{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demo for ppn run analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab nbagg\n",
    "from nugridpy  import ppn\n",
    "from nugridpy  import utils"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Initialize ppn instances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'cd' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-8ccf6f6958d6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mcd\u001b[0m \u001b[0;34m/\u001b[0m\u001b[0muser\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mscratch14\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mNuGrid\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mNuPPN\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mexamples\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mppn_iprocess_1zone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0mpa\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mppn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mabu_vector\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mpx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mppn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxtime\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'.'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'cd' is not defined"
     ]
    }
   ],
   "source": [
    "\n",
    "cd /user/scratch14/NuGrid/NuPPN/examples/ppn_iprocess_1zone\n",
    "pa = ppn.abu_vector('..')\n",
    "px = ppn.xtime('..')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/user/scratch14/NuGrid/NuPPN/examples/ppn_iprocess_1zone/python-scripts'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The xtime instance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is in the xtime instance?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " 'ZN 83',\n",
       " 'ZN 84',\n",
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       " 'ZN 88',\n",
       " 'ZN 89',\n",
       " 'ZN 90',\n",
       " 'ZN 91',\n",
       " 'ZN 92',\n",
       " 'ZN 93',\n",
       " 'ZN 94',\n",
       " 'ZN 95',\n",
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       " 'GA 53',\n",
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       " ...]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "px.cols"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Abundance evolution plots\n",
    "This uses the plot method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\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('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",
       "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.focus_on_mousover = false;\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "    $(parent_element).append(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",
       "            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",
       "            fig.waiting = false;\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "    canvas_div.resizable({ resize: mpl.debounce_resize(\n",
       "        function(event, ui) { fig.request_resize(ui.size.width, ui.size.height); }\n",
       "        , 50)});\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both;');\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0;\")\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "    function mouse_event_fn(event) {\n",
       "        return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keydown('key_release', canvas_keyboard_event);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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_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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\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, 0, fig.canvas.width, fig.canvas.height);\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",
       "    {\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.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (this.focus_on_mouseover && name === 'motion_notify')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button});\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 = function(event, name) {\n",
       "    /* Don't fire events just when a modifier is changed.  Modifiers are\n",
       "       sent along with other keys. */\n",
       "    if (event.keyCode >= 16 && event.keyCode <= 20) {\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    value = '';\n",
       "    if (event.ctrlKey) {\n",
       "        value += \"ctrl+\";\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        value += \"alt+\";\n",
       "    }\n",
       "    value += String.fromCharCode(event.keyCode).toLowerCase();\n",
       "\n",
       "    this.send_message(name, {key: value});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        var format_dropdown = this.format_dropdown;\n",
       "        var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "        this.ondownload(this, format);\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",
       "mpl.debounce_event = function(func, time){\n",
       "    var timer;\n",
       "    return function(event){\n",
       "        clearTimeout(timer);\n",
       "        timer = setTimeout(function(){ func(event); }, time);\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.debounce_resize = function(func, time){\n",
       "    var timer;\n",
       "    return function(event, ui){\n",
       "        clearTimeout(timer);\n",
       "        timer = setTimeout(function(){ func(event, ui); }, time);\n",
       "    };\n",
       "}\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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           function() { },\n",
       "                           element.get(0));\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.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(fig.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\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).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.send_message('closing', {});\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 dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Close figure', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\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 (cell.output_area.outputs[j]['text/html'] == html_output) {\n",
       "                    var output = cell.output_area.outputs[j];\n",
       "                    return [cell, output, 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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript at 0x7ff4a836ff50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML at 0x7ff4a836ffd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7ff4a82d2cd0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "specs=['PROT','HE  4','C  12','N  14','O  16']\n",
    "i=0\n",
    "for spec in specs:\n",
    "    px.plot('time',spec,logy=True,logx=True,shape=utils.linestyle(i)[0],show=False,title='')\n",
    "    i += 1\n",
    "ylim(-5,0.2)\n",
    "legend(loc=0)\n",
    "xlabel('$\\log t / \\mathrm{min}$')\n",
    "ylabel('$\\log X \\mathrm{[mass fraction]}$')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}