bg_sheath.ipynb

{
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   "source": [
    "### Plasma Sheath, Cylindrical Langmuir Probe, Radial model\n",
    "\n",
    "First, we set the kind of plasma. Uncomment the line that corresponds"
   ]
  },
  {
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   "execution_count": 1,
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       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
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       "    var status_bar = document.createElement('span');\n",
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       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
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       "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",
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       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
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       "    var x0 = msg['x0'] / fig.ratio;\n",
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       "    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",
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       "        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",
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       "\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",
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       "            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",
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       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "65da4e03a8d74fa69d18d6899ce1999a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Text(value='', layout=Layout(width='90%'))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/Billy/projects/jupyter/bg_sheath/functions.py:36: RuntimeWarning: overflow encountered in double_scalars\n",
      "  return np.e**(-y) + alpha0*np.e**(-gamma*y)\n",
      "/Users/Billy/projects/jupyter/bg_sheath/functions.py:118: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  y0 = 3*(beta*Ip/(x0*(1+alpha0)))**(2/3) - 2*beta\n",
      "/Users/Billy/projects/jupyter/bg_sheath/functions.py:36: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  return np.e**(-y) + alpha0*np.e**(-gamma*y)\n",
      "/Users/Billy/projects/jupyter/bg_sheath/functions.py:157: RuntimeWarning: divide by zero encountered in double_scalars\n",
      "  x = Ip/(c*np.sqrt(y-2*beta*(c/(1+alpha0)-1)))\n"
     ]
    }
   ],
   "source": [
    "import initialize\n",
    "import sheath\n",
    "import functions as f\n",
    "import ipywidgets.widgets as widgets\n",
    "import ipywidgets\n",
    "from ipywidgets import Layout\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib notebook\n",
    "\n",
    "# Display sliders and options\n",
    "plasma_radio_buttons = widgets.RadioButtons(\n",
    "    options=[\"Argon and electrons\", \"Neon and electrons\", \"Helium and electrons\", \"Oxygen O+ and O-\"],\n",
    "#    layout={'width': 'max-content'}, # If the items' names are long\n",
    "    description='Plasma type:')\n",
    "display(plasma_radio_buttons)\n",
    "\n",
    "bg = initialize.BetaGammaSheath()\n",
    "bg.x_array = []\n",
    "bg.y_array = []\n",
    "bg.z_array = []\n",
    "bg.N_array = []\n",
    "\n",
    "Ip_slider = widgets.FloatSlider(value=5, min=1.5, max=100, step=0.1, description='Ip:')\n",
    "beta_slider = widgets.FloatSlider(value=0.1, min=0.01, max=1.0, step=0.01, description='beta:')\n",
    "gamma_slider = widgets.FloatSlider(value=0.1, min=0.01, max=1.0, step=0.1, description='gamma_1:', disabled = True)\n",
    "gamma_button = widgets.ToggleButton(description = \"Link to beta\", value = True)\n",
    "alpha0_slider = widgets.FloatSlider(value=0.5, min=0.0, max=10.0, step=0.1, description='alpha0:')\n",
    "\n",
    "gamma_line = widgets.HBox([gamma_slider, gamma_button])\n",
    "dl = ipywidgets.jslink((beta_slider, 'value'), (gamma_slider, 'value'))\n",
    "\n",
    "sliders = widgets.VBox([Ip_slider, beta_slider, gamma_line, alpha0_slider])\n",
    "display(sliders)\n",
    "\n",
    "run_button = widgets.Button(description = \"Run calculation\")\n",
    "quasi_toogle_button = widgets.ToggleButton(value=True, description='Plot quasineutral')\n",
    "supersonic_toogle_button = widgets.ToggleButton(value=True, description='Supersonic curve')\n",
    "run_plot_buttons = widgets.HBox([run_button, quasi_toogle_button, supersonic_toogle_button])\n",
    "\n",
    "display(run_plot_buttons)\n",
    "\n",
    "info_text = widgets.Text()\n",
    "display(info_text)\n",
    "\n",
    "fig1, ax1 = plt.subplots(figsize=(9, 6))  # Create a figure containing a single axes.\n",
    "ax1.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric potential (k_BT_e/e units)')\n",
    "ax1.grid(b = True)\n",
    "\n",
    "fig2, ax2 = plt.subplots(2,2,figsize=(9, 6))  # Create a figure for the comparison of several parameters\n",
    "ax2_11, ax2_12, ax2_21, ax2_22 = ax2.flatten()\n",
    "ax2_11.grid(b = True)\n",
    "ax2_11.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric potential (k_BT_e/e units)')\n",
    "ax2_12.grid(b = True)\n",
    "ax2_12.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Ion density (n_e units)')\n",
    "ax2_21.grid(b = True)\n",
    "ax2_21.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Ion velocity (v_Bohm units)')\n",
    "ax2_22.grid(b = True)\n",
    "ax2_22.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Ion Temperature (T_e units)')\n",
    "\n",
    "fig3, ax3 = plt.subplots(figsize=(9, 5.5))  # Create a figure containing a single axes.\n",
    "ax3.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric current (Ip units)')\n",
    "ax3.grid(b = True)\n",
    "\n",
    "Vf_text = widgets.Text(layout=Layout(width='90%'))\n",
    "display(Vf_text)\n",
    "\n",
    "palette = plt.get_cmap('Set1')\n",
    "i_palette = -1\n",
    "\n",
    "def get_y_sing(x0a):\n",
    "    '''Helper function to get singularity curve'''\n",
    "    global bg\n",
    "    [x0, y0, ydot0, xl] = f.getInitFloat(x0a, bg)\n",
    "    return y0\n",
    "\n",
    "def gamma_button_toggle(b):\n",
    "    '''Helper function for gamma toggle button'''\n",
    "    gamma_slider.disabled = gamma_button.value\n",
    "    global dl\n",
    "    dl.unlink()\n",
    "    if gamma_slider.disabled:\n",
    "        dl = ipywidgets.jslink((beta_slider, 'value'), (gamma_slider, 'value'))\n",
    "\n",
    "gamma_button.observe(gamma_button_toggle)\n",
    "\n",
    "def run_button_clicked(b):\n",
    "    '''Helper function to pass arguments'''\n",
    "    info_text.value = \"Calculation in progress\"\n",
    "    \n",
    "    # Pass parameters to bg\n",
    "    global bg\n",
    "    global i_palette\n",
    "    bg.g.Ip = Ip_slider.value\n",
    "    bg.g.beta = beta_slider.value\n",
    "    bg.g.gamma = 1/gamma_slider.value\n",
    "    bg.g.alpha0 = alpha0_slider.value\n",
    "    bg.p = initialize.Plasma(plasma_radio_buttons.value)\n",
    "    f.defineI0tuple(bg)\n",
    "    sheath.cylindrical(bg) #Note that adimensional plasma sheath solution does not depend on the plasma type\n",
    "    info_text.value = \"Calculation finished\"\n",
    "    \n",
    "    # Plot according to given options\n",
    "    ax1.cla()\n",
    "    ax1.grid(b = True)\n",
    "    ax1.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric potential (k_BT_e/e units)')\n",
    "\n",
    "    # Quasineutral solution\n",
    "    if quasi_toogle_button.value:\n",
    "        bg.quasi_x_array = [f.getxCI(y, bg) for y in bg.y_array]\n",
    "        ax1.plot(bg.quasi_x_array, bg.y_array, color='pink', label=\"Quasineutral solution\")\n",
    "    \n",
    "    # Supersonic singularity curve\n",
    "    if supersonic_toogle_button.value:\n",
    "        bg.supersonic_y_array = [get_y_sing(x) for x in bg.x_array]\n",
    "        ax1.plot(bg.x_array, bg.supersonic_y_array, color='red', label=\"Supersonic singularity curve\")\n",
    "    \n",
    "    ax1.plot(bg.x_array, bg.y_array, color='blue', label=\"Potential profile\")\n",
    "    ax1.legend(prop={'size': 10})\n",
    "    \n",
    "    # Plot limits\n",
    "    ax1.set_xlim(0, 1.1*bg.g.xl)\n",
    "    ax1.set_ylim(0, 40*f.getylimit(bg))\n",
    "    \n",
    "    i_palette += 1\n",
    "    # Plot other parameters, first potential again\n",
    "    ax2_11.plot(bg.x_array, bg.y_array, color=palette(i_palette),\n",
    "                label=\"Ip={0}, beta={1}, gamma={2:.2g}, alpha0={3}\".format(bg.g.Ip, bg.g.beta, bg.g.gamma, bg.g.alpha0))\n",
    "    ax2_11.set_xlim(0, 1.1*bg.g.xl)\n",
    "    ax2_11.set_ylim(0, 40*f.getylimit(bg))\n",
    "    ax2_11.legend(prop={'size': 8})\n",
    "    ax2_11.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric potential (k_BT_e/e units)')\n",
    "\n",
    "    # Then ion density\n",
    "    ax2_12.plot(bg.x_array, bg.N_array, color=palette(i_palette),\n",
    "                label=\"Ip={0}, beta={1}, gamma={2:.2g}, alpha0={3}\".format(bg.g.Ip, bg.g.beta, bg.g.gamma, bg.g.alpha0))\n",
    "    ax2_12.set_xlim(0, 1.1*bg.g.xl)\n",
    "    ax2_12.set_ylim(0, 1.2*(1 + bg.g.alpha0))\n",
    "    ax2_12.legend(prop={'size': 8})\n",
    "    ax2_12.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Ion density (n_e units)')\n",
    "    \n",
    "    # Velocity\n",
    "    ax2_21.plot(bg.x_array, bg.V_array, color=palette(i_palette),\n",
    "                label=\"Ip={0}, beta={1}, gamma={2:.2g}, alpha0={3}\".format(bg.g.Ip, bg.g.beta, bg.g.gamma, bg.g.alpha0))\n",
    "    ax2_21.set_xlim(0, 1.1*bg.g.xl)\n",
    "    ax2_21.set_ylim(0, 5*bg.g.Ip/bg.g.xl)\n",
    "    ax2_21.legend(prop={'size': 8})\n",
    "    ax2_21.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Ion velocity (v_Bohm units)')\n",
    "\n",
    "    # Local ion temperature\n",
    "    ax2_22.plot(bg.x_array, bg.T_array, color=palette(i_palette),\n",
    "                label=\"Ip={0}, beta={1}, gamma={2:.2g}, alpha0={3}\".format(bg.g.Ip, bg.g.beta, bg.g.gamma, bg.g.alpha0))\n",
    "    ax2_22.set_xlim(0, 1.1*bg.g.xl)\n",
    "    ax2_22.set_ylim(0, 1.5*bg.g.beta)\n",
    "    ax2_22.legend(prop={'size': 8})\n",
    "    ax2_22.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Ion Temperature (T_e units)')\n",
    "    \n",
    "    ax3.cla()\n",
    "    ax3.grid(b = True)\n",
    "    ax3.set(xlabel='Distance to the axis (lambda_D units)', ylabel='Electric current (a.u.)')\n",
    "    ax3.plot([0, 1.1*bg.g.xl], [bg.g.Ip, bg.g.Ip], color='black', label=\"Normalized ion current\")\n",
    "    bg.I1_array = [bg.g.I01*np.e**(-y) for y in bg.y_array]\n",
    "    bg.I2_array = [bg.g.I02*bg.g.alpha0*np.e**(-bg.g.gamma*y) for y in bg.y_array]\n",
    "    bg.In_array = [bg.I1_array[i] + bg.I2_array[i] for i in range(len(bg.I1_array))]\n",
    "    ax3.plot(bg.x_array, bg.I1_array, color='red', label=\"First negative particle current\")\n",
    "    ax3.plot(bg.x_array, bg.I2_array, color='green', label=\"Second negative particle current\")\n",
    "    ax3.plot(bg.x_array, bg.In_array, color='blue', label=\"Total negative current\")\n",
    "    ax3.legend(prop={'size': 10})\n",
    "    ax3.set_xlim(0, 1.1*bg.g.xl)\n",
    "    ax3.set_ylim(0, 1.2*bg.g.Ip)\n",
    "    \n",
    "    yf = f.findvaluev(bg.In_array, bg.y_array, bg.g.Ip)\n",
    "    xf = f.findvaluev(bg.In_array, bg.x_array, bg.g.Ip)\n",
    "    Vf_text.value = \"yf = {0:.3g} (k_BT_e/e units) for a probe of radius xf = {1:.3g}\".format(yf, xf)\n",
    "\n",
    "run_button.on_click(run_button_clicked)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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