csiborgtools/meetings/220317_comboverlap.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5a38ed25",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-03-27T07:59:54.148459Z",
     "start_time": "2023-03-27T07:59:49.772332Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "not found\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import joblib\n",
    "# Local packages\n",
    "try:\n",
    "    import csiborgtools\n",
    "except ModuleNotFoundError:\n",
    "    print(\"not found\")    \n",
    "    sys.path.append(\"../\")\n",
    "    import csiborgtools\n",
    "\n",
    "\n",
    "%matplotlib notebook\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "190d39e6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-03-27T08:00:21.478313Z",
     "start_time": "2023-03-27T07:59:54.150966Z"
    }
   },
   "outputs": [],
   "source": [
    "cat0 = csiborgtools.read.HaloCatalogue(7468)\n",
    "catxs = [csiborgtools.read.HaloCatalogue(nsim) for nsim in (7588, 8020, 8452, 8836)]\n",
    "reader = csiborgtools.read.NPairsOverlap(cat0, catxs, max_dist=150 / 0.705)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9b20b499",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-03-27T08:03:02.868657Z",
     "start_time": "2023-03-27T08:02:59.026332Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "        fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"960\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xs = reader.summed_overlap(from_smoothed=True)\n",
    "ks = xs[:, 0] > 0.5\n",
    "\n",
    "fig, axs = plt.subplots(ncols=3, sharey=True, figsize=[1.5 * 6.4, 4.8 * 0.75])\n",
    "fig.subplots_adjust(wspace=0)\n",
    "fig.suptitle(\"Overlap with three other simulations\")\n",
    "for i in range(3):\n",
    "    axs[i].scatter(reader.cat0(\"totpartmass\", ks), xs[ks, i], s=1)\n",
    "\n",
    "    axs[i].set_xscale(\"log\")\n",
    "    axs[i].set_xlabel(r\"$M_{\\rm tot} ~ [M_\\odot]$\")\n",
    "\n",
    "axs[0].set_ylabel(r\"Summed overlap $\\sum_{b} \\mathcal{O}^{\\alpha \\beta}_{a b}$\")\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.savefig(\"../plots/summed_overlap.png\", dpi=300)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5eb39b3c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-03-27T08:03:17.239926Z",
     "start_time": "2023-03-27T08:03:16.290965Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "        fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"960\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ks = xs[:, 0] > 0.5\n",
    "\n",
    "fig, axs = plt.subplots(ncols=3, figsize=[1.5 * 6.4, 4.8 * 0.75])\n",
    "\n",
    "axs[0].scatter(reader.cat0(\"totpartmass\", ks), np.mean(xs[ks, :], axis=1), s=1)\n",
    "axs[1].scatter(reader.cat0(\"totpartmass\", ks), np.std(xs[ks, :], axis=1), s=1)\n",
    "axs[2].scatter(np.mean(xs[ks, :], axis=1), np.std(xs[ks, :], axis=1), s=1)\n",
    "\n",
    "for i in range(2):\n",
    "    axs[i].set_xscale(\"log\")\n",
    "    axs[i].set_xlabel(r\"$M_{\\rm tot} ~ [M_\\odot]$\")\n",
    "\n",
    "axs[0].set_ylabel(r\"Realisation mean of $\\sum_{b} \\mathcal{O}^{\\alpha \\beta}_{a b}$\")\n",
    "axs[1].set_ylabel(r\"Realisation std of $\\sum_{b} \\mathcal{O}^{\\alpha \\beta}_{a b}$\")\n",
    "\n",
    "axs[2].set_xlabel(r\"Realisation mean of $\\sum_{b} \\mathcal{O}^{\\alpha \\beta}_{a b}$\")\n",
    "axs[2].set_ylabel(r\"Realisation std of $\\sum_{b} \\mathcal{O}^{\\alpha \\beta}_{a b}$\")\n",
    " \n",
    "plt.tight_layout()\n",
    "plt.savefig(\"../plots/averaged_summed_overlap.png\", dpi=300)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c70c937a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-03-27T08:10:24.599469Z",
     "start_time": "2023-03-27T08:09:43.848945Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "../csiborgtools/read/summaries.py:717: RuntimeWarning: invalid value encountered in true_divide\n",
      "  lambda x: x / numpy.sum(x), axis=1, arr=probmatch)\n"
     ]
    }
   ],
   "source": [
    "mu, std, mu_full, std_full = reader.counterpart_mass(from_smoothed=True, overlap_threshold=0.01,\n",
    "                                                     return_full=True)\n",
    "probmatch = 1 - reader.prob_nomatch(from_smoothed=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d67a44e7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-03-27T08:11:02.225770Z",
     "start_time": "2023-03-27T08:10:55.267606Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
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       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            '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",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
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       "\n",
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       "        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",
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       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
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       "\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",
       "        fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"960\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = np.linspace(1e12, 5e15)\n",
    "\n",
    "fig, axs = plt.subplots(ncols=3, figsize=[1.5 * 6.4, 4.8 * 0.75])\n",
    "axs[0].scatter(reader.cat0(\"totpartmass\"), mu_full[:, 0], c=probmatch[:, 0], s=5 * probmatch[:, 0],\n",
    "            rasterized=True)\n",
    "\n",
    "\n",
    "axs[1].scatter(reader.cat0(\"totpartmass\"), mu, s=5 * np.mean(probmatch, axis=1), c=3 * np.mean(probmatch, axis=1))\n",
    "axs[1].plot(t, t, c=\"red\", ls=\"--\")\n",
    "\n",
    "axs[2].scatter(reader.cat0(\"totpartmass\"), std / mu, s=5 * np.mean(probmatch, axis=1), c=3 * np.mean(probmatch, axis=1))\n",
    "\n",
    "for i in range(3):\n",
    "    axs[i].set_xlabel(r\"$M_{\\rm tot} ~ [M_\\odot]$\")\n",
    "    axs[i].set_xscale(\"log\")\n",
    "    axs[i].set_yscale(\"log\")\n",
    "\n",
    "axs[0].set_ylabel(r\"$\\langle M_{\\rm tot} \\rangle ~ [M_\\odot]$\")\n",
    "axs[0].set_title(r\"$1 \\rightarrow 1$ (col. by match prob.)\")\n",
    "\n",
    "axs[1].set_ylabel(r\"$\\langle M_{\\rm tot} \\rangle ~ [M_\\odot]$\")\n",
    "axs[1].set_title(r\"$1\\rightarrow 4$ (col. by <match prob.>)\")\n",
    "\n",
    "\n",
    "axs[2].set_ylabel(r\"$\\delta(M_{\\rm tot}) / \\langle M_{\\rm tot} \\rangle$\")\n",
    "axs[2].set_title(r\"$1\\rightarrow 4$ (col. by <match prob.>)\")\n",
    "\n",
    "fig.tight_layout()\n",
    "fig.savefig(\"../plots/exp_mass.png\", dpi=300)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "c891a841",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-03-27T08:20:56.256826Z",
     "start_time": "2023-03-27T08:20:48.887409Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "        fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "    fig.rubberband_canvas.style.cursor = msg['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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       " * https://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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\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",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1920\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xs = reader.summed_overlap(from_smoothed=False)\n",
    "ys = reader.summed_overlap(from_smoothed=True)\n",
    "t = np.linspace(0, 1, 100)\n",
    "\n",
    "\n",
    "\n",
    "fig, axs = plt.subplots(ncols=4, figsize=(6.4 * 3, 4.8), sharey=True)\n",
    "fig.subplots_adjust(wspace=0)\n",
    "for i in range(4):\n",
    "    axs[i].hexbin(xs[:, i], ys[:, i], mincnt=1, bins=\"log\", gridsize=30)\n",
    "    axs[i].plot(t, t, c=\"red\", ls=\"--\")\n",
    "    \n",
    "    axs[i].set_xlabel(\"Original summed overlap\")\n",
    "axs[0].set_ylabel(\"Smoothed summer overlap\")\n",
    "fig.suptitle(\"Matching one simulation to four others\")\n",
    "plt.tight_layout(w_pad=0)\n",
    "fig.savefig(\"../plots/ovelap_comp.png\", dpi=450)\n",
    "fig.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "venv_galomatch",
   "language": "python",
   "name": "venv_galomatch"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.0"
  },
  "vscode": {
   "interpreter": {
    "hash": "f29d02a8350410abc2a9fb79641689d10bf7ab64afc03ec87ca3cf6ed2daa499"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}