matplot_02.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0492db43",
   "metadata": {},
   "source": [
    "# 02.半径"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d314c45",
   "metadata": {},
   "source": [
    "上一篇已经完成了，对于一个分子Phe的最简模式的3D展示。\n",
    "\n",
    "现在来加一些属性。\n",
    "\n",
    "例如半径"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "537958f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit WARNING: [10:40:07] obj01: Warning - no explicit hydrogens in mol2 file but needed for formal charge estimation.\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div id='979e8509-29c4-4bbf-99e0-dad3c4344043'></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#%matplotlib notebook\n",
    "plot_mol(phe_txt)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da294d56-f6a7-4b2a-b806-d8966f0dc170",
   "metadata": {},
   "source": [
    "原子半径详解：\n",
    "\n",
    "1. Covalent Radii：一个原子的共价半径可以通过测量一对共价键合原子之间的键长来确定：如果这两个原子是同一种类的，那么共价半径只是键长的一半。\n",
    "\n",
    "\n",
    "+ Van-der-Waals Radii：范德华半径由接触分子中未结合原子之间的接触距离确定。\n",
    "\n",
    "\n",
    "+ Atomic-Ionic Radii：这些是原子的“真实”半径，从真实晶体和分子的键长测量，并考虑到一些原子会带电的事实。例如，氯（Cl-）的原子离子半径大于其原子半径。原子A和B之间的键长是原子半径的总和， dAB=rA+rB\n",
    "\n",
    "\n",
    "+ Crystal Radii：也许最权威和最受尊重的原子半径集是香农和普雷维特（1969年）发表的“晶体”半径-所有晶体学中引用最多的论文之一-香农（1976年）后来修订的值。这些数据最初来源于碱卤化物的研究，适用于大多数无机结构，并为CrystalMaker的默认元素表提供了基础。\n",
    "\n",
    "关于原子颜色定义："
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1cfef024-f1ff-43e5-a3b4-ca8ab1facd5a",
   "metadata": {},
   "source": [
    "\n",
    "| 元素                                                         | 用色                                                         |      |\n",
    "| ------------------------------------------------------------ | ------------------------------------------------------------ | ---- |\n",
    "| [氢](https://zh.wikipedia.org/wiki/氫)                       | [白色](https://zh.wikipedia.org/wiki/白色)                   |      |\n",
    "| [碳](https://zh.wikipedia.org/wiki/碳)                       | [黑色](https://zh.wikipedia.org/wiki/黑色)                   |      |\n",
    "| [氮](https://zh.wikipedia.org/wiki/氮)                       | [蓝色](https://zh.wikipedia.org/wiki/藍色)                   |      |\n",
    "| [氧](https://zh.wikipedia.org/wiki/氧)                       | [红色](https://zh.wikipedia.org/wiki/紅色)                   |      |\n",
    "| [硫](https://zh.wikipedia.org/wiki/硫)                       | [深黄色](https://zh.wikipedia.org/w/index.php?title=深黃色&action=edit&redlink=1) |      |\n",
    "| [磷](https://zh.wikipedia.org/wiki/磷)                       | [紫色](https://zh.wikipedia.org/wiki/紫色)                   |      |\n",
    "| [卤素](https://zh.wikipedia.org/wiki/鹵素)                   | [绿色](https://zh.wikipedia.org/wiki/綠色)                   |      |\n",
    "| [金属](https://zh.wikipedia.org/wiki/金屬)（[钴](https://zh.wikipedia.org/wiki/钴)、[铁](https://zh.wikipedia.org/wiki/铁)、[镍](https://zh.wikipedia.org/wiki/镍)） | 银色                                                         |      |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d416b350-6be9-4ad2-8168-ac06f2fb6867",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "# 设置一个字典存储相关原子颜色信息\n",
    "atom_color = {'C':'#8B0000',\n",
    "'H':'#FFFFFF',\n",
    "'O':'#FF0000',\n",
    "'N':'#0000FF',\n",
    "'S':'#FFFF00',\n",
    "'P':'#800080',\n",
    "'M':'#C0C0C0',\n",
    "'Halogen':'#008000'\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8b88ef7a-56dd-4268-bbb2-97181a13d744",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 设置一个字典存储相关原子半径信息\n",
    "# 卤素原子使用Cl替代\n",
    "# 金属原子使用Ag替代\n",
    "# 半径单位为埃，1埃=0.1纳米\n",
    "# 半径依次为：原子半径，离子半径，共价半径，范德华半径，晶体半径\n",
    "atom_rdii= {\n",
    "'C':[0.67,0.70,0.77,1.70,0.29],\n",
    "'H':[0.53,0.25,0.37,1.20,0.10],\n",
    "'O':[0.48,0.60,0.73,1.52,1.21],\n",
    "'N':[0.56,0.65,0.75,1.55,0.30],\n",
    "'S':[0.88,1.00,1.02,1.80,0.43],\n",
    "'P':[0.98,1.00,1.06,1.80,0.31],\n",
    "'M':[1.65,1.60,1.53,1.72,1.29],\n",
    "'Halogen':[0.79,1.00,0.99,1.75,1.67]\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8c12fb45-49e4-4e91-b625-47df7f030545",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 一些坐标参数\n",
    "import numpy as np\n",
    "z=np.linspace(1,20,5)\n",
    "\n",
    "coord=[]\n",
    "\n",
    "for n in z:\n",
    "    coo = [0,10,n]\n",
    "    coord.append(coo)\n",
    "#coord = [[1,1,1]]\n",
    "coord=coord*8\n",
    "\n",
    "id_list = [241,242,243,244,245,246,247,248]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "dafeb16a-8e82-4ef9-991b-caa949d29ec3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "def plot_atom_surface(a,b,c,radius,color):\n",
    "    #fig_m = plt.figure()\n",
    "#    ax = fig_m.add_subplot(id,projection='3d')\n",
    "    # Make data\n",
    "    u = np.linspace(0, 2 * np.pi, 100)\n",
    "    v = np.linspace(0, np.pi, 100)\n",
    "    x = radius * np.outer(np.cos(u), np.sin(v)) + a\n",
    "    y = radius * np.outer(np.sin(u), np.sin(v)) + b\n",
    "    z = radius * np.outer(np.ones(np.size(u)), np.cos(v)) + c \n",
    "    # Plot the surface\n",
    "    #ax.plot_surface(x, y, z, color = color)\n",
    "    ax.scatter(a,b,c, marker=\"8\",c=color)\n",
    "    ax.plot_wireframe(x, y, z, rstride=10, cstride=10,color = color)\n",
    "    #plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a69560b1-5757-41f4-bbb8-cf62c1d9fc70",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
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       "        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",
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       "        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",
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       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
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       "    this._root_extra_style(this.root);\n",
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       "\n",
       "    this._init_header(this);\n",
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       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
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       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
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       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
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       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
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       "    };\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",
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       "    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",
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       "            if (entry.contentBoxSize) {\n",
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       "                    // 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",
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       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
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       "\n",
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       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
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       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
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       "<IPython.core.display.Javascript object>"
      ]
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       "<div id='d307a777-68a5-4d35-a3ea-d3ebaf393b16'></div>"
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     "text": [
      "C 0.67\n",
      "[0, 10, 1.0]\n",
      "C 0.7\n",
      "[0, 10, 5.75]\n",
      "C 0.77\n",
      "[0, 10, 10.5]\n",
      "C 1.7\n",
      "[0, 10, 15.25]\n",
      "C 0.29\n",
      "[0, 10, 20.0]\n",
      "H 0.53\n",
      "[0, 10, 1.0]\n",
      "H 0.25\n",
      "[0, 10, 5.75]\n",
      "H 0.37\n",
      "[0, 10, 10.5]\n",
      "H 1.2\n",
      "[0, 10, 15.25]\n",
      "H 0.1\n",
      "[0, 10, 20.0]\n",
      "O 0.48\n",
      "[0, 10, 1.0]\n",
      "O 0.6\n",
      "[0, 10, 5.75]\n",
      "O 0.73\n",
      "[0, 10, 10.5]\n",
      "O 1.52\n",
      "[0, 10, 15.25]\n",
      "O 1.21\n",
      "[0, 10, 20.0]\n",
      "N 0.56\n",
      "[0, 10, 1.0]\n",
      "N 0.65\n",
      "[0, 10, 5.75]\n",
      "N 0.75\n",
      "[0, 10, 10.5]\n",
      "N 1.55\n",
      "[0, 10, 15.25]\n",
      "N 0.3\n",
      "[0, 10, 20.0]\n",
      "S 0.88\n",
      "[0, 10, 1.0]\n",
      "S 1.0\n",
      "[0, 10, 5.75]\n",
      "S 1.02\n",
      "[0, 10, 10.5]\n",
      "S 1.8\n",
      "[0, 10, 15.25]\n",
      "S 0.43\n",
      "[0, 10, 20.0]\n",
      "P 0.98\n",
      "[0, 10, 1.0]\n",
      "P 1.0\n",
      "[0, 10, 5.75]\n",
      "P 1.06\n",
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      "P 1.8\n",
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      "P 0.31\n",
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      "M 1.65\n",
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      "M 1.6\n",
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      "M 1.53\n",
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      "M 1.72\n",
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      "M 1.29\n",
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      "Halogen 0.79\n",
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      "Halogen 1.0\n",
      "[0, 10, 5.75]\n",
      "Halogen 0.99\n",
      "[0, 10, 10.5]\n",
      "Halogen 1.75\n",
      "[0, 10, 15.25]\n",
      "Halogen 1.67\n",
      "[0, 10, 20.0]\n"
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    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div id='c8f19eb5-3088-4a2f-a3b2-d2653f0907a4'></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "anno_li = ['Atom','Atomic-Ionic','Covalent','Vdw','Crystal']\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "fig_m = plt.figure()\n",
    "fig_m.set_facecolor('white')\n",
    "n=0\n",
    "m=0\n",
    "for i in atom_color:\n",
    "  ax = fig_m.add_subplot(id_list[m], projection='3d')\n",
    "  m = m+1\n",
    "  h=0\n",
    "  ax.set_title(i+' Atom')\n",
    "  for radi in atom_rdii[i]:\n",
    "    atom_now=coord[n]\n",
    "    print(i,radi)\n",
    "    print(coord[n])\n",
    "    x=coord[n][0]\n",
    "    y=coord[n][1]\n",
    "    z=coord[n][2]\n",
    "    plot_atom_surface(x,y,z,radi,atom_color[i])\n",
    "    ax.text(x+2,y,z,anno_li[h])\n",
    "    ax.text(x-5,y-5,z,radi)\n",
    "    n=n+1\n",
    "    ax.grid(False) \n",
    "    ax.set_xlim(-10,10) \n",
    "    ax.set_ylim(0, 20) \n",
    "    ax.set_zlim(0, 20) \n",
    "    # 加一些label相关标记\n",
    "    ax.set_xlabel('X')\n",
    "    ax.set_ylabel('Y')\n",
    "    ax.set_zlabel('Z')\n",
    "    h=h+1\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8597dfdb-946e-4c6f-a87f-dffe5ef0ebef",
   "metadata": {},
   "source": [
    "如果你足够幸运的话"
   ]
  },
  {
   "attachments": {
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    }
   },
   "cell_type": "markdown",
   "id": "0b3cbaf9-0142-4140-b29e-751fc5f598a3",
   "metadata": {},
   "source": [
    "![Figure_1.png](attachment:9ae80cb3-4c17-4a06-b68b-b3c62a9e2aea.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e8a3d1f-45eb-4add-875e-2c2ea892cec5",
   "metadata": {},
   "source": [
    "### **参考**：\n",
    "\n",
    "1. 原子配色： https://zh.wikipedia.org/zh-hans/CPK配色\n",
    "2. matplot颜色对照表：https://zhuanlan.zhihu.com/p/65220518\n",
    "3. 原子半径：www.crystalmaker.com/support/tutorials/atomic-radii/index.html\n",
    "4. 原子半径：http://sobereva.com/255\n",
    "\n",
    "### **附加材料**：\n",
    "\n",
    "| Atomic Number | Element Symbol | Atomic Radius [Å] | Ionic Radius [Å] | Covalent Radius [Å] | Van-der-Waals Radius [Å] | Crystal Radius [Å] |\n",
    "| ------------- | -------------- | ----------------- | ---------------- | ------------------- | ------------------------ | ------------------ |\n",
    "| 1             | H              | 0.53              | 0.25             | 0.37                | 1.20                     | 0.10               |\n",
    "| 2             | C              | 0.67              | 0.70             | 0.77                | 1.70                     | 0.29               |\n",
    "| 3             | N              | 0.56              | 0.65             | 0.75                | 1.55                     | 0.30               |\n",
    "| 4             | O              | 0.48              | 0.60             | 0.73                | 1.52                     | 1.21               |\n",
    "| 5             | S              | 0.88              | 1.00             | 1.02                | 1.80                     | 0.43               |\n",
    "| 6             | Cl             | 0.79              | 1.00             | 0.99                | 1.75                     | 1.67               |\n",
    "| 7             | P              | 0.98              | 1.00             | 1.06                | 1.80                     | 0.31               |\n",
    "| 8             | Ag             | 1.65              | 1.60             | 1.53                | 1.72                     | 1.29               |"
   ]
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