ConstellationProjectGinnyS.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Project: Visualizing the Orion Constellation\n",
    "\n",
    "In this project you are Dr. Jillian Bellovary, a real-life astronomer for the Hayden Planetarium at the American Museum of Natural History. As an astronomer, part of your job is to study the stars. You've recently become interested in the constellation Orion, a collection of stars that appear in our night sky and form the shape of [Orion](https://en.wikipedia.org/wiki/Orion_(constellation)), a warrior God from ancient Greek mythology. \n",
    "\n",
    "As a researcher on the Hayden Planetarium team, you are in charge of visualizing the Orion constellation in 3D using the Matplotlib function `.scatter()`. To learn more about the `.scatter()` you can see the Matplotlib documentation [here](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.scatter.html). \n",
    "\n",
    "You will create a rotate-able visualization of the position of the Orion's stars and get a better sense of their actual positions. To achieve this, you will be mapping real data from outer space that maps the position of the stars in the sky\n",
    "\n",
    "The goal of the project is to understand spatial perspective. Once you visualize Orion in both 2D and 3D, you will be able to see the difference in the constellation shape humans see from earth versus the actual position of the stars that make up this constellation. \n",
    "\n",
    "<img src=\"https://upload.wikimedia.org/wikipedia/commons/9/91/Orion_constellation_with_star_labels.jpg\" alt=\"Orion\" style=\"width: 400px;\"/>\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Set-Up\n",
    "The following set-up is new and specific to the project. It is very similar to the way you have imported Matplotlib in previous lessons.\n",
    "\n",
    "+ Add `%matplotlib notebook` in the cell below. This is a new statement that you may not have seen before. It will allow you to be able to rotate your visualization in this jupyter notebook.\n",
    "\n",
    "+ We will be using a subset of Matplotlib: `matplotlib.pyplot`. Import the subset as you have been importing it in previous lessons: `from matplotlib import pyplot as plt`\n",
    "\n",
    "\n",
    "+ In order to see our 3D visualization, we also need to add this new line after we import Matplotlib:\n",
    "`from mpl_toolkits.mplot3d import Axes3D`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "from matplotlib import pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Get familiar with real data\n",
    "\n",
    "Astronomers describe a star's position in the sky by using a pair of angles: declination and right ascension. Declination is similar to longitude, but it is projected on the celestian fear. Right ascension is known as the \"hour angle\" because it accounts for time of day and earth's rotaiton. Both angles are relative to the celestial equator. You can learn more about star position [here](https://en.wikipedia.org/wiki/Star_position).\n",
    "\n",
    "The `x`, `y`, and `z` lists below are composed of the x, y, z coordinates for each star in the collection of stars that make up the Orion constellation as documented in a paper by Nottingham Trent Univesity on \"The Orion constellation as an installation\" found [here](https://arxiv.org/ftp/arxiv/papers/1110/1110.3469.pdf).\n",
    "\n",
    "Spend some time looking at `x`, `y`, and `z`, does each fall within a range?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Orion\n",
    "x = [-0.41, 0.57, 0.07, 0.00, -0.29, -0.32,-0.50,-0.23, -0.23]\n",
    "y = [4.12, 7.71, 2.36, 9.10, 13.35, 8.13, 7.19, 13.25,13.43]\n",
    "z = [2.06, 0.84, 1.56, 2.07, 2.36, 1.72, 0.66, 1.25,1.38]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Create a 2D Visualization\n",
    "\n",
    "Before we visualize the stars in 3D, let's get a sense of what they look like in 2D. \n",
    "\n",
    "Create a figure for the 2d plot and save it to a variable name `fig`. (hint: `plt.figure()`)\n",
    "\n",
    "Add your subplot `.add_subplot()` as the single subplot, with `1,1,1`.(hint: `add_subplot(1,1,1)`)\n",
    "\n",
    "Use the scatter [function](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.scatter.html) to visualize your `x` and `y` coordinates. (hint: `.scatter(x,y)`)\n",
    "\n",
    "Render your visualization. (hint: `plt.show()`)\n",
    "\n",
    "Does the 2D visualization look like the Orion constellation we see in the night sky? Do you recognize its shape in 2D? There is a curve to the sky, and this is a flat visualization, but we will visualize it in 3D in the next step to get a better sense of the actual star positions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        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",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.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 http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\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",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\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 icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\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",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "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": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "plt.subplot(1, 1, 1)\n",
    "plt.scatter(x,y, color=\"purple\")\n",
    "plt.title(\"2D Constellation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Create a 3D Visualization\n",
    "\n",
    "Create a figure for the 3D plot and save it to a variable name `fig_3d`. (hint: `plt.figure()`)\n",
    "\n",
    "\n",
    "Since this will be a 3D projection, we want to make to tell Matplotlib this will be a 3D plot.  \n",
    "\n",
    "To add a 3D projection, you must include a the projection argument. It would look like this:\n",
    "```py\n",
    "projection=\"3d\"\n",
    "```\n",
    "\n",
    "Add your subplot with `.add_subplot()` as the single subplot `1,1,1` and specify your `projection` as `3d`:\n",
    "\n",
    "`fig_3d.add_subplot(1,1,1,projection=\"3d\")`)\n",
    "\n",
    "Since this visualization will be in 3D, we will need our third dimension. In this case, our `z` coordinate. \n",
    "\n",
    "Create a new variable `constellation3d` and call the scatter [function](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.scatter.html) with your `x`, `y` and `z` coordinates. \n",
    "\n",
    "Include `z` just as you have been including the other two axes. (hint: `.scatter(x,y,z)`)\n",
    "\n",
    "Render your visualization. (hint `plt.show()`.)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        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",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.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 http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\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",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\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 icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\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",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "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": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_3d = plt.figure()\n",
    "plt.subplot(1,1,1, projection = \"3d\")\n",
    "constellation3d = plt.scatter(x,y,z, color=\"purple\")\n",
    "plt.title(\"3D Constellation\")\n",
    "plt.show(constellation3d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Rotate and explore\n",
    "\n",
    "Use your mouse to click and drag the 3D visualization in the previous step. This will rotate the scatter plot. As you rotate, can you see Orion from different angles? \n",
    "\n",
    "Note: The on and off button that appears above the 3D scatter plot allows you to toggle rotation of your 3D visualization in your notebook.\n",
    "\n",
    "Take your time, rotate around! Remember, this will never look exactly like the Orion we see from Earth. The visualization does not curve as the night sky does.\n",
    "There is beauty in the new understanding of Earthly perspective! We see the shape of the warrior Orion because of Earth's location in the universe and the location of the stars in that constellation.\n",
    "\n",
    "Feel free to map more stars by looking up other celestial x, y, z coordinates [here](http://www.stellar-database.com/).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.savefig(\"constellation3d.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}