Jupyter-Notebook-Tutorial der Session eTraGo auf dem Abschlussworkshop von open_eGo in Berlin 2018

eTraGo_Session_Workshop2018.ipynb

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    "<img src=\"http://etrago.readthedocs.io/en/latest/_images/etrago_logo.png\" alt=\"HSF\" height=\"200\" width=\"200\"  align=\"center\" >\n"
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    "\n",
    "# <center> Abschlussworkshop open_eGo 2018 </center>\n",
    "\n",
    "##  <center> Session eTraGo - Optimaler Netz- und Speicherausbau auf Hoch- und Höchstspannungsebene  <center>\n"
   ]
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   "cell_type": "markdown",
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   "source": [
    "\n",
    "# Agenda <a class=\"anchor\" id=\"toc\"></a>\n",
    "\n",
    "\n",
    "* [Wichtige Links](#links)\n",
    "* [Installation](#install)\n",
    "* [Allgemeine Vorgehensweise](#allgemein)\n",
    "* Mögliche Fragestellungen\n",
    "    * [Optimaler Speicherausbau](#speicher)\n",
    "    * [Optimaler Netz- und Speicherausbau](#netz_speicher)\n",
    "    * [Bewertung der NEP-Maßnahmen](#nep)"
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   "source": [
    "# Wichtige Links <a class=\"anchor\" id=\"links\"></a>\n",
    "\n",
    "* __[eTraGo Source Code](https://github.com/openego/eTraGo)__\n",
    "* __[eTraGo Documentation](http://etrago.readthedocs.io/)__\n"
   ]
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   "cell_type": "markdown",
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   "source": [
    "# Installation <a class=\"anchor\" id=\"install\"></a>\n",
    "Zur Verwendung dieses Notebooks wird die aktuelle eTraGo Version sowie das python package jupyter benötigt. Installiere diese mit\n",
    "\n",
    "`pip3 install eTraGo --process-dependency-links`\n",
    "\n",
    "`pip3 install jupyter`"
   ]
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   "source": [
    "# Allgemeine Vorgehensweise<a class=\"anchor\" id=\"allgemein\"></a>\n",
    "\n",
    "1. Parameter-Einstellungen (args) in appl.py vornehmen.\n",
    "    (evtl. darüber hinaus default-Annahmen in untergelagerten Funktionsaufrufen anpassen)\n",
    "2. appl.py bzw. etrago(args) ausführen.\n",
    "3. Ergebnisse auswerten.\n",
    "4. evtl als csv oder in der oedb speichern. \n",
    "\n",
    "\n",
    "# Optimaler Speicherausbau im NEP 2035 Szenario<a class=\"anchor\" id=\"speicher\"></a>\n",
    "\n",
    "\n",
    "## Fragestellung\n",
    "\n",
    "1. An welchen Netzknoten entstehen in Zukunft welche Speicherbedarfe? (zentrale vs. dezentrale Lösungen)\n",
    "2. Welches Einsatzverhalten weisen diese optimierten Speicher auf? (Langzeit- vs. Kurzzeitspeicher)"
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   "source": [
    "# enable jupyter interactive plotting\n",
    "%matplotlib notebook\n",
    "from ipywidgets import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importieren der benötigten allgemeinen und eTraGo spezifischen python Packete "
   ]
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      "/home/ulf/venv/lib/python3.5/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use \"pip install psycopg2-binary\" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.\n",
      "  \"\"\")\n",
      "/home/ulf/venv/lib/python3.5/site-packages/sqlalchemy/ext/declarative/base.py:297: SAWarning: Ignoring declarative-like tuple value of attribute segment: possibly a copy-and-paste error with a comma left at the end of the line?\n",
      "  \"left at the end of the line?\" % k)\n",
      "/home/ulf/venv/lib/python3.5/site-packages/sqlalchemy/ext/declarative/base.py:297: SAWarning: Ignoring declarative-like tuple value of attribute cable: possibly a copy-and-paste error with a comma left at the end of the line?\n",
      "  \"left at the end of the line?\" % k)\n",
      "INFO:keyring.backend:Loading Gnome\n",
      "INFO:keyring.backend:Loading Google\n",
      "INFO:keyring.backend:Loading Windows (alt)\n",
      "INFO:keyring.backend:Loading file\n",
      "INFO:keyring.backend:Loading keyczar\n",
      "INFO:keyring.backend:Loading multi\n",
      "INFO:keyring.backend:Loading pyfs\n",
      "INFO:keyring.backend:Loading KWallet\n",
      "INFO:keyring.backend:Loading SecretService\n",
      "INFO:keyring.backend:Loading Windows\n",
      "INFO:keyring.backend:Loading macOS\n"
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   "source": [
    "import datetime\n",
    "import os\n",
    "import os.path\n",
    "import time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "if 'READTHEDOCS' not in os.environ:\n",
    "    # Sphinx does not run this code.\n",
    "    # Do not import internal packages directly\n",
    "    from etrago.cluster.disaggregation import (\n",
    "            MiniSolverDisaggregation,\n",
    "            UniformDisaggregation)\n",
    "    \n",
    "    from etrago.cluster.networkclustering import (\n",
    "        busmap_from_psql,\n",
    "        cluster_on_extra_high_voltage,\n",
    "        kmean_clustering)\n",
    "    \n",
    "    from etrago.tools.io import (\n",
    "        NetworkScenario,\n",
    "        results_to_oedb,\n",
    "        extension,\n",
    "        decommissioning)\n",
    "    \n",
    "    from etrago.tools.plot import (\n",
    "        plot_line_loading,\n",
    "        plot_stacked_gen,\n",
    "        add_coordinates,\n",
    "        curtailment,\n",
    "        gen_dist,\n",
    "        storage_distribution,\n",
    "        storage_expansion,\n",
    "        nodal_gen_dispatch,\n",
    "        network_expansion)\n",
    "\n",
    "    from etrago.tools.utilities import (\n",
    "        load_shedding,\n",
    "        data_manipulation_sh,\n",
    "        convert_capital_costs,\n",
    "        results_to_csv,\n",
    "        parallelisation,\n",
    "        pf_post_lopf,\n",
    "        loading_minimization,\n",
    "        calc_line_losses,\n",
    "        group_parallel_lines,\n",
    "        add_missing_components,\n",
    "        distribute_q,\n",
    "        set_q_foreign_loads,\n",
    "        clip_foreign,\n",
    "        foreign_links,\n",
    "        crossborder_capacity,\n",
    "        ramp_limits,\n",
    "        geolocation_buses,\n",
    "        get_args_setting,\n",
    "        set_branch_capacity)\n",
    "    \n",
    "    from etrago.tools.extendable import extendable, extension_preselection\n",
    "    from etrago.cluster.snapshot import snapshot_clustering, daily_bounds\n",
    "    from egoio.tools import db\n",
    "    from sqlalchemy.orm import sessionmaker\n",
    "    import oedialect\n",
    "    \n",
    "    from etrago.appl import etrago\n",
    "\n"
   ]
  },
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   "source": [
    "### Parameter-Einstellungen (args) in appl.py vornehmen\n",
    "\n",
    "Für diesen Fall sollen die Netzkapazitäten keine Variable sein. Neben der dispatch-Optimierung soll ausschließlich Speicherausbau optimiert werden. Hierzu wird die array Variable 'extendable': ['storage'] gesetzt."
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    "args = {  # Setup and Configuration:\n",
    "    'db': 'local',  # database session\n",
    "    'gridversion': 'v0.4.5',  # None for model_draft or Version number\n",
    "    'method': 'lopf',  # lopf or pf\n",
    "    'pf_post_lopf': False,  # perform a pf after a lopf simulation\n",
    "    'start_snapshot': 48,\n",
    "    'end_snapshot': 52,\n",
    "    'solver': 'gurobi',  # glpk, cplex or gurobi\n",
    "    'solver_options': {},  # {} for default or dict of solver options\n",
    "    'scn_name': 'NEP 2035',  # a scenario: Status Quo, NEP 2035, eGo 100\n",
    "    # Scenario variations:\n",
    "    'scn_extension': None, # None or array of extension scenarios\n",
    "    'scn_decommissioning': None, # None or decommissioning scenario\n",
    "    # Export options:\n",
    "    'lpfile': False,  # save pyomo's lp file: False or /path/tofolder\n",
    "    'csv_export': './results',  # save results as csv: False or /path/tofolder\n",
    "    'db_export': False,  # export the results back to the oedb\n",
    "    # Settings:\n",
    "    'extendable': ['storage'],  # Array of components to optimize\n",
    "    'generator_noise': 789456,  # apply generator noise, False or seed number\n",
    "    'minimize_loading': False,\n",
    "    'ramp_limits': False, # Choose if using ramp limit of generators\n",
    "    'extra_functionality': None,  # Choose function name or None\n",
    "    # Clustering:\n",
    "    'network_clustering_kmeans': 500,  # False or the value k for clustering\n",
    "    'load_cluster': \"load_cluster_nep_500\",  # False or predefined busmap for k-means\n",
    "    'network_clustering_ehv': False,  # clustering of HV buses to EHV buses.\n",
    "    'disaggregation': None, # or None, 'mini' or 'uniform'\n",
    "    'snapshot_clustering': False,  # False or the number of 'periods'\n",
    "    # Simplifications:\n",
    "    'parallelisation': False,  # run snapshots parallely.\n",
    "    'skip_snapshots': False,\n",
    "    'line_grouping': False,  # group lines parallel lines\n",
    "    'branch_capacity_factor': {'HV': 0.5, 'eHV' : 0.7},  # factors to change branch capacities\n",
    "    'load_shedding': False, # meet the demand at very high cost\n",
    "    'foreign_lines' : {'carrier': 'AC', 'capacity': 'osmTGmod'}, # dict containing carrier and capacity settings of foreign lines\n",
    "    'comments': None}"
   ]
  },
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   "cell_type": "markdown",
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    "### Starten der Rechnung \n",
    "\n",
    "Hierzu muss die appl.py bzw. die Funktion etrago(args) ausgeführt werden. Die Ergebnisse werden in Form eines PyPSA container (pandas) zur Verfügung gestellt."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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   "outputs": [
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for StoragePqSet in column p_set.\n",
      "Series p_set of component StorageUnit could not be imported\n",
      "start k-mean clustering\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ulf/venv/lib/python3.5/site-packages/sklearn/cluster/k_means_.py:893: RuntimeWarning: Explicit initial center position passed: performing only one init in k-means instead of n_init=10\n",
      "  return_n_iter=True)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Inertia of k-means =  315.5491611310268\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:pypsa.pf:Slack bus for sub-network 0 is 0\n",
      "INFO:pypsa.opf:Performed preliminary steps\n",
      "INFO:pypsa.opf:Building pyomo model using `angles` formulation\n",
      "INFO:pypsa.opf:Solving model using gurobi\n",
      "INFO:pypsa.opf:Optimization successful\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time for LOPF [min]: 0.15\n",
      "Investment costs for all storage units in selected snapshots [EUR]: 22088.15\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:pypsa.io:Exported network results has lines, generators, links, storage_units, carriers, buses, loads\n"
     ]
    }
   ],
   "source": [
    "network, disagg_network = etrago(args)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Auswertung\n",
    "\n",
    "Insbesondere die Plotting-Funktionen in etrago.tools.plot können für die Analyse der Ergebnisse verwendet werden."
   ]
  },
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   "cell_type": "code",
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       "    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",
       "\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",
       "\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'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 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",
       "            fig.waiting = false;\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",
       "            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(\"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",
       "/*\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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             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",
       "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\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\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",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { 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 = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\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",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Speicherausbau je Technologie und Knoten\n",
    "\n",
    "storage_expansion(network, scaling=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "# Optimaler Netz- und Speicherausbau<a class=\"anchor\" id=\"netz_speicher\"></a>\n",
    "\n",
    "\n",
    "## Fragestellung\n",
    "\n",
    "Welche Kombination aus Netz- und Speicherausbau ist ökonmisch sinnvoll und technisch machbar?\n",
    "\n",
    "## args Einstellungen vornehmen\n",
    "\n",
    "1. Zeitraum einstellen: 'start_snapshot': 48, 'end_snapshot': 72\n",
    "2. Szenario einstellen: 'scn_name': 'eGo 100'\n",
    "3. Netzausbau aktivieren und Speicherausbau im Ausland als Variable setzen: 'extendable': ['network', 'storage', 'foreign_storage']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "args_gs = {  # Setup and Configuration:\n",
    "    'db': 'local',  # database session\n",
    "    'gridversion': 'v0.4.5',  # None for model_draft or Version number\n",
    "    'method': 'lopf',  # lopf or pf\n",
    "    'pf_post_lopf': False,  # perform a pf after a lopf simulation\n",
    "    'start_snapshot': 48,\n",
    "    'end_snapshot': 72,\n",
    "    'solver': 'gurobi',  # glpk, cplex or gurobi\n",
    "    'solver_options': {},  # {} for default or dict of solver options\n",
    "    'scn_name': 'eGo 100',  # a scenario: Status Quo, NEP 2035, eGo 100\n",
    "    # Scenario variations:\n",
    "    'scn_extension': None, # None or array of extension scenarios\n",
    "    'scn_decommissioning': None, # None or decommissioning scenario\n",
    "    # Export options:\n",
    "    'lpfile': False,  # save pyomo's lp file: False or /path/tofolder\n",
    "    'csv_export': './results',  # save results as csv: False or /path/tofolder\n",
    "    'db_export': False,  # export the results back to the oedb\n",
    "    # Settings:\n",
    "    'extendable': ['network', 'storage', 'foreign_storage'],  # Array of components to optimize\n",
    "    'generator_noise': 789456,  # apply generator noise, False or seed number\n",
    "    'minimize_loading': False,\n",
    "    'ramp_limits': False, # Choose if using ramp limit of generators\n",
    "    'extra_functionality': None,  # Choose function name or None\n",
    "    # Clustering:\n",
    "    'network_clustering_kmeans': 50,  # False or the value k for clustering\n",
    "    'load_cluster': False,  # False or predefined busmap for k-means\n",
    "    'network_clustering_ehv': False,  # clustering of HV buses to EHV buses.\n",
    "    'disaggregation': None, # or None, 'mini' or 'uniform'\n",
    "    'snapshot_clustering': False,  # False or the number of 'periods'\n",
    "    # Simplifications:\n",
    "    'parallelisation': False,  # run snapshots parallely.\n",
    "    'skip_snapshots': False,\n",
    "    'line_grouping': False,  # group lines parallel lines\n",
    "    'branch_capacity_factor': {'HV': 0.5, 'eHV' : 0.7},  # factors to change branch capacities\n",
    "    'load_shedding': False, # meet the demand at very high cost\n",
    "    'foreign_lines' : {'carrier': 'AC', 'capacity': 'osmTGmod'}, # dict containing carrier and capacity settings of foreign lines\n",
    "    'comments': None}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Starten der Rechnung "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for StoragePqSet in column p_set.\n",
      "Series p_set of component StorageUnit could not be imported\n",
      "start k-mean clustering\n",
      "Inertia of k-means =  5985.797310710579\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:pypsa.pf:Slack bus for sub-network 0 is 0\n",
      "INFO:pypsa.opf:Performed preliminary steps\n",
      "INFO:pypsa.opf:Building pyomo model using `angles` formulation\n",
      "INFO:pypsa.opf:Solving model using gurobi\n",
      "INFO:pypsa.opf:Optimization successful\n",
      "INFO:pypsa.io:Exported network results has lines, generators, links, storage_units, carriers, buses, loads\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time for LOPF [min]: 1.01\n",
      "Investment costs for all storage units in selected snapshots [EUR]: 826715.57\n",
      "Investment costs for all lines and transformers in selected snapshots [EUR]: 339075.76\n"
     ]
    }
   ],
   "source": [
    "network, disagg_network = etrago(args_gs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\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",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.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 = $(\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",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\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; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\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",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\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 * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\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",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 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",
       "\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",
       "\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'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 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",
       "            fig.waiting = false;\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",
       "            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(\"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",
       "/*\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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             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",
       "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\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\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",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { 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 = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\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",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ulf/venv/lib/python3.5/site-packages/matplotlib/colorbar.py:890: RuntimeWarning: invalid value encountered in true_divide\n",
      "  z = np.take(y, i0) + (xn - np.take(b, i0)) * dy / db\n"
     ]
    }
   ],
   "source": [
    "# Netzausbau je Leitung relativ zur ursprünglich installierten Leistung\n",
    "# maximal-möglicher Leitungsausbau je Leitung beträgt vier Mal der ursprünglich installierten Leistung\n",
    "\n",
    "network_expansion(network, ext_width=80)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\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",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.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 = $(\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",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\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; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\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",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\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 * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\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",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 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",
       "\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",
       "\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'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 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",
       "            fig.waiting = false;\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",
       "            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(\"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",
       "/*\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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             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",
       "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\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\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",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { 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 = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\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",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Speicherausbau je Technologie und Knoten\n",
    "\n",
    "storage_expansion(network, scaling=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bewertung von NEP Maßnahmen <a class=\"anchor\" id=\"nep\"></a>\n",
    "\n",
    "## Fragestellung\n",
    "\n",
    "### Wie werden die Maßnahmen des NEP 2035 B2 in eTraGo bewertet?\n",
    "\n",
    "\n",
    "## Daraus resultierende Einstellungen\n",
    "\n",
    "- Auswahl von Szenario NEP 2035\n",
    "- geplante Leitungen nach dem NEP 2035 B2 hinzufügen\n",
    "- Rückbau aus dem Bestandsnetz nach dem NEP 2035 B2\n",
    "- technisch-wirtschaftliche Optimierung der geplanten Leitungen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "args_nep = {\n",
    "    # Setup and Configuration:\n",
    "    'db': 'oedb',  # database session\n",
    "    'gridversion': None,  # None for model_draft or Version number\n",
    "    'method': 'lopf',  # lopf or pf\n",
    "    'pf_post_lopf': False,  # perform a pf after a lopf simulation\n",
    "    'start_snapshot': 48,\n",
    "    'end_snapshot': 72,\n",
    "    'solver': 'gurobi',  # glpk, cplex or gurobi\n",
    "    'solver_options': {'BarConvTol': 1.e-5, 'FeasibilityTol': 1.e-5,\n",
    "                       'method':2, 'crossover':0,\n",
    "                       'logFile': 'solver.log'},  # {} for default options\n",
    "    'scn_name': 'NEP 2035',  # a scenario: Status Quo, NEP 2035, eGo 100\n",
    "    # Scenario variations:\n",
    "    'scn_extension': ['nep2035_b2', 'BE_NO_NEP 2035'],  # None or array of extension scenarios\n",
    "    'scn_decommissioning': 'nep2035_b2',  # None or decommissioning scenario   \n",
    "    # Export options:\n",
    "    'lpfile': False,  # save pyomo's lp file: False or /path/tofolder\n",
    "    'csv_export': False,  # save results as csv: False or /path/tofolder\n",
    "    'db_export': False,  # export the results back to the oedb\n",
    "    # Settings:\n",
    "    'extendable': ['overlay_network'],  # Array of components to optimize\n",
    "    'generator_noise': 789456,  # apply generator noise, False or seed number\n",
    "    'minimize_loading': False,\n",
    "    'ramp_limits': False,  # Choose if using ramp limit of generators\n",
    "    'extra_functionality': None,  # Choose function name or None\n",
    "    # Clustering:\n",
    "    'network_clustering_kmeans': 500,  # False or the value k for clustering\n",
    "    'load_cluster': 'load_cluster_nep_ext_500',  # False or predefined busmap for k-means\n",
    "    'network_clustering_ehv': False,  # clustering of HV buses to EHV buses.\n",
    "    'disaggregation': None,  # None, 'mini' or 'uniform'\n",
    "    'snapshot_clustering': False,  # False or the number of 'periods'\n",
    "    # Simplifications:\n",
    "    'parallelisation': False,  # run snapshots parallely.\n",
    "    'skip_snapshots': False,\n",
    "    'line_grouping': False,  # group lines parallel lines\n",
    "    'branch_capacity_factor': {'HV': 0.5, 'eHV': 0.7},  # p.u. branch derating\n",
    "    'load_shedding': True,  # meet the demand at value of loss load cost\n",
    "    'foreign_lines': {'carrier': 'AC', 'capacity': 'osmTGmod'},\n",
    "    'comments': None}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ausführen der Berechnung"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for StoragePqSet in column p_set.\n",
      "Series p_set of component StorageUnit could not be imported\n",
      "No data for GeneratorPqSet in column p_set.\n",
      "Series p_set of component Generator could not be imported\n",
      "No data for GeneratorPqSet in column p_max_pu.\n",
      "Series p_max_pu of component Generator could not be imported\n",
      "No data for LoadPqSet in column p_set.\n",
      "Series p_set of component Load could not be imported\n",
      "No data for LoadPqSet in column q_set.\n",
      "Series q_set of component Load could not be imported\n",
      "No data for StoragePqSet in column p_set.\n",
      "Series p_set of component StorageUnit could not be imported\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:pypsa.io:Error, new components for Carrier are not unique\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No data for StoragePqSet in column p_set.\n",
      "Series p_set of component StorageUnit could not be imported\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:pypsa.io:Error, new components for Carrier are not unique\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "start k-mean clustering\n",
      "Inertia of k-means =  423.1414097481512\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:pypsa.pf:Slack bus for sub-network 0 is 0\n",
      "INFO:pypsa.pf:Slack bus for sub-network 1 is 13\n",
      "INFO:pypsa.pf:Slack bus for sub-network 2 is 4\n",
      "INFO:pypsa.opf:Performed preliminary steps\n",
      "INFO:pypsa.opf:Building pyomo model using `angles` formulation\n",
      "INFO:pypsa.opf:Solving model using gurobi\n",
      "INFO:pypsa.opf:Optimization successful\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Time for LOPF [min]: 1.18\n",
      "Investment costs for all lines and transformers in selected snapshots [EUR]: 2047.98\n"
     ]
    }
   ],
   "source": [
    "# Start eTraGo calculation with args setting\n",
    "# create network object which incluedes all input and output data\n",
    "network, disagg_network = etrago(args_nep)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Berechnung des absoluten Netzausbaus"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9159.6612861311"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(network.lines.s_nom_opt - network.lines.s_nom_min)[network.lines.s_nom_extendable].sum()\\\n",
    "+ (network.links.p_nom_opt - network.links.p_nom_min)[network.links.p_nom_extendable].sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Darstellung des Ausbaus der geplanten Leitungen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\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",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.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 = $(\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",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\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; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\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",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\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 * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\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",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 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",
       "\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",
       "\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'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 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",
       "            fig.waiting = false;\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",
       "            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(\"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",
       "/*\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",
       "    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",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\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",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             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",
       "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\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\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",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { 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 = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\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",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" 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load_cluster_nep_500

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