sandpit/calc_annual_harmonics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fit annual harmonics to the atlas monthly amplitude data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import pandas as pd\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.signal import hilbert\n",
    "\n",
    "from soda.utils import harmonic_analysis as ha\n",
    "from soda.utils import othertime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "frq, names = ha.getTideFreq(['SA','SSA','120d','90d'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "ha.harmonic_fit_array?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (depth: 100, frq: 5, latitude: 1000, longitude: 1750, modes: 4, time: 12)\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 2013-07-01 2013-08-01 ... 2014-06-01\n",
       "  * frq        (frq) float64 0.0001405 0.0001454 0.0001379 7.292e-05 6.76e-05\n",
       "  * modes      (modes) float64 0.0 1.0 2.0 3.0\n",
       "  * latitude   (latitude) float64 -25.0 -24.98 -24.96 ... -5.06 -5.04 -5.02\n",
       "  * longitude  (longitude) float64 107.5 107.5 107.5 107.6 ... 142.4 142.5 142.5\n",
       "  * depth      (depth) float64 3.734 11.46 19.44 ... 5.792e+03 5.996e+03\n",
       "Data variables:\n",
       "    amp_b      (time, frq, modes, latitude, longitude) float64 ...\n",
       "    phs_b      (time, frq, modes, latitude, longitude) float64 ...\n",
       "    z          (latitude, longitude) float64 ...\n",
       "    rho        (time, depth, latitude, longitude) float64 ...\n",
       "Attributes:\n",
       "    Name:          North West Shelf internal tide amplitude climatology\n",
       "    Date created:  2018:11:05 21:59:57\n",
       "    Author:        Matt Rayson\n",
       "    Institution:   University of Western Australia\n",
       "    Input Files:   ['../SCENARIOS/OUTPUT_NWS_2km_hex_2013_2014/NWS_2km_201307..."
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_all = xr.open_dataset(r'/home/suntans/cloudstor/Data/IWAtlas/NWS_internal_tide_atlas.nc',\n",
    "                        )\n",
    "\n",
    "#ds = ds_all.sel(modes=0)\n",
    "ds = ds_all.sel(longitude=188.5, latitude=-16.66,  method='nearest')\n",
    "ds_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
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       "    this.root.append(canvas_div);\n",
       "\n",
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       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
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       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
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       "    var rubberband = $('<canvas/>');\n",
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       "        stop: function(event, ui) {\n",
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       "            // 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",
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       "        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",
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       "        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",
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       "    );\n",
       "\n",
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       "    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",
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       "}\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",
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       "    if (!this.waiting) {\n",
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       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
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       "    y1 = Math.floor(y1) + 0.5;\n",
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       "\n",
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       "        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",
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       "        break;\n",
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       "        break;\n",
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       "        break;\n",
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       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7ff73add0a58>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.pcolormesh(ds_all.longitude, ds_all.latitude, ds_all.amp_b[:,0,0,...].std(axis=0),vmax=3)\n",
    "#plt.pcolormesh(ds.longitude, ds.latitude, np.abs(amp_SA),vmax=10)\n",
    "plt.colorbar()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12,)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ff=0\n",
    "mm=0\n",
    "# amp_b = ds.amp_b[:,ff,mm,:,:]\n",
    "# phs_b = ds.phs_b[:,ff,mm,:,:]\n",
    "\n",
    "amp_re = ds.amp_b[:,ff,mm,...]*np.cos(ds.phs_b[:,ff,mm,...]) \n",
    "#amp_im = amp_b*np.sin(phs_b)\n",
    "amp_re.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/suntans/code/soda/soda/utils/harmonic_analysis.py:66: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  b = np.linalg.lstsq(A,X)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(9,)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tsec = othertime.SecondsSince(ds.time.values)\n",
    "myamp_re = ha.harmonic_fit_array(amp_re.values,tsec,frq)\n",
    "myamp_re.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/suntans/code/soda/soda/utils/harmonic_analysis.py:66: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\n",
      "To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\n",
      "  b = np.linalg.lstsq(A,X)\n"
     ]
    }
   ],
   "source": [
    "amp_im = ds.amp_b[:,ff,mm,...]*np.sin(ds.phs_b[:,ff,mm,...]) \n",
    "myamp_im = ha.harmonic_fit_array(amp_im.values,tsec,frq)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "myamp_re_mu = myamp_re[0,...]\n",
    "myamp_re_re = myamp_re[1::2,...]\n",
    "myamp_re_im = myamp_re[2::2,...]\n",
    "\n",
    "myamp_im_mu = myamp_im[0,...]\n",
    "myamp_im_re = myamp_im[1::2,...]\n",
    "myamp_im_im = myamp_im[2::2,...]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "ii = 0\n",
    "amp_SA_re = myamp_re[2*ii+1,...]*np.cos(myamp_re[2*ii+2,...]) + \\\n",
    "    1j*(myamp_re[2*ii+1,...]*np.sin(myamp_re[2*ii+2,...]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"792\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7ff740288748>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.pcolormesh(ds.longitude, ds.latitude, np.abs(myamp_re[0,...]+1j*myamp_im[0,...]),vmax=10)\n",
    "#plt.pcolormesh(ds.longitude, ds.latitude, np.abs(amp_SA),vmax=10)\n",
    "plt.colorbar()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'[ .   ]'"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}