constellation.ipynb

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    "## 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"
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    "## 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"
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    "%matplotlib notebook\n",
    "from matplotlib import pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D"
   ]
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    "## 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?"
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    "> Comments by t-w-g\n",
    "\n",
    ">>1. Added in 'a' , 'd', and 'names' lists which are the corresponding ascension, declination, and name  data for the stars in the 'x,y,z' lists.\n",
    ">>2. Added in data for a 'dummy' star. Why? The 'dummy' star is there to force an equal scale on the 3-d plot. Without it, matplotlib is plotting the 'x', 'y', and 'z' min to max ranges as equal- this is decidedly NOT true. The range for 'y' is 13.43K light years, 'x' is 1.07K l.y., 'z' is 2.36K l.y. The 'dummy' forces the 'x' and 'z' range to roughly scale.\n",
    ">>3. Added in data for 'Earth', which according to the attached article is located at (0,0,1)\n",
    ">>4. ALSO- instead of plotting 'x, y' plotting 'x, z'. This will give us closer to the visual from Earth since 'y' axis is primarily 'up' from Earth.\n"
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    "# Orion\n",
    "x = [-0.41, 0.57, 0.07, 0.00, -0.29, -0.32,-0.50,-0.23, -0.23, 5, 0]\n",
    "y = [4.12, 7.71, 2.36, 9.10, 13.35, 8.13, 7.19, 13.25, 13.43, 10, 0]\n",
    "z = [2.06, 0.84, 1.56, 2.07, 2.36, 1.72, 0.66, 1.25, 1.38, 5, 1]\n",
    "a = [[5,55.16],[5,14.5],[5,25],[5,32],[5,36.2],[5,40.75],[5,48],[5,36],[5,36]]\n",
    "d = [[7,24.4],[-8,12.3],[6,21],[-0,18],[-1,12],[-1,56.55],[-9,40],[-5,54],[-5,23]]\n",
    "a_deg = [-88.79, -78.63, -81.28, -83.00, -84.05, -85.19, -86.94, -83.86, -83.82, -83.78]\n",
    "d_deg = [7.41, -8.20, 6.35, -0.30, -1.20, -1.94, -9.67, -5.91, -5.39, 9.93]\n",
    "names = ['α, Betelgeuse', 'ß, Rigel', 'Γ, Bellatrix', 'δ, Mintaka', 'ε, Alnilam', 'z, Alnitak', 'k, Saiph', 'i, iota','M42, Orion Nebula', 'dummy', 'Earth']"
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    "## 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. \n",
    "\n",
    "\n",
    "> Comment by t-w-g: \n",
    "\n",
    ">>The writer above is partially correct, but at the same time the information is described incorrectly: the authors of the attached PDF were creating a 3-D model of how the stars are actually oriented in the local galaxy, so plotting an X and Y axes doesn't mean anything. Plotting the X and Z axes gives a closer match to what we see from Earth because the Y axis is effectively the 'up' axis. See below for a better representation of what we see using right ascension and declination. "
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       "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",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\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.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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\", \"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.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = 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": {
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yQ9YgJOT1hNQg9VTC5kQIECAAAECBAgQMJ+XvwMW4PI1yJaBBstGKzABAgQIECBAgACBaAHzeTRZ8gMW4OSk9QTUYPXUQiYECBAgQIAAAQIEzOfl74AFuHwNsmWgwbLRCkyAAAECBAgQIEAgWsB8Hk2W/IAFODlpPQE1WD21kAkBAgQIECBAgAAB83n5O2ABLl+DbBlosGy0AhMgQIAAAQIECBCIFjCfR5MlP2ABTk5aT0ANVk8tZEKAAAECBAgQIEDAfF7+DliAy9cgWwYaLButwAQIECBAgAABAgSiBczn0WTJD1iAk5PWE1CD1VMLmRAgQIAAAQIECBAwn5e/Axbg8jXIloEGy0YrMAECBAgQIECAAIFoAfN5NFnyAxbg5KT1BNRg9dRCJgQIECBAgAABAgTM5+XvgAW4fA2yZaDBstEKTIAAAQIECBAgQCBawHweTZb8gAU4OWk9ATVYPbWQCQECBAgQIECAAAHzefk7YAEuX4NsGWiwbLQCEyBAgAABAgQIEIgWMJ9HkyU/YAFOTlpPQA1WTy1kQoAAAQIECBAgQMB8Xv4OWIDL1yBbBhosG63ABAgQIECAAAECBKIFzOfRZMkPWICTk9YTUIPVUwuZECBAgAABAgQIEDCfl78DFuDyNciWgQbLRiswAQIECBAgQIAAgWgB83k0WfIDFuDkpPUE1GD11EImBAgQIECAAAECBMzn5e+ABbh8DbJloMGy0QpMgAABAgQIECBAIFrAfB5NlvyABTg5aT0BNVg9tZAJAQIECBAgQIAAAfN5+TtgAS5fg2wZaLBstAITIECAAAECBAgQiBYwn0eTJT9gAU5OWk9ADVZPLWRCgAABAgQIECBAwHxe/g5YgMvXIFsGGiwbrcAECBAgQIAAAQIEogXM59FkyQ9YgJOT1hNQg9VTC5kQIECAAAECBAgQMJ+XvwMW4PI1yJaBBstGKzABAgQIECBAgACBaAHzeTRZ8gMW4OSk9QTUYPXUQiYECBAgQIAAAQIEzOfl74AFuHwNsmWgwbLRCkyAAAECBAgQIEAgWsB8Hk2W/IAFODlpPQE1WD21kAkBAgQIECBAgAAB83n5O2ABLl+DbBlosGy0AhMgQIAAAQIECBCIFjCfR5MlP2ABTk5aT0ANVk8tZEKAAAECBAgQIEDAfF7+DliAy9cgWwYaLButwAQIECBAgAABAgSiBczn0WTJD1iAk5PWE1CD1VMLmRAgQIAAAQIECBAwn5e/Axbg8jXIloEGy0YrMAECBAgQIECAAIFoAfN5NFnyAxbg5KT1BNRg9dRCJgQIECBAgAABAgTM5+XvgAW4fA2yZaDBstEKTIAAAQIECBAgQCBawHweTZb8gAU4OWk9ATVYPbWQCQECBAgQIECAAAHzefk7YAEuX4NsGWiwbLQCEyBAgAABAgQIEIgWMJ9HkyU/YAFOTlpPQA1WTy1kQoAAAQIECBAgQMB8Xv4OWIDL1yBbBhosG63ABAgQIECAAAECBKIFzOfRZMkPWICTk9YTUIPVUwuZECBAgAABAgQIEDCfl78DFuDyNciWgQbLRiswAQIECBAgQIAAgWgB83k0WfIDFuDkpPUE1GD11EImBAgQIECAAAECBMzn5e+ABbh8DbJloMGy0QpMgAABAgQIECBAIFrAfB5NlvyABTg5aT0BNVg9tZAJAQIECBAgQIAAAfN5+TtgAS5fg2wZaLBstAITIECAAAECBAgQiBYwn0eTJT9gAU5OWk9ADVZPLWRCgAABAgQIECBAwHxe/g5YgMvXIFsGGiwbrcAECBAgQIAAAQIEogXM59FkyQ9YgJOT1hNQg9VTC5kQIECAAAECBAgQMJ+XvwMW4PI1yJaBBstGKzABAgQIECBAgACBaAHzeTRZ8gMW4OSk9QTUYPXUQiYECBAgQIAAAQIEzOfl74AFuHwNsmWgwbLRCkyAAAECBAgQIEAgWsB8Hk2W/IAFODlpPQE1WD21kAkBAgQIECBAgAAB83n5O2ABLl+DbBlosGy0AhMgQIAAAQIECBCIFjCfR5MlP2ABTk5aT0ANVk8tZEKAAAECBAgQIEDAfF7+DliAy9cgWwYaLButwAQIECBAgAABAgSiBczn0WTJD1iAk5PWE1CD1VMLmRAgQIAAAQIECBAwn5e/Axbg8jXIloEGy0YrMAECBAgQIECAAIFoAfN5NFnyAxbg5KT1BNRg9dRCJgQIECBAgAABAgTM5+XvgAW4fA2yZaDBstEKTIAAAQIECBAgQCBawHweTZb8gAU4OWk9ATVYPbWQCQECBAgQIECAAAHzefk7YAEuX4NsGWiwbLQCEyBAgAABAgQIEIgWMJ9HkyU/YAFOTlpPQA1WTy1kQoAAAQIECBAgQMB8Xv4OWIDL1yBbBhosG63ABAgQIECAAAECBKIFzOfRZMkPWICTk9YTUIPVUwuZECBAgAABAgQIEDCfl78DFuDyNciWgQbLRiswAQIECBAgQIAAgWgB83k0WfIDFuDkpPUE1GD11EImBAgQIECAAAECBMzn5e+ABbh8DbJloMGy0QpMgAABAgQIECBAIFrAfB5NlvyABTg5aT0BNVg9tZAJAQIECBAgQIAAAfN5+TtgAS5fg2wZaLBstAITIECAAAECBAgQiBYwn0eTJT9gAU5OWk9ADVZPLWRCgAABAgQIECBAwHxe/g5YgMvXIFsGGiwbrcAECBAgQIAAAQIEogXM59FkyQ9YgJOT1hNQg9VTC5kQIECAAAECBAgQMJ+XvwMW4PI1yJaBBstGKzABAgQIECBAgACBaAHzeTRZ8gMW4OSk9QTUYPXUQiYECBAgQIAAAQIEzOfl74AFuHwNsmWgwbLRCkyAAAECBAgQIEAgWsB8Hk2W/IAFODlpPQE1WD21kAkBAgQIECBAgAAB83n5O2ABLl+DbBlosGy0AhMgQIAAAQIECBCIFjCfR5MlP2ABTk5aT0ANVk8tZEKAAAECBAgQIEDAfF7+DliAy9cgWwYaLButwAQIECBAgAABAgSiBczn0WTJD1iAk5PWE1CD1VMLmRAgQIAAAQIECBAwn5e/Axbg8jXIloEGy0YrMAECBAgQIECAAIFoAfN5NFnyAxbg5KT1BNRg9dRCJgQIECBAgAABAgTM5+XvgAW4fA2yZaDBstEKTIAAAQIECBAgQCBawHweTZb8gAU4OWk9ATVYPbWQCQECBAgQIECAAAHzefk7YAEuX4NsGWiwbLQCEyBAgAABAgQIEIgWMJ9HkyU/YAFOTlpPQA1WTy1kQoAAAQIECBAgQMB8Xv4OWIDL1yBbBhosG63ABAgQIECAAAECBKIFzOfRZMkPWICTk9YTUIPVUwuZECBAgAABAgQIEDCfl78DFuDyNciWgQbLRiswAQIECBAgQIAAgWgB83k0WfIDFuDkpPUE1GD11EImBAgQIECAAAECBMzn5e+ABbh8DbJloMGy0QpMgAABAgQIECBAIFrAfB5NlvyABTg5aT0BNVg9tZAJAQIECBAgQIAAAfN5+TtgAS5fg2wZaLBstAITIECAAAECBAgQiBYwn0eTJT9gAU5OWk9ADVZPLWRCgAABAgQIECBAwHxe/g5YgMvXIFsGGiwbrcAECBAgQIAAAQIEogXM59FkyQ9YgJOT1hNQg9VTC5kQIECAAAECBAgQMJ+XvwMW4PI16GSwbdu2cMQRR4StW7eGww8/PPz2t7+ddGYabNKEAhAgQIAAAQIECBBIJmA+T0bZdSALcNd0aQ+eddZZ4corrwy7du2yAKelFY0AAQIECBAgQIBAFQIW4PJlsACXr0H48Y9/HF7zmteEd7zjHeErX/mKBbiCmkiBAAECBAgQIECAQGoBC3Bq0fh4FuB4s6Qn/vznP4eXvvSlYZ999gnf+ta3wmGHHWYBTiosGAECBAgQIECAAIE6BCzA5etgAS5cg/PPPz98+tOfDj/96U/D3Llzw7x58yzAhWvi7QkQIECAAAECBAjkELAA51CNi2kBjvNK+uo77rgjLFq0KLz1rW8Nl156abj33nstwEmFBSNAgAABAgQIECBQj4AFuHwtLMCFavCXv/wlvPzlLw/33HNP5xOfZ82aZQEuVAtvS4AAAQIECBAgQKAXAhbgXig/83tYgAvV4Atf+EI499xzw+WXXx6aT4Buvrr9DvDuRvr7R7n77rvD/Pnzw4YNGwo9pbclQIAAAQIECBAgQGC3gAW4/F2wABeowZYtW8LChQs7P/7c/O7v7i8LcIFieEsCBAgQIECAAAECPRKwAPcI+hnexgJcoAbLli0L119/ffjlL38ZXvziF096Ad7bI2iwAsX1lgQIECBAgAABAgT2ImA+L381LMAFajBlypSw3377hZe97GVPefcdO3aEkZGR8OxnPzssXry488++853vhBkzZnSVpQbris0hAgQIECBAgAABAlkEzOdZWKOCWoCjuNK8uFmAJ/r1yCOPdJblbr40WDdqzhAgQIAAAQIECBDII2A+z+MaE9UCHKOV+bXd/g7w3tLSYJkLJjwBAgQIECBAgACBCAHzeQRWppdagDPBdhPWAtyNmjMECBAgQIAAAQIE+kPAAly+Thbg8jV4MgMLcEXFkAoBAgQIECBAgACBxAIW4MSgXYSzAHeBluuIBTiXrLgECBAgQIAAAQIEygtYgMvXwAJcvgbZMtBg2WgFJkCAAAECBAgQIBAtYD6PJkt+wAKcnLSegBqsnlrIhAABAgQIECBAgID5vPwdsACXr0G2DDRYNlqBCRAgQIAAAQIECEQLmM+jyZIfsAAnJ60noAarpxYyIUCAAAECBAgQIGA+L38HLMDla5AtAw2WjVZgAgQIECBAgAABAtEC5vNosuQHLMDJSesJqMHqqYVMCBAgQIAAAQIECJjPy98BC3D5GmTLQINloxWYAAECBAgQIECAQLSA+TyaLPkBC3By0noCarB6aiETAgQIECBAgAABAubz8nfAAly+Btky0GDZaAUmQIAAAQIECBAgEC1gPo8mS37AApyctJ6AGqyeWsiEAAECBAgQIECAgPm8/B2wAJevQbYMNFg2WoEJECBAgAABAgQIRAuYz6PJkh+wACcnrSegBqunFjIhQIAAAQIECBAgYD4vfwcswOVrkC0DDZaNVmACBAgQIECAAAEC0QLm82iy5AcswMlJ6wmoweqphUwIECBAgAABAgQImM/L3wELcPkaZMtAg2WjFZgAAQIECBAgQIBAtID5PJos+QELcHLSegJqsHpqIRMCBAgQIECAAAEC5vPyd8ACXL4G2TLQYNloBSZAgAABAgQIECAQLWA+jyZLfsACnJy0noAarJ5ayIQAAQIECBAgQICA+bz8HbAAl69Btgw0WDZagQkQIECAAAECBAhEC5jPo8mSH7AAJyetJ6AGq6cWMiFAgAABAgQIECBgPi9/ByzA5WuQLQMNlo1WYAIECBAgQIAAAQLRAubzaLLkByzAyUnrCajB6qmFTAgQIECAAAECBAiYz8vfAQtw+Rpky0CDZaMVmAABAgQIECBAgEC0gPk8miz5AQtwctJ6AmqwemohEwIECBAgQIAAAQLm8/J3wAJcvgbZMtBg2WgFJkCAAAECBAgQIBAtYD6PJkt+wAKcnLSegBqsnlrIhAABAgQIECBAgID5vPwdsACXr0G2DDRYNlqBCRAgQIAAAQIECEQLmM+jyZIfsAAnJ60noAarpxYyIUCAAAECBAgQIGA+L38HLMDla5AtAw2WjVZgAgQIECBAgAABAtEC5vNosuQHLMDJSesJqMHqqYVMCBAgQIAAAQIECJjPy98BC3D5GmTLQINloxWYAAECBAgQIECAQLSA+TyaLPkBC3By0noCarB6aiETAgQIECBAgAABAubz8nfAAly+Btky0GDZaAUmQIAAAQIECBAgEC1gPo8mS37AApyctJ6AGqyeWsiEAAECBAgQIECAgPm8/B2wAJevQbYMNFg2WoEJECBAgAABAgQIRAuYz6PJkh+wACcnrSegBqunFjIhQIAAAQIECBAgYD6B8jJDAAAgAElEQVQvfwcswOVrkC0DDZaNVmACBAgQIECAAAEC0QLm82iy5AcswMlJ6wmoweqphUwIECBAgAABAgQImM/L3wELcPkaZMtAg2WjFZgAAQIECBAgQIBAtID5PJos+QELcHLSegJqsHpqIRMCBAgQIECAAAEC5vPyd8ACXL4G2TLQYNloBSZAgAABAgQIECAQLWA+jyZLfsACnJy0noAarJ5ayIQAAQIECBAgQICA+bz8HbAAl69Btgw0WDZagQkQIECAAAECBAhEC5jPo8mSH7AAJyetJ6AGq6cWMiFAgAABAgQIECBgPi9/ByzA5WuQLQMNlo1WYAIECBAgQIAAAQLRAubzaLLkByzAyUnrCajB6qmFTAgQIECAAAECBAiYz8vfAQtw+Rpky0CDZaMVmAABAgQIECBAgEC0gPk8miz5AQtwctJ6AmqwemohEwIECBAgQIAAAQLm8/J3wAJcvgbZMtBg2WgFJkCAAAECBAgQIBAtYD6PJkt+wAKcnLSegBqsnlrIhAABAgQIECBAgID5vPwdsACXr0G2DDRYNlqBCRAgQIAAAQIECEQLmM+jyZIfsAAnJ60noAarpxYyIUCAAAECBAgQIGA+L38HLMDla5AtAw2WjVZgAgQIECBAgAABAtEC5vNosuQHLMDJSesJqMHqqYVMCBAgQIAAAQIECJjPy98BC3D5GmTLQINloxWYAAECBAgQIECAQLSA+TyaLPkBC3By0noCarB6aiETAgQIECBAgAABAubz8nfAAly+Btky0GDZaAUmQIAAAQIECBAgEC1gPo8mS37AApyctJ6AGqyeWsiEAAECBAgQIECAgPm8/B2wAJevQbYMNFg2WoEJECBAgAABAgQIRAuYz6PJkh+wACcnrSegBqunFjIhQIAAAQIECBAgYD4vfwcswOVrkC0DDZaNVmACBAgQIECAAAEC0QLm82iy5AcswMlJ6wmoweqphUwIECBAgAABAgQImM/L3wELcPkaZMtAg2WjFZgAAQIECBAgQIBAtID5PJos+QELcHLSegJqsHpqIRMCBAgQIECAAAEC5vPyd8ACXL4G2TLQYNloBSZAgAABAgQIECAQLWA+jyZLfsACnJy0noAarJ5ayIQAAQIECBAgQICA+bz8HbAAl69Btgw0WDZagQkQIECAAAECBAhEC5jPo8mSH7AAJyetJ6AGq6cWMiFAgAABAgQIECBgPi9/ByzA5WuQLQMNlo1WYAIECBAgQIAAAQLRAubzaLLkByzAyUnrCajB6qmFTAgQIECAAAECBAiYz8vfAQtw+Rpky0CDZaMVmAABAgQIECBAgEC0gPk8miz5AQtwctJ6AmqwemohEwIECBAgQIAAAQLm8/J3wAJcvgbZMtBg2WgFJkCAAAECBAgQIBAtYD6PJkt+wAKcnLSegBqsnlrIhAABAgQIECBAgID5vPwdsACXr0G2DDRYNlqBCRAgQIAAAQIECEQLmM+jyZIfsAAnJ60noAarpxYyIUCAAAECBAgQIGA+L38HLMDla5AtAw2WjVZgAgQIECBAgAABAtEC5vNosuQHLMDJSesJqMHqqYVMCBAgQIAAAQIECJjPy98BC3D5GmTLQINloxWYAAECBAgQIECAQLSA+TyaLPkBC3By0noCarB6aiETAgQIECBAgAABAubz8nfAAly+Btky0GDZaAUmQIAAAQIECBAgEC1gPo8mS37AApyctJ6AGqyeWsiEAAECBAgQIECAgPm8/B2wAJevQbYMNFg2WoEJECBAgAABAgQIRAuYz6PJkh+wACcnrSegBqunFjIhQIAAAQIECBAgYD4vfwcswOVrkC0DDZaNVmACBAgQIECAAAEC0QLm82iy5AcswMlJ6wmoweqphUwIECBAgAABAgQImM/L3wELcPkaZMtAg2WjFZgAAQIECBAgQIBAtID5PJos+QELcHLSegJqsHpqIRMCBAgQIECAAAEC5vPyd8ACXL4G2TLQYNloBSZAgAABAgQIECAQLWA+jyZLfsACnJy0noAarJ5ayIQAAQIECBAgQICA+bz8HbAAl69Btgw0WDZagQkQIECAAAECBAhEC5jPo8mSH7AAJyetJ6AGq6cWMiFAgAABAgQIECBgPi9/ByzA5WuQLQMNlo1WYAIECBAgQIAAAQLRAubzaLLkByzAyUnrCajB6qmFTAgQIECAAAECBAiYz8vfAQtw+Rpky0CDZaMVmAABAgQIECBAgEC0gPk8miz5AQtwctJ6AmqwemohEwIECBAgQIAAAQLm8/J3wAJcvgbZMtBg2WgFJkCAAAECBAgQIBAtYD6PJkt+wAKcnLSegBqsnlrIhAABAgQIECBAgID5vPwdsACXr0G2DDRYNlqBCRAgQIAAAQIECEQLmM+jyZIfsAAnJ60noAarpxYyIUCAAAECBAgQIGA+L38HLMAFa/C5z30u/OxnPwu/+tWvwoMPPhh27NgRDjrooPCqV70qnHfeeWF3g3SbogbrVs45AgQIECBAgAABAukFzOfpTWMjWoBjxRK+fvbs2eHxxx8PL33pS8MLX/jCTuQNGzaEu+66K+yzzz7hW9/6VjjppJO6fkcN1jWdgwQIECBAgAABAgSSC5jPk5NGB7QAR5OlO3DTTTeFRYsWhenTpz8l6CWXXBLOOeec8IIXvCBs3rw5DA0NdfWmGqwrNocIECBAgAABAgQIZBEwn2dhjQpqAY7i6t2LDz300PD73/++8x3hhQsXdvXGGqwrNocIECBAgAABAgQIZBEwn2dhjQpqAY7i6t2LjzjiiPC73/0ubNy4MSxYsKCrN9ZgXbE5RIAAAQIECBAgQCCLgPk8C2tUUAtwFFdvXnzllVeG5cuXh8MOOyzceeed4VnPelZXb6zBumJziAABAgQIECBAgEAWAfN5FtaooBbgKK48L/7MZz7T+VHn5gOxmoW3+d/N7/9++9vf7vyOcLdfGqxbOecIECBAgAABAgQIpBcwn6c3jY1oAY4Vy/D617zmNeHHP/7xk5HnzJkTrrrqqvDKV75yQu+2tz+XdPfdd4f58+d3FmpfBAgQIECAAAECBAiUFbAAl/Vv3t0CXL4GT2bw6KOPdv4m8Mc+9rHwox/9KHziE58IH/rQh8bN0AI8LpEXECBAgAABAgQIECguYAEuXgILcPkS7JnB6OhoePnLXx5+8YtfhJGRkXDMMcd0laYG64rNIQIECBAgQIAAAQJZBMznWVijgvoOcBRX717c/F7weeedFy644ILOd4S7+dJg3ag5Q4AAAQIECBAgQCCPgPk8j2tMVAtwjFYPX3v55ZeHFStWhHe+853hkksu6eqdNVhXbA4RIECAAAECBAgQyCJgPs/CGhXUAhzF1bsXn3XWWWHVqlWh+U7w+9///q7eWIN1xeYQAQIECBAgQIAAgSwC5vMsrFFBLcBRXOlefOONN4b7778/nHbaaWHq1KlPBm5+//fLX/5yOPfcc8O0adPC7373u9B8KnQ3XxqsGzVnCBAgQIAAAQIECOQRMJ/ncY2JagGO0Ur42iuuuCKcffbZYfbs2Z2/9Ttr1qzw0EMPdT4F+oEHHgjTp0/vfAf4jDPO6PpdNVjXdA4SIECAAAECBAgQSC5gPk9OGh3QAhxNlubApk2bwle/+tVwww03hHvuuaez/O6zzz7h4IMPDq9+9avDv/3bv4UFCxZM6s002KT4HCZAgAABAgQIECCQVMB8npSzq2AW4K7Y+uOQBuuPOsmSAAECBAgQIECgHQLm8/J1tgCXr0G2DDRYNlqBCRAgQIAAAQIECEQLmM+jyZIfsAAnJ60noAarpxYyIUCAAAECBAgQIGA+L38HLMDla5AtAw2WjVZgAgQIECBAgAABAtEC5vNosuQHLMDJSesJqMHqqYVMCBAgQIAAAQIECJjPy98BC3D5GmTLQINloxWYAAECBAgQIECAQLSA+TyaLPkBC3By0noCarB6aiETAgQIECBAgAABAubz8nfAAly+Btky0GDZaAUmQIAAAQIECBAgEC1gPo8mS37AApyctJ6AGqyeWsiEAAECBAgQIECAgPm8/B2wAJevQbYMNFg2WoEJECBAgAABAgQIRAuYz6PJkh+wACcnrSegBqunFjIhQIAAAQIECBAgYD4vfwcswOVrkC0DDZaNVmACBAgQIECAAAEC0QLm82iy5AcswMlJ6wmoweqphUwIECBAgAABAgQImM/L3wELcPkaZMtAg2WjFZgAAQIECBAgQIBAtID5PJos+QELcHLSegJqsHpqIRMCBAgQIECAAAEC5vPyd8ACXL4G2TLQYNloBSZAgAABAgQIECAQLWA+jyZLfsACnJy0noAarJ5ayIQAAQIECBAgQICA+bz8HbAAl69Btgw0WDZagQkQIECAAAECBAhEC5jPo8mSH7AAJyetJ6AGq6cWMiFAgAABAgQIECBgPi9/ByzA5WuQLQMNlo1WYAIECBAgQIAAAQLRAubzaLLkByzAyUnrCajB6qmFTAgQIECAAAECBAiYz8vfAQtw+Rpky0CDZaMVmAABAgQIECBAgEC0gPk8miz5AQtwctJ6AmqwemohEwIECBAgQIAAAQLm8/J3wAJcvgbZMtBg2WgFJkCAAAECBAgQIBAtYD6PJkt+wAKcnLSegBqsnlrIhAABAgQIECBAgID5vPwdsACXr0G2DDRYNlqBCRAgQIAAAQIECEQLmM+jyZIfsAAnJ60noAarpxYyIUCAAAECBAgQIGA+L38HLMDla5AtAw2WjVZgAgQIECBAgAABAtEC5vNosuQHLMDJSesJqMHqqYVMCBAgQIAAAQIECJjPy98BC3D5GmTLQINloxWYAAECBAgQIECAQLSA+TyaLPkBC3By0noCarB6aiETAgQIECBAgAABAubz8nfAAly+Btky0GDZaAUmQIAAAQIECBAgEC1gPo8mS37AApyctJ6AGqyeWsiEAAECBAgQIECAgPm8/B2wAJevQbYMNFg2WoEJECBAgAABAgQIRAuYz6PJkh+wACcnrSegBqunFjIhQIAAAQIECBAgYD4vfwcswOVrkC0DDZaNVmACBAgQIECAAAEC0QLm82iy5AcswMlJ6wmoweqphUwIECBAgAABAgQImM/L3wELcPkaZMtAg2WjFZgAAQIECBAgQIBAtID5PJos+QELcHLSegJqsHpqIRMCBAgQIECAAAEC5vPyd8ACXL4G2TLQYNloBSZAgAABAgQIECAQLWA+jyZLfsACnJy0noAarJ5ayIQAAQIECBAgQICA+bz8HbAAl69Btgw0WDZagQkQIECAAAECBAhEC5jPo8mSH7AAJyetJ6AGq6cWMiFAgAABAgQIECBgPi9/ByzA5WuQLQMNlo1WYAIECBAgQIAAAQLRAubzaLLkByzAyUnrCajB6qmFTAgQIECAAAECBAiYz8vfAQtw+Rpky0CDZaMVmAABAgQIECBAgEC0gPk8miz5AQtwctJ6AmqwemohEwIECBAgQIAAAQLm8/J3wAJcvgbZMtBg2WgFJkCAAAECBAgQIBAtYD6PJkt+wAKcnLSegBqsnlrIhAABAgQIECBAgID5vPwdsACXr0G2DDRYNlqBCRAgQIAAAQIECEQLmM+jyZIfsAAnJ60noAarpxYyIUCAAAECBAgQIGA+L38HLMDla5AtAw2WjVZgAgQIECBAgAABAtEC5vNosuQHLMDJSesJqMHqqYVMCBAgQIAAAQIECJjPy98BC3D5GmTLQINloxWYAAECBAgQIECAQLSA+TyaLPkBC3By0noCarB6aiETAgQIECBAgAABAubz8nfAAly+Btky0GDZaAUmQIAAAQIECBAgEC1gPo8mS37AApyctJ6AGqyeWsiEAAECBAgQIECAgPm8/B2wAJevQbYMNFg2WoEJECBAgAABAgQIRAuYz6PJkh+wACcnrSegBqunFjIhQIAAAQIECBAgYD4vfwcswOVrkC2DtjTY1u07wzdu3RxGNm0Lj+18IsyYNjUce8iscMbRc8IBM6dl8xWYAAECBAgQIECAQIxAW+bzGJNev9YC3GvxHr7foDfYjtGxsHLNhrB6/X1hdGzXHrLDQ1PC6YvmhAuXLQzTh4d6KO+tCBAgQIAAAQIECOwpMOjzeT/U3ALcD1XqMsdBbrBm+V1+2brOd33H+1oyb/+wasViS/B4UP45AQIECBAgQIBAVoFBns+zwiUMbgFOiFlbqEFusA9+845w9botEyY/c/HccNGpR0749V5IgAABAgQIECBAILXAIM/nqa1yxbMA55KtIO6gNtiD23eEpZ9c+7Q/9rw39ubHoW8+/wS/E1zBvZQCAQIECBAgQKCtAoM6n/dTPS3A/VStyFwHtcG+uHZjuPj6uyI1QvjAiYeHdx2/IPqcAwQIECBAgAABAgRSCAzqfJ7CplcxLMC9ki7wPoPaYG+5dCTcuPGhaNHjDp0drnrbkuhzDhAgQIAAAQIECBBIITCo83kKm17FsAD3SrrA+wxqg53ypZvC7ZsfjRY9au5+4dpzlkafc4AAAQIECBAgQIBACoFBnc9T2PQqhgW4V9IF3mdQG8x3gAtcJm9JgAABAgQIECAwaYFBnc8nDdPDABbgHmL3+q0GtcH8DnCvb5L3I0CAAAECBAgQSCEwqPN5CptexbAA90q6wPsMaoP5FOgCl8lbEiBAgAABAgQITFpgUOfzScP0MIAFuIfYvX6rQW4wfwe417fJ+xEgQIAAAQIECExWYJDn88na9Oq8BbhX0gXeZ5AbbMfoWFh+2bowsmnbuLJL5u0fVq1YHKYPD437Wi8gQIAAAQIECBAgkEtgkOfzXGap41qAU4tWFG/QG6xZgleu+U1YvX5LGB3btYf88NCUcPqiOeHCZQstvxXdS6kQIECAAAECBNoqMOjzeT/U1QLcD1XqMse2NNjW7TvDNbdtCbfc83B4bOcTYca0qeHYQ2aFM46eEw6YOa1LPccIECBAgAABAgQIpBVoy3yeVi1tNAtwWs+qommwqsohGQIECBAgQIAAgZYLmM/LXwALcPkaZMtAg2WjFZgAAQIECBAgQIBAtID5PJos+QELcHLSegJqsHpqIRMCBAgQIECAAAEC5vPyd8ACXL4G2TLQYNloBSZAgAABAgQIECAQLWA+jyZLfsACnJy0noAarJ5ayIQAAQIECBAgQICA+bz8HbAAl69Btgw0WDZagQkQIECAAAECBAhEC5jPo8mSH7AAJyetJ6AGq6cWMiFAgAABAgQIECBgPi9/ByzA5WuQLQMNlo1WYAIECBAgQIAAAQLRAubzaLLkByzAyUnrCajB6qmFTAgQIECAAAECBAiYz8vfAQtw+Rpky0CDZaMVmAABAgQIECBAgEC0gPk8miz5AQtwctJ6AmqwemohEwIECBAgQIAAAQLm8/J3wAJcvgbZMtBg2WgFJkCAAAECBAgQIBAtYD6PJkt+wAKcnLSegBqsnlrIhAABAgQIECBAgID5vPwdsACXr0G2DDRYNlqBCRAgQIAAAQIECEQLmM+jyZIfsAAnJ60noAarpxYyIUCAAAECBAgQIGA+L38HLMDla5AtAw2WjVZgAgQIECBAgAABAtEC5vNosuQHLMDJSesJqMHqqYVMCBAgQIAAAQIECJjPy98BC3D5GmTLQINloxWYAAECBAgQIECAQLSA+TyaLPkBC3By0noCarB6aiETAgQIECBAgAABAubz8nfAAly+Btky0GDZaPcaeOv2neEbt24OI5u2hcd2PhFmTJsajj1kVjjj6DnhgJnTep+QdyRAgAABAgQIEKhGwHxevhQW4PI1yJZBPzVYvy+OO0bHwso1G8Lq9feF0bFde9R0eGhKOH3RnHDhsoVh+vBQtpoLTIAAAQIECBAgUK9AP83n9SpOLjML8OT8qj7dDw02CItj8wzLL1vX+a7veF9L5u0fVq1YbAkeD8o/J0CAAAECBAgMoEA/zOcDyP6UR7IAD3CFa2+wQVkcP/jNO8LV67ZM+CaduXhuuOjUIyf8ei8kQIAAAQIECBAYDIHa5/PBUH7mp7AAD3CVa2+wQVgcH9y+Iyz95Nqn/bHnvV2t5sehbz7/BL8TPMC959EIECBAgAABAk8nUPt83oaqWYAHuMo1N9igLI5fXLsxXHz9XdG36AMnHh7edfyC6HMOECBAgAABAgQI9K9AzfN5/6rGZW4BjvPqq1fX3GCDsji+5dKRcOPGh6LvxXGHzg5XvW1J9DkHCBAgQIAAAQIE+leg5vm8f1XjMrcAx3kle/Wf/vSncP3114c1a9aEW2+9Ndx7771hbGwsLFiwIJx22mnhve99b5gxY8ak3q/mBhuUxfGUL90Ubt/8aHSdjpq7X7j2nKXR5xwgQIAAAQIECBDoX4Ga5/P+VY3L3AIc55Xs1V/96lfD29/+9k68phEWLlwY/vjHP4abb745bN++PRxxxBHhhhtuCAceeGDX71lzgw3K4jgoi3zXl8xBAgQIECBAgACBCQvUPJ9P+CH6/IUW4EIFvPLKK8Mtt9wS3vOe94RDDz30ySweeOCBcPLJJ4fbb789nHnmmeHrX/961xnW3GCDsjgOyo9yd33JHCRAgAABAgQIEJiwQM3z+YQfos9faAGusIA///nPwyte8Yowbdq0zneF99lnn66yrLnBBmVxHJQP8+rqgjlEgAABAgQIECAQJVDzfB71IH38YgtwhcVrfj9433337WR2//33h+c///ldZVlzgw3S4jgIf86pqwvmEAECBAgQIECAQJRAzfN51IP08YstwBUW79e//nU48sgjw/DwcOf3gZvvBHfzVXuDDcriuGN0LCy/bF0Y2bRt3DItmbd/WLVicZg+PDTua72AAAECBAgQIEBgsARqn88HS/vpn8YCXGGVmw/Haj4ka9myZeHb3/521xnW3mCDtDg2z7JyzW/C6vVbwujYrj1qNjw0JZy+aE64cNlCy2/XN9pBAgQIECBAgEB/C9Q+n/e37sSytwBPzKlnr/re974XXve614WpU6d2/jzSy172snHfe3cj/f0L77777jB//vywYcOGcWOUesGgLY5bt+8M19y2Jdxyz8PhsZ1PhBnTpoZjD5kVzjh6TjhgZnffyS9VG+9LgAABAgQIECCQVsACnNazm2gW4G7UMp258847w9KlS8MjjzwSPv/5z4d3v/vdE3qnfl6Adz+gxXFCpfYiAgQIECBAgACBPhawAJcvngW4fA06Gdx3332d5Xfz5s3hve99b/jsZz876cw02KQJBSBAgAABAgQIECCQTMB8noyy60AW4K7p0h186KGHwnHHHRd++9vfhrPPPjtceumlYcqUKZN+Aw02aUIBCBAgQIAAAQIECCQTMJ8no+w6kAW4a7o0B5tPeX71q18dbrvttnDqqaeGa665JgwNpfmEYA2WpkaiECBAgAABAgQIEEghYD5PoTi5GBbgyflN6vTOnTvDSSedFH7yk5+EE088sfOJz/vss8+kYv7tYQ2WjFIgAgQIECBAgAABApMWMJ9PmnDSASzAkybsLsDY2Fh44xvfGK699trOjz//4Ac/CM95znO6C7aXUxosKadgBAgQIECAAAECBCYlYD6fFF+SwxbgJIzxQb7whS+Ec889t3PwlFNOCc997nOfNsjFF18cZs+eHf8GIQQN1hWbQwQIECBAgAABAgSyCJjPs7BGBbUAR3Gle/FHP/rRsHLlynEDbtq0KRx88MHjvu7pXqDBumJziAABAgQIECBAgEAWAfN5FtaooBbgKK7+erEG6696yZYAAQIECBAgQGCwBczn5etrAS5fg2wZaLBstAITIECAAAECBAgQiBYwn0eTJT9gAU5OWk9ADVZPLWRCgAABAgQIECBAwHxe/g5YgMvXIFsGGiwbrcAECBAgQIAAAQIEogXM59FkyQ9YgJOT1hNQg9VTC5kQIECAAAECBAgQMJ+XvwMW4PI1yJaBBstGKzABAgQIECBAgACBaAHzeTRZ8gMW4OSk9QTUYPXUQiYECBAgQIAAAQIEzOfl74AFuHwNsmWgwbLRCkyAAAECBAgQIEAgWsB8Hk2W/IAFODlpPQE1WD21kAkBAgQIECBAgAAB83n5O2ABLl+DbBlosGy0AhMgQIAAAQIECBCIFjCfR5MlP2ABTk5aT0ANVk8tZEKAAAECBAgQIEDAfF7+DliAy9cgWwYaLButwAQIECBAgAABAgSiBczn0WTJD1iAk5PWE1CD1VMLmRAgQIAAAQIECBAwn5e/Axbg8jXIloEGy0YrMAECBAgQIECAAIFoAfN5NFnyAxbg5KT1BNRg9dRCJgQIECBAgAABAgTM5+XvgAW4fA2yZaDBstEKTIAAAQIECBAgQCBawHweTZb8gAU4OWk9ATVYPbWQCQECBAgQIECAAAHzefk7YAEuX4NsGWiwbLQCEyBAgAABAgQIEIgWMJ9HkyU/YAFOTlpPwEFtsK3bd4Zv3Lo5jGzaFh7b+USYMW1qOPaQWeGMo+eEA2ZOq6cAMiFAgAABAgQIECDwNwKDOp/3U5EtwP1UrchcB63BdoyOhZVrNoTV6+8Lo2O79tAYHpoSTl80J1y4bGGYPjwUqeXlBAgQIECAAAECBPIKDNp8nlcrT3QLcB7XKqIOUoM1y+/yy9Z1vus73teSefuHVSsWW4LHg/LPCRAgQIAAAQIEeiowSPN5T+ESvpkFOCFmbaEGqcE++M07wtXrtkyY+MzFc8NFpx454dd7IQECBAgQIECAAIHcAoM0n+e2yhXfApxLtoK4g9JgD27fEZZ+cu3T/tjz3pibH4e++fwT/E5wBfdQCgQIECBAgAABAn8VGJT5vJ/raQHu5+qNk/ugNNgX124MF19/V3SlPnDi4eFdxy+IPucAAQIECBAgQIAAgRwCgzKf57DpVUwLcK+kC7zPoDTYWy4dCTdufCha8LhDZ4er3rYk+pwDBJL1WoIAACAASURBVAgQIECAAAECBHIIDMp8nsOmVzEtwL2SLvA+g9Jgp3zppnD75kejBY+au1+49pyl0eccIECAAAECBAgQIJBDYFDm8xw2vYppAe6VdIH3GZQG8x3gApfHWxIgQIAAAQIECCQXGJT5PDlMDwNagHuI3eu3GpQG8zvAvb453o8AAQIECBAgQCCHwKDM5zlsehXTAtwr6QLvMygN5lOgC1web0mAAAECBAgQIJBcYFDm8+QwPQxoAe4hdq/fapAazN8B7vXt8X4ECBAgQIAAAQKpBQZpPk9t06t4FuBeSRd4n0FqsB2jY2H5ZevCyKZt40oumbd/WLVicZg+PDTua72AAAECBAgQIECAQK8EBmk+75VZ6vexAKcWrSjeoDVYswSvXPObsHr9ljA6tmsP6eGhKeH0RXPChcsWWn4ruodSIUCAAAECBAgQ+KvAoM3n/VhXC3A/Vm2COQ9qg23dvjNcc9uWcMs9D4fHdj4RZkybGo49ZFY44+g54YCZ0yao42UECBAgQIAAAQIEeiswqPN5bxUn924W4Mn5VX1ag1VdHskRIECAAAECBAi0TMB8Xr7gFuDyNciWgQbLRiswAQIECBAgQIAAgWgB83k0WfIDFuDkpPUE1GD11EImBAgQIECAAAECBMzn5e+ABbh8DbJloMGy0U4qcPM7zN+4dXPnE639DvOkKB0mQIAAAQIECPSVgPm8fLkswOVrkC0DDZaNtqvAf/0U6w1h9fr7fIp1V4IOESBAgAABAgT6W8B8Xr5+FuDyNciWgQbLRhsd2N8xjiZzgAABAgQIECAwcALm8/IltQCXr0G2DDRYNtrowB/85h3h6nVbJnzuzMVzw0WnHjnh13shAQIECBAgQIBA/QLm8/I1sgCXr0G2DDRYNtqowA9u3xGWfnLt0/7Y894CDQ9NCTeff4K/axwl7cUECBAgQIAAgboFzOfl62MBLl+DbBlosGy0UYG/uHZjuPj6u6LONC/+wImHh3cdvyD6nAMECBAgQIAAAQJ1CpjPy9fFAly+Btky0GDZaKMCv+XSkXDjxoeizjQvPu7Q2eGqty2JPucAAQIECBAgQIBAnQLm8/J1sQCXr0G2DDRYNtqowKd86aZw++ZHo840Lz5q7n7h2nOWRp9zgAABAgQIECBAoE4B83n5uliAy9cgWwYaLBttVGDfAY7i8mICBAgQIECAwMAKmM/Ll9YCXL4G2TLQYNloowL7HeAoLi8mQIAAAQIECAysgPm8fGktwOVrkC0DDZaNNiqwT4GO4vJiAgQIECBAgMDACpjPy5fWAly+Btky0GDZaKMD+zvA0WQOECBAgAABAgQGTsB8Xr6kFuDyNciWgQbLRhsdeMfoWFh+2bowsmnbuGeXzNs/rFqxOEwfHhr3tV5AgAABAgQIECDQPwLm8/K1sgCXr0G2DDRYNtquAjdL8Mo1vwmr128Jo2O79ogxPDQlnL5oTrhw2ULLb1fCDhEgQIAAAQIE6hYwn5evjwW4fA2yZaDBstFOKvDW7TvDNbdtCbfc83B4bOcTYca0qeHYQ2aFM46eEw6YOW1SsR0mQIAAAQIECBCoV8B8Xr42FuDyNciWgQbLRiswAQIECBAgQIAAgWgB83k0WfIDFuDkpPUE1GD11EImBAgQIECAAAECBMzn5e+ABbh8DbJloMGy0QpMgAABAgQIECBAIFrAfB5NlvyABTg5aT0BNVg9tZAJAQIECBAgQIAAAfN5+TtgAS5fg2wZaLBstAITIECAAAECBAgQiBYwn0eTJT9gAU5OWk9ADVZPLWRCgAABAgQIECBAwHxe/g5YgMvXIFsGGiyE5k8OfePWzWFk0zZ/cijbTROYAAECBAgQIEBgIgLm84ko5X2NBTivb9HobW6wHaNjYeWaDWH1+vvC6NiuPeowPDQlnL5oTrhw2cIwfXioaJ28OQECBAgQIECAQDsE2jyf11JhC3AtlciQR1sbrFl+l1+2rvNd3/G+lszbP6xasdgSPB6Uf06AAAECBAgQIDBpgbbO55OGSxjAApwQs7ZQbW2wD37zjnD1ui0TLseZi+eGi049csKv90ICBAgQIECAAAEC3Qi0dT7vxirXGQtwLtkK4raxwR7cviMs/eTap/2x572VpPlx6JvPPyEcMHNaBVWTAgECBAgQIECAwKAKtHE+r62WFuDaKpIwnzY22BfXbgwXX39XtOIHTjw8vOv4BdHnHCBAgAABAgQIECAwUYE2zucTtenV6yzAvZIu8D5tbLC3XDoSbtz4ULT2cYfODle9bUn0OQcIECBAgAABAgQITFSgjfP5RG169ToLcK+kC7xPGxvslC/dFG7f/Gi09lFz9wvXnrM0+pwDBAgQIECAAAECBCYq0Mb5fKI2vXqdBbhX0gXep40N5jvABS6atyRAgAABAgQIEJiQQBvn8wnB9PBFFuAeYvf6rdrYYH4HuNe3zPsRIECAAAECBAhMVKCN8/lEbXr1Ogtwr6QLvE8bG8ynQBe4aN6SAAECBAgQIEBgQgJtnM8nBNPDF1mAe4jd67dqa4P5O8C9vmnejwABAgQIECBAYCICbZ3PJ2LTq9dYgHslXeB92tpgO0bHwvLL1oWRTdvGVV8yb/+wasXiMH14aNzXegEBAgQIECBAgACByQi0dT6fjFnqsxbg1KIVxWtzgzVL8Mo1vwmr128Jo2O79qjK8NCUcPqiOeHCZQstvxXdWakQIECAAAECBAZZoM3zeS11tQDXUokMeWiwELZu3xmuuW1LuOWeh8NjO58IM6ZNDcceMiuccfSccMDMaRnUhSRAgAABAgQIECDw9ALm8/I3wwJcvgbZMtBgf12Av3Hr5s6PQ1uAs101gQkQIECAAAECBCYgYD6fAFLml1iAMwOXDN/mBvvrj0BvCKvX3+dHoEteQu9NgAABAgQIECDwpECb5/NaroEFuJZKZMijrQ3mQ7AyXCYhCRAgQIAAAQIEJi3Q1vl80nAJA1iAE2LWFqqtDebPINV2E+VDgAABAgQIECDQCLR1Pq+p+hbgmqqROJc2NtiD23eEpZ9c+7Q/9rw33uYToW8+/wQfipX4/glHgAABAgQIECDwVIE2zue13QELcG0VSZhPGxvsi2s3houvvyta8QMnHh7edfyC6HMOECBAgAABAgQIEJioQBvn84na9Op1FuBeSRd4nzY22FsuHQk3bnwoWvu4Q2eHq962JPqcAwQIECBAgAABAgQmKtDG+XyiNr16nQW4V9IF3qeNDXbKl24Kt29+NFr7qLn7hWvPWRp9zgECBAgQIECAAAECExVo43w+UZtevc4C3CvpAu/TxgbzHeACF81bEiBAgAABAgQITEigjfP5hGB6+CILcA+xe/1WbWwwvwPc61vm/QgQIECAAAECBCYq0Mb5fKI2vXqdBbhX0gXep40N5lOgC1w0b0mAAAECBAgQIDAhgTbO5xOC6eGLLMA9xO71W7W1wfwd4F7fNO9HgAABAgQIECAwEYG2zucTsenVayzAvZIu8D5tbbAdo2Nh+WXrwsimbeOqL5m3f1i1YnGYPjw07mu9gAABAgQIECBAgMBkBNo6n0/GLPVZC3Bq0YritbnBmiV45ZrfhNXrt4TRsV17VGV4aEo4fdGccOGyhZbfiu6sVAgQIECAAAECgyzQ5vm8lrpagGupRIY8NFgIW7fvDNfctiXccs/D4bGdT4QZ06aGYw+ZFc44ek44YOa0DOpCEiBAgAABAgQIEHh6AfN5+ZthAS5fg2wZaLBstAITIECAAAECBAgQiBYwn0eTJT9gAU5OWk9ADVZPLWRCgAABAgQIECBAwHxe/g5YgMvXIFsGGiwbrcAECBAgQIAAAQIEogXM59FkyQ9YgJOT1hNQg9VTC5kQIECAAAECBAgQMJ+XvwMW4PI1yJaBBstGKzABAgQIECBAgACBaAHzeTRZ8gMW4OSk9QTUYPXUQiYECBAgQIAAAQIEzOfl74AFuHwNsmWgwbLRCkyAAAECBAgQIEAgWsB8Hk2W/IAFODlpPQE1WD21kAkBAgQIECBAgAAB83n5O2ABLl+DbBlosGy0AhMgQIAAAQIECBCIFjCfR5MlP2ABTk5aT0ANVk8tZEKAAAECBAgQIEDAfF7+DliAy9cgWwYaLButwAQIECBAgAABAgSiBczn0WTJD1iAk5PWE1CD1VMLmRAgQIAAAQIECBAwn5e/Axbg8jXIloEGy0YrMAECBAgQIECAAIFoAfN5NFnyAxbg5KQTC7h+/frwwx/+MKxbty6MjIyE+++/P0ybNi3s2LFjYgEm8CoNNgEkLyFAgAABAgQIECDQIwHzeY+gn+FtLMCFavCGN7whXHfddU95dwtwoWJ4WwIECBAgQIAAAQI9ELAA9wB5nLewABeqwac+9anwpz/9KRxzzDGd/zvooIN8B7hQLbwtAQIECBAgQIAAgV4IWIB7ofzM72EBLl+DTgZTpkyxAFdSC2kQIECAAAECBAgQyCFgAc6hGhfTAhznle3VFuBstAITIECAAAECBAgQqELAAly+DBbg8jXwHeBKaiANAgQIECBAgAABAjkFLMA5dScW2wI8Mafsr/Id4OzE3oAAAQIECBAgQIBAUQELcFH+v37jcdeuXbvKpyGDySzAuxvp7xXvvvvuMH/+/LBhwwbABAgQIECAAAECBAgUFrAAFy6ABbh8AXZnYAGupxYyIUCAAAECBAgQIJBDwAKcQzUupu8Ax3lle/VkFuC9JaXBspVLYAIECBAgQIAAAQLRAubzaLLkByzAyUm7C2gB7s7NKQIECBAgQIAAAQL9ImABLl8pC3D5GnQysABXUghpECBAgAABAgQIEMgkYAHOBBsR1gIcgZXzpRbgnLpiEyBAgAABAgQIECgvYAEuXwMLcPka+A5wJTWQBgECBAgQIECAAIGcAhbgnLoTi20BnphT8ld997vfDR//+MefjDsyMtL5MejFixc/+f/vggsuCCeffHLX763BuqZzkAABAgQIECBAgEByAfN5ctLogBbgaLI0B6644opw9tlnP2Owyy+/PJx11lldv6EG65rOQQIECBAgQIAAAQLJBcznyUmjA1qAo8n654AG659ayZQAAQIECBAgQGDwBczn5WtsAS5fg2wZaLBstAITIECAAAECBAgQiBYwn0eTJT9gAU5OWk9ADVZPLWRCgAABAgQIECBAwHxe/g5YgMvXIFsGGiwbrcAECBAgQIAAAQIEogXM59FkyQ9YgJOT1hNQg9VTi7ZnsnX7zvCNWzeHkU3bwmM7nwgzpk0Nxx4yK5xx9JxwwMxpbefx/AQIECBAgEBLBMzn5QttAS5fg2wZaLBstAJPUGDH6FhYuWZDWL3+vjA6tmuPU8NDU8Lpi+aEC5ctDNOHhyYY1csIECBAgAABAv0pYD4vXzcLcPkaZMtAg2WjFXgCAs3yu/yydZ3v+o73tWTe/mHVisWW4PGg/HMCBAgQIECgrwXM5+XLZwEuX4NsGWiwbLQCT0Dgg9+8I1y9bssEXvnXl5y5eG646NQjJ/x6LyRAgAABAgQI9JuA+bx8xSzA5WuQLQMNlo1W4HEEHty+Iyz95Nqn/bHnvR1tfhz65vNP8DvBbhcBAgQIECAwsALm8/KltQCXr0G2DDRYNlqBxxH44tqN4eLr74p2+sCJh4d3Hb8g+pwDBAgQIECAAIF+EDCfl6+SBbh8DbJloMGy0Qo8jsBbLh0JN258KNrpuENnh6vetiT6nAMECBAgQIAAgX4QMJ+Xr5IFuHwNsmWgwbLRCjyOwClfuincvvnRaKej5u4Xrj1nafQ5BwgQIECAAAEC/SBgPi9fJQtw+Rpky0CDZaMVeBwB3wF2RQgQIECAAAECewqYz8vfCgtw+Rpky0CDZaMVeBwBvwPsihAgQIAAAQIELMA13gELcI1VSZSTBTgRpDDRAj4FOprMAQIECBAgQKAFAubz8kW2AJevQbYMNFg2WoEnIODvAE8AyUsIECBAgACBVgmYz8uX2wJcvgbZMtBg2WgFnoDAjtGxsPyydWFk07ZxX71k3v5h1YrFYfrw0Liv9QICBAgQIECAQL8KmM/LV84CXL4G2TLQYNloBZ6gQLMEr1zzm7B6/ZYwOrZrj1PDQ1PC6YvmhAuXLbT8TtDUywgQIECAAIH+FTCfl6+dBbh8DbJloMGy0QocKbB1+85wzW1bwi33PBwe2/lEmDFtajj2kFnhjKPnhANmTouM5uUECBAgQIAAgf4UMJ+Xr5sFuHwNsmWgwbLRCkyAAAECBAgQIEAgWsB8Hk2W/IAFODlpPQE1WD21kAkBAgQIECBAgAAB83n5O2ABLl+DbBlosGy0AhMgQIAAAQIECBCIFjCfR5MlP2ABTk5aT0ANVk8tZEKAAAECBAgQIEDAfF7+DliAy9cgWwYaLButwAQIECBAgAABAgSiBczn0WTJD1iAk5PWE1CD1VMLmRAgQIAAAQIECBAwn5e/Axbg8jXIlkHpBmv+9M03bt0cRjZt86dvslVZYAIECBAgQIAAgX4RKD2f94tTzjwtwDl1C8cu1WA7RsfCyjUbwur194XRsV17KAwPTQmnL5oTLly2MEwfHiqs5O0JECBAgAABAgQI9Eag1Hzem6frj3exAPdHnbrKskSDNcvv8svWdb7rO97Xknn7h1UrFluCx4PyzwkQIECAAAECBAZCoMR8PhBwCR/CApwQs7ZQJRrsg9+8I1y9bsuEKc5cPDdcdOqRE369FxIgQIAAAQIECBDoV4ES83m/WuXK2wKcS7aCuL1usAe37whLP7n2aX/seW8czY9D33z+CeGAmdMqEJMCAQIECBAgQIAAgXwCvZ7P8z1J/0a2APdv7cbNvNcN9sW1G8PF1981bl5//4IPnHh4eNfxC6LPOUCAAAECBAgQIECgnwR6PZ/3k02vcrUA90q6wPv0usHeculIuHHjQ9FPetyhs8NVb1sSfc4BAgQIECBAgAABAv0k0Ov5vJ9sepWrBbhX0gXep9cNdsqXbgq3b340+kmPmrtfuPacpdHnHCBAgAABAgQIECDQTwK9ns/7yaZXuVqAeyVd4H163WC+A1ygyN6SAAECBAgQIECgbwR6PZ/3DUwPE7UA9xC712/V6wbzO8C9rrD3I0CAAAECBAgQ6CeBXs/n/WTTq1wtwL2SLvA+vW4wnwJdoMjekgABAgQIECBAoG8Eej2f9w1MDxO1APcQu9dvVaLB/B3gXlfZ+xEgQIAAAQIECPSLQIn5vF9sepWnBbhX0gXep0SD7RgdC8svWxdGNm0b94mXzNs/rFqxOEwfHhr3tV5AgAABAgQIECBAoN8FSszn/W6WOn8LcGrRiuKVarBmCV655jdh9fotYXRs1x4iw0NTwumL5oQLly20/FZ0X6RCgAABAgQIECCQV6DUfJ73qforugW4v+oVlW3pBtu6fWe45rYt4ZZ7Hg6P7XwizJg2NRx7yKxwxtFzwgEzp0U9ixcTIECAAAECBAgQ6HeB0vN5v/ulyN8CnEKx0hgarNLCSIsAAQIECBAgQKCVAubz8mW3AJevQbYMNFg2WoEJECBAgAABAgQIRAuYz6PJkh+wACcnrSegBqunFjIhQIAAAQIECBAgYD4vfwcswOVrkC0DDZaNVmACBAgQIECAAAEC0QLm82iy5AcswMlJ6wmoweqphUwIECBAgAABAgQImM/L3wELcPkaZMtAg2WjFZgAAQIECBAgQIBAtID5PJos+QELcHLSegJqsHpqIRMCBAgQIECAAAEC5vPyd8ACXL4G2TLQYNloBSZAgAABAgQIECAQLWA+jyZLfsACnJy0noAarJ5ayIQAAQIECBAgQICA+bz8HbAAl69Btgw0WDZagQkQIECAAAECBAhEC5jPo8mSH7AAJyetJ6AGq6cWMiFAgAABAgQIECBgPi9/ByzA5WuQLQMNlo1WYAIECBAgQIAAAQLRAubzaLLkByzAyUnrCajB6qmFTAgQIECAAAECBAiYz8vfAQtw+Rpky0CDZaMVmAABAgQIECBAgEC0gPk8miz5AQtwctJ6AmqwemohEwIECBAgQIAAAQLm8/J3wAJcvgbZMtBg2WgFJkCAAAECBAgQIBAtYD6PJkt+wAKcnLSegDNnzgyjo6Nh/vz59SQlEwIECBAgQIAAAQItFbj77rvD8PBw2L59e0sFyj+2Bbh8DbJlcNBBB4XHH388zJ07N9t7CPz0As2/3Jov//Fh8G+IWg9+jXc/oVqrdXsE2vOk+lqtey2wefPmsO+++4Y//OEPvX5r7/f/BSzArgKBDAJ+vCUDaqUh1brSwmRIS60zoFYaUq0rLUyGtNQ6A2qlIdW60sIUSMsCXADdWw6+gH/JDn6Ndz+hWqt1ewTa86T6Wq3bI9CeJ9XX7an1eE9qAR5PyD8n0IWAf8l2gdanR9S6TwvXRdpq3QVanx5R6z4tXBdpq3UXaH16RK37tHAZ0rYAZ0AVkoB/ybbnDqi1WrdHoD1Pqq/Vuj0C7XlSfd2eWo/3pBbg8YT8cwJdCPiXbBdofXpErfu0cF2krdZdoPXpEbXu08J1kbZad4HWp0fUuk8LlyFtC3AGVCEJ+Jdse+6AWqt1ewTa86T6Wq3bI9CeJ9XX7an1eE9qAR5PyD8nQIAAAQIECBAgQIAAgYEQsAAPRBk9BAECBAgQIECAAAECBAiMJ2ABHk/IPydAgAABAgQIECBAgACBgRCwAA9EGT0EAQIECBAgQIAAAQIECIwnYAEeT8g/J0CAAAECBAgQIECAAIGBELAAD0QZPQQBAgQIECBAgAABAgQIjCdgAR5PyD8nQIAAAQIECBAgQIAAgYEQsAAPRBk9RC0CO3bsCBdddFG4+uqrw+bNm8P+++8fXvva14aPfexj4UUvelEtacpjkgLr168PP/zhD8O6devCyMhIuP/++8O0adNCU39fgyPwpz/9KVx//fVhzZo14dZbbw333ntvGBsbCwsWLAinnXZaeO973xtmzJgxOA/c8if53Oc+F372s5+FX/3qV+HBBx/s9PNBBx0UXvWqV4Xzzjsv7P4boi1nGsjH37ZtWzjiiCPC1q1bw+GHHx5++9vfDuRztvGhmv694YYb9vro3//+9ztzmq92CViA21VvT5tRoBmWTjjhhHDzzTeH5z//+eG4447rDMzNknTAAQeEn//852H+/PkZMxC6VwJveMMbwnXXXfeUt7MA90q/d+/z1a9+Nbz97W/vvGGz/CxcuDD88Y9/7PT49u3bOwNzM1gdeOCBvUvKO2UTmD17dnj88cfDS1/60vDCF76w8z4bNmwId911V9hnn33Ct771rXDSSSdle3+BywmcddZZ4corrwy7du2yAJcrQ5Z33r0AN//R8un+g+X73ve+cOSRR2Z5b0HrFbAA11sbmfWZwEc+8pHw8Y9/PLz85S/vfNdo979om+8qNP+C/Zd/+Zdn/K+Qffa4rU73U5/6VGi+O3jMMcd0/q/5LpEFePCuRDMQ33LLLeE973lPOPTQQ598wAceeCCcfPLJ4fbbbw9nnnlm+PrXvz54D9/CJ7rpppvCokWLwvTp05/y9Jdcckk455xzwgte8ILOT/YMDQ21UGdwH/nHP/5xeM1rXhPe8Y53hK985SsW4AEr9e4FeNOmTeHggw8esKfzON0KWIC7lXOOwN8IjI6Odr4L9Oijj4Zf/OIX4aijjnqKz8te9rJwxx13hNtuu60zYPkaLIEpU6ZYgAerpOM+TfMTHa94xSs6dW++K9x8h9DX4Ao0/wHk97//fec7ws1PAvgaDIE///nPne/47/4O/2GHHWYBHozSPvkUFuABK2iix7EAJ4IUpt0CP/nJT8KrX/3qzo84N0PS33813xluvkN84YUXho9+9KPtxhrAp7cAD2BRx3mk5icA9t13386rmt8Bb37twdfgCjQ/7v673/0ubNy4sfM74L4GQ+D8888Pn/70p8NPf/rTMHfu3DBv3jwL8GCU1gI8YHVM/TgW4NSi4rVS4POf/3znxyTf+MY3hmuuuWYPg+9+97vhda97XWh+d/Taa69tpdEgP7QFeJCr+/TP9utf/7rze2PDw8Od3wduvhPsazAFmh+FX758eWi+O3jnnXeGZz3rWYP5oC17quanspqfyHrrW98aLr300s5ndliAB+8S7P4O8Ic//OHw8MMPd/q36eVmHmv+o4evdgpYgNtZd0+dWKD5NNj/+I//6CzBze/8/v3Xf//3f4d//Md/DP/0T/8Umk8Q9jVYAhbgwarnRJ6m+XCs5kOyli1bFr797W9P5IjX9InAZz7zmc6POjcfiNUsvM3/bn7/t6mzX2HpkyKOk+Zf/vKXzud13HPPPZ1PfJ41a5YFeDBKu8dT7O1ToJv/eHnBBRd0/s9X+wQswO2ruSfOINB8eMZ//dd/hQ996EPhE5/4xB7v0PxYdPM7ZM1/dWx+jM7XYAlYgAernuM9zfe+973OT3RMnTq18+eRmt/x9zU4As0HIjUfjLT7a86cOeGqq64Kr3zlKwfnIVv+JF/4whfCueeeGy6//PLQfAJ08+U7wIN5KZpfP2tmr+YzG5pfVdmyZUtYvXp1Z1Zrfge8+Qm+d7/73YP58J5qrwIWYJeDQAKB3d8Nan7Epvl937//an5vrPkXsAU4AXaFISzAFRYlU0rNdwSXLl0aHnnkEYNTJuNawjYfatj8TeDm77j/6Ec/6gzMzX/k9NXfAs0C1HyQWfPd/OZ3f3d/WYD7u66x2Td/rePEE08Mz3ve80Lzyf7PfvazY0N4fR8LWID7uHhSr0fAj0DXU4sSmViAS6j3/j3vu+++zvLb/Cmcpuc/+9nP9j4J79hzgeZT/psfl20+4X9kZKTzp8989a9A82sLzfLzy1/+Mrz4xS+2APdvKSededPLzV/nWLt2bTj++OMnHU+A/hGwAPdPrWRasYAPwaq4OD1IzQLcRaX/SgAACcNJREFUA+TCb/HQQw+F4447rvP7gmeffXbnQ3Oauvtqh0Dze8HnnXde5/cFm+8I++pfgaZv99tvvz1+dWHHjh2d/8DRfCdw8eLFnQf8zne+E2bMmNG/DyvzZxR405veFK6++urwta99LTT/21d7BCzA7am1J80oMNE/g9T8LsrKlSszZiJ0CQELcAn13r1n8ynPzZ85a75TcOqpp3Y+6X1oaKh3CXin4gLN74quWLEivPOd7wyXXHJJ8Xwk0L1AzH+4an7VoVmWfQ2mwEknnRR+8IMfhOuuuy68/vWvH8yH9FRPK2ABdjEIJBD4v//7v3DggQeG//3f/+38mNxRRx31lKjNh+Q0f3Jh3bp1fnwugXdtISzAtVUkXT47d+4MzZDU/Eeu5vfFmk8C3meffdK9gUh9IdB8UNKqVatC853g97///X2RsyTjBPwOcJxXv79669atnT971Xzae/N74S960Yv6/ZHkHyFgAY7A8lICzyTQfADWv//7v3c+abD5/aJ999238/LmzyK9733vC//8z/8cbrzxRogDKGABHsCihhDGxsY6f9u7+dvdzY8/N98peM5znjOYD9vyp2r+3Xz//feH0047rfPp3ru/mt///fKXv9z5xODmbz03n+LffCq0r8ETsAAPXk1vueWWzic9N38K6W+/89/U+s1vfnO46aabOt/5bb4D7KtdAhbgdtXb02YUaH5/qPmXbPM7RM1H7TcD8//8z/90/r+bvzHY/It4wYIFGTMQulcC3/3ud5/yad9NjZv/x3X37401eTS/K3jyySf3KiXvk0Fg959KaUKfcsop4bnPfe7TvsvFF18cZs+enSEDIXslcMUVV3R+t7upY/PpwM2/s5vf+24+Bbr5hNjp06d3vgN8xhln9Col79NjAQtwj8F78Ha7+7qZyZq/wnHQQQeF5sMM169fH5qZ7SUveUnnA7Can+Dz1S4BC3C76u1pMws0/6XxoosuCl//+tc7P1LzD//wD+G1r31tZ1nyXYPM+D0Mv/v/UX2mt/zbvy/Zw9S8VUKBj370oxP6nf1NmzaFg/9fe/fvUuUXxwH8g4ikW0tLYYKTglkRFpSL1OQgTm0SbiZdcAijlloqnSoNGoJ0a4rAtgJpUBsqCH8NakP4L0QRUfE8hCB9Iavne32u59Xqved8Pq/PGXzbc89taSlwZ0tVWyCb4cOHD+Ply5fx/v37PPxmj7pnc80+/12pVPwBs9pDqfJ+AnCVwauwXfa1dRMTE/l/RGS/k2Wf6c6ezstu/86e7hkaGvL1R1WYQxm3EIDLOBU1ESBAgAABAgQIECBAgEDhAgJw4aQWJECAAAECBAgQIECAAIEyCgjAZZyKmggQIECAAAECBAgQIECgcAEBuHBSCxIgQIAAAQIECBAgQIBAGQUE4DJORU0ECBAgQIAAAQIECBAgULiAAFw4qQUJECBAgAABAgQIECBAoIwCAnAZp6ImAgQIECBAgAABAgQIEChcQAAunNSCBAgQIECAAAECBAgQIFBGAQG4jFNREwECBAgQIECAAAECBAgULiAAF05qQQIECBAgQIAAAQIECBAoo4AAXMapqIkAAQIECBAgQIAAAQIEChcQgAsntSABAgQIECBAgAABAgQIlFFAAC7jVNREgAABAgQIECBAgAABAoULCMCFk1qQAAECBAj8m8D09HRcuHAhOjs74/Xr11FfX//LgnNzc9Hd3R0HDhyI1dXV2L9//79t6t0ECBAgQCABAQE4gSFrkQABAgRqT+DcuXPx4sWLuH37doyOjm5r4MuXL3H06NE8+D5+/DjOnz9few2qmAABAgQI7IKAALwL6LYkQIAAAQK/E9jY2IiOjo78ZYuLi9Ha2rr1luvXr8eNGzeit7c3nj179rul/JwAAQIECBD4KSAAOwoECBAgQKCkAmNjY3HlypU4e/ZsPH/+PK9yZWUljh07Fg0NDbG8vBzNzc0lrV5ZBAgQIECgfAICcPlmoiICBAgQIJALfP36NU6cOBHv3r2LqampGBgYiDNnzsT8/HzcvXs3KpUKKQIECBAgQOAPBATgP8DyUgIECBAgUG2B7BKskydP5pdcXbp0KbLHn7u6umJhYSHq6uqqXY79CBAgQIBATQsIwDU9PsUTIECAQAoCIyMjcefOnbzV7EboN2/exJEjR1JoXY8ECBAgQKBQAQG4UE6LESBAgACB4gU+fPgQhw8fzhe+ePFi3L9/v/hNrEiAAAECBBIQEIATGLIWCRAgQKC2BQYHB+PRo0d5Ey0tLfnlV01NTbXdlOoJECBAgMAuCAjAu4BuSwIECBAgsFOB2dnZ6OnpiUOHDuW3P8/MzMTly5djfHx8p0t4HQECBAgQIPBTQAB2FAgQIECAQEkFPn/+nH/Wd21tLZ4+fZpfftXW1hYfP36M7HKszs7OklauLAIECBAgUE4BAbicc1EVAQIECBCIq1evxq1bt6K/vz+ePHmSizx48CCGhobcBO18ECBAgACBvxAQgP8CzVsIECBAgMD/LbC0tBTHjx+PxsbGWFlZiYMHD+Zbfv/+feu7gO/du5d/NZJ/BAgQIECAwM4EBOCdOXkVAQIECBComsC3b9/i9OnT8erVq5icnIzh4eFte2eXYGWfB963b1+srq5uheOqFWgjAgQIECBQowICcI0OTtkECBAgsHcFJiYmolKpxKlTp2Jubi7q6up+afbatWtx8+bNbY9H710RnREgQIAAgWIEBOBiHK1CgAABAgQKEdjc3Iz29vb49OlTvH37Njo6Ov5z3eyCrOxn6+vr+QVZfX19hexvEQIECBAgsJcFBOC9PF29ESBAgAABAgQIECBAgMCWgADsMBAgQIAAAQIECBAgQIBAEgICcBJj1iQBAgQIECBAgAABAgQICMDOAAECBAgQIECAAAECBAgkISAAJzFmTRIgQIAAAQIECBAgQICAAOwMECBAgAABAgQIECBAgEASAgJwEmPWJAECBAgQIECAAAECBAgIwM4AAQIECBAgQIAAAQIECCQhIAAnMWZNEiBAgAABAgQIECBAgIAA7AwQIECAAAECBAgQIECAQBICAnASY9YkAQIECBAgQIAAAQIECAjAzgABAgQIECBAgAABAgQIJCEgACcxZk0SIECAAAECBAgQIECAgADsDBAgQIAAAQIECBAgQIBAEgICcBJj1iQBAgQIECBAgAABAgQICMDOAAECBAgQIECAAAECBAgkISAAJzFmTRIgQIAAAQIECBAgQICAAOwMECBAgAABAgQIECBAgEASAgJwEmPWJAECBAgQIECAAAECBAgIwM4AAQIECBAgQIAAAQIECCQh8ANFCZKtW+DmKgAAAABJRU5ErkJggg==\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "fig.add_subplot(1,1,1)\n",
    "plt.scatter(x[:10],z[:10])\n",
    "plt.xlabel('X')\n",
    "plt.savefig('x-z_plot_orion.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.5 Show Apparent Positions from Earth\n",
    "\n",
    "> Comments by t-w-g\n",
    "This is included so that we can have a plot of how things 'should' look from Earth.\n",
    "\n",
    ">> Not sure why Alnitak at left of Orion's belt looks so wrong... Otherwise the constellation is recognizable on the plot- just need to squish the 'x' axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "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",
       "    // 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",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\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.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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\", \"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.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = 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": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figAD = plt.figure(figsize=(6,11))\n",
    "figAD.add_subplot(1,1,1)\n",
    "# a_dec = []\n",
    "# for loc in a:\n",
    "#     a_dec.append((loc[0] + loc[1]/60)/24)\n",
    "    \n",
    "# d_dec = []\n",
    "# for loc in d:\n",
    "#     d_dec.append(((loc[0] + loc[1]/60)/90)/1.5)\n",
    "\n",
    "plt.scatter(a_deg, d_deg)\n",
    "\n",
    "plt.savefig('ra+d_orion.png')\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",
    "\n",
    "\n",
    "> Comment by t-w-g\n",
    ">> Adding in marker shapes, colors, and labels to help identify which stars are which. With the 'dummy' star all three axes are roughly scaled with one another. From this plot you can see the four outer stars (Betelgeuse, Bellatrix, Rigel, and Saiph) as orange triangles. They are all closer to Earth (in blue) than the belt stars (in red).\n",
    "\n",
    ">> If you align the 3d plot correctly, you can see approximately the perspective from Earth. Very nice...\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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",
       "    // 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",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\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.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, 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\", \"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.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = 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": {
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width=\"799.999953761248\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_3d = plt.figure(figsize=(8,8))\n",
    "constellation3d = fig_3d.add_subplot(1,1,1,projection='3d')\n",
    "constellation3d.scatter(x[0], y[0], z[0], marker = '^', color = 'orange', label = names[0])\n",
    "constellation3d.scatter(x[1], y[1], z[1], marker = 'v', color = 'orange', label = names[1])\n",
    "constellation3d.scatter(x[2], y[2], z[2], marker = '>', color = 'orange', label = names[2] )\n",
    "constellation3d.scatter(x[3], y[3], z[3], marker = 's', color = 'red', label = names[3])\n",
    "constellation3d.scatter(x[4], y[4], z[4], marker = 'D', color = 'red', label = names[4])\n",
    "constellation3d.scatter(x[5], y[5], z[5], marker = 'd', color = 'red', label = names[5])\n",
    "constellation3d.scatter(x[6], y[6], z[6], marker = '<', color = 'orange', label = names[6])\n",
    "constellation3d.scatter(x[7], y[7], z[7], marker = '*', color = 'm', label = names[7])\n",
    "constellation3d.scatter(x[8], y[8], z[8], marker = 'H', color = 'm', label = names[8])\n",
    "constellation3d.scatter(x[9], y[9], z[9], marker = '+', color = 'black', label = names[9])\n",
    "constellation3d.scatter(x[-1],y[-1],z[-1], marker = 'o', color = 'blue', label = names[10])\n",
    "\n",
    "constellation3d.set_xlabel('X coord')\n",
    "constellation3d.set_ylabel('Y coord')\n",
    "constellation3d.set_zlabel('Z coord')\n",
    "\n",
    "plt.legend(loc=4)\n",
    "plt.savefig('3d_actual_orientation_orion.png')\n",
    "plt.show()"
   ]
  },
  {
   "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": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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