bead.ipynb

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  {
   "cell_type": "markdown",
   "id": "75d836c5",
   "metadata": {},
   "source": [
    "# Mechanics 1 - Problem 10.11\n",
    "\n",
    "Philipp Schlatter February 2022 based on Matlab code by Arne Nordmark"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "920ef292",
   "metadata": {},
   "source": [
    "Some preliminaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c8c297fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook \n",
    "# possible options: notebook, inline or widget\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.pylab as pylab\n",
    "import matplotlib.animation\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from math import pi\n",
    "from scipy.integrate import solve_ivp\n",
    "params = {'legend.fontsize': 12,\n",
    "          'legend.loc':'best',\n",
    "          'figure.figsize': (8,5),\n",
    "          'lines.markerfacecolor':'none',\n",
    "          'axes.labelsize': 12,\n",
    "          'axes.titlesize': 12,\n",
    "          'xtick.labelsize':12,\n",
    "          'ytick.labelsize':12,\n",
    "          'grid.alpha':0.6}\n",
    "pylab.rcParams.update(params)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e09359a1",
   "metadata": {},
   "source": [
    "Define the relevant physical arameters for the problem, together with the numerical parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "97860310",
   "metadata": {},
   "outputs": [],
   "source": [
    "class parcl:\n",
    "    \"\"\"empty class\"\"\"\n",
    "\n",
    "# Physical parameters    \n",
    "par = parcl()\n",
    "par.g = 9.82\n",
    "par.m=1\n",
    "par.mu=0\n",
    "par.alpha0=pi/6*0+0.1\n",
    "par.R=1\n",
    "par.v0=2.5\n",
    "\n",
    "# Simulation parameters\n",
    "Time=50\n",
    "dt=0.05"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d2282aa",
   "metadata": {},
   "source": [
    "Ordinary differential equation \n",
    "$$\\dot{q} = f(q)$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "522b1c5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def bead_sys(t,q,par,gg): \n",
    "    \n",
    "    # unpack state variables\n",
    "    r,th,rt,tht = q\n",
    "    \n",
    "    # normal force/m\n",
    "    n=par.g*np.sin(par.alpha0)+r*tht**2*np.cos(par.alpha0)\n",
    "    # speed\n",
    "    v=np.sqrt((rt/np.sin(par.alpha0))**2+(r*tht)**2)\n",
    "    \n",
    "    rtt=r*tht**2-np.cos(par.alpha0)*n-par.mu*rt/v*n\n",
    "    thtt=-2*rt*tht/r-par.mu*tht/v/n\n",
    "    \n",
    "    # compose right-hand side\n",
    "    qt = [rt,tht,rtt,thtt]\n",
    "    return qt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32910ae0",
   "metadata": {},
   "source": [
    "Integrate the system in time to get $q(t)$, using standard ODE solver, based on initial condition $q_0$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "52417b03",
   "metadata": {},
   "outputs": [],
   "source": [
    "q0=[par.R,0,0,par.v0/par.R]\n",
    "sol=solve_ivp(bead_sys,[0,Time],q0,args=(par,0),dense_output=True)\n",
    "t = np.arange(0, Time+1e-10, dt)\n",
    "q = sol.sol(t)\n",
    "\n",
    "#sol=solve_ivp(bead_sys,[0,Time],q0,args=(par,0),dense_output=False)\n",
    "#q=sol.y\n",
    "#t=sol.t"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b929db58",
   "metadata": {},
   "source": [
    "Extract relevant quantities from the state vector $q$, including the Cartesian coordinates, energies $T$ and $V$ and angular momentum $H_z$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3ec552c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# state variables\n",
    "r=q[0,:]\n",
    "th=q[1,:]\n",
    "rt=q[2,:]\n",
    "tht=q[3,:]\n",
    "\n",
    "# Cartesian coordinates\n",
    "x=r*np.cos(th)\n",
    "y=r*np.sin(th)\n",
    "z=r*np.cos(par.alpha0)/np.sin(par.alpha0)\n",
    "\n",
    "# energies\n",
    "T = par.m*( (rt/np.sin(par.alpha0))**2 + (r*tht)**2)/2\n",
    "V=par.m*par.g*z\n",
    "\n",
    "# angular momentum\n",
    "Hz = par.m*r**2*tht\n",
    "\n",
    "# normal force\n",
    "N=par.m*(par.g*np.sin(par.alpha0)+r*tht**2*np.cos(par.alpha0))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a08c9241",
   "metadata": {},
   "source": [
    "Plot integral quantities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "58f98a82",
   "metadata": {},
   "outputs": [
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       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(311)\n",
    "ax.set_title('Integral quantities')\n",
    "ax.plot(t,z)\n",
    "ax.set_ylabel('height $z$')\n",
    "ax = fig.add_subplot(312)\n",
    "ax.plot(t,T+V,label='total energy $E=T+V$')\n",
    "ax.plot(t,T,label='kinetic energy $T$')\n",
    "ax.plot(t,V,label='potential energy $V$')\n",
    "ax.set_ylabel('energy')\n",
    "ax.legend()\n",
    "ax = fig.add_subplot(313)\n",
    "ax.plot(t,Hz)\n",
    "ax.set_xlabel('time $t$')\n",
    "ax.set_ylabel(f'$H_z$')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b65c9635",
   "metadata": {},
   "source": [
    "Create a three-dimensional view of the cone with two projections, animate and write video file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "02c72717",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "H=par.R/np.tan(par.alpha0);\n",
    "ym = 2*par.R\n",
    "phi=np.arange(0,2*pi,0.1)\n",
    "\n",
    "fig = plt.figure(figsize=(8,5))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "def animate(j):\n",
    "    ax.cla()\n",
    "    \n",
    "    ax.plot([0,par.R],[ym,ym],[0,H],'k')\n",
    "    ax.plot([0,-par.R],[ym,ym],[0,H],'k')\n",
    "    ax.plot([ym,ym],[0,par.R],[0,H],'k')\n",
    "    ax.plot([ym,ym],[0,-par.R],[0,H],'k')\n",
    "    \n",
    "    ax.plot(x[0:j+1],ym+x[0:j+1]*0,z[0:j+1],'g')\n",
    "    ax.plot(ym+x[0:j+1]*0,y[0:j+1],z[0:j+1],'g')\n",
    "    ax.plot(x[j],ym+x[j]*0,z[j],'r.')\n",
    "    ax.plot(ym+x[j]*0,y[j],z[j],'r.')\n",
    "    \n",
    "    for i in range(phi.size):\n",
    "        ax.plot([0,np.cos(phi[i])],[0,np.sin(phi[i])],[0,H],color='lightgrey')\n",
    "\n",
    "    ax.plot(x[0:j+1],y[0:j+1],z[0:j+1],'b-')\n",
    "    ax.plot(x[j],y[j],z[j],'r.')\n",
    "\n",
    "    ax.plot(np.cos(phi),np.sin(phi),phi*0+H,'k')\n",
    "   \n",
    "    ax.set_xlim3d(-par.R, ym)\n",
    "    ax.set_ylim3d(-par.R, ym)\n",
    "    ax.set_zlim3d(0, H)\n",
    "    ax.set_xlabel('x')\n",
    "    ax.set_ylabel('y')\n",
    "    ax.set_zlabel('z')\n",
    "    ax.view_init(elev=25, azim=-145)\n",
    "    \n",
    "    ax.set_title(f\"time {t[j]:.2f}\")  \n",
    "\n",
    "ani=matplotlib.animation.FuncAnimation(fig, animate, frames=t.size, repeat=False,interval=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a92276cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "writer = matplotlib.animation.writers['ffmpeg']\n",
    "writer = writer(fps=24)\n",
    "ani.save('out.mp4', writer=writer, dpi=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9ec2280b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}