Triangulated surface

GeosurfaceTriang.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from scipy.interpolate import interp2d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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",
       "        };\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",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x;\n",
       "    var y = canvas_pos.y;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"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",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var 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 = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\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"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/norrius/Programs/anaconda3/lib/python3.5/site-packages/scipy/interpolate/_fitpack_impl.py:975: RuntimeWarning: No more knots can be added because the number of B-spline\n",
      "coefficients already exceeds the number of data points m.\n",
      "Probable causes: either s or m too small. (fp>s)\n",
      "\tkx,ky=1,1 nx,ny=50,52 m=2380 fp=38.460903 s=0.000000\n",
      "  warnings.warn(RuntimeWarning(_iermess2[ierm][0] + _mess))\n"
     ]
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "# plt.rcParams[\"figure.figsize\"] = [1.0, 1.5]\n",
    "\n",
    "delta = 1.0\n",
    "x_range = np.arange(1314183, 1314377, delta)\n",
    "y_range = np.arange(451852 , 452039 , delta)\n",
    "\n",
    "f = interp2d(x, y, z)\n",
    "\n",
    "X, Y = np.meshgrid(x_range, y_range)\n",
    "zs = np.array([f(x,y) for x,y in zip(np.ravel(X), np.ravel(Y))])\n",
    "Z = zs.reshape(X.shape)\n",
    "\n",
    "ax.plot_trisurf(x, y, z, cmap=plt.get_cmap('terrain'), linewidth=0.2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
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