simpeg/simpegPF/notebooks/SimPEG Tutorial - MAG Linear Problem.ipynb

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    "**Objective:** \n",
    "\n",
    "In this tutorial we will create a simple magnetic problem from scratch using the SimPEG framework.\n",
    "\n",
    "We are using the integral form of the magnetostatic problem. In the absence of free-currents or changing magnetic field, magnetic material can give rise to a secondary magnetic field according to:\n",
    "\n",
    "$$\\vec b = \\frac{\\mu_0}{4\\pi}  \\int_{V}   \\vec M \\cdot \\nabla \\nabla \\left(\\frac{1}{r}\\right) \\; dV $$\n",
    "\n",
    "Where $\\mu_0$ is the magnetic permealitity of free-space, $\\vec M$ is the magnetization per unit volume and $r$  defines the distance between the observed field $\\vec b$ and the magnetized object. Assuming a purely induced response, the strenght of magnetization can be written as:\n",
    "\n",
    "$$ \\vec M = \\mu_0 \\kappa \\vec H_0 $$\n",
    "\n",
    "where $\\vec H$ is an external inducing magnetic field, and $\\kappa$ the magnetic susceptibility of matter.\n",
    "As derived by Sharma 1966, the integral can be evaluated for rectangular prisms such that:\n",
    "\n",
    "$$ \\vec b(P) =  \\mathbf{T} \\cdot \\vec H_0 \\; \\kappa $$\n",
    "\n",
    "Where the tensor matrix $\\bf{T}$ relates the three components of magnetization $\\vec M$ to the components of the field $\\vec b$:\n",
    "\n",
    "$$\\mathbf{T} =\n",
    "\t \\begin{pmatrix}\n",
    "       \t\tT_{xx} & T_{xy} & T_{xz}    \\\\\n",
    "\t\tT_{yx} & T_{yy} & T_{yz}    \\\\\n",
    "\t\tT_{zx} & T_{zy} & T_{zz}           \n",
    "\t\\end{pmatrix} $$\n",
    "    \n",
    "In general, we discretize the earth into a collection of cells, each contributing to the magnetic data such that:\n",
    "\n",
    "$$\\vec b(P) = \\sum_{j=1}^{nc} \\mathbf{T}_j \\cdot \\vec H_0 \\; \\kappa_j$$\n",
    "\n",
    "giving rise to a linear problem.\n",
    "\n",
    "The remaining of this notebook goes through all the important components of a 3D magnetic experiment. From mesh creation, topography, data and inverse problem. \n",
    "\n",
    "Enjoy.\n"
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      "Using matplotlib backend: nbAgg\n",
      "Populating the interactive namespace from numpy and matplotlib\n",
      "Efficiency Warning: Interpolation will be slow, use setup.py!\n",
      "\n",
      "            python setup.py build_ext --inplace\n",
      "    \n"
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     "text": [
      "C:\\Users\\dominiquef.MIRAGEOSCIENCE\\AppData\\Local\\Continuum\\Anaconda\\lib\\site-packages\\IPython\\kernel\\__init__.py:13: ShimWarning: The `IPython.kernel` package has been deprecated. You should import from ipykernel or jupyter_client instead.\n",
      "  \"You should import from ipykernel or jupyter_client instead.\", ShimWarning)\n"
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   "source": [
    "%matplotlib notebook\n",
    "%pylab\n",
    "from SimPEG import *\n",
    "import simpegPF as PF\n",
    "from simpegPF import BaseMag as MAG\n"
   ]
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      "C:\\Users\\dominiquef.MIRAGEOSCIENCE\\Documents\\GIT\\SimPEG\\simpeg\\SimPEG\\Maps.py:533: FutureWarning: `ActiveCells` is deprecated and will be removed in future versions. Use `InjectActiveCells` instead\n",
      "  FutureWarning)\n"
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    "# First we need to define the direction of the inducing field\n",
    "# As a simple case, we pick a vertical inducing field of magnitude 50,000nT. \n",
    "# From old convention, field orientation is given as an azimuth from North \n",
    "# (positive clockwise) and dip from the horizontal (positive downward).\n",
    "H0 = (50000.,90.,0.)\n",
    "\n",
    "\n",
    "# Create a mesh\n",
    "dx    = 5.\n",
    "\n",
    "hxind = [(dx,5,-1.3), (dx, 20), (dx,5,1.3)]\n",
    "hyind = [(dx,5,-1.3), (dx, 20), (dx,5,1.3)]\n",
    "hzind = [(dx,5,-1.3),(5, 10)]\n",
    "\n",
    "mesh = Mesh.TensorMesh([hxind, hyind, hzind], 'CCC')\n",
    "\n",
    "# Get index of the center\n",
    "midx = int(mesh.nCx/2)\n",
    "midy = int(mesh.nCy/2)\n",
    "\n",
    "# Lets create a simple Gaussian topo and set the active cells\n",
    "[xx,yy] = np.meshgrid(mesh.vectorNx,mesh.vectorNy)\n",
    "zz = -np.exp( ( xx**2 + yy**2 )/ 75**2 ) + mesh.vectorNz[-1]\n",
    "\n",
    "topo = np.c_[mkvc(xx),mkvc(yy),mkvc(zz)] # We would usually load a topofile\n",
    "\n",
    "actv = PF.Magnetics.getActiveTopo(mesh,topo,'N') # Go from topo to actv cells\n",
    "\n",
    "#nC   = mesh.nC \n",
    "#actv = np.asarray(range(mesh.nC))\n",
    "\n",
    "# Create active map to go from reduce space to full\n",
    "actvMap = Maps.ActiveCells(mesh, actv, -100)\n",
    "nC = len(actv)\n",
    "\n",
    "# Create and array of observation points\n",
    "xr = np.linspace(-20., 20., 20)\n",
    "yr = np.linspace(-20., 20., 20)\n",
    "X, Y = np.meshgrid(xr, yr)\n",
    "\n",
    "# Let just put the observation above the topo\n",
    "Z = -np.exp( ( X**2 + Y**2 )/ 75**2 ) + mesh.vectorNz[-1] + 5. \n",
    "\n",
    "# Create a MAGsurvey\n",
    "rxLoc = np.c_[Utils.mkvc(X.T), Utils.mkvc(Y.T), Utils.mkvc(Z.T)]\n",
    "rxLoc = MAG.RxObs(rxLoc)\n",
    "srcField = MAG.SrcField([rxLoc],H0)\n",
    "survey = MAG.LinearSurvey(srcField) \n"
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    "Now that we have all our spatial components, we can create our linear system. For a single location and single component of the data, the system would look like this:\n",
    "\n",
    "$$ b_x =\n",
    "\t\\begin{bmatrix}\n",
    "\tT_{xx}^1 &... &T_{xx}^{nc} & T_{xy}^1 & ... & T_{xy}^{nc} & T_{xz}^1 & ... & T_{xz}^{nc}\\\\\n",
    "\t \\end{bmatrix}\n",
    "\t \\begin{bmatrix}\n",
    "\t\t\\mathbf{M}_x \\\\ \\mathbf{M}_y \\\\ \\mathbf{M}_z\n",
    "\t\\end{bmatrix} \\\\ $$\n",
    "\n",
    "where each of $T_{xx},\\;T_{xy},\\;T_{xz}$ are [nc x 1] long. For the $y$ and $z$ component, we need the two other rows of the tensor $\\mathbf{T}$.\n",
    "In our simple induced case, the magnetization direction $\\mathbf{M_x,\\;M_y\\;,Mz}$ are known and assumed to be constant everywhere, so we can reduce the size of the system such that: \n",
    "\n",
    "$$ \\vec{\\mathbf{d}}_{\\text{pred}} = (\\mathbf{T\\cdot M})\\; \\kappa$$\n",
    "\n",
    "\n",
    "\n",
    "In most geophysical surveys, we are not collecting all three components, but rather the magnitude of the field, or $Total\\;Magnetic\\;Intensity$ (TMI) data.\n",
    "Because the inducing field is really large, we will assume that the anomalous fields are parallel to $H_0$:\n",
    "\n",
    "$$ d^{TMI}  = \\hat H_0 \\cdot \\vec d$$\n",
    "\n",
    "We then end up with a much smaller system:\n",
    "\n",
    "$$ d^{TMI} = \\mathbf{F\\; \\kappa}$$\n",
    "\n",
    "where $\\mathbf{F} \\in \\mathbb{R}^{nd \\times nc}$ is our $forward$ operator."
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     "text": [
      "Begin calculation of forward operator: ind\n",
      "Done 0.0 %\n",
      "Done 10.0 %\n",
      "Done 20.0 %\n",
      "Done 30.0 %\n",
      "Done 40.0 %\n",
      "Done 50.0 %\n",
      "Done 60.0 %\n",
      "Done 70.0 %\n",
      "Done 80.0 %\n",
      "Done 90.0 %\n",
      "Done 100% ...forward operator completed!!\n",
      "\n"
     ]
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    "# We can now create a susceptibility model and generate data\n",
    "# Lets start with a simple block in half-space\n",
    "model = np.zeros((mesh.nCx,mesh.nCy,mesh.nCz))\n",
    "model[(midx-2):(midx+2),(midy-2):(midy+2),-6:-2] = 0.01\n",
    "model = mkvc(model)\n",
    "model = model[actv]\n",
    "\n",
    "# Create active map to go from reduce set to full\n",
    "actvMap = Maps.InjectActiveCells(mesh, actv, -100)\n",
    "\n",
    "# Creat reduced identity map\n",
    "idenMap = Maps.IdentityMap(nP = len(actv))\n",
    "\n",
    "# Create the forward model operator\n",
    "prob = PF.Magnetics.MagneticIntegral(mesh, mapping = idenMap, actInd = actv)\n",
    "\n",
    "# Pair the survey and problem\n",
    "survey.pair(prob)\n",
    "\n",
    "# Compute linear forward operator and compute some data\n",
    "d = prob.fields(model)"
   ]
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       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step});\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",
       "    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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    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",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.send_message('closing', {});\n",
       "    fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Close figure', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "\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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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar instance at 0x0000000016394448>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "# Plot the model\n",
    "figure()\n",
    "ax = subplot(212)\n",
    "mesh.plotSlice(actvMap * model, ax = ax, normal = 'Y', ind=midy, grid=True, clim = (-1e-3, model.max()))\n",
    "title('A simple block model.')\n",
    "xlabel('x');ylabel('z')\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "\n",
    "# We can now generate data\n",
    "data = d + randn(len(d)) # We add some random Gaussian noise (1nT)\n",
    "wd = np.ones(len(data))*1. # Assign flat uncertainties\n",
    "\n",
    "\n",
    "subplot(221)\n",
    "imshow(d.reshape(X.shape), extent=[xr.min(), xr.max(), yr.min(), yr.max()])\n",
    "title('True data.')\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "plt.colorbar()\n",
    "\n",
    "subplot(222)\n",
    "imshow(data.reshape(X.shape), extent=[xr.min(), xr.max(), yr.min(), yr.max()])\n",
    "title('Data + Noise')\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "plt.colorbar()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.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",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "            fig.waiting = false;\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\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 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);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // 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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step});\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",
       "    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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    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",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.send_message('closing', {});\n",
       "    fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Close figure', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "\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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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create distance weights from our linera forward operator\n",
    "wr = np.sum(prob.G**2.,axis=0)**0.5\n",
    "wr = ( wr/np.max(wr) )\n",
    "\n",
    "\n",
    "wr_FULL = actvMap * wr\n",
    "plt.figure()\n",
    "ax = subplot()\n",
    "mesh.plotSlice(wr_FULL, ax = ax, normal = 'Y', ind=midx, grid=True, clim = (0, wr.max()))\n",
    "title('Distance weighting')\n",
    "xlabel('x');ylabel('z')\n",
    "plt.gca().set_aspect('equal', adjustable='box')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once we have our problem, we can use the inversion tools in SimPEG to run our inversion:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#survey.makeSyntheticData(data, std=0.01)\n",
    "survey.dobs=data\n",
    "survey.std = np.ones(len(data))\n",
    "survey.mtrue = model\n",
    "\n",
    "# Create a regularization\n",
    "reg = Regularization.Simple(mesh, indActive = actv, mapping = idenMap)\n",
    "reg.wght = wr\n",
    "\n",
    "# Directive to cool the trade-off parameter beta\n",
    "beta = Directives.BetaSchedule(coolingFactor=2, coolingRate=1)\n",
    "beta_in = 1e+4\n",
    "\n",
    "# Create a jacobi pre-conditioner\n",
    "diagA = np.sum(prob.G**2.,axis=0) + beta_in*(reg.W.T*reg.W).diagonal()\n",
    "PC     = Utils.sdiag(diagA**-1.)\n",
    "\n",
    "# Define the misfit function\n",
    "dmis = DataMisfit.l2_DataMisfit(survey)\n",
    "dmis.Wd = 1./survey.std\n",
    "\n",
    "\n",
    "# Solver for the optimization problem\n",
    "opt = Optimization.ProjectedGNCG(maxIter=10, lower=0.,upper=1., maxIterCG= 30, tolCG = 1e-3)\n",
    "opt.approxHinv = PC\n",
    "\n",
    "# Put everything together\n",
    "invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta = beta_in)\n",
    "target = Directives.TargetMisfit()\n",
    "\n",
    "inv = Inversion.BaseInversion(invProb, directiveList=[beta,target])\n",
    "m0 = np.ones(mesh.nC)*1e-4\n",
    "m0 = m0[actv]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SimPEG.InvProblem will set Regularization.mref to m0.\n",
      "SimPEG.InvProblem is setting bfgsH0 to the inverse of the eval2Deriv.\n",
      "                    ***Done using same Solver and solverOpts as the problem***\n",
      "=============================== Projected GNCG ===============================\n",
      "  #     beta     phi_d     phi_m       f      |proj(x-g)-x|  LS    Comment   \n",
      "-----------------------------------------------------------------------------\n",
      "   0  1.00e+04  6.73e+04  0.00e+00  6.73e+04    8.30e+01      0              \n",
      "   1  5.00e+03  1.33e+03  3.52e-02  1.50e+03    6.45e+01      0              \n",
      "   2  2.50e+03  3.14e+02  5.17e-02  4.44e+02    7.06e+01      0   Skip BFGS  \n",
      "------------------------- STOP! -------------------------\n",
      "1 : |fc-fOld| = 0.0000e+00 <= tolF*(1+|f0|) = 6.7288e+03\n",
      "1 : |xc-x_last| = 1.6646e-02 <= tolX*(1+|x0|) = 1.0111e-01\n",
      "0 : |proj(x-g)-x|    = 7.0593e+01 <= tolG          = 1.0000e-01\n",
      "0 : |proj(x-g)-x|    = 7.0593e+01 <= 1e3*eps       = 1.0000e-02\n",
      "0 : maxIter   =      10    <= iter          =      3\n",
      "------------------------- DONE! -------------------------\n"
     ]
    }
   ],
   "source": [
    "mrec = inv.run(m0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inversion has converged. We can plot sections through the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.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",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "            fig.waiting = false;\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\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 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);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // 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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step});\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",
       "    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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    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",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.send_message('closing', {});\n",
       "    fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Close figure', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "\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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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Here is the recovered susceptibility model\n",
    "plt.figure()\n",
    "ax = subplot(121)\n",
    "mesh.plotSlice(actvMap * mrec, ax = ax, normal = 'Z', ind=-2, clim = (-1e-3, model.max()))\n",
    "title('Recovered model.')\n",
    "xlabel('x');ylabel('y')\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "\n",
    "\n",
    "# Horizontalsection\n",
    "ax = subplot(122)\n",
    "mesh.plotSlice(actvMap * mrec, ax = ax, normal = 'Y', ind=midx, clim = (-1e-3, model.max()))\n",
    "title('Recovered model.')\n",
    "xlabel('x');ylabel('z')\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Great, we have a 3D model of susceptibility, but the job is not done yet.\n",
    "A VERY important step of the inversion workflow is to look at how well the model can predict the observed data.\n",
    "The figure below compares the observed, predicted and normalized residual.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
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       "    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",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "            fig.waiting = false;\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\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 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);\n",
       "        canvas.attr('height', height);\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // 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'];\n",
       "    var y0 = fig.canvas.height - msg['y0'];\n",
       "    var x1 = msg['x1'];\n",
       "    var y1 = fig.canvas.height - msg['y1'];\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step});\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",
       "    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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    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",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.send_message('closing', {});\n",
       "    fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-danger\" href=\"#\" title=\"Close figure\"><i class=\"fa fa-times icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Close figure', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "\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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\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar instance at 0x000000001BC6F288>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Plot predicted data and residual\n",
    "plt.figure()\n",
    "pred = prob.fields(mrec)  #: this is matrix multiplication!!\n",
    "\n",
    "subplot(221)\n",
    "imshow(data.reshape(X.shape))\n",
    "title('Observed data.')\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "colorbar()\n",
    "\n",
    "subplot(222)\n",
    "imshow(pred.reshape(X.shape))\n",
    "title('Predicted data.')\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "colorbar()\n",
    "\n",
    "subplot(223)\n",
    "imshow(data.reshape(X.shape) - pred.reshape(X.shape))\n",
    "title('Residual data.')\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "colorbar()\n",
    "\n",
    "subplot(224)\n",
    "imshow( (data.reshape(X.shape) - pred.reshape(X.shape)) / wd.reshape(X.shape) )\n",
    "title('Normalized Residual')\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Good job! \n",
    "Hopefully we covered all the important points regarding the inversion of magnetic field data using the integral formulation.\n",
    "\n",
    "Make sure you visit the notebook for the compact norms regularization.\n",
    "\n",
    "Cheers!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}