example-analysis-cgm.ipynb

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    "# This is an examples of how to perform a CGM analysis using the rb_spec.py pipeline\n",
    "\n",
    "\n",
    "## Written By: Rongmon Bordoloi\n",
    "----------------\n",
    "\n",
    "The goal of this notebook is to show a running example analysing absorption line spectra. We will read in a fits file of a HST/COS quasar, pick one absorption line, continuum normalize it locally and then compute the EW and AOD column density of that line. \n",
    "\n",
    "This pipeline allows one to do a batch mode continuum normalization or an interactive local continuum normalization\n",
    "\n",
    "\n",
    "-----------------\n",
    "Example Created: Feb 11, 2021\n",
    "\n",
    "Tested on Python 3.7\n",
    "https://github.com/rongmon/rbcodes\n",
    "\n",
    "-------------------\n",
    "## Requirements: \n",
    "\n",
    "astropy, numpy, scipy, matplotlib,linetools\n",
    "\n",
    "\n",
    "\n",
    "linetools for input output of fits files, and for COS LSF\n",
    "\n"
   ]
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     "ename": "IndentationError",
     "evalue": "unindent does not match any outer indentation level (rb_spec.py, line 274)",
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     "traceback": [
      "Traceback \u001b[0;36m(most recent call last)\u001b[0m:\n",
      "\u001b[0m  File \u001b[1;32m~/opt/anaconda3/envs/zgui/lib/python3.9/site-packages/IPython/core/interactiveshell.py:3460\u001b[0m in \u001b[1;35mrun_code\u001b[0m\n    exec(code_obj, self.user_global_ns, self.user_ns)\u001b[0m\n",
      "\u001b[0;36m  Cell \u001b[0;32mIn[1], line 4\u001b[0;36m\n\u001b[0;31m    from GUIs.rb_spec import rb_spec as r\u001b[0;36m\n",
      "\u001b[0;36m  File \u001b[0;32m~/WORK/python/rbcodes/GUIs/rb_spec.py:274\u001b[0;36m\u001b[0m\n\u001b[0;31m    if filename is None:\u001b[0m\n\u001b[0m                        ^\u001b[0m\n\u001b[0;31mIndentationError\u001b[0m\u001b[0;31m:\u001b[0m unindent does not match any outer indentation level\n"
     ]
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   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib notebook\n",
    "from GUIs.rb_spec import rb_spec as r\n",
    "from IGM import rb_setline as setline\n",
    "from linetools.spectra.xspectrum1d import XSpectrum1D  \n",
    "from importlib import reload\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read in the data that you want to measure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Normalizing spectrum using given continuum...\n"
     ]
    }
   ],
   "source": [
    "filename='example-data/test.fits'\n",
    "s=r.from_file(filename,filetype='xfits')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The transition of the absorber and it's redshift"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Redshift of the absorber you are trying to fit\n",
    "zabs=0.348\n",
    "transition=1037.5#977.6 # CIII 977 "
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## Shift spectrum to the rest frame of the absorber"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "s.shift_spec(zabs);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create a small slice of the spectrum that you want to analyze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'wave': 1037.6167, 'fval': 0.06609, 'name': 'OVI 1037'}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "xlim=[-2500,2500]\n",
    "s.slice_spec(transition,xlim[0],xlim[1],use_vel=True);\n",
    "# Showing the atomic tranistion and its line properties\n",
    "str1=setline.rb_setline(transition,'closest',linelist='LLS')\n",
    "str1"
   ]
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    "## Fit continuum \n",
    "\n",
    "## First we will fit in a non-interactive mode, a Legendre polinomial fit with part of the spectrum masked off\n",
    "\n",
    "Note: Use only the continuum fitting routine you want. You don't need to use both methods. I am commenting out the non-interactive mode below. But it is presented for psterity.\n",
    "\n",
    "<p> We mask the part of spectrum that we don't want to fit. </p>\n",
    "<p>Mask is created to have multiple low vel, high vel ranges.</p>\n",
    "<p>e.g. mask = [-300.,-250.,100.,120.] will exclude -300,-250 and 100,120 km/s parts of the spectrum in the fit\n",
    "</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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  {
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   "execution_count": 39,
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     "name": "stdout",
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     "text": [
      "Both statistical and continuum fitting error included.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Model is linear in parameters; consider using linear fitting methods. [astropy.modeling.fitting]\n"
     ]
    },
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       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home 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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // 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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(-1500.0, 1500.0)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.fit_continuum(mask=[-560,-500,-330,-230,-170,120.,140.,290.],domain=xlim,Legendre=3)\n",
    "\n",
    "\n",
    "\n",
    "# Show the fits\n",
    "plt.subplot(2,1,1)\n",
    "plt.step(s.velo,s.flux_slice)\n",
    "plt.step(s.velo,s.flux_slice/s.fnorm)\n",
    "plt.step(s.velo,s.cont,'k-')\n",
    "plt.step(s.velo,s.cont+s.cont_err,'k--')\n",
    "plt.step(s.velo,s.cont-s.cont_err,'k--')\n",
    "plt.step(s.velo,s.error_slice)\n",
    "plt.xlim(xlim)\n",
    "plt.subplot(2,1,2)\n",
    "plt.step(s.velo,s.fnorm)\n",
    "plt.step(s.velo,s.enorm)\n",
    "\n",
    "\n",
    "plt.plot([xlim[0],xlim[1]],[1,1],'--')\n",
    "plt.xlim(xlim)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Both statistical and continuum fitting error included.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Model is linear in parameters; consider using linear fitting methods. [astropy.modeling.fitting]\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home 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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // 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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(-1500.0, 1500.0)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#s.fit_continuum(mask=[-560,-500,-330,-230,-170,120.,140.,290.],domain=xlim,Legendre=3)\n",
    "s.fit_continuum(mask=[-560,-500,-330,-230,-170,120.,140.,290.],domain=xlim,Legendre=3,sigma_clip=True,n_sigma=1.2)\n",
    "\n",
    "\n",
    "\n",
    "# Show the fits\n",
    "plt.subplot(2,1,1)\n",
    "plt.step(s.velo,s.flux_slice)\n",
    "plt.step(s.velo,s.flux_slice/s.fnorm)\n",
    "plt.step(s.velo,s.cont,'k-')\n",
    "plt.step(s.velo,s.cont+s.cont_err,'k--')\n",
    "plt.step(s.velo,s.cont-s.cont_err,'k--')\n",
    "plt.step(s.velo,s.error_slice)\n",
    "plt.xlim(xlim)\n",
    "plt.subplot(2,1,2)\n",
    "plt.step(s.velo,s.fnorm)\n",
    "plt.step(s.velo,s.enorm)\n",
    "\n",
    "\n",
    "plt.plot([xlim[0],xlim[1]],[1,1],'--')\n",
    "plt.xlim(xlim)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## An alternate method to fit local continuum. \n",
    "\n",
    "## Interactive Continuum Fitting.\n",
    "\n",
    "## ***********************************\n",
    "\n",
    "\n",
    "<p>The required keystrikes are:</p>\n",
    "\n",
    "\n",
    "\n",
    "<p>         This calls an interactive continuum fitter for 1D spectrum.\n",
    "            We will create a spline continuum fit from selected points.\n",
    "    \n",
    "            Program sequence is important. First you select the continuum positions using either left mouse button or keystroke b. Right clock will deselect any continuum point. \n",
    "    \n",
    "    Then press 'enter' to fit the continuum. Then press 'n' to show the normalized spectrum.\n",
    "    \n",
    "    \n",
    "            Useful Keystrokes:\n",
    "    \n",
    "                Mouse Clicks:\n",
    "                \n",
    "                    Left Click  : Select the median flux value within +/- 5 pixel from the x-coordinate.\n",
    "                                  These points are used for the continuum fit.\n",
    "                    Right Click : Delete the nearest continuum point.\n",
    "    \n",
    "                Keystrokes:\n",
    "                  \n",
    "                  b     :    Select a point for continuum fit at that exact (x,y) coordinate.\n",
    "                  enter :    Perform a spline fit to data to create a continuum.\n",
    "                  n     :    Show the normalized spectrum.\n",
    "                  w     :    Only after pressing n: This will ourput the continuum. \n",
    "                  h     :    This Help screen.\n",
    "                  r     :    Reset fit.\n",
    "                  q     :    Quit Program.\n",
    "             ---------------------------------------------------------------------------\n",
    "            Written By:  Rongmon Bordoloi                                   July 13 2017.\n",
    "    \n",
    "\n",
    "\n",
    "</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home 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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // 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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b52d4a4335d64c2c8ab51ada3dea9d66",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HTML(value='')"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from GUIs import interactive_cont_jn as ft\n",
    "reload(ft)\n",
    "cont=ft.interactive_cont(s.wave_slice,s.flux_slice,error=s.error_slice)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Add the handfitted continuum into the rb_spec object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using prefitted continuum...\n"
     ]
    }
   ],
   "source": [
    "s.fit_continuum(prefit_cont=cont.cont);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Third option for automatic continuum fitting using RANSAC fitting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initializing RANSAC continuum fitter\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/bordoloi/WORK/python/linetools/linetools/spectra/xspectrum1d.py:107: UserWarning: Assuming wavelength unit is Angstroms\n",
      "  warnings.warn(\"Assuming wavelength unit is Angstroms\")\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "#s.fit_continuum(mask=[-100,300],domain=xlim,Legendre=3)\n",
    "s.fit_continuum_ransac(window=199,mednorm=False)\n",
    "plt.subplot(2,1,1)\n",
    "plt.step(s.velo,s.flux_slice)\n",
    "plt.step(s.velo,s.flux_slice/s.fnorm)\n",
    "plt.xlim(xlim)\n",
    "plt.subplot(2,1,2)\n",
    "plt.step(s.velo,s.fnorm)\n",
    "plt.plot([-600,600],[1,1],'--')\n",
    "plt.xlim(xlim)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fourth option for automatic polynomial continuum fitting using RANSAC fitting\n",
    "\n",
    "degree: polynomial order\n",
    "\n",
    "residual_threshold : important RANSAC paramerter to identify inmask points to fit\n",
    "\n",
    "_n_bootstrap= number of bootstrap sampling to estimate fitting uncertainty [default = 100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home 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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // 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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.fit_polynomial_ransac(degree=4,residual_threshold=2.5)\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "\n",
    "# Show the fits\n",
    "plt.subplot(2,1,1)\n",
    "plt.step(s.velo,s.flux_slice)\n",
    "plt.step(s.velo,s.flux_slice/s.fnorm)\n",
    "plt.step(s.velo,s.cont,'k-')\n",
    "plt.step(s.velo,s.cont+s.cont_err,'k--')\n",
    "plt.step(s.velo,s.cont-s.cont_err,'k--')\n",
    "plt.step(s.velo,s.error_slice)\n",
    "\n",
    "\n",
    "plt.xlim(xlim)\n",
    "plt.subplot(2,1,2)\n",
    "plt.step(s.velo,s.fnorm)\n",
    "plt.step(s.velo,s.enorm)\n",
    "\n",
    "\n",
    "plt.plot([xlim[0],xlim[1]],[1,1],'--')\n",
    "plt.xlim(xlim)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compute Equivalent Width and column density for the line profile within a velocity range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home 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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // 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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# SNR=True keyword toggles the compute_snr routine to compute signal to noise per PIXEL of the given spectrum.\n",
    "# Setting plot False will hide the plot below\n",
    "# setting the pixel window over which to perform the SNR calculation\n",
    "_binsize= 3\n",
    "s.compute_EW(transition,vmin=-80.,vmax=55.,plot=True,SNR=True,_binsize=_binsize);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-11.913295560786768 61.45310172970429\n"
     ]
    }
   ],
   "source": [
    "print(s.vel_centroid,s.vel_disp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save all the information produced above. \n",
    "\n",
    "See rb_spec.py file for details of what is saved.\n",
    "\n",
    "All entries are saved as a python dictionary in a pickle file. The entries for the saved dictionary are:\n",
    "\n",
    "<p>zabs= Absorber redshift</p>\n",
    "<p>wave_slice= sliced observed wavelength vector</p>\n",
    "<p>flux_slice= sliced observed flux vector</p>\n",
    "<p>error_slice= sliced velocity spectra </p>\n",
    "<p>linelist=. LineList used</p>\n",
    "<p>velo=  sliced velocity vector</p>\n",
    "<p>cont = Fitted continuum</p>\n",
    "<p>fnorm= Normalized flux</p>\n",
    "<p>enorm= Normalized error</p>\n",
    "<p>trans=  Name of the Transition</p>\n",
    "<p>fval= fvalue of transition</p>\n",
    "<p>trans_wave= rest frame wavelength of transition</p>\n",
    "<p>vmin=     velocity minimum used for equivalent width calculation</p>\n",
    "<p>vmax=    velocity maximum used for equivalent width calculation</p>\n",
    "<p>W=    Rest Frame equivalenth width</p>\n",
    "<p>W_e=  uncertainty on rest frame equivalent width</p>\n",
    "<p>logN=  AOD column density</p>\n",
    "<p>logN_e= AOD column density uncertainty</p>\n",
    "<p>Tau= Apparant optical depth as a function of velocity</p>\n",
    "<p>vel_centroid= EW weighted velocity centroid</p>\n",
    "<p>vel_disp= 1 sigma velocity dispersion</p>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Option 1: save as pickle file [default]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "s.save_slice('outfile.p')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Option 2: Save as json file\n",
    "\n",
    "Experimental. DO NOT USE RIGHT NOW"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File saved to outfile.json successfully!\n"
     ]
    }
   ],
   "source": [
    "s.save_slice('outfile.json',file_format='json')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read saved rb_spec object from json file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "---Finished loading saved rb_spec object----\n"
     ]
    }
   ],
   "source": [
    "from GUIs.rb_spec import load_rb_spec_object as r_load\n",
    "f='outfile.json'\n",
    "sp_test=r_load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot the loaded spectrum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home 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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // 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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sp_test.plot_slice()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read saved rb_spec object from pickle file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('outfile.p', 'rb') as f:\n",
    "    sp_test = pickle.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home 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\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // 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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot the loaded spe\n",
    "sp_test.plot_slice()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}