': 1140552000.0}),\n",
       " ('32', '4060', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('32', '166', {'outcome': 1, 'timestamp': 1143180000.0}),\n",
       " ('33', '42', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('33', '43', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('33', '773', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('33', '900', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('33', '901', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('33', '902', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('33', '468', {'outcome': 0, 'timestamp': 904032000.000003}),\n",
       " ('33', '79', {'outcome': 1, 'timestamp': 904032000.000003}),\n",
       " ('33', '200', {'outcome': 0, 'timestamp': 911916000.000003}),\n",
       " ('33', '200', {'outcome': 0, 'timestamp': 1124784000.0}),\n",
       " ('33', '1308', {'outcome': -1, 'timestamp': 911916000.000003}),\n",
       " ('33', '75', {'outcome': 1, 'timestamp': 917171999.999997}),\n",
       " ('33', '922', {'outcome': 1, 'timestamp': 917171999.999997}),\n",
       " ('33', '61', {'outcome': -1, 'timestamp': 917171999.999997}),\n",
       " ('33', '188', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('33', '1194', {'outcome': 0, 'timestamp': 925055999.999997}),\n",
       " ('33', '2061', {'outcome': 1, 'timestamp': 925055999.999997}),\n",
       " ('33', '2067', {'outcome': 0, 'timestamp': 935568000.000003}),\n",
       " ('33', '1608', {'outcome': 1, 'timestamp': 935568000.000003}),\n",
       " ('33', '2380', {'outcome': 1, 'timestamp': 1022292000.0}),\n",
       " ('33', '2380', {'outcome': 1, 'timestamp': 1093248000.0}),\n",
       " ('33', '1099', {'outcome': -1, 'timestamp': 1022292000.0}),\n",
       " ('33', '2003', {'outcome': 1, 'timestamp': 1064340000.0}),\n",
       " ('33', '201', {'outcome': -1, 'timestamp': 1064340000.0}),\n",
       " ('33', '2138', {'outcome': 1, 'timestamp': 1064340000.0}),\n",
       " ('33', '1025', {'outcome': -1, 'timestamp': 1093248000.0}),\n",
       " ('33', '1796', {'outcome': 1, 'timestamp': 1093248000.0}),\n",
       " ('33', '3392', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('34', '47', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('34', '48', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('34', '890', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('34', '278', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('34', '1760', {'outcome': 1, 'timestamp': 932939999.999997}),\n",
       " ('34', '1177', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('34', '522', {'outcome': 1, 'timestamp': 948707999.999997}),\n",
       " ('34', '931', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('34', '423', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('34', '64', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('34', '64', {'outcome': 0, 'timestamp': 1132668000.0}),\n",
       " ('34', '256', {'outcome': 0, 'timestamp': 948707999.999997}),\n",
       " ('34', '266', {'outcome': 1, 'timestamp': 961848000.0}),\n",
       " ('34', '266', {'outcome': 1, 'timestamp': 1143180000.0}),\n",
       " ('34', '265', {'outcome': 0, 'timestamp': 961848000.0}),\n",
       " ('34', '1327', {'outcome': 1, 'timestamp': 990756000.000003}),\n",
       " ('34', '965', {'outcome': 1, 'timestamp': 990756000.000003}),\n",
       " ('34', '25', {'outcome': 1, 'timestamp': 1038060000.0}),\n",
       " ('34', '25', {'outcome': 0, 'timestamp': 1101132000.0}),\n",
       " ('34', '234', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('34', '268', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('34', '14', {'outcome': 0, 'timestamp': 1074852000.0}),\n",
       " ('34', '215', {'outcome': 1, 'timestamp': 1122156000.0}),\n",
       " ('34', '1944', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('34', '267', {'outcome': 1, 'timestamp': 1135296000.0}),\n",
       " ('35', '12', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('35', '163', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('35', '2724', {'outcome': 1, 'timestamp': 948707999.999997}),\n",
       " ('35', '2170', {'outcome': 1, 'timestamp': 969732000.0}),\n",
       " ('35', '1809', {'outcome': 0, 'timestamp': 1003896000.0}),\n",
       " ('35', '2930', {'outcome': 1, 'timestamp': 1003896000.0}),\n",
       " ('35', '2317', {'outcome': 0, 'timestamp': 1003896000.0}),\n",
       " ('35', '1675', {'outcome': 1, 'timestamp': 1032804000.0}),\n",
       " ('35', '3799', {'outcome': 1, 'timestamp': 1032804000.0}),\n",
       " ('36', '207', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('36', '207', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('36', '441', {'outcome': 0, 'timestamp': 893519999.999997}),\n",
       " ('36', '188', {'outcome': -1, 'timestamp': 893519999.999997}),\n",
       " ('36', '775', {'outcome': -1, 'timestamp': 893519999.999997}),\n",
       " ('36', '775', {'outcome': 0, 'timestamp': 1082736000.0}),\n",
       " ('36', '776', {'outcome': 1, 'timestamp': 893519999.999997}),\n",
       " ('36', '24', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('36', '728', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('36', '573', {'outcome': -1, 'timestamp': 898776000.0}),\n",
       " ('36', '573', {'outcome': 0, 'timestamp': 988127999.999997}),\n",
       " ('36', '919', {'outcome': 1, 'timestamp': 898776000.0}),\n",
       " ('36', '579', {'outcome': 0, 'timestamp': 898776000.0}),\n",
       " ('36', '1194', {'outcome': 1, 'timestamp': 904032000.000003}),\n",
       " ('36', '1173', {'outcome': 0, 'timestamp': 904032000.000003}),\n",
       " ('36', '883', {'outcome': 0, 'timestamp': 904032000.000003}),\n",
       " ('36', '686', {'outcome': 0, 'timestamp': 906660000.0}),\n",
       " ('36', '1658', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('36', '1526', {'outcome': 1, 'timestamp': 906660000.0}),\n",
       " ('36', '163', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('36', '956', {'outcome': 0, 'timestamp': 917171999.999997}),\n",
       " ('36', '201', {'outcome': 0, 'timestamp': 940823999.999997}),\n",
       " ('36', '1327', {'outcome': 0, 'timestamp': 980243999.999997}),\n",
       " ('36', '2598', {'outcome': 0, 'timestamp': 980243999.999997}),\n",
       " ('36', '112', {'outcome': 0, 'timestamp': 988127999.999997}),\n",
       " ('36', '2631', {'outcome': 1, 'timestamp': 988127999.999997}),\n",
       " ('36', '465', {'outcome': 0, 'timestamp': 1001268000.0}),\n",
       " ('36', '237', {'outcome': 1, 'timestamp': 1001268000.0}),\n",
       " ('36', '1827', {'outcome': 0, 'timestamp': 1038060000.0}),\n",
       " ('36', '3456', {'outcome': 1, 'timestamp': 1038060000.0}),\n",
       " ('36', '104', {'outcome': 1, 'timestamp': 1038060000.0}),\n",
       " ('36', '635', {'outcome': 0, 'timestamp': 1043316000.0}),\n",
       " ('36', '902', {'outcome': 0, 'timestamp': 1064340000.0}),\n",
       " ('36', '721', {'outcome': 1, 'timestamp': 1080108000.0}),\n",
       " ('36', '519', {'outcome': -1, 'timestamp': 1080108000.0}),\n",
       " ('36', '3608', {'outcome': 1, 'timestamp': 1080108000.0}),\n",
       " ('36', '287', {'outcome': 1, 'timestamp': 1080108000.0}),\n",
       " ('36', '3926', {'outcome': 0, 'timestamp': 1082736000.0}),\n",
       " ('36', '3448', {'outcome': 1, 'timestamp': 1082736000.0}),\n",
       " ('36', '741', {'outcome': 0, 'timestamp': 1082736000.0}),\n",
       " ('36', '4455', {'outcome': 1, 'timestamp': 1095876000.0}),\n",
       " ('36', '2032', {'outcome': 0, 'timestamp': 1095876000.0}),\n",
       " ('36', '220', {'outcome': 1, 'timestamp': 1106388000.0}),\n",
       " ('36', '1719', {'outcome': 0, 'timestamp': 1106388000.0}),\n",
       " ('36', '259', {'outcome': 0, 'timestamp': 1106388000.0}),\n",
       " ('36', '476', {'outcome': -1, 'timestamp': 1111644000.0}),\n",
       " ('36', '4215', {'outcome': 1, 'timestamp': 1111644000.0}),\n",
       " ('36', '1117', {'outcome': 0, 'timestamp': 1111644000.0}),\n",
       " ('36', '77', {'outcome': 1, 'timestamp': 1114272000.0}),\n",
       " ('36', '89', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('36', '1191', {'outcome': 0, 'timestamp': 1127412000.0}),\n",
       " ('36', '251', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('36', '385', {'outcome': 1, 'timestamp': 1127412000.0}),\n",
       " ('36', '6053', {'outcome': 1, 'timestamp': 1132668000.0}),\n",
       " ('36', '266', {'outcome': 1, 'timestamp': 1137924000.0}),\n",
       " ('36', '6131', {'outcome': 0, 'timestamp': 1137924000.0}),\n",
       " ('36', '41', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('36', '4018', {'outcome': 1, 'timestamp': 1143180000.0}),\n",
       " ('37', '35', {'outcome': 0, 'timestamp': 885635999.999997}),\n",
       " ('37', '1049', {'outcome': 1, 'timestamp': 917171999.999997}),\n",
       " ('37', '275', {'outcome': -1, 'timestamp': 948707999.999997}),\n",
       " ('37', '72', {'outcome': 0, 'timestamp': 1009152000.0}),\n",
       " ('37', '2894', {'outcome': -1, 'timestamp': 1032804000.0}),\n",
       " ('37', '1178', {'outcome': 0, 'timestamp': 1032804000.0}),\n",
       " ('37', '115', {'outcome': 0, 'timestamp': 1090620000.0}),\n",
       " ('37', '12', {'outcome': 1, 'timestamp': 1090620000.0}),\n",
       " ('37', '199', {'outcome': 0, 'timestamp': 1090620000.0}),\n",
       " ('37', '910', {'outcome': 0, 'timestamp': 1122156000.0}),\n",
       " ('37', '257', {'outcome': 0, 'timestamp': 1122156000.0}),\n",
       " ('37', '79', {'outcome': -1, 'timestamp': 1122156000.0}),\n",
       " ('37', '64', {'outcome': -1, 'timestamp': 1122156000.0}),\n",
       " ('37', '4870', {'outcome': 1, 'timestamp': 1137924000.0}),\n",
       " ('37', '5350', {'outcome': 1, 'timestamp': 1137924000.0}),\n",
       " ('37', '3147', {'outcome': 0, 'timestamp': 1140552000.0}),\n",
       " ('37', '458', {'outcome': -1, 'timestamp': 1140552000.0}),\n",
       " ('38', '39', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('38', '40', {'outcome': 1, 'timestamp': 885635999.999997}),\n",
       " ('38', '41', {'outcome': -1, 'timestamp': 885635999.999997}),\n",
       " ('38', '3101', {'outcome': -1, 'timestamp': 985500000.0}),\n",
       " ('38', '84', {'outcome': -1, 'timestamp': 985500000.0}),\n",
       " ('38', '3104', {'outcome': 1, 'timestamp': 985500000.0}),\n",
       " ...]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chess.edges(data=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the degree of each node, we can see how many games each person played. A dictionary is returned where each key is the player, and each value is the number of games played."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'1': 48,\n",
       " '2': 112,\n",
       " '3': 85,\n",
       " '4': 12,\n",
       " '5': 18,\n",
       " '6': 95,\n",
       " '7': 9,\n",
       " '8': 20,\n",
       " '9': 142,\n",
       " '10': 4,\n",
       " '11': 2,\n",
       " '12': 70,\n",
       " '13': 148,\n",
       " '14': 153,\n",
       " '15': 23,\n",
       " '16': 3,\n",
       " '17': 115,\n",
       " '18': 45,\n",
       " '19': 27,\n",
       " '20': 12,\n",
       " '21': 65,\n",
       " '22': 6,\n",
       " '23': 41,\n",
       " '24': 72,\n",
       " '25': 72,\n",
       " '26': 2,\n",
       " '27': 3,\n",
       " '28': 41,\n",
       " '29': 8,\n",
       " '30': 115,\n",
       " '31': 23,\n",
       " '32': 146,\n",
       " '33': 67,\n",
       " '34': 52,\n",
       " '35': 22,\n",
       " '36': 118,\n",
       " '37': 30,\n",
       " '38': 39,\n",
       " '39': 79,\n",
       " '40': 26,\n",
       " '41': 71,\n",
       " '42': 200,\n",
       " '43': 10,\n",
       " '44': 77,\n",
       " '45': 74,\n",
       " '46': 41,\n",
       " '47': 92,\n",
       " '48': 45,\n",
       " '49': 58,\n",
       " '50': 9,\n",
       " '51': 90,\n",
       " '52': 4,\n",
       " '53': 167,\n",
       " '54': 80,\n",
       " '55': 35,\n",
       " '56': 87,\n",
       " '57': 48,\n",
       " '58': 29,\n",
       " '59': 111,\n",
       " '60': 43,\n",
       " '61': 107,\n",
       " '62': 74,\n",
       " '63': 7,\n",
       " '64': 171,\n",
       " '65': 43,\n",
       " '66': 203,\n",
       " '67': 39,\n",
       " '68': 23,\n",
       " '69': 4,\n",
       " '70': 15,\n",
       " '71': 55,\n",
       " '72': 10,\n",
       " '73': 19,\n",
       " '74': 144,\n",
       " '75': 22,\n",
       " '76': 20,\n",
       " '77': 71,\n",
       " '78': 18,\n",
       " '79': 122,\n",
       " '80': 4,\n",
       " '81': 29,\n",
       " '82': 29,\n",
       " '83': 58,\n",
       " '84': 32,\n",
       " '85': 35,\n",
       " '86': 13,\n",
       " '87': 52,\n",
       " '88': 61,\n",
       " '89': 123,\n",
       " '90': 58,\n",
       " '91': 100,\n",
       " '92': 257,\n",
       " '93': 24,\n",
       " '94': 10,\n",
       " '95': 14,\n",
       " '96': 41,\n",
       " '97': 25,\n",
       " '98': 276,\n",
       " '99': 28,\n",
       " '100': 20,\n",
       " '101': 49,\n",
       " '102': 31,\n",
       " '103': 8,\n",
       " '104': 95,\n",
       " '105': 6,\n",
       " '106': 18,\n",
       " '107': 14,\n",
       " '108': 75,\n",
       " '109': 100,\n",
       " '110': 12,\n",
       " '111': 42,\n",
       " '112': 208,\n",
       " '113': 142,\n",
       " '114': 96,\n",
       " '115': 87,\n",
       " '116': 14,\n",
       " '117': 26,\n",
       " '118': 51,\n",
       " '119': 10,\n",
       " '120': 52,\n",
       " '121': 36,\n",
       " '122': 106,\n",
       " '123': 28,\n",
       " '124': 138,\n",
       " '125': 38,\n",
       " '126': 85,\n",
       " '127': 166,\n",
       " '128': 118,\n",
       " '129': 82,\n",
       " '130': 211,\n",
       " '131': 66,\n",
       " '132': 207,\n",
       " '133': 73,\n",
       " '134': 3,\n",
       " '135': 13,\n",
       " '136': 9,\n",
       " '137': 24,\n",
       " '138': 108,\n",
       " '139': 44,\n",
       " '140': 38,\n",
       " '141': 10,\n",
       " '142': 65,\n",
       " '143': 62,\n",
       " '144': 21,\n",
       " '145': 64,\n",
       " '146': 18,\n",
       " '147': 66,\n",
       " '148': 111,\n",
       " '149': 78,\n",
       " '150': 20,\n",
       " '151': 51,\n",
       " '152': 69,\n",
       " '153': 91,\n",
       " '154': 2,\n",
       " '155': 35,\n",
       " '156': 63,\n",
       " '157': 110,\n",
       " '158': 93,\n",
       " '159': 53,\n",
       " '160': 103,\n",
       " '161': 73,\n",
       " '162': 65,\n",
       " '163': 29,\n",
       " '164': 150,\n",
       " '165': 140,\n",
       " '166': 87,\n",
       " '167': 16,\n",
       " '168': 8,\n",
       " '169': 30,\n",
       " '170': 15,\n",
       " '171': 114,\n",
       " '172': 126,\n",
       " '173': 40,\n",
       " '174': 36,\n",
       " '175': 22,\n",
       " '176': 6,\n",
       " '177': 39,\n",
       " '178': 88,\n",
       " '179': 48,\n",
       " '180': 25,\n",
       " '181': 8,\n",
       " '182': 39,\n",
       " '183': 43,\n",
       " '184': 37,\n",
       " '185': 82,\n",
       " '186': 52,\n",
       " '187': 99,\n",
       " '188': 180,\n",
       " '189': 131,\n",
       " '190': 36,\n",
       " '191': 15,\n",
       " '192': 11,\n",
       " '193': 108,\n",
       " '194': 21,\n",
       " '195': 49,\n",
       " '196': 24,\n",
       " '197': 88,\n",
       " '198': 7,\n",
       " '199': 89,\n",
       " '200': 127,\n",
       " '201': 99,\n",
       " '202': 127,\n",
       " '203': 20,\n",
       " '204': 37,\n",
       " '205': 11,\n",
       " '206': 4,\n",
       " '207': 185,\n",
       " '208': 8,\n",
       " '209': 2,\n",
       " '210': 4,\n",
       " '211': 194,\n",
       " '212': 28,\n",
       " '213': 21,\n",
       " '214': 30,\n",
       " '215': 20,\n",
       " '216': 22,\n",
       " '217': 5,\n",
       " '218': 9,\n",
       " '219': 81,\n",
       " '220': 54,\n",
       " '221': 14,\n",
       " '222': 37,\n",
       " '223': 93,\n",
       " '224': 100,\n",
       " '225': 7,\n",
       " '226': 71,\n",
       " '227': 112,\n",
       " '228': 146,\n",
       " '229': 60,\n",
       " '230': 4,\n",
       " '231': 41,\n",
       " '232': 64,\n",
       " '233': 22,\n",
       " '234': 80,\n",
       " '235': 62,\n",
       " '236': 36,\n",
       " '237': 197,\n",
       " '238': 125,\n",
       " '239': 88,\n",
       " '240': 17,\n",
       " '241': 31,\n",
       " '242': 138,\n",
       " '243': 3,\n",
       " '244': 13,\n",
       " '245': 8,\n",
       " '246': 104,\n",
       " '247': 29,\n",
       " '248': 83,\n",
       " '249': 8,\n",
       " '250': 40,\n",
       " '251': 191,\n",
       " '252': 76,\n",
       " '253': 15,\n",
       " '254': 24,\n",
       " '255': 58,\n",
       " '256': 148,\n",
       " '257': 149,\n",
       " '258': 46,\n",
       " '259': 107,\n",
       " '260': 78,\n",
       " '261': 86,\n",
       " '262': 21,\n",
       " '263': 34,\n",
       " '264': 88,\n",
       " '265': 21,\n",
       " '266': 39,\n",
       " '267': 21,\n",
       " '268': 45,\n",
       " '269': 85,\n",
       " '270': 63,\n",
       " '271': 1,\n",
       " '272': 140,\n",
       " '273': 1,\n",
       " '274': 2,\n",
       " '275': 192,\n",
       " '276': 21,\n",
       " '277': 54,\n",
       " '278': 154,\n",
       " '279': 14,\n",
       " '280': 129,\n",
       " '281': 64,\n",
       " '282': 4,\n",
       " '283': 34,\n",
       " '284': 11,\n",
       " '285': 146,\n",
       " '286': 15,\n",
       " '287': 107,\n",
       " '288': 10,\n",
       " '289': 41,\n",
       " '290': 1,\n",
       " '291': 24,\n",
       " '292': 1,\n",
       " '293': 2,\n",
       " '294': 13,\n",
       " '295': 46,\n",
       " '296': 21,\n",
       " '297': 7,\n",
       " '298': 28,\n",
       " '299': 122,\n",
       " '300': 112,\n",
       " '301': 47,\n",
       " '302': 61,\n",
       " '303': 39,\n",
       " '304': 38,\n",
       " '305': 17,\n",
       " '306': 37,\n",
       " '307': 16,\n",
       " '308': 28,\n",
       " '309': 19,\n",
       " '310': 107,\n",
       " '311': 4,\n",
       " '312': 50,\n",
       " '313': 50,\n",
       " '314': 79,\n",
       " '315': 21,\n",
       " '316': 36,\n",
       " '317': 16,\n",
       " '318': 47,\n",
       " '319': 9,\n",
       " '320': 44,\n",
       " '321': 28,\n",
       " '322': 54,\n",
       " '323': 20,\n",
       " '324': 27,\n",
       " '325': 26,\n",
       " '326': 14,\n",
       " '327': 74,\n",
       " '328': 78,\n",
       " '329': 15,\n",
       " '330': 272,\n",
       " '331': 7,\n",
       " '332': 37,\n",
       " '333': 78,\n",
       " '334': 179,\n",
       " '335': 67,\n",
       " '336': 35,\n",
       " '337': 124,\n",
       " '338': 31,\n",
       " '339': 113,\n",
       " '340': 59,\n",
       " '341': 18,\n",
       " '342': 9,\n",
       " '343': 4,\n",
       " '344': 26,\n",
       " '345': 41,\n",
       " '346': 7,\n",
       " '347': 26,\n",
       " '348': 4,\n",
       " '349': 26,\n",
       " '350': 9,\n",
       " '351': 8,\n",
       " '352': 149,\n",
       " '353': 26,\n",
       " '354': 37,\n",
       " '355': 55,\n",
       " '356': 42,\n",
       " '357': 119,\n",
       " '358': 45,\n",
       " '359': 13,\n",
       " '360': 66,\n",
       " '361': 9,\n",
       " '362': 64,\n",
       " '363': 16,\n",
       " '364': 51,\n",
       " '365': 20,\n",
       " '366': 57,\n",
       " '367': 9,\n",
       " '368': 2,\n",
       " '369': 23,\n",
       " '370': 26,\n",
       " '371': 258,\n",
       " '372': 72,\n",
       " '373': 67,\n",
       " '374': 6,\n",
       " '375': 39,\n",
       " '376': 75,\n",
       " '377': 2,\n",
       " '378': 7,\n",
       " '379': 3,\n",
       " '380': 4,\n",
       " '381': 9,\n",
       " '382': 9,\n",
       " '383': 152,\n",
       " '384': 70,\n",
       " '385': 113,\n",
       " '386': 2,\n",
       " '387': 187,\n",
       " '388': 23,\n",
       " '389': 5,\n",
       " '390': 5,\n",
       " '391': 9,\n",
       " '392': 59,\n",
       " '393': 130,\n",
       " '394': 42,\n",
       " '395': 35,\n",
       " '396': 86,\n",
       " '397': 17,\n",
       " '398': 23,\n",
       " '399': 52,\n",
       " '400': 180,\n",
       " '401': 17,\n",
       " '402': 18,\n",
       " '403': 38,\n",
       " '404': 11,\n",
       " '405': 13,\n",
       " '406': 3,\n",
       " '407': 29,\n",
       " '408': 42,\n",
       " '409': 45,\n",
       " '410': 9,\n",
       " '411': 9,\n",
       " '412': 141,\n",
       " '413': 6,\n",
       " '414': 92,\n",
       " '415': 34,\n",
       " '416': 95,\n",
       " '417': 4,\n",
       " '418': 78,\n",
       " '419': 26,\n",
       " '420': 3,\n",
       " '421': 150,\n",
       " '422': 3,\n",
       " '423': 92,\n",
       " '424': 10,\n",
       " '425': 21,\n",
       " '426': 17,\n",
       " '427': 4,\n",
       " '428': 4,\n",
       " '429': 9,\n",
       " '430': 10,\n",
       " '431': 8,\n",
       " '432': 46,\n",
       " '433': 23,\n",
       " '434': 3,\n",
       " '435': 69,\n",
       " '436': 117,\n",
       " '437': 12,\n",
       " '438': 4,\n",
       " '439': 88,\n",
       " '440': 171,\n",
       " '441': 46,\n",
       " '442': 14,\n",
       " '443': 83,\n",
       " '444': 78,\n",
       " '445': 62,\n",
       " '446': 112,\n",
       " '447': 201,\n",
       " '448': 116,\n",
       " '449': 126,\n",
       " '450': 30,\n",
       " '451': 125,\n",
       " '452': 96,\n",
       " '453': 94,\n",
       " '454': 22,\n",
       " '455': 252,\n",
       " '456': 221,\n",
       " '457': 45,\n",
       " '458': 54,\n",
       " '459': 62,\n",
       " '460': 76,\n",
       " '461': 280,\n",
       " '462': 196,\n",
       " '463': 45,\n",
       " '464': 24,\n",
       " '465': 161,\n",
       " '466': 96,\n",
       " '467': 270,\n",
       " '468': 130,\n",
       " '469': 6,\n",
       " '470': 15,\n",
       " '471': 61,\n",
       " '472': 22,\n",
       " '473': 59,\n",
       " '474': 4,\n",
       " '475': 26,\n",
       " '476': 113,\n",
       " '477': 87,\n",
       " '478': 21,\n",
       " '479': 26,\n",
       " '480': 58,\n",
       " '481': 30,\n",
       " '482': 121,\n",
       " '483': 92,\n",
       " '484': 23,\n",
       " '485': 66,\n",
       " '486': 42,\n",
       " '487': 132,\n",
       " '488': 46,\n",
       " '489': 3,\n",
       " '490': 15,\n",
       " '491': 42,\n",
       " '492': 48,\n",
       " '493': 16,\n",
       " '494': 23,\n",
       " '495': 38,\n",
       " '496': 136,\n",
       " '497': 112,\n",
       " '498': 17,\n",
       " '499': 61,\n",
       " '500': 148,\n",
       " '501': 8,\n",
       " '502': 64,\n",
       " '503': 96,\n",
       " '504': 25,\n",
       " '505': 18,\n",
       " '506': 2,\n",
       " '507': 68,\n",
       " '508': 97,\n",
       " '509': 17,\n",
       " '510': 131,\n",
       " '511': 28,\n",
       " '512': 4,\n",
       " '513': 31,\n",
       " '514': 71,\n",
       " '515': 33,\n",
       " '516': 131,\n",
       " '517': 14,\n",
       " '518': 3,\n",
       " '519': 178,\n",
       " '520': 14,\n",
       " '521': 53,\n",
       " '522': 81,\n",
       " '523': 50,\n",
       " '524': 15,\n",
       " '525': 17,\n",
       " '526': 22,\n",
       " '527': 7,\n",
       " '528': 12,\n",
       " '529': 5,\n",
       " '530': 56,\n",
       " '531': 3,\n",
       " '532': 4,\n",
       " '533': 3,\n",
       " '534': 20,\n",
       " '535': 12,\n",
       " '536': 89,\n",
       " '537': 162,\n",
       " '538': 112,\n",
       " '539': 53,\n",
       " '540': 25,\n",
       " '541': 19,\n",
       " '542': 53,\n",
       " '543': 142,\n",
       " '544': 6,\n",
       " '545': 158,\n",
       " '546': 51,\n",
       " '547': 26,\n",
       " '548': 18,\n",
       " '549': 51,\n",
       " '550': 9,\n",
       " '551': 15,\n",
       " '552': 48,\n",
       " '553': 4,\n",
       " '554': 5,\n",
       " '555': 8,\n",
       " '556': 21,\n",
       " '557': 125,\n",
       " '558': 17,\n",
       " '559': 1,\n",
       " '560': 125,\n",
       " '561': 41,\n",
       " '562': 36,\n",
       " '563': 178,\n",
       " '564': 8,\n",
       " '565': 10,\n",
       " '566': 78,\n",
       " '567': 17,\n",
       " '568': 29,\n",
       " '569': 52,\n",
       " '570': 10,\n",
       " '571': 4,\n",
       " '572': 28,\n",
       " '573': 216,\n",
       " '574': 112,\n",
       " '575': 4,\n",
       " '576': 26,\n",
       " '577': 92,\n",
       " '578': 24,\n",
       " '579': 155,\n",
       " '580': 207,\n",
       " '581': 21,\n",
       " '582': 19,\n",
       " '583': 78,\n",
       " '584': 5,\n",
       " '585': 9,\n",
       " '586': 171,\n",
       " '587': 9,\n",
       " '588': 37,\n",
       " '589': 49,\n",
       " '590': 21,\n",
       " '591': 1,\n",
       " '592': 2,\n",
       " '593': 45,\n",
       " '594': 4,\n",
       " '595': 136,\n",
       " '596': 26,\n",
       " '597': 6,\n",
       " '598': 2,\n",
       " '599': 16,\n",
       " '600': 38,\n",
       " '601': 65,\n",
       " '602': 41,\n",
       " '603': 20,\n",
       " '604': 23,\n",
       " '605': 137,\n",
       " '606': 8,\n",
       " '607': 15,\n",
       " '608': 17,\n",
       " '609': 83,\n",
       " '610': 193,\n",
       " '611': 3,\n",
       " '612': 31,\n",
       " '613': 5,\n",
       " '614': 18,\n",
       " '615': 17,\n",
       " '616': 5,\n",
       " '617': 1,\n",
       " '618': 2,\n",
       " '619': 1,\n",
       " '620': 13,\n",
       " '621': 164,\n",
       " '622': 82,\n",
       " '623': 211,\n",
       " '624': 7,\n",
       " '625': 6,\n",
       " '626': 10,\n",
       " '627': 38,\n",
       " '628': 8,\n",
       " '629': 8,\n",
       " '630': 3,\n",
       " '631': 9,\n",
       " '632': 15,\n",
       " '633': 46,\n",
       " '634': 33,\n",
       " '635': 155,\n",
       " '636': 27,\n",
       " '637': 192,\n",
       " '638': 52,\n",
       " '639': 43,\n",
       " '640': 60,\n",
       " '641': 74,\n",
       " '642': 47,\n",
       " '643': 130,\n",
       " '644': 57,\n",
       " '645': 6,\n",
       " '646': 71,\n",
       " '647': 66,\n",
       " '648': 52,\n",
       " '649': 105,\n",
       " '650': 3,\n",
       " '651': 100,\n",
       " '652': 90,\n",
       " '653': 158,\n",
       " '654': 131,\n",
       " '655': 61,\n",
       " '656': 132,\n",
       " '657': 48,\n",
       " '658': 33,\n",
       " '659': 255,\n",
       " '660': 22,\n",
       " '661': 83,\n",
       " '662': 54,\n",
       " '663': 54,\n",
       " '664': 99,\n",
       " '665': 11,\n",
       " '666': 7,\n",
       " '667': 9,\n",
       " '668': 43,\n",
       " '669': 20,\n",
       " '670': 93,\n",
       " '671': 42,\n",
       " '672': 27,\n",
       " '673': 232,\n",
       " '674': 86,\n",
       " '675': 10,\n",
       " '676': 54,\n",
       " '677': 15,\n",
       " '678': 3,\n",
       " '679': 1,\n",
       " '680': 42,\n",
       " '681': 57,\n",
       " '682': 15,\n",
       " '683': 13,\n",
       " '684': 126,\n",
       " '685': 147,\n",
       " '686': 36,\n",
       " '687': 85,\n",
       " '688': 13,\n",
       " '689': 39,\n",
       " '690': 59,\n",
       " '691': 59,\n",
       " '692': 123,\n",
       " '693': 15,\n",
       " '694': 14,\n",
       " '695': 11,\n",
       " '696': 34,\n",
       " '697': 24,\n",
       " '698': 3,\n",
       " '699': 6,\n",
       " '700': 41,\n",
       " '701': 42,\n",
       " '702': 8,\n",
       " '703': 27,\n",
       " '704': 75,\n",
       " '705': 18,\n",
       " '706': 60,\n",
       " '707': 62,\n",
       " '708': 13,\n",
       " '709': 24,\n",
       " '710': 84,\n",
       " '711': 9,\n",
       " '712': 110,\n",
       " '713': 61,\n",
       " '714': 59,\n",
       " '715': 56,\n",
       " '716': 29,\n",
       " '717': 11,\n",
       " '718': 4,\n",
       " '719': 28,\n",
       " '720': 191,\n",
       " '721': 120,\n",
       " '722': 39,\n",
       " '723': 25,\n",
       " '724': 25,\n",
       " '725': 134,\n",
       " '726': 50,\n",
       " '727': 6,\n",
       " '728': 118,\n",
       " '729': 1,\n",
       " '730': 33,\n",
       " '731': 195,\n",
       " '732': 1,\n",
       " '733': 27,\n",
       " '734': 53,\n",
       " '735': 2,\n",
       " '736': 188,\n",
       " '737': 37,\n",
       " '738': 18,\n",
       " '739': 51,\n",
       " '740': 27,\n",
       " '741': 166,\n",
       " '742': 155,\n",
       " '743': 28,\n",
       " '744': 32,\n",
       " '745': 13,\n",
       " '746': 39,\n",
       " '747': 52,\n",
       " '748': 114,\n",
       " '749': 53,\n",
       " '750': 7,\n",
       " '751': 2,\n",
       " '752': 61,\n",
       " '753': 87,\n",
       " '754': 34,\n",
       " '755': 21,\n",
       " '756': 27,\n",
       " '757': 18,\n",
       " '758': 10,\n",
       " '759': 85,\n",
       " '760': 5,\n",
       " '761': 30,\n",
       " '762': 17,\n",
       " '763': 29,\n",
       " '764': 18,\n",
       " '765': 34,\n",
       " '766': 8,\n",
       " '767': 24,\n",
       " '768': 4,\n",
       " '769': 9,\n",
       " '770': 24,\n",
       " '771': 35,\n",
       " '772': 40,\n",
       " '773': 49,\n",
       " '774': 24,\n",
       " '775': 48,\n",
       " '776': 9,\n",
       " '777': 67,\n",
       " '778': 130,\n",
       " '779': 4,\n",
       " '780': 11,\n",
       " '781': 4,\n",
       " '782': 8,\n",
       " '783': 50,\n",
       " '784': 28,\n",
       " '785': 19,\n",
       " '786': 8,\n",
       " '787': 78,\n",
       " '788': 45,\n",
       " '789': 155,\n",
       " '790': 47,\n",
       " '791': 17,\n",
       " '792': 46,\n",
       " '793': 46,\n",
       " '794': 7,\n",
       " '795': 17,\n",
       " '796': 14,\n",
       " '797': 30,\n",
       " '798': 126,\n",
       " '799': 24,\n",
       " '800': 19,\n",
       " '801': 185,\n",
       " '802': 10,\n",
       " '803': 164,\n",
       " '804': 1,\n",
       " '805': 7,\n",
       " '806': 63,\n",
       " '807': 87,\n",
       " '808': 68,\n",
       " '809': 16,\n",
       " '810': 20,\n",
       " '811': 6,\n",
       " '812': 1,\n",
       " '813': 13,\n",
       " '814': 3,\n",
       " '815': 57,\n",
       " '816': 54,\n",
       " '817': 49,\n",
       " '818': 60,\n",
       " '819': 57,\n",
       " '820': 13,\n",
       " '821': 4,\n",
       " '822': 57,\n",
       " '823': 3,\n",
       " '824': 73,\n",
       " '825': 80,\n",
       " '826': 63,\n",
       " '827': 84,\n",
       " '828': 38,\n",
       " '829': 25,\n",
       " '830': 46,\n",
       " '831': 109,\n",
       " '832': 30,\n",
       " '833': 184,\n",
       " '834': 36,\n",
       " '835': 5,\n",
       " '836': 6,\n",
       " '837': 14,\n",
       " '838': 63,\n",
       " '839': 12,\n",
       " '840': 43,\n",
       " '841': 17,\n",
       " '842': 61,\n",
       " '843': 8,\n",
       " '844': 31,\n",
       " '845': 3,\n",
       " '846': 6,\n",
       " '847': 21,\n",
       " '848': 78,\n",
       " '849': 129,\n",
       " '850': 2,\n",
       " '851': 33,\n",
       " '852': 42,\n",
       " '853': 22,\n",
       " '854': 7,\n",
       " '855': 18,\n",
       " '856': 6,\n",
       " '857': 10,\n",
       " '858': 4,\n",
       " '859': 37,\n",
       " '860': 33,\n",
       " '861': 28,\n",
       " '862': 139,\n",
       " '863': 39,\n",
       " '864': 35,\n",
       " '865': 13,\n",
       " '866': 5,\n",
       " '867': 14,\n",
       " '868': 36,\n",
       " '869': 6,\n",
       " '870': 21,\n",
       " '871': 28,\n",
       " '872': 70,\n",
       " '873': 20,\n",
       " '874': 42,\n",
       " '875': 9,\n",
       " '876': 28,\n",
       " '877': 8,\n",
       " '878': 11,\n",
       " '879': 46,\n",
       " '880': 117,\n",
       " '881': 6,\n",
       " '882': 78,\n",
       " '883': 78,\n",
       " '884': 9,\n",
       " '885': 102,\n",
       " '886': 39,\n",
       " '887': 6,\n",
       " '888': 12,\n",
       " '889': 11,\n",
       " '890': 9,\n",
       " '891': 56,\n",
       " '892': 17,\n",
       " '893': 37,\n",
       " '894': 2,\n",
       " '895': 36,\n",
       " '896': 14,\n",
       " '897': 66,\n",
       " '898': 36,\n",
       " '899': 12,\n",
       " '900': 43,\n",
       " '901': 29,\n",
       " '902': 45,\n",
       " '903': 2,\n",
       " '904': 20,\n",
       " '905': 5,\n",
       " '906': 11,\n",
       " '907': 19,\n",
       " '908': 25,\n",
       " '909': 5,\n",
       " '910': 92,\n",
       " '911': 3,\n",
       " '912': 3,\n",
       " '913': 195,\n",
       " '914': 82,\n",
       " '915': 25,\n",
       " '916': 5,\n",
       " '917': 14,\n",
       " '918': 17,\n",
       " '919': 6,\n",
       " '920': 29,\n",
       " '921': 47,\n",
       " '922': 15,\n",
       " '923': 5,\n",
       " '924': 15,\n",
       " '925': 44,\n",
       " '926': 26,\n",
       " '927': 26,\n",
       " '928': 31,\n",
       " '929': 34,\n",
       " '930': 24,\n",
       " '931': 70,\n",
       " '932': 13,\n",
       " '933': 64,\n",
       " '934': 6,\n",
       " '935': 19,\n",
       " '936': 9,\n",
       " '937': 4,\n",
       " '938': 24,\n",
       " '939': 13,\n",
       " '940': 7,\n",
       " '941': 34,\n",
       " '942': 24,\n",
       " '943': 14,\n",
       " '944': 5,\n",
       " '945': 22,\n",
       " '946': 48,\n",
       " '947': 13,\n",
       " '948': 13,\n",
       " '949': 9,\n",
       " '950': 106,\n",
       " '951': 4,\n",
       " '952': 65,\n",
       " '953': 32,\n",
       " '954': 12,\n",
       " '955': 53,\n",
       " '956': 70,\n",
       " '957': 14,\n",
       " '958': 44,\n",
       " '959': 101,\n",
       " '960': 64,\n",
       " '961': 60,\n",
       " '962': 5,\n",
       " '963': 14,\n",
       " '964': 7,\n",
       " '965': 48,\n",
       " '966': 4,\n",
       " '967': 3,\n",
       " '968': 100,\n",
       " '969': 1,\n",
       " '970': 1,\n",
       " '971': 43,\n",
       " '972': 9,\n",
       " '973': 98,\n",
       " '974': 26,\n",
       " '975': 33,\n",
       " '976': 40,\n",
       " '977': 9,\n",
       " '978': 19,\n",
       " '979': 2,\n",
       " '980': 3,\n",
       " '981': 61,\n",
       " '982': 10,\n",
       " '983': 154,\n",
       " '984': 7,\n",
       " '985': 1,\n",
       " '986': 3,\n",
       " '987': 74,\n",
       " '988': 12,\n",
       " '989': 66,\n",
       " '990': 4,\n",
       " '991': 27,\n",
       " '992': 14,\n",
       " '993': 30,\n",
       " '994': 8,\n",
       " '995': 18,\n",
       " '996': 8,\n",
       " '997': 45,\n",
       " '998': 10,\n",
       " '999': 22,\n",
       " '1000': 7,\n",
       " ...}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "games_played = chess.degree()\n",
    "games_played"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using list comprehension, we can find which player played the most games."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "player 461\n",
      "280 games\n"
     ]
    }
   ],
   "source": [
    "max_value = max(games_played.values())\n",
    "max_key, = [i for i in games_played.keys() if games_played[i] == max_value]\n",
    "\n",
    "print('player {}\\n{} games'.format(max_key, max_value))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use pandas to find out which players won the most games. First let's convert our graph to a DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>white</th>\n",
       "      <th>black</th>\n",
       "      <th>outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>{'outcome': 0, 'timestamp': 885635999.999997}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>{'outcome': 0, 'timestamp': 885635999.999997}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>{'outcome': 0, 'timestamp': 885635999.999997}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>{'outcome': 1, 'timestamp': 885635999.999997}</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>{'outcome': 0, 'timestamp': 885635999.999997}</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  white black                                        outcome\n",
       "0     1     2  {'outcome': 0, 'timestamp': 885635999.999997}\n",
       "1     1     3  {'outcome': 0, 'timestamp': 885635999.999997}\n",
       "2     1     4  {'outcome': 0, 'timestamp': 885635999.999997}\n",
       "3     1     5  {'outcome': 1, 'timestamp': 885635999.999997}\n",
       "4     1     6  {'outcome': 0, 'timestamp': 885635999.999997}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(chess.edges(data=True), columns=['white', 'black', 'outcome'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we can use a lambda to pull out the outcome from the attributes dictionary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>white</th>\n",
       "      <th>black</th>\n",
       "      <th>outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  white black  outcome\n",
       "0     1     2        0\n",
       "1     1     3        0\n",
       "2     1     4        0\n",
       "3     1     5        1\n",
       "4     1     6        0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['outcome'] = df['outcome'].map(lambda x: x['outcome'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To count the number of times a player won as white, we find the rows where the outcome was '1', group by the white player, and sum.\n",
    "\n",
    "To count the number of times a player won as back, we find the rows where the outcome was '-1', group by the black player, sum, and multiply by -1.\n",
    "\n",
    "The we can add these together with a fill value of 0 for those players that only played as either black or white."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      outcome\n",
       "1         7.0\n",
       "100       7.0\n",
       "1000      1.0\n",
       "1002      1.0\n",
       "1003      5.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "won_as_white = df[df['outcome']==1].groupby('white').sum()\n",
    "won_as_black = -df[df['outcome']==-1].groupby('black').sum()\n",
    "win_count = won_as_white.add(won_as_black, fill_value=0)\n",
    "win_count.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using `nlargest` we find that player 330 won the most games at 109."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>109.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>94.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>88.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     outcome\n",
       "330    109.0\n",
       "467    103.0\n",
       "98      94.0\n",
       "456     88.0\n",
       "461     88.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "win_count.nlargest(5, 'outcome')"
   ]
  }
 ],
 "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}