MEOP_ExtractDataForTurbulenceModel.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
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    "### This notebook extracts data that is required by the turbulence model to run\n",
    "1. Identify potential water columns of interest - begin with the FRIS sill\n",
    "1. Get vertical density profile of profiles of interest\n",
    "1. Get pressure gradient $\\nabla_{x,y} P$ between profiles of interest and points that are to the north and to the east. Ensure that there is less time interval between measurement of these water columns to make the gradient accurate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import gsw\n",
    "import pdb\n",
    "from mpl_toolkits.basemap import Basemap, cm\n",
    "from matplotlib.colors import LinearSegmentedColormap\n",
    "from IPython.display import Image\n",
    "import matplotlib.colors as colors\n",
    "from scipy.interpolate import griddata\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import Point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 560,
   "metadata": {},
   "outputs": [
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       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
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       "        }\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",
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       "        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",
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       "    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",
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       "    return false;\n",
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       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
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       "\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",
       "    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",
       "        // 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": {
      "text/html": [
       "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJ0AAACdCAYAAACuJnrWAAAGWElEQVR4nO3dbYgUdRzA8a9dkGVSYmoodj1w2JugtAeI3tuLoBACA5GCiF4URBAFRfimV70LqV7F4asw6IWQYsW5RHiKPXh7SJZdLRRUkEIUCb7ZXvxn2dl1vfZ2//vbc+77geV2Ztdlxvu6szv+ZwYkSZIkSZIkSZIkSZIkSZIkSVr+Vq9e3ZycnPRW4RtwcdhOFoDTxe2Z0vwpYBb4ofg51c+LTU5ONlVtQGPY6B69wvwZYHdxf08xbXQaWXQbgfPANcX0BHAB2GB0yhHdWWAeOABsLubtAOa6nlcHthudckQH6Z3sDaA2QHQvFQvRABrr1q0b99+JRixXdABrgUvAKty8ahE5o3sOOFWartH5ReJYPy9idNWXI7o66TPdETp3i2wDTpB2mZwspo1OWd/psjC66sPoFA2jUzSMTtEwOkXD6BQNo1M0jE7RMDpFw+gUDaNTNIxO0TA6RcPoFA2jUzSMTtEwOkXD6BQNo1M0MkT3A+lww0+BO0vzG8B3tE85sdPo1Gzmia51mOELwNGu6O5e6osZXfXliK5lB+lo/5YGRqceyBjdNPB2abpBOjyxDuwHbjI6NZv5onsVOA5cX5q3tfh5HfAeKcpePK3ECpMjuheBr4GbF3nOPcC5fl7Md7rqyxFdHbila94a2pvTVcBbwEdGp2YzT3Q/094tcryYdyfwLSnIM8BBYJPRqdl057DGAKNTNIxO0TA6RcPoFA2jUzSMTtEwOkXD6BQNo1M0jE7RMDpFw+gUDaNTNIxO0TA6RcPoFA2jUzSMTtHIEN1R2qeWeKg0fwqYLR6bpfOynEa3guWI7rXi5yOkwwxXFdMzdF5keMbo1Gzmia58vGsdeAAvp65F5Iiu7BCwi3Rek7mux+rAdqPTcojO00qsMDmic/OqJckRXfmLxEIptBqdXySO9fNiRld9OaL7jPSttQ48XJq/DThB2mVyspg2OrlzWPEwOkXD6BQNo1M0jE7RMDpFw+gUDaNTNIxO0TA6RcPoFA2jUzSMTtEwOkXD6BQNo1M0jE7RMDpFw+gUjQzRzQFf0nl4YY10kE7rkpzPGJ1ackQH8BjwfVd0jw7yQkZXfWSKbj3wL+3zmBidrihXdPvovFx6DTgLzAMHgM1Gp5Yc0T1F2rSWj97fWvycAN4oIrwSTyuxwuSI7hxw2yKPrwUu0d70Lsp3uurLEd1dXdPXAptK088Bp/p9MaOrvhzRnS7dbgbWAF+RTjMxDxyhz7NwGt3KkCO6rIyu+jA6RcPoFA2jUzSMTtEwOkXD6BQNo1M0jE7RMDpFw+gUDaNTNIxO0TA6RcPoFA2jUzSMTtEwOkXD6BSNjMdIvF6atxE4Srrs5hzwkNGpJUd0vXxA58WHz+EhiCqMKrp/6H2Z9f9ldNVHhujmgY9pX7l6PfBX13MOAbuMTs1mvne6vcBPpE3oUqPztBIrTK7oAM4DW4r7bl51Rbmi2wn8BlxTTE/T+UViofSY0a1wOaKbA74AHizNuxX4jPSttQ483O+LGV315YguK6OrPpZbdMBFSl8situFHvOqdKvy+vVat4tcBRrjXoARa4x7AUaoMe4FGFRj3AswYo1xL8AINca9AINqjHsBRqwx7gUYoca4F2BQL417AUasyutX5XWTJEmX63fg5wSwH/ixuD1bemwa+IXeA0ujTQGzpPWZpffJvm8APiStx1nS5a5aBh4IG2TY9asx4PXjcup34Ode4DDp/3I3kCK7vXhsGnh+lAu5BDPA7uL+nmK625vA+8X9KeB34MZieuCBsEGGXb8aA17KK6d+R6Z8AjxRmn4HeKW4P83yiG4jadRNa5DDBGnP/Iau550B7i1NHwKeLO4PPFInQI71qzHm6JYyBm8euK80/TIpPEjR/czlA0uj7SBtEsvqdF6eFOBvYF1p+h3S+gw1EDbAsOsHQ1w/bim+Af7scVsgX3RbaP/rKw8sjWZ0yWLRLeX6cSOTY/ParTywNJKb12Sx9Stb0vXjcpqmv4GfT9P5ReJX4I7isXJgO+kcWBqtRucH7WM9nrOPzg/af5B+ATDEQNggNQZfv6GuH5fTYgM/DwP3F/cngHdJv4QF0gK3fE7a/PYaWBptG3CCtEvhJO3Pl6dpf35ZAxwk7VL4Hni89OcHHggbZJj1G+r6cZIkSbr6/QcH2fL1JMcg0gAAAABJRU5ErkJggg==\" width=\"143.9166623776159\">"
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 557,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAALAAAACPCAYAAABam1EmAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nK+8trn/+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f27c489d080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "plt.figure(figsize=(2,2))\n",
    "plt.plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dfmg = pd.read_csv(\"dfmg_glDist.csv\")\n",
    "del dfmg['Unnamed: 0']\n",
    "del dfmg['Unnamed: 0.1']\n",
    "dfmg.loc[:,'JULD'] = pd.to_datetime(dfmg.loc[:, 'JULD'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 578,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'plot_stations' from '/media/data/Datasets/MEOP/MEOP-CTD_2016-07-12/UK/myScripts/plot_stations.py'>"
      ]
     },
     "execution_count": 578,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import plot_stations as pltStn\n",
    "import importlib\n",
    "importlib.reload(pltStn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'plot_bathy' from '/media/data/Datasets/MEOP/MEOP-CTD_2016-07-12/UK/myScripts/plot_bathy.py'>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import plot_bathy as pltBathy\n",
    "import importlib\n",
    "importlib.reload(pltBathy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import find_depth_averages_v2 as averageProfile\n",
    "import plot_var_contours_with_distance as plt2dDepthVsDist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 268,
   "metadata": {},
   "outputs": [],
   "source": [
    "WSO_source = (dfmg['CTEMP'] <= -1.7 ) & (dfmg[\"PSAL_ADJUSTED\"] > 34.5)\n",
    "WSO_prod = (dfmg['CTEMP'] <= -0.8) & (dfmg['CTEMP'] >= -1.2) & (dfmg[\"PSAL_ADJUSTED\"] > 34.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_mask_from_prof_mask(df, profmask):\n",
    "    profs = dfmg.loc[profmask, 'PROFILE_NUMBER'].unique()\n",
    "    mask = dfmg.loc[:, 'PROFILE_NUMBER'].isin(profs)\n",
    "    \n",
    "    return mask\n",
    "\n",
    "WSO_source = get_mask_from_prof_mask(dfmg, WSO_source)\n",
    "WSO_prod = get_mask_from_prof_mask(dfmg, WSO_prod)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import plot_station_bot_sal as pbs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def sel_months(df, months=[1]):\n",
    "    return df['JULD'].dt.month.isin(months)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "box1 = (dfmg[\"LATITUDE\"] > -80) & (dfmg[\"LATITUDE\"] < -75) & (dfmg[\"LONGITUDE\"] > -60) & (dfmg[\"LONGITUDE\"] < -40)\n",
    "box2 = (dfmg[\"LATITUDE\"] > -80) & (dfmg[\"LATITUDE\"] < -75) & (dfmg[\"LONGITUDE\"] > -40) & (dfmg[\"LONGITUDE\"] < -20)\n",
    "box3 = (dfmg[\"LATITUDE\"] > -75) & (dfmg[\"LATITUDE\"] < -70) & (dfmg[\"LONGITUDE\"] > -60) & (dfmg[\"LONGITUDE\"] < -40)\n",
    "box4 = (dfmg[\"LATITUDE\"] > -75) & (dfmg[\"LATITUDE\"] < -70) & (dfmg[\"LONGITUDE\"] > -40) & (dfmg[\"LONGITUDE\"] < -20)\n",
    "\n",
    "box5 = (dfmg[\"LATITUDE\"] > -80) & (dfmg[\"LATITUDE\"] < -75) & (dfmg[\"LONGITUDE\"] > 160) & (dfmg[\"LONGITUDE\"] < 180)\n",
    "box6 = (dfmg[\"LATITUDE\"] > -80) & (dfmg[\"LATITUDE\"] < -75) & (dfmg[\"LONGITUDE\"] > -180) & (dfmg[\"LONGITUDE\"] < -160)\n",
    "box7 = (dfmg[\"LATITUDE\"] > -75) & (dfmg[\"LATITUDE\"] < -70) & (dfmg[\"LONGITUDE\"] > 160) & (dfmg[\"LONGITUDE\"] < 180)\n",
    "box8 = (dfmg[\"LATITUDE\"] > -75) & (dfmg[\"LATITUDE\"] < -70) & (dfmg[\"LONGITUDE\"] > -180) & (dfmg[\"LONGITUDE\"] < -160)\n",
    "\n",
    "box9 = (dfmg[\"LATITUDE\"] > -70) & (dfmg[\"LATITUDE\"] < -65) & (dfmg[\"LONGITUDE\"] > 60) & (dfmg[\"LONGITUDE\"] < 70)\n",
    "box10 = (dfmg[\"LATITUDE\"] > -70) & (dfmg[\"LATITUDE\"] < -65) & (dfmg[\"LONGITUDE\"] > 70) & (dfmg[\"LONGITUDE\"] < 80)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Weddell = (box1 | box2 | box3| box4)\n",
    "Ross = (box5 | box6 | box7 | box8)\n",
    "Prydz = (box9 | box10)\n",
    "EBS = (dfmg['LONGITUDE'] > -80) & (dfmg['LONGITUDE'] < -60) #Eastern Bellingshausen Sea\n",
    "WBS = (dfmg['LONGITUDE'] > -100) & (dfmg['LONGITUDE'] < -80) # Western Bellingshausen Sea"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "dfmg['mab'] = abs(dfmg['ECHODEPTH'] - dfmg['DEPTH'])\n",
    "lt60 = abs(dfmg['mab']) < 60\n",
    "lt100 = abs(dfmg['mab']) < 100\n",
    "lt200 = abs(dfmg['mab']) < 200"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "lowSurfSal = (dfmg['PSAL_ADJUSTED'] < 33.5) & (dfmg['DEPTH'] > -100)\n",
    "cdw = (dfmg['PSAL_ADJUSTED'] > 34.6) & (dfmg['CTEMP'] > 0)\n",
    "maxTemp = (dfmg.groupby('PROFILE_NUMBER')['CTEMP'].transform(max) == dfmg['CTEMP'])\n",
    "gline_le_50km = dfmg['DIST_GLINE'] <= 50\n",
    "gline_le_100km = dfmg['DIST_GLINE'] <= 100\n",
    "gline_le_150km = dfmg['DIST_GLINE'] <= 150\n",
    "gline_le_25km = dfmg['DIST_GLINE'] <= 25"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def play_beep():\n",
    "    import os\n",
    "    duration = 0.5  # second\n",
    "    freq = 440  # Hz\n",
    "    os.system('play --no-show-progress --null --channels 1 synth %s sine %f' % (duration, freq))\n",
    "play_beep()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 530,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "677"
      ]
     },
     "execution_count": 530,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_mask = dfmg.loc[:, 'JULD'].dt.year == 2011\n",
    "month_mask = dfmg.loc[:, 'JULD'].dt.month == 3\n",
    "\n",
    "mask_selection = year_mask & month_mask & Weddell & WSO_source\n",
    "time_vector = dfmg.loc[dfmg.loc[mask_selection].\\\n",
    "                       groupby('PROFILE_NUMBER').head(1).index, 'JULD'].astype(pd.datetime).values\n",
    "\n",
    "profile_numbers = dfmg.loc[dfmg.loc[mask_selection].\\\n",
    "                           groupby('PROFILE_NUMBER').head(1).index, 'PROFILE_NUMBER'].values\n",
    "\n",
    "sorted_indices = np.argsort(time_vector)\n",
    "time_vector = time_vector[sorted_indices]\n",
    "profile_numbers = profile_numbers[sorted_indices]\n",
    "diff = np.diff(time_vector)\n",
    "for i in range(len(diff)):\n",
    "    diff[i] = diff[i].total_seconds()/3600.\n",
    "len(diff)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 584,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "447"
      ]
     },
     "execution_count": 584,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(profile_numbers[np.where(diff <= 1)[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 532,
   "metadata": {},
   "outputs": [],
   "source": [
    "diff_indices_le1 = np.where(diff <= 1)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 533,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([  0,   1,   2,   3,   4,   5,   7,   8,   9,  11,  12,  14,  15,\n",
       "         16,  18,  19,  21,  22,  23,  24,  25,  27,  28,  29,  30,  31,\n",
       "         33,  34,  35,  36,  38,  39,  40,  42,  44,  45,  46,  47,  48,\n",
       "         50,  51,  52,  53,  54,  55,  57,  58,  59,  60,  63,  65,  66,\n",
       "         67,  68,  69,  71,  72,  73,  75,  76,  78,  81,  83,  84,  85,\n",
       "         86,  87,  88,  90,  91,  92,  93,  94,  95,  96,  97,  99, 100,\n",
       "        101, 102, 103, 104, 105, 107, 108, 109, 110, 112, 113, 114, 115,\n",
       "        116, 118, 121, 123, 124, 126, 127, 128, 130, 131, 134, 135, 136,\n",
       "        137, 139, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 152,\n",
       "        153, 154, 155, 157, 158, 159, 161, 162, 163, 164, 165, 166, 168,\n",
       "        170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 181, 182, 183,\n",
       "        187, 188, 189, 191, 192, 193, 194, 195, 197, 199, 200, 201, 203,\n",
       "        204, 205, 207, 208, 209, 210, 212, 214, 216, 218, 219, 221, 222,\n",
       "        223, 225, 227, 228, 234, 235, 236, 237, 238, 239, 242, 244, 246,\n",
       "        247, 248, 249, 250, 251, 253, 254, 255, 256, 257, 259, 260, 264,\n",
       "        266, 271, 272, 274, 277, 278, 279, 281, 282, 283, 284, 285, 287,\n",
       "        288, 289, 291, 292, 293, 297, 299, 300, 302, 303, 306, 307, 309,\n",
       "        311, 312, 313, 316, 317, 318, 320, 321, 324, 325, 329, 330, 333,\n",
       "        334, 336, 337, 339, 340, 341, 342, 344, 346, 347, 348, 349, 350,\n",
       "        351, 352, 357, 358, 359, 361, 362, 363, 364, 365, 367, 368, 372,\n",
       "        373, 374, 377, 378, 379, 384, 388, 390, 391, 394, 395, 396, 397,\n",
       "        398, 399, 402, 403, 404, 406, 408, 409, 410, 411, 412, 413, 415,\n",
       "        416, 417, 418, 420, 421, 422, 424, 426, 427, 430, 431, 434, 436,\n",
       "        437, 440, 442, 443, 444, 445]),)"
      ]
     },
     "execution_count": 533,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.where((diff_indices_le1[1:] - diff_indices_le1[:-1]) == 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 534,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3,  4,  5,  6,  7,  8,  9, 11, 12, 13])"
      ]
     },
     "execution_count": 534,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_indices_le1[0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 535,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def consecutive(data, stepsize=1):\n",
    "    return np.split(data, np.where(np.diff(data) != stepsize)[0]+1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 651,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([111,  72,  27,  69,  68,  32, 126, 116, 124, 117,  62, 121, 118,\n",
       "        42,  43,  60, 120,  59,  58,  57,  74,  77,  73,  96, 136, 114,\n",
       "        82, 134,  13,  94,  97,  91,  87, 105, 106, 107,  19, 112,  83,\n",
       "       139,  99, 103,  76,  64,  89, 140,  71,  84,  52,  63,  51,  70,\n",
       "       119, 137,   9,  14,  18,  20, 132,  50, 128,  26,  28,  34,  55,\n",
       "       122,  46,  39, 123,  17, 133,  93, 110,  95, 135,  98, 100, 101,\n",
       "        53, 138,   4,   2,  86,  85,  88,  67,  31,  29,  75,  56,  48,\n",
       "         1, 108,   3, 113,  30,  41, 127,   8,  44, 131,  78,  92, 115,\n",
       "        90,  16,  37,  80,  47,  54,  81, 130, 141,   7, 102,  24,  33,\n",
       "        12,  49,  36, 109,  10,  25,  45,   6,   5,  66,  79,  15,  11,\n",
       "        21,   0, 129, 125,  38,  61,  65,  23, 104,  22,  35,  40])"
      ]
     },
     "execution_count": 651,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "consec = consecutive(diff_indices_le1)\n",
    "streak_len = np.zeros(len(consec))\n",
    "for i in range(len(consec)):\n",
    "    streak_len[i] = len(consec[i])\n",
    "np.argsort(streak_len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 653,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11.0"
      ]
     },
     "execution_count": 653,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "streak_len[40]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 654,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([259580, 261295, 259081, 260784, 256594, 257904, 260219, 258599,\n",
       "       256595, 261296, 259082])"
      ]
     },
     "execution_count": 654,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profile_numbers[consec[40]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 579,
   "metadata": {
    "scrolled": false
   },
   "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",
       "        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 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 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",
       "    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",
       "        // 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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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/km/anaconda2/envs/py35new/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:1623: MatplotlibDeprecationWarning: The get_axis_bgcolor function was deprecated in version 2.0. Use get_facecolor instead.\n",
      "  fill_color = ax.get_axis_bgcolor()\n",
      "/home/km/anaconda2/envs/py35new/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:3222: MatplotlibDeprecationWarning: The ishold function was deprecated in version 2.0.\n",
      "  b = ax.ishold()\n",
      "/home/km/anaconda2/envs/py35new/lib/python3.5/site-packages/mpl_toolkits/basemap/__init__.py:3231: MatplotlibDeprecationWarning: axes.hold is deprecated.\n",
      "    See the API Changes document (http://matplotlib.org/api/api_changes.html)\n",
      "    for more details.\n",
      "  ax.hold(b)\n"
     ]
    }
   ],
   "source": [
    "profs = profile_numbers[np.where(diff <= 1)[0]][0:10]\n",
    "mask = dfmg.loc[:, 'PROFILE_NUMBER'].isin(profs)\n",
    "positions = dfmg.loc[dfmg[mask].groupby('PROFILE_NUMBER').tail(1).index, 'LATITUDE':'LONGITUDE'].values\n",
    "markers = dfmg.loc[dfmg[mask].groupby('PROFILE_NUMBER').tail(1).index, 'PROFILE_NUMBER'].values\n",
    "pltStn.plot_station_locations(positions, title='Profile Locations', wd=7, ht=7, \n",
    "                              region='Weddell', markers=markers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 599,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_prof_details(dfmg, selected_profs):\n",
    "    mask_sel_profiles = dfmg.loc[:, 'PROFILE_NUMBER'].isin(selected_profs)\n",
    "    dfmg.loc[dfmg[mask_sel_profiles].groupby('PROFILE_NUMBER').head(1).index, \n",
    "                  'JULD':'PROFILE_NUMBER'].head(len(selected_profs))\n",
    "    #print(dfmg.loc[dfmg.loc[dfmg[mask_sel_profiles].groupby('PROFILE_NUMBER').head(1).index, \n",
    "    #              'JULD'].sort_values().index, 'PROFILE_NUMBER'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 659,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>JULD</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>PLATFORM_NUMBER</th>\n",
       "      <th>POSITION_QC</th>\n",
       "      <th>PRES_ADJUSTED</th>\n",
       "      <th>PRES_ADJUSTED_QC</th>\n",
       "      <th>PROFILE_NUMBER</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1823350</th>\n",
       "      <td>2011-03-08 07:14:00.009600000</td>\n",
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       "      <td>8.0</td>\n",
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       "      <td>-74.5575</td>\n",
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       "      <td>b'00021108'</td>\n",
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       "      <td>2011-03-08 07:32:00.009599999</td>\n",
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       "      <td>b'00021090'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
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       "      <td>b'00021120'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
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       "      <td>2011-03-08 06:49:59.980799999</td>\n",
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       "      <td>-42.3926</td>\n",
       "      <td>b'00021036'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
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       "      <th>1867948</th>\n",
       "      <td>2011-03-08 09:26:00.038400000</td>\n",
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       "      <td>-42.4463</td>\n",
       "      <td>b'00021036'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
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       "    </tr>\n",
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       "      <td>2011-03-08 06:24:00.028800000</td>\n",
       "      <td>-74.6159</td>\n",
       "      <td>-40.5952</td>\n",
       "      <td>b'00021126'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
       "      <td>259580</td>\n",
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       "    <tr>\n",
       "      <th>1890623</th>\n",
       "      <td>2011-03-08 07:48:00.000000000</td>\n",
       "      <td>-76.5626</td>\n",
       "      <td>-36.7673</td>\n",
       "      <td>b'00021030'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
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       "      <td>260219</td>\n",
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       "    <tr>\n",
       "      <th>1901903</th>\n",
       "      <td>2011-03-08 06:58:00.019200000</td>\n",
       "      <td>-73.9864</td>\n",
       "      <td>-39.7768</td>\n",
       "      <td>b'00021048'</td>\n",
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       "      <td>-77.3052</td>\n",
       "      <td>-45.0929</td>\n",
       "      <td>b'00021042'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
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       "      <td>2011-03-08 09:22:00.019200000</td>\n",
       "      <td>-77.3499</td>\n",
       "      <td>-45.2912</td>\n",
       "      <td>b'00021042'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
       "      <td>261296</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 JULD  LATITUDE  LONGITUDE PLATFORM_NUMBER  \\\n",
       "1823350 2011-03-08 07:14:00.009600000  -74.5541   -41.2675     b'00021108'   \n",
       "1823370 2011-03-08 09:18:00.000000000  -74.5575   -41.2089     b'00021108'   \n",
       "1849408 2011-03-08 07:32:00.009599999  -75.8949   -35.1986     b'00021090'   \n",
       "1858308 2011-03-08 08:42:00.000000000  -75.0435   -37.7150     b'00021120'   \n",
       "1867928 2011-03-08 06:49:59.980799999  -77.0254   -42.3926     b'00021036'   \n",
       "1867948 2011-03-08 09:26:00.038400000  -77.0185   -42.4463     b'00021036'   \n",
       "1877868 2011-03-08 06:24:00.028800000  -74.6159   -40.5952     b'00021126'   \n",
       "1890623 2011-03-08 07:48:00.000000000  -76.5626   -36.7673     b'00021030'   \n",
       "1901903 2011-03-08 06:58:00.019200000  -73.9864   -39.7768     b'00021048'   \n",
       "1911981 2011-03-08 06:45:59.961599999  -77.3052   -45.0929     b'00021042'   \n",
       "1912001 2011-03-08 09:22:00.019200000  -77.3499   -45.2912     b'00021042'   \n",
       "\n",
       "        POSITION_QC  PRES_ADJUSTED  PRES_ADJUSTED_QC  PROFILE_NUMBER  \n",
       "1823350        b'1'            8.0                 1          256594  \n",
       "1823370        b'1'            8.0                 1          256595  \n",
       "1849408        b'1'            8.0                 1          257904  \n",
       "1858308        b'1'            8.0                 1          258599  \n",
       "1867928        b'1'            8.0                 1          259081  \n",
       "1867948        b'1'            8.0                 1          259082  \n",
       "1877868        b'1'            8.0                 1          259580  \n",
       "1890623        b'1'            8.0                 1          260219  \n",
       "1901903        b'1'            8.0                 1          260784  \n",
       "1911981        b'1'            8.0                 1          261295  \n",
       "1912001        b'1'            8.0                 1          261296  "
      ]
     },
     "execution_count": 659,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# [256650, 256649, 256648, 256651, 263107, 263106]\n",
    "# [256586, 256587, 256588]\n",
    "# [256573, 256574]\n",
    "# [256580, 256581, 256582, 256583]\n",
    "# [259576, 259577, 259578]\n",
    "#[259550, 259575]\n",
    "#array([257898, 259575, 256589, 258595, 259075, 261291, 259076, 256590, 261292, 258596, 257899])\n",
    "\n",
    "selected_profiles1 = np.array([259580, 261295, 259081, 260784, 256594, 257904, 260219, 258599,\n",
    "       256595, 261296, 259082])\n",
    "mask_sel_profiles = dfmg.loc[:, 'PROFILE_NUMBER'].isin(selected_profiles1)\n",
    "dfmg.loc[dfmg[mask_sel_profiles].groupby('PROFILE_NUMBER').head(1).index, \n",
    "                  'JULD':'PROFILE_NUMBER'].head(len(selected_profiles1))\n",
    "#print_prof_details(dfmg, selected_profiles1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 543,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>JULD</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>PLATFORM_NUMBER</th>\n",
       "      <th>POSITION_QC</th>\n",
       "      <th>PRES_ADJUSTED</th>\n",
       "      <th>PRES_ADJUSTED_QC</th>\n",
       "      <th>PROFILE_NUMBER</th>\n",
       "      <th>PSAL_ADJUSTED</th>\n",
       "      <th>PSAL_ADJUSTED_QC</th>\n",
       "      <th>...</th>\n",
       "      <th>TEMP_ADJUSTED_QC</th>\n",
       "      <th>DEPTH</th>\n",
       "      <th>DENSITY_INSITU</th>\n",
       "      <th>POT_DENSITY</th>\n",
       "      <th>CTEMP</th>\n",
       "      <th>DENSITY_GRADIENT</th>\n",
       "      <th>ECHODEPTH</th>\n",
       "      <th>mab</th>\n",
       "      <th>deep_flag</th>\n",
       "      <th>DIST_GLINE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1823089</th>\n",
       "      <td>2011-03-04 21:08:00.038400</td>\n",
       "      <td>-74.7062</td>\n",
       "      <td>-41.5779</td>\n",
       "      <td>b'00021108'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>356.0</td>\n",
       "      <td>1</td>\n",
       "      <td>256580</td>\n",
       "      <td>34.619999</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-352.003863</td>\n",
       "      <td>1029.590919</td>\n",
       "      <td>27.880646</td>\n",
       "      <td>-1.829941</td>\n",
       "      <td>-0.000010</td>\n",
       "      <td>-356.0</td>\n",
       "      <td>3.996137</td>\n",
       "      <td>1.0</td>\n",
       "      <td>400.469293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1823109</th>\n",
       "      <td>2011-03-05 07:00:00.028800</td>\n",
       "      <td>-74.6979</td>\n",
       "      <td>-41.6017</td>\n",
       "      <td>b'00021108'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>358.0</td>\n",
       "      <td>1</td>\n",
       "      <td>256581</td>\n",
       "      <td>34.615799</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-353.979843</td>\n",
       "      <td>1029.596305</td>\n",
       "      <td>27.876678</td>\n",
       "      <td>-1.809962</td>\n",
       "      <td>0.000092</td>\n",
       "      <td>-355.0</td>\n",
       "      <td>1.020157</td>\n",
       "      <td>1.0</td>\n",
       "      <td>401.299429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1823129</th>\n",
       "      <td>2011-03-05 09:22:00.019200</td>\n",
       "      <td>-74.6967</td>\n",
       "      <td>-41.5936</td>\n",
       "      <td>b'00021108'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>330.0</td>\n",
       "      <td>1</td>\n",
       "      <td>256582</td>\n",
       "      <td>34.618000</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-326.316334</td>\n",
       "      <td>1029.463763</td>\n",
       "      <td>27.878165</td>\n",
       "      <td>-1.807471</td>\n",
       "      <td>-0.000611</td>\n",
       "      <td>-355.0</td>\n",
       "      <td>28.683666</td>\n",
       "      <td>1.0</td>\n",
       "      <td>401.460927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1823149</th>\n",
       "      <td>2011-03-05 13:05:59.971200</td>\n",
       "      <td>-74.6947</td>\n",
       "      <td>-41.5778</td>\n",
       "      <td>b'00021108'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>311.0</td>\n",
       "      <td>1</td>\n",
       "      <td>256583</td>\n",
       "      <td>34.606998</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-307.542558</td>\n",
       "      <td>1029.360251</td>\n",
       "      <td>27.866481</td>\n",
       "      <td>-1.718694</td>\n",
       "      <td>-0.001810</td>\n",
       "      <td>-356.0</td>\n",
       "      <td>48.457442</td>\n",
       "      <td>1.0</td>\n",
       "      <td>401.738612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              JULD  LATITUDE  LONGITUDE PLATFORM_NUMBER  \\\n",
       "1823089 2011-03-04 21:08:00.038400  -74.7062   -41.5779     b'00021108'   \n",
       "1823109 2011-03-05 07:00:00.028800  -74.6979   -41.6017     b'00021108'   \n",
       "1823129 2011-03-05 09:22:00.019200  -74.6967   -41.5936     b'00021108'   \n",
       "1823149 2011-03-05 13:05:59.971200  -74.6947   -41.5778     b'00021108'   \n",
       "\n",
       "        POSITION_QC  PRES_ADJUSTED  PRES_ADJUSTED_QC  PROFILE_NUMBER  \\\n",
       "1823089        b'1'          356.0                 1          256580   \n",
       "1823109        b'1'          358.0                 1          256581   \n",
       "1823129        b'1'          330.0                 1          256582   \n",
       "1823149        b'1'          311.0                 1          256583   \n",
       "\n",
       "         PSAL_ADJUSTED  PSAL_ADJUSTED_QC     ...      TEMP_ADJUSTED_QC  \\\n",
       "1823089      34.619999                 1     ...                     1   \n",
       "1823109      34.615799                 1     ...                     1   \n",
       "1823129      34.618000                 1     ...                     1   \n",
       "1823149      34.606998                 1     ...                     1   \n",
       "\n",
       "              DEPTH  DENSITY_INSITU  POT_DENSITY     CTEMP  DENSITY_GRADIENT  \\\n",
       "1823089 -352.003863     1029.590919    27.880646 -1.829941         -0.000010   \n",
       "1823109 -353.979843     1029.596305    27.876678 -1.809962          0.000092   \n",
       "1823129 -326.316334     1029.463763    27.878165 -1.807471         -0.000611   \n",
       "1823149 -307.542558     1029.360251    27.866481 -1.718694         -0.001810   \n",
       "\n",
       "         ECHODEPTH        mab  deep_flag  DIST_GLINE  \n",
       "1823089     -356.0   3.996137        1.0  400.469293  \n",
       "1823109     -355.0   1.020157        1.0  401.299429  \n",
       "1823129     -355.0  28.683666        1.0  401.460927  \n",
       "1823149     -356.0  48.457442        1.0  401.738612  \n",
       "\n",
       "[4 rows x 21 columns]"
      ]
     },
     "execution_count": 543,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfmg.loc[dfmg.loc[:, 'PROFILE_NUMBER'].isin(selected_profiles1)].groupby(\n",
    "'PROFILE_NUMBER').tail(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2011-03-21T07:27:59.990400000' '2011-03-21T09:42:00.028800000'\n",
      " '2011-03-21T13:02:00.038400000' '2011-03-21T17:14:00.038400000']\n",
      "[259643 259644 259645 259646]\n"
     ]
    }
   ],
   "source": [
    "selected_profiles2 = [259646, 259645, 259644, 259643]\n",
    "print_prof_details(dfmg, selected_profiles2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2011-03-21T06:22:00.019200000' '2011-03-21T11:03:59.990400000'\n",
      " '2011-03-21T14:14:00.038400000' '2011-03-21T21:24:00.028800000']\n",
      "[259140 259141 259142 259143]\n"
     ]
    }
   ],
   "source": [
    "selected_profiles3 = [259143, 259142, 259141, 259140]\n",
    "print_prof_details(dfmg, selected_profiles3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2011-03-21T08:19:59.980799999' '2011-03-21T12:49:59.980800000'\n",
      " '2011-03-21T16:14:00.009600000' '2011-03-21T20:14:00.038400000']\n",
      "[255871 255872 255873 255874]\n"
     ]
    }
   ],
   "source": [
    "selected_profiles4 = [255871, 255872, 255873, 255874]\n",
    "print_prof_details(dfmg, selected_profiles4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 485,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "U10 = xr.open_dataset(\"/media/data/Datasets/ESRL_U10/uwnd.10m.gauss.2011.nc\")\n",
    "V10 = xr.open_dataset(\"/media/data/Datasets/ESRL_U10/vwnd.10m.gauss.2011.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 486,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Frozen(OrderedDict([('lat', <xarray.Coordinate 'lat' (lat: 94)>\n",
       "array([ 88.54199982,  86.65309906,  84.75319672,  82.85079956,\n",
       "        80.94730377,  79.04350281,  77.13939667,  75.23509979,\n",
       "        73.33070374,  71.42620087,  69.521698  ,  67.61710358,\n",
       "        65.71250153,  63.80789948,  61.90330124,  59.99860001,\n",
       "        58.09389877,  56.18930054,  54.2845993 ,  52.37990189,\n",
       "        50.47520065,  48.57049942,  46.66579819,  44.76110077,\n",
       "        42.85639954,  40.9516983 ,  39.04700089,  37.14220047,\n",
       "        35.23749924,  33.33280182,  31.42810059,  29.52339935,\n",
       "        27.61860085,  25.71389961,  23.80920029,  21.90439987,\n",
       "        19.99970055,  18.09499931,  16.19020081,  14.28549957,\n",
       "        12.38080025,  10.47603989,   8.57131004,   6.66657019,\n",
       "         4.76183987,   2.85710001,   0.95236802,  -0.95236802,\n",
       "        -2.85710001,  -4.76183987,  -6.66657019,  -8.57131004,\n",
       "       -10.47603989, -12.38080025, -14.28549957, -16.19020081,\n",
       "       -18.09499931, -19.99970055, -21.90439987, -23.80920029,\n",
       "       -25.71389961, -27.61860085, -29.52339935, -31.42810059,\n",
       "       -33.33280182, -35.23749924, -37.14220047, -39.04700089,\n",
       "       -40.9516983 , -42.85639954, -44.76110077, -46.66579819,\n",
       "       -48.57049942, -50.47520065, -52.37990189, -54.2845993 ,\n",
       "       -56.18930054, -58.09389877, -59.99860001, -61.90330124,\n",
       "       -63.80789948, -65.71250153, -67.61710358, -69.521698  ,\n",
       "       -71.42620087, -73.33070374, -75.23509979, -77.13939667,\n",
       "       -79.04350281, -80.94730377, -82.85079956, -84.75319672,\n",
       "       -86.65309906, -88.54199982], dtype=float32)\n",
       "Attributes:\n",
       "    units: degrees_north\n",
       "    actual_range: [ 88.54199982 -88.54199982]\n",
       "    long_name: Latitude\n",
       "    standard_name: latitude\n",
       "    axis: Y), ('lon', <xarray.Coordinate 'lon' (lon: 192)>\n",
       "array([   0.   ,    1.875,    3.75 ,    5.625,    7.5  ,    9.375,\n",
       "         11.25 ,   13.125,   15.   ,   16.875,   18.75 ,   20.625,\n",
       "         22.5  ,   24.375,   26.25 ,   28.125,   30.   ,   31.875,\n",
       "         33.75 ,   35.625,   37.5  ,   39.375,   41.25 ,   43.125,\n",
       "         45.   ,   46.875,   48.75 ,   50.625,   52.5  ,   54.375,\n",
       "         56.25 ,   58.125,   60.   ,   61.875,   63.75 ,   65.625,\n",
       "         67.5  ,   69.375,   71.25 ,   73.125,   75.   ,   76.875,\n",
       "         78.75 ,   80.625,   82.5  ,   84.375,   86.25 ,   88.125,\n",
       "         90.   ,   91.875,   93.75 ,   95.625,   97.5  ,   99.375,\n",
       "        101.25 ,  103.125,  105.   ,  106.875,  108.75 ,  110.625,\n",
       "        112.5  ,  114.375,  116.25 ,  118.125,  120.   ,  121.875,\n",
       "        123.75 ,  125.625,  127.5  ,  129.375,  131.25 ,  133.125,\n",
       "        135.   ,  136.875,  138.75 ,  140.625,  142.5  ,  144.375,\n",
       "        146.25 ,  148.125,  150.   ,  151.875,  153.75 ,  155.625,\n",
       "        157.5  ,  159.375,  161.25 ,  163.125,  165.   ,  166.875,\n",
       "        168.75 ,  170.625,  172.5  ,  174.375,  176.25 ,  178.125,\n",
       "        180.   ,  181.875,  183.75 ,  185.625,  187.5  ,  189.375,\n",
       "        191.25 ,  193.125,  195.   ,  196.875,  198.75 ,  200.625,\n",
       "        202.5  ,  204.375,  206.25 ,  208.125,  210.   ,  211.875,\n",
       "        213.75 ,  215.625,  217.5  ,  219.375,  221.25 ,  223.125,\n",
       "        225.   ,  226.875,  228.75 ,  230.625,  232.5  ,  234.375,\n",
       "        236.25 ,  238.125,  240.   ,  241.875,  243.75 ,  245.625,\n",
       "        247.5  ,  249.375,  251.25 ,  253.125,  255.   ,  256.875,\n",
       "        258.75 ,  260.625,  262.5  ,  264.375,  266.25 ,  268.125,\n",
       "        270.   ,  271.875,  273.75 ,  275.625,  277.5  ,  279.375,\n",
       "        281.25 ,  283.125,  285.   ,  286.875,  288.75 ,  290.625,\n",
       "        292.5  ,  294.375,  296.25 ,  298.125,  300.   ,  301.875,\n",
       "        303.75 ,  305.625,  307.5  ,  309.375,  311.25 ,  313.125,\n",
       "        315.   ,  316.875,  318.75 ,  320.625,  322.5  ,  324.375,\n",
       "        326.25 ,  328.125,  330.   ,  331.875,  333.75 ,  335.625,\n",
       "        337.5  ,  339.375,  341.25 ,  343.125,  345.   ,  346.875,\n",
       "        348.75 ,  350.625,  352.5  ,  354.375,  356.25 ,  358.125], dtype=float32)\n",
       "Attributes:\n",
       "    units: degrees_east\n",
       "    long_name: Longitude\n",
       "    actual_range: [   0.     358.125]\n",
       "    standard_name: longitude\n",
       "    axis: X), ('time', <xarray.Coordinate 'time' (time: 365)>\n",
       "array(['2011-01-01T00:00:00.000000000', '2011-01-02T00:00:00.000000000',\n",
       "       '2011-01-03T00:00:00.000000000', '2011-01-04T00:00:00.000000000',\n",
       "       '2011-01-05T00:00:00.000000000', '2011-01-06T00:00:00.000000000',\n",
       "       '2011-01-07T00:00:00.000000000', '2011-01-08T00:00:00.000000000',\n",
       "       '2011-01-09T00:00:00.000000000', '2011-01-10T00:00:00.000000000',\n",
       "       '2011-01-11T00:00:00.000000000', '2011-01-12T00:00:00.000000000',\n",
       "       '2011-01-13T00:00:00.000000000', '2011-01-14T00:00:00.000000000',\n",
       "       '2011-01-15T00:00:00.000000000', '2011-01-16T00:00:00.000000000',\n",
       "       '2011-01-17T00:00:00.000000000', '2011-01-18T00:00:00.000000000',\n",
       "       '2011-01-19T00:00:00.000000000', '2011-01-20T00:00:00.000000000',\n",
       "       '2011-01-21T00:00:00.000000000', '2011-01-22T00:00:00.000000000',\n",
       "       '2011-01-23T00:00:00.000000000', '2011-01-24T00:00:00.000000000',\n",
       "       '2011-01-25T00:00:00.000000000', '2011-01-26T00:00:00.000000000',\n",
       "       '2011-01-27T00:00:00.000000000', '2011-01-28T00:00:00.000000000',\n",
       "       '2011-01-29T00:00:00.000000000', '2011-01-30T00:00:00.000000000',\n",
       "       '2011-01-31T00:00:00.000000000', '2011-02-01T00:00:00.000000000',\n",
       "       '2011-02-02T00:00:00.000000000', '2011-02-03T00:00:00.000000000',\n",
       "       '2011-02-04T00:00:00.000000000', '2011-02-05T00:00:00.000000000',\n",
       "       '2011-02-06T00:00:00.000000000', '2011-02-07T00:00:00.000000000',\n",
       "       '2011-02-08T00:00:00.000000000', '2011-02-09T00:00:00.000000000',\n",
       "       '2011-02-10T00:00:00.000000000', '2011-02-11T00:00:00.000000000',\n",
       "       '2011-02-12T00:00:00.000000000', '2011-02-13T00:00:00.000000000',\n",
       "       '2011-02-14T00:00:00.000000000', '2011-02-15T00:00:00.000000000',\n",
       "       '2011-02-16T00:00:00.000000000', '2011-02-17T00:00:00.000000000',\n",
       "       '2011-02-18T00:00:00.000000000', '2011-02-19T00:00:00.000000000',\n",
       "       '2011-02-20T00:00:00.000000000', '2011-02-21T00:00:00.000000000',\n",
       "       '2011-02-22T00:00:00.000000000', '2011-02-23T00:00:00.000000000',\n",
       "       '2011-02-24T00:00:00.000000000', '2011-02-25T00:00:00.000000000',\n",
       "       '2011-02-26T00:00:00.000000000', '2011-02-27T00:00:00.000000000',\n",
       "       '2011-02-28T00:00:00.000000000', '2011-03-01T00:00:00.000000000',\n",
       "       '2011-03-02T00:00:00.000000000', '2011-03-03T00:00:00.000000000',\n",
       "       '2011-03-04T00:00:00.000000000', '2011-03-05T00:00:00.000000000',\n",
       "       '2011-03-06T00:00:00.000000000', '2011-03-07T00:00:00.000000000',\n",
       "       '2011-03-08T00:00:00.000000000', '2011-03-09T00:00:00.000000000',\n",
       "       '2011-03-10T00:00:00.000000000', '2011-03-11T00:00:00.000000000',\n",
       "       '2011-03-12T00:00:00.000000000', '2011-03-13T00:00:00.000000000',\n",
       "       '2011-03-14T00:00:00.000000000', '2011-03-15T00:00:00.000000000',\n",
       "       '2011-03-16T00:00:00.000000000', '2011-03-17T00:00:00.000000000',\n",
       "       '2011-03-18T00:00:00.000000000', '2011-03-19T00:00:00.000000000',\n",
       "       '2011-03-20T00:00:00.000000000', '2011-03-21T00:00:00.000000000',\n",
       "       '2011-03-22T00:00:00.000000000', '2011-03-23T00:00:00.000000000',\n",
       "       '2011-03-24T00:00:00.000000000', '2011-03-25T00:00:00.000000000',\n",
       "       '2011-03-26T00:00:00.000000000', '2011-03-27T00:00:00.000000000',\n",
       "       '2011-03-28T00:00:00.000000000', '2011-03-29T00:00:00.000000000',\n",
       "       '2011-03-30T00:00:00.000000000', '2011-03-31T00:00:00.000000000',\n",
       "       '2011-04-01T00:00:00.000000000', '2011-04-02T00:00:00.000000000',\n",
       "       '2011-04-03T00:00:00.000000000', '2011-04-04T00:00:00.000000000',\n",
       "       '2011-04-05T00:00:00.000000000', '2011-04-06T00:00:00.000000000',\n",
       "       '2011-04-07T00:00:00.000000000', '2011-04-08T00:00:00.000000000',\n",
       "       '2011-04-09T00:00:00.000000000', '2011-04-10T00:00:00.000000000',\n",
       "       '2011-04-11T00:00:00.000000000', '2011-04-12T00:00:00.000000000',\n",
       "       '2011-04-13T00:00:00.000000000', '2011-04-14T00:00:00.000000000',\n",
       "       '2011-04-15T00:00:00.000000000', '2011-04-16T00:00:00.000000000',\n",
       "       '2011-04-17T00:00:00.000000000', '2011-04-18T00:00:00.000000000',\n",
       "       '2011-04-19T00:00:00.000000000', '2011-04-20T00:00:00.000000000',\n",
       "       '2011-04-21T00:00:00.000000000', '2011-04-22T00:00:00.000000000',\n",
       "       '2011-04-23T00:00:00.000000000', '2011-04-24T00:00:00.000000000',\n",
       "       '2011-04-25T00:00:00.000000000', '2011-04-26T00:00:00.000000000',\n",
       "       '2011-04-27T00:00:00.000000000', '2011-04-28T00:00:00.000000000',\n",
       "       '2011-04-29T00:00:00.000000000', '2011-04-30T00:00:00.000000000',\n",
       "       '2011-05-01T00:00:00.000000000', '2011-05-02T00:00:00.000000000',\n",
       "       '2011-05-03T00:00:00.000000000', '2011-05-04T00:00:00.000000000',\n",
       "       '2011-05-05T00:00:00.000000000', '2011-05-06T00:00:00.000000000',\n",
       "       '2011-05-07T00:00:00.000000000', '2011-05-08T00:00:00.000000000',\n",
       "       '2011-05-09T00:00:00.000000000', '2011-05-10T00:00:00.000000000',\n",
       "       '2011-05-11T00:00:00.000000000', '2011-05-12T00:00:00.000000000',\n",
       "       '2011-05-13T00:00:00.000000000', '2011-05-14T00:00:00.000000000',\n",
       "       '2011-05-15T00:00:00.000000000', '2011-05-16T00:00:00.000000000',\n",
       "       '2011-05-17T00:00:00.000000000', '2011-05-18T00:00:00.000000000',\n",
       "       '2011-05-19T00:00:00.000000000', '2011-05-20T00:00:00.000000000',\n",
       "       '2011-05-21T00:00:00.000000000', '2011-05-22T00:00:00.000000000',\n",
       "       '2011-05-23T00:00:00.000000000', '2011-05-24T00:00:00.000000000',\n",
       "       '2011-05-25T00:00:00.000000000', '2011-05-26T00:00:00.000000000',\n",
       "       '2011-05-27T00:00:00.000000000', '2011-05-28T00:00:00.000000000',\n",
       "       '2011-05-29T00:00:00.000000000', '2011-05-30T00:00:00.000000000',\n",
       "       '2011-05-31T00:00:00.000000000', '2011-06-01T00:00:00.000000000',\n",
       "       '2011-06-02T00:00:00.000000000', '2011-06-03T00:00:00.000000000',\n",
       "       '2011-06-04T00:00:00.000000000', '2011-06-05T00:00:00.000000000',\n",
       "       '2011-06-06T00:00:00.000000000', '2011-06-07T00:00:00.000000000',\n",
       "       '2011-06-08T00:00:00.000000000', '2011-06-09T00:00:00.000000000',\n",
       "       '2011-06-10T00:00:00.000000000', '2011-06-11T00:00:00.000000000',\n",
       "       '2011-06-12T00:00:00.000000000', '2011-06-13T00:00:00.000000000',\n",
       "       '2011-06-14T00:00:00.000000000', '2011-06-15T00:00:00.000000000',\n",
       "       '2011-06-16T00:00:00.000000000', '2011-06-17T00:00:00.000000000',\n",
       "       '2011-06-18T00:00:00.000000000', '2011-06-19T00:00:00.000000000',\n",
       "       '2011-06-20T00:00:00.000000000', '2011-06-21T00:00:00.000000000',\n",
       "       '2011-06-22T00:00:00.000000000', '2011-06-23T00:00:00.000000000',\n",
       "       '2011-06-24T00:00:00.000000000', '2011-06-25T00:00:00.000000000',\n",
       "       '2011-06-26T00:00:00.000000000', '2011-06-27T00:00:00.000000000',\n",
       "       '2011-06-28T00:00:00.000000000', '2011-06-29T00:00:00.000000000',\n",
       "       '2011-06-30T00:00:00.000000000', '2011-07-01T00:00:00.000000000',\n",
       "       '2011-07-02T00:00:00.000000000', '2011-07-03T00:00:00.000000000',\n",
       "       '2011-07-04T00:00:00.000000000', '2011-07-05T00:00:00.000000000',\n",
       "       '2011-07-06T00:00:00.000000000', '2011-07-07T00:00:00.000000000',\n",
       "       '2011-07-08T00:00:00.000000000', '2011-07-09T00:00:00.000000000',\n",
       "       '2011-07-10T00:00:00.000000000', '2011-07-11T00:00:00.000000000',\n",
       "       '2011-07-12T00:00:00.000000000', '2011-07-13T00:00:00.000000000',\n",
       "       '2011-07-14T00:00:00.000000000', '2011-07-15T00:00:00.000000000',\n",
       "       '2011-07-16T00:00:00.000000000', '2011-07-17T00:00:00.000000000',\n",
       "       '2011-07-18T00:00:00.000000000', '2011-07-19T00:00:00.000000000',\n",
       "       '2011-07-20T00:00:00.000000000', '2011-07-21T00:00:00.000000000',\n",
       "       '2011-07-22T00:00:00.000000000', '2011-07-23T00:00:00.000000000',\n",
       "       '2011-07-24T00:00:00.000000000', '2011-07-25T00:00:00.000000000',\n",
       "       '2011-07-26T00:00:00.000000000', '2011-07-27T00:00:00.000000000',\n",
       "       '2011-07-28T00:00:00.000000000', '2011-07-29T00:00:00.000000000',\n",
       "       '2011-07-30T00:00:00.000000000', '2011-07-31T00:00:00.000000000',\n",
       "       '2011-08-01T00:00:00.000000000', '2011-08-02T00:00:00.000000000',\n",
       "       '2011-08-03T00:00:00.000000000', '2011-08-04T00:00:00.000000000',\n",
       "       '2011-08-05T00:00:00.000000000', '2011-08-06T00:00:00.000000000',\n",
       "       '2011-08-07T00:00:00.000000000', '2011-08-08T00:00:00.000000000',\n",
       "       '2011-08-09T00:00:00.000000000', '2011-08-10T00:00:00.000000000',\n",
       "       '2011-08-11T00:00:00.000000000', '2011-08-12T00:00:00.000000000',\n",
       "       '2011-08-13T00:00:00.000000000', '2011-08-14T00:00:00.000000000',\n",
       "       '2011-08-15T00:00:00.000000000', '2011-08-16T00:00:00.000000000',\n",
       "       '2011-08-17T00:00:00.000000000', '2011-08-18T00:00:00.000000000',\n",
       "       '2011-08-19T00:00:00.000000000', '2011-08-20T00:00:00.000000000',\n",
       "       '2011-08-21T00:00:00.000000000', '2011-08-22T00:00:00.000000000',\n",
       "       '2011-08-23T00:00:00.000000000', '2011-08-24T00:00:00.000000000',\n",
       "       '2011-08-25T00:00:00.000000000', '2011-08-26T00:00:00.000000000',\n",
       "       '2011-08-27T00:00:00.000000000', '2011-08-28T00:00:00.000000000',\n",
       "       '2011-08-29T00:00:00.000000000', '2011-08-30T00:00:00.000000000',\n",
       "       '2011-08-31T00:00:00.000000000', '2011-09-01T00:00:00.000000000',\n",
       "       '2011-09-02T00:00:00.000000000', '2011-09-03T00:00:00.000000000',\n",
       "       '2011-09-04T00:00:00.000000000', '2011-09-05T00:00:00.000000000',\n",
       "       '2011-09-06T00:00:00.000000000', '2011-09-07T00:00:00.000000000',\n",
       "       '2011-09-08T00:00:00.000000000', '2011-09-09T00:00:00.000000000',\n",
       "       '2011-09-10T00:00:00.000000000', '2011-09-11T00:00:00.000000000',\n",
       "       '2011-09-12T00:00:00.000000000', '2011-09-13T00:00:00.000000000',\n",
       "       '2011-09-14T00:00:00.000000000', '2011-09-15T00:00:00.000000000',\n",
       "       '2011-09-16T00:00:00.000000000', '2011-09-17T00:00:00.000000000',\n",
       "       '2011-09-18T00:00:00.000000000', '2011-09-19T00:00:00.000000000',\n",
       "       '2011-09-20T00:00:00.000000000', '2011-09-21T00:00:00.000000000',\n",
       "       '2011-09-22T00:00:00.000000000', '2011-09-23T00:00:00.000000000',\n",
       "       '2011-09-24T00:00:00.000000000', '2011-09-25T00:00:00.000000000',\n",
       "       '2011-09-26T00:00:00.000000000', '2011-09-27T00:00:00.000000000',\n",
       "       '2011-09-28T00:00:00.000000000', '2011-09-29T00:00:00.000000000',\n",
       "       '2011-09-30T00:00:00.000000000', '2011-10-01T00:00:00.000000000',\n",
       "       '2011-10-02T00:00:00.000000000', '2011-10-03T00:00:00.000000000',\n",
       "       '2011-10-04T00:00:00.000000000', '2011-10-05T00:00:00.000000000',\n",
       "       '2011-10-06T00:00:00.000000000', '2011-10-07T00:00:00.000000000',\n",
       "       '2011-10-08T00:00:00.000000000', '2011-10-09T00:00:00.000000000',\n",
       "       '2011-10-10T00:00:00.000000000', '2011-10-11T00:00:00.000000000',\n",
       "       '2011-10-12T00:00:00.000000000', '2011-10-13T00:00:00.000000000',\n",
       "       '2011-10-14T00:00:00.000000000', '2011-10-15T00:00:00.000000000',\n",
       "       '2011-10-16T00:00:00.000000000', '2011-10-17T00:00:00.000000000',\n",
       "       '2011-10-18T00:00:00.000000000', '2011-10-19T00:00:00.000000000',\n",
       "       '2011-10-20T00:00:00.000000000', '2011-10-21T00:00:00.000000000',\n",
       "       '2011-10-22T00:00:00.000000000', '2011-10-23T00:00:00.000000000',\n",
       "       '2011-10-24T00:00:00.000000000', '2011-10-25T00:00:00.000000000',\n",
       "       '2011-10-26T00:00:00.000000000', '2011-10-27T00:00:00.000000000',\n",
       "       '2011-10-28T00:00:00.000000000', '2011-10-29T00:00:00.000000000',\n",
       "       '2011-10-30T00:00:00.000000000', '2011-10-31T00:00:00.000000000',\n",
       "       '2011-11-01T00:00:00.000000000', '2011-11-02T00:00:00.000000000',\n",
       "       '2011-11-03T00:00:00.000000000', '2011-11-04T00:00:00.000000000',\n",
       "       '2011-11-05T00:00:00.000000000', '2011-11-06T00:00:00.000000000',\n",
       "       '2011-11-07T00:00:00.000000000', '2011-11-08T00:00:00.000000000',\n",
       "       '2011-11-09T00:00:00.000000000', '2011-11-10T00:00:00.000000000',\n",
       "       '2011-11-11T00:00:00.000000000', '2011-11-12T00:00:00.000000000',\n",
       "       '2011-11-13T00:00:00.000000000', '2011-11-14T00:00:00.000000000',\n",
       "       '2011-11-15T00:00:00.000000000', '2011-11-16T00:00:00.000000000',\n",
       "       '2011-11-17T00:00:00.000000000', '2011-11-18T00:00:00.000000000',\n",
       "       '2011-11-19T00:00:00.000000000', '2011-11-20T00:00:00.000000000',\n",
       "       '2011-11-21T00:00:00.000000000', '2011-11-22T00:00:00.000000000',\n",
       "       '2011-11-23T00:00:00.000000000', '2011-11-24T00:00:00.000000000',\n",
       "       '2011-11-25T00:00:00.000000000', '2011-11-26T00:00:00.000000000',\n",
       "       '2011-11-27T00:00:00.000000000', '2011-11-28T00:00:00.000000000',\n",
       "       '2011-11-29T00:00:00.000000000', '2011-11-30T00:00:00.000000000',\n",
       "       '2011-12-01T00:00:00.000000000', '2011-12-02T00:00:00.000000000',\n",
       "       '2011-12-03T00:00:00.000000000', '2011-12-04T00:00:00.000000000',\n",
       "       '2011-12-05T00:00:00.000000000', '2011-12-06T00:00:00.000000000',\n",
       "       '2011-12-07T00:00:00.000000000', '2011-12-08T00:00:00.000000000',\n",
       "       '2011-12-09T00:00:00.000000000', '2011-12-10T00:00:00.000000000',\n",
       "       '2011-12-11T00:00:00.000000000', '2011-12-12T00:00:00.000000000',\n",
       "       '2011-12-13T00:00:00.000000000', '2011-12-14T00:00:00.000000000',\n",
       "       '2011-12-15T00:00:00.000000000', '2011-12-16T00:00:00.000000000',\n",
       "       '2011-12-17T00:00:00.000000000', '2011-12-18T00:00:00.000000000',\n",
       "       '2011-12-19T00:00:00.000000000', '2011-12-20T00:00:00.000000000',\n",
       "       '2011-12-21T00:00:00.000000000', '2011-12-22T00:00:00.000000000',\n",
       "       '2011-12-23T00:00:00.000000000', '2011-12-24T00:00:00.000000000',\n",
       "       '2011-12-25T00:00:00.000000000', '2011-12-26T00:00:00.000000000',\n",
       "       '2011-12-27T00:00:00.000000000', '2011-12-28T00:00:00.000000000',\n",
       "       '2011-12-29T00:00:00.000000000', '2011-12-30T00:00:00.000000000',\n",
       "       '2011-12-31T00:00:00.000000000'], dtype='datetime64[ns]')\n",
       "Attributes:\n",
       "    long_name: Time\n",
       "    delta_t: 0000-00-01 00:00:00\n",
       "    avg_period: 0000-00-01 00:00:00\n",
       "    standard_name: time\n",
       "    axis: T\n",
       "    actual_range: [ 1849584.  1858320.]), ('vwnd', <xarray.Variable (time: 365, lat: 94, lon: 192)>\n",
       "[6587520 values with dtype=float64]\n",
       "Attributes:\n",
       "    long_name: mean Daily v-wind at 10 m\n",
       "    units: m/s\n",
       "    precision: 2\n",
       "    GRIB_id: 34\n",
       "    GRIB_name: V GRD\n",
       "    var_desc: v-wind\n",
       "    dataset: NCEP Reanalysis Daily Averages\n",
       "    level_desc: 10 m\n",
       "    statistic: Mean\n",
       "    parent_stat: Individual Obs\n",
       "    actual_range: [-25.92999268  24.41999817]\n",
       "    valid_range: [-102.19999695  102.19999695])]))"
      ]
     },
     "execution_count": 486,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "V10.variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.1699981689453125"
      ]
     },
     "execution_count": 395,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.array(U10['uwnd'][79, 86, 77].values)\n",
    "np.asscalar(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "86"
      ]
     },
     "execution_count": 402,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.asscalar(np.argmin(np.abs(U10['lat'] - lat)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_U10_value(U10, lat, lon, time):\n",
    "    latind = np.asscalar(np.argmin(np.abs(U10['lat'] - lat)))\n",
    "    lonind = np.asscalar(np.argmin(np.abs(U10['lon'] - (lon+180))))\n",
    "    timeind = np.where(U10['time'].values.astype('<M8[D]') == time)[0][0]\n",
    "\n",
    "    return np.asscalar(U10['uwnd'][timeind][latind][lonind])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 608,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "65 86 74\n",
      "0.0 2.9499969482421875\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 611,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-74.5773 138.4208\n"
     ]
    }
   ],
   "source": [
    "print(lat, lon+180)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 609,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 'uwnd' ()>\n",
       "array(0.0)\n",
       "Coordinates:\n",
       "    lat      float32 -75.2351\n",
       "    lon      float32 138.75\n",
       "    time     datetime64[ns] 2011-03-07\n",
       "Attributes:\n",
       "    long_name: mean Daily u-wind at 10 m\n",
       "    units: m/s\n",
       "    precision: 2\n",
       "    GRIB_id: 33\n",
       "    GRIB_name: U GRD\n",
       "    var_desc: u-wind\n",
       "    dataset: NCEP Reanalysis Daily Averages\n",
       "    level_desc: 10 m\n",
       "    statistic: Mean\n",
       "    parent_stat: Individual Obs\n",
       "    actual_range: [-24.69999695  25.6499939 ]\n",
       "    valid_range: [-102.19999695  102.19999695]"
      ]
     },
     "execution_count": 609,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "U10['uwnd'][65][86][74]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 548,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.4499969482421875 4.1199951171875\n"
     ]
    }
   ],
   "source": [
    "print(u10, v10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 408,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.1699981689453125"
      ]
     },
     "execution_count": 408,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_U10_value(U10, lat, lon, time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 'time' ()>\n",
       "array(0)"
      ]
     },
     "execution_count": 354,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.argmin(U10['time'] - time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>JULD</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>PLATFORM_NUMBER</th>\n",
       "      <th>POSITION_QC</th>\n",
       "      <th>PRES_ADJUSTED</th>\n",
       "      <th>PRES_ADJUSTED_QC</th>\n",
       "      <th>PROFILE_NUMBER</th>\n",
       "      <th>PSAL_ADJUSTED</th>\n",
       "      <th>PSAL_ADJUSTED_QC</th>\n",
       "      <th>...</th>\n",
       "      <th>TEMP_ADJUSTED_QC</th>\n",
       "      <th>DEPTH</th>\n",
       "      <th>DENSITY_INSITU</th>\n",
       "      <th>POT_DENSITY</th>\n",
       "      <th>CTEMP</th>\n",
       "      <th>DENSITY_GRADIENT</th>\n",
       "      <th>ECHODEPTH</th>\n",
       "      <th>mab</th>\n",
       "      <th>deep_flag</th>\n",
       "      <th>DIST_GLINE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.939708</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>4.939708</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-7.919572</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>6.919572</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-13.859049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>12.859049</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-17.818605</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>16.818605</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-21.778083</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>20.778083</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-27.717157</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>26.717157</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-29.696809</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>28.696809</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>32.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-31.676443</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>30.676443</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-37.615228</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>36.615228</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-49.492280</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>48.492280</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>72.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-71.265081</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>70.265081</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2007-03-03 03:24:00.028799999</td>\n",
       "      <td>-68.5139</td>\n",
       "      <td>78.3736</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>118.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-116.782527</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>115.782527</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.188420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.939709</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.939709</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-7.919573</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.919573</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-13.859051</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.859051</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-19.798356</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>20.798356</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-21.778085</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>22.778085</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-25.737487</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>26.737487</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>28.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-27.717160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.717160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>32.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-31.676446</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>32.676446</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-33.656061</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.656061</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-39.594789</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40.594789</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-43.553845</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>44.553845</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2007-03-03 03:42:59.990400000</td>\n",
       "      <td>-68.5122</td>\n",
       "      <td>78.3797</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>78.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-77.202723</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>78.202723</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.876239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2007-03-03 06:00:59.961599999</td>\n",
       "      <td>-68.4999</td>\n",
       "      <td>78.4232</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.939713</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>2.939713</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.637582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2007-03-03 06:00:59.961599999</td>\n",
       "      <td>-68.4999</td>\n",
       "      <td>78.4232</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-9.899426</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>6.899426</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.637582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2007-03-03 06:00:59.961599999</td>\n",
       "      <td>-68.4999</td>\n",
       "      <td>78.4232</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-11.879253</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>8.879253</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.637582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2007-03-03 06:00:59.961599999</td>\n",
       "      <td>-68.4999</td>\n",
       "      <td>78.4232</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-15.838850</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>12.838850</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.637582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2007-03-03 06:00:59.961599999</td>\n",
       "      <td>-68.4999</td>\n",
       "      <td>78.4232</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-17.818620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>14.818620</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.637582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2007-03-03 06:00:59.961599999</td>\n",
       "      <td>-68.4999</td>\n",
       "      <td>78.4232</td>\n",
       "      <td>b'00012048'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-19.798371</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>16.798371</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.637582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884441</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>175.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-173.271288</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2863.728712</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884442</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>190.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-188.116284</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2848.883716</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884443</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-198.012349</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2838.987651</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884444</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>225.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-222.750423</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2814.249577</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884445</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>250.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-247.485510</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2789.514490</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884446</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>275.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-272.217614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2764.782386</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884447</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-296.946737</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2740.053263</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884448</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>310.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-306.837552</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2730.162448</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884449</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>334.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-330.573564</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2706.426436</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884450</th>\n",
       "      <td>2005-09-27 23:19:59.980800000</td>\n",
       "      <td>-60.3957</td>\n",
       "      <td>-44.0502</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>346.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342301</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-342.440541</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-3037.0</td>\n",
       "      <td>2694.559459</td>\n",
       "      <td>0.0</td>\n",
       "      <td>749.542034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884451</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-5.943244</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5344.056756</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884452</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-19.810142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5330.189858</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884453</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-49.521749</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5300.478251</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884454</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-99.031490</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5250.968510</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884455</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-110.912043</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5239.087957</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884456</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-148.529241</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5201.470759</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884457</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
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       "      <td>175.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-173.273627</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5176.726373</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884458</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-198.015022</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5151.984978</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884459</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>216.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-213.847947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5136.152053</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884460</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>230.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-227.700752</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5122.299248</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884461</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>236.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-233.637382</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5116.362618</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884462</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>242.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-239.573841</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5110.426159</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884463</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>250.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-247.488851</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5102.511149</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884464</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-296.950745</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5053.049255</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884465</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>350.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-346.400724</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>5003.599276</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884466</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>400.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-395.838806</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>4954.161194</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884467</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>428.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-423.518942</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>4926.481058</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884468</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>450.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-445.265009</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>4904.734991</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884469</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
       "      <td>b'1'</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1</td>\n",
       "      <td>342302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>-494.679352</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>4855.320648</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2884470</th>\n",
       "      <td>2005-09-28 10:20:00.038400000</td>\n",
       "      <td>-60.2259</td>\n",
       "      <td>-43.5283</td>\n",
       "      <td>b'00008556'</td>\n",
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       "      <td>9</td>\n",
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       "      <td>1</td>\n",
       "      <td>-506.537031</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-5350.0</td>\n",
       "      <td>4843.462969</td>\n",
       "      <td>0.0</td>\n",
       "      <td>783.931261</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2884471 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 JULD  LATITUDE  LONGITUDE PLATFORM_NUMBER  \\\n",
       "0       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "1       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "2       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "3       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "4       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "5       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "6       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "7       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "8       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "9       2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "10      2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "11      2007-03-03 03:24:00.028799999  -68.5139    78.3736     b'00012048'   \n",
       "12      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "13      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "14      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "15      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "16      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "17      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "18      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "19      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "20      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "21      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "22      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "23      2007-03-03 03:42:59.990400000  -68.5122    78.3797     b'00012048'   \n",
       "24      2007-03-03 06:00:59.961599999  -68.4999    78.4232     b'00012048'   \n",
       "25      2007-03-03 06:00:59.961599999  -68.4999    78.4232     b'00012048'   \n",
       "26      2007-03-03 06:00:59.961599999  -68.4999    78.4232     b'00012048'   \n",
       "27      2007-03-03 06:00:59.961599999  -68.4999    78.4232     b'00012048'   \n",
       "28      2007-03-03 06:00:59.961599999  -68.4999    78.4232     b'00012048'   \n",
       "29      2007-03-03 06:00:59.961599999  -68.4999    78.4232     b'00012048'   \n",
       "...                               ...       ...        ...             ...   \n",
       "2884441 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884442 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884443 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884444 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884445 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884446 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884447 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884448 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884449 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884450 2005-09-27 23:19:59.980800000  -60.3957   -44.0502     b'00008556'   \n",
       "2884451 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884452 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884453 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884454 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884455 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884456 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884457 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884458 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884459 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884460 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884461 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884462 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884463 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884464 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884465 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884466 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884467 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884468 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884469 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "2884470 2005-09-28 10:20:00.038400000  -60.2259   -43.5283     b'00008556'   \n",
       "\n",
       "        POSITION_QC  PRES_ADJUSTED  PRES_ADJUSTED_QC  PROFILE_NUMBER  \\\n",
       "0              b'1'            6.0                 1               0   \n",
       "1              b'1'            8.0                 1               0   \n",
       "2              b'1'           14.0                 1               0   \n",
       "3              b'1'           18.0                 1               0   \n",
       "4              b'1'           22.0                 1               0   \n",
       "5              b'1'           28.0                 1               0   \n",
       "6              b'1'           30.0                 1               0   \n",
       "7              b'1'           32.0                 1               0   \n",
       "8              b'1'           38.0                 1               0   \n",
       "9              b'1'           50.0                 1               0   \n",
       "10             b'1'           72.0                 1               0   \n",
       "11             b'1'          118.0                 1               0   \n",
       "12             b'1'            6.0                 1               1   \n",
       "13             b'1'            8.0                 1               1   \n",
       "14             b'1'           14.0                 1               1   \n",
       "15             b'1'           20.0                 1               1   \n",
       "16             b'1'           22.0                 1               1   \n",
       "17             b'1'           26.0                 1               1   \n",
       "18             b'1'           28.0                 1               1   \n",
       "19             b'1'           32.0                 1               1   \n",
       "20             b'1'           34.0                 1               1   \n",
       "21             b'1'           40.0                 1               1   \n",
       "22             b'1'           44.0                 1               1   \n",
       "23             b'1'           78.0                 1               1   \n",
       "24             b'1'            6.0                 1               2   \n",
       "25             b'1'           10.0                 1               2   \n",
       "26             b'1'           12.0                 1               2   \n",
       "27             b'1'           16.0                 1               2   \n",
       "28             b'1'           18.0                 1               2   \n",
       "29             b'1'           20.0                 1               2   \n",
       "...             ...            ...               ...             ...   \n",
       "2884441        b'1'          175.0                 1          342301   \n",
       "2884442        b'1'          190.0                 1          342301   \n",
       "2884443        b'1'          200.0                 1          342301   \n",
       "2884444        b'1'          225.0                 1          342301   \n",
       "2884445        b'1'          250.0                 1          342301   \n",
       "2884446        b'1'          275.0                 1          342301   \n",
       "2884447        b'1'          300.0                 1          342301   \n",
       "2884448        b'1'          310.0                 1          342301   \n",
       "2884449        b'1'          334.0                 1          342301   \n",
       "2884450        b'1'          346.0                 1          342301   \n",
       "2884451        b'1'            6.0                 1          342302   \n",
       "2884452        b'1'           20.0                 1          342302   \n",
       "2884453        b'1'           50.0                 1          342302   \n",
       "2884454        b'1'          100.0                 1          342302   \n",
       "2884455        b'1'          112.0                 1          342302   \n",
       "2884456        b'1'          150.0                 1          342302   \n",
       "2884457        b'1'          175.0                 1          342302   \n",
       "2884458        b'1'          200.0                 1          342302   \n",
       "2884459        b'1'          216.0                 1          342302   \n",
       "2884460        b'1'          230.0                 1          342302   \n",
       "2884461        b'1'          236.0                 1          342302   \n",
       "2884462        b'1'          242.0                 1          342302   \n",
       "2884463        b'1'          250.0                 1          342302   \n",
       "2884464        b'1'          300.0                 1          342302   \n",
       "2884465        b'1'          350.0                 1          342302   \n",
       "2884466        b'1'          400.0                 1          342302   \n",
       "2884467        b'1'          428.0                 1          342302   \n",
       "2884468        b'1'          450.0                 1          342302   \n",
       "2884469        b'1'          500.0                 1          342302   \n",
       "2884470        b'1'          512.0                 1          342302   \n",
       "\n",
       "         PSAL_ADJUSTED  PSAL_ADJUSTED_QC     ...      TEMP_ADJUSTED_QC  \\\n",
       "0                  NaN                 9     ...                     1   \n",
       "1                  NaN                 9     ...                     1   \n",
       "2                  NaN                 9     ...                     1   \n",
       "3                  NaN                 9     ...                     1   \n",
       "4                  NaN                 9     ...                     1   \n",
       "5                  NaN                 9     ...                     1   \n",
       "6                  NaN                 9     ...                     1   \n",
       "7                  NaN                 9     ...                     1   \n",
       "8                  NaN                 9     ...                     1   \n",
       "9                  NaN                 9     ...                     1   \n",
       "10                 NaN                 9     ...                     1   \n",
       "11                 NaN                 9     ...                     1   \n",
       "12                 NaN                 9     ...                     1   \n",
       "13                 NaN                 9     ...                     1   \n",
       "14                 NaN                 9     ...                     1   \n",
       "15                 NaN                 9     ...                     1   \n",
       "16                 NaN                 9     ...                     1   \n",
       "17                 NaN                 9     ...                     1   \n",
       "18                 NaN                 9     ...                     1   \n",
       "19                 NaN                 9     ...                     1   \n",
       "20                 NaN                 9     ...                     1   \n",
       "21                 NaN                 9     ...                     1   \n",
       "22                 NaN                 9     ...                     1   \n",
       "23                 NaN                 9     ...                     1   \n",
       "24                 NaN                 9     ...                     1   \n",
       "25                 NaN                 9     ...                     1   \n",
       "26                 NaN                 9     ...                     1   \n",
       "27                 NaN                 9     ...                     1   \n",
       "28                 NaN                 9     ...                     1   \n",
       "29                 NaN                 9     ...                     1   \n",
       "...                ...               ...     ...                   ...   \n",
       "2884441            NaN                 9     ...                     1   \n",
       "2884442            NaN                 9     ...                     1   \n",
       "2884443            NaN                 9     ...                     1   \n",
       "2884444            NaN                 9     ...                     1   \n",
       "2884445            NaN                 9     ...                     1   \n",
       "2884446            NaN                 9     ...                     1   \n",
       "2884447            NaN                 9     ...                     1   \n",
       "2884448            NaN                 9     ...                     1   \n",
       "2884449            NaN                 9     ...                     1   \n",
       "2884450            NaN                 9     ...                     1   \n",
       "2884451            NaN                 9     ...                     1   \n",
       "2884452            NaN                 9     ...                     1   \n",
       "2884453            NaN                 9     ...                     1   \n",
       "2884454            NaN                 9     ...                     1   \n",
       "2884455            NaN                 9     ...                     1   \n",
       "2884456            NaN                 9     ...                     1   \n",
       "2884457            NaN                 9     ...                     1   \n",
       "2884458            NaN                 9     ...                     1   \n",
       "2884459            NaN                 9     ...                     1   \n",
       "2884460            NaN                 9     ...                     1   \n",
       "2884461            NaN                 9     ...                     1   \n",
       "2884462            NaN                 9     ...                     1   \n",
       "2884463            NaN                 9     ...                     1   \n",
       "2884464            NaN                 9     ...                     1   \n",
       "2884465            NaN                 9     ...                     1   \n",
       "2884466            NaN                 9     ...                     1   \n",
       "2884467            NaN                 9     ...                     1   \n",
       "2884468            NaN                 9     ...                     1   \n",
       "2884469            NaN                 9     ...                     1   \n",
       "2884470            NaN                 9     ...                     1   \n",
       "\n",
       "              DEPTH  DENSITY_INSITU  POT_DENSITY  CTEMP  DENSITY_GRADIENT  \\\n",
       "0         -5.939708             NaN          NaN    NaN               NaN   \n",
       "1         -7.919572             NaN          NaN    NaN               NaN   \n",
       "2        -13.859049             NaN          NaN    NaN               NaN   \n",
       "3        -17.818605             NaN          NaN    NaN               NaN   \n",
       "4        -21.778083             NaN          NaN    NaN               NaN   \n",
       "5        -27.717157             NaN          NaN    NaN               NaN   \n",
       "6        -29.696809             NaN          NaN    NaN               NaN   \n",
       "7        -31.676443             NaN          NaN    NaN               NaN   \n",
       "8        -37.615228             NaN          NaN    NaN               NaN   \n",
       "9        -49.492280             NaN          NaN    NaN               NaN   \n",
       "10       -71.265081             NaN          NaN    NaN               NaN   \n",
       "11      -116.782527             NaN          NaN    NaN               NaN   \n",
       "12        -5.939709             NaN          NaN    NaN               NaN   \n",
       "13        -7.919573             NaN          NaN    NaN               NaN   \n",
       "14       -13.859051             NaN          NaN    NaN               NaN   \n",
       "15       -19.798356             NaN          NaN    NaN               NaN   \n",
       "16       -21.778085             NaN          NaN    NaN               NaN   \n",
       "17       -25.737487             NaN          NaN    NaN               NaN   \n",
       "18       -27.717160             NaN          NaN    NaN               NaN   \n",
       "19       -31.676446             NaN          NaN    NaN               NaN   \n",
       "20       -33.656061             NaN          NaN    NaN               NaN   \n",
       "21       -39.594789             NaN          NaN    NaN               NaN   \n",
       "22       -43.553845             NaN          NaN    NaN               NaN   \n",
       "23       -77.202723             NaN          NaN    NaN               NaN   \n",
       "24        -5.939713             NaN          NaN    NaN               NaN   \n",
       "25        -9.899426             NaN          NaN    NaN               NaN   \n",
       "26       -11.879253             NaN          NaN    NaN               NaN   \n",
       "27       -15.838850             NaN          NaN    NaN               NaN   \n",
       "28       -17.818620             NaN          NaN    NaN               NaN   \n",
       "29       -19.798371             NaN          NaN    NaN               NaN   \n",
       "...             ...             ...          ...    ...               ...   \n",
       "2884441 -173.271288             NaN          NaN    NaN               NaN   \n",
       "2884442 -188.116284             NaN          NaN    NaN               NaN   \n",
       "2884443 -198.012349             NaN          NaN    NaN               NaN   \n",
       "2884444 -222.750423             NaN          NaN    NaN               NaN   \n",
       "2884445 -247.485510             NaN          NaN    NaN               NaN   \n",
       "2884446 -272.217614             NaN          NaN    NaN               NaN   \n",
       "2884447 -296.946737             NaN          NaN    NaN               NaN   \n",
       "2884448 -306.837552             NaN          NaN    NaN               NaN   \n",
       "2884449 -330.573564             NaN          NaN    NaN               NaN   \n",
       "2884450 -342.440541             NaN          NaN    NaN               NaN   \n",
       "2884451   -5.943244             NaN          NaN    NaN               NaN   \n",
       "2884452  -19.810142             NaN          NaN    NaN               NaN   \n",
       "2884453  -49.521749             NaN          NaN    NaN               NaN   \n",
       "2884454  -99.031490             NaN          NaN    NaN               NaN   \n",
       "2884455 -110.912043             NaN          NaN    NaN               NaN   \n",
       "2884456 -148.529241             NaN          NaN    NaN               NaN   \n",
       "2884457 -173.273627             NaN          NaN    NaN               NaN   \n",
       "2884458 -198.015022             NaN          NaN    NaN               NaN   \n",
       "2884459 -213.847947             NaN          NaN    NaN               NaN   \n",
       "2884460 -227.700752             NaN          NaN    NaN               NaN   \n",
       "2884461 -233.637382             NaN          NaN    NaN               NaN   \n",
       "2884462 -239.573841             NaN          NaN    NaN               NaN   \n",
       "2884463 -247.488851             NaN          NaN    NaN               NaN   \n",
       "2884464 -296.950745             NaN          NaN    NaN               NaN   \n",
       "2884465 -346.400724             NaN          NaN    NaN               NaN   \n",
       "2884466 -395.838806             NaN          NaN    NaN               NaN   \n",
       "2884467 -423.518942             NaN          NaN    NaN               NaN   \n",
       "2884468 -445.265009             NaN          NaN    NaN               NaN   \n",
       "2884469 -494.679352             NaN          NaN    NaN               NaN   \n",
       "2884470 -506.537031             NaN          NaN    NaN               NaN   \n",
       "\n",
       "         ECHODEPTH          mab  deep_flag  DIST_GLINE  \n",
       "0             -1.0     4.939708        0.0    4.188420  \n",
       "1             -1.0     6.919572        0.0    4.188420  \n",
       "2             -1.0    12.859049        0.0    4.188420  \n",
       "3             -1.0    16.818605        0.0    4.188420  \n",
       "4             -1.0    20.778083        0.0    4.188420  \n",
       "5             -1.0    26.717157        0.0    4.188420  \n",
       "6             -1.0    28.696809        0.0    4.188420  \n",
       "7             -1.0    30.676443        0.0    4.188420  \n",
       "8             -1.0    36.615228        0.0    4.188420  \n",
       "9             -1.0    48.492280        0.0    4.188420  \n",
       "10            -1.0    70.265081        0.0    4.188420  \n",
       "11            -1.0   115.782527        0.0    4.188420  \n",
       "12             1.0     6.939709        0.0    3.876239  \n",
       "13             1.0     8.919573        0.0    3.876239  \n",
       "14             1.0    14.859051        0.0    3.876239  \n",
       "15             1.0    20.798356        0.0    3.876239  \n",
       "16             1.0    22.778085        0.0    3.876239  \n",
       "17             1.0    26.737487        0.0    3.876239  \n",
       "18             1.0    28.717160        0.0    3.876239  \n",
       "19             1.0    32.676446        0.0    3.876239  \n",
       "20             1.0    34.656061        0.0    3.876239  \n",
       "21             1.0    40.594789        0.0    3.876239  \n",
       "22             1.0    44.553845        0.0    3.876239  \n",
       "23             1.0    78.202723        0.0    3.876239  \n",
       "24            -3.0     2.939713        1.0    1.637582  \n",
       "25            -3.0     6.899426        1.0    1.637582  \n",
       "26            -3.0     8.879253        1.0    1.637582  \n",
       "27            -3.0    12.838850        1.0    1.637582  \n",
       "28            -3.0    14.818620        1.0    1.637582  \n",
       "29            -3.0    16.798371        1.0    1.637582  \n",
       "...            ...          ...        ...         ...  \n",
       "2884441    -3037.0  2863.728712        0.0  749.542034  \n",
       "2884442    -3037.0  2848.883716        0.0  749.542034  \n",
       "2884443    -3037.0  2838.987651        0.0  749.542034  \n",
       "2884444    -3037.0  2814.249577        0.0  749.542034  \n",
       "2884445    -3037.0  2789.514490        0.0  749.542034  \n",
       "2884446    -3037.0  2764.782386        0.0  749.542034  \n",
       "2884447    -3037.0  2740.053263        0.0  749.542034  \n",
       "2884448    -3037.0  2730.162448        0.0  749.542034  \n",
       "2884449    -3037.0  2706.426436        0.0  749.542034  \n",
       "2884450    -3037.0  2694.559459        0.0  749.542034  \n",
       "2884451    -5350.0  5344.056756        0.0  783.931261  \n",
       "2884452    -5350.0  5330.189858        0.0  783.931261  \n",
       "2884453    -5350.0  5300.478251        0.0  783.931261  \n",
       "2884454    -5350.0  5250.968510        0.0  783.931261  \n",
       "2884455    -5350.0  5239.087957        0.0  783.931261  \n",
       "2884456    -5350.0  5201.470759        0.0  783.931261  \n",
       "2884457    -5350.0  5176.726373        0.0  783.931261  \n",
       "2884458    -5350.0  5151.984978        0.0  783.931261  \n",
       "2884459    -5350.0  5136.152053        0.0  783.931261  \n",
       "2884460    -5350.0  5122.299248        0.0  783.931261  \n",
       "2884461    -5350.0  5116.362618        0.0  783.931261  \n",
       "2884462    -5350.0  5110.426159        0.0  783.931261  \n",
       "2884463    -5350.0  5102.511149        0.0  783.931261  \n",
       "2884464    -5350.0  5053.049255        0.0  783.931261  \n",
       "2884465    -5350.0  5003.599276        0.0  783.931261  \n",
       "2884466    -5350.0  4954.161194        0.0  783.931261  \n",
       "2884467    -5350.0  4926.481058        0.0  783.931261  \n",
       "2884468    -5350.0  4904.734991        0.0  783.931261  \n",
       "2884469    -5350.0  4855.320648        0.0  783.931261  \n",
       "2884470    -5350.0  4843.462969        0.0  783.931261  \n",
       "\n",
       "[2884471 rows x 21 columns]"
      ]
     },
     "execution_count": 331,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfmg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 638,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_pressure_gradient(df, profile_pair):\n",
    "    from haversine import haversine\n",
    "    from scipy import interpolate\n",
    "    mask1 = df.loc[:, 'PROFILE_NUMBER'].isin([profile_pair[0]])\n",
    "    mask2 = df.loc[:, 'PROFILE_NUMBER'].isin([profile_pair[1]])\n",
    "    \n",
    "    position1 = np.array(df.loc[df.loc[mask1].tail(1).index,'LATITUDE':'LONGITUDE'].values)[0]\n",
    "    position2 = np.array(df.loc[df.loc[mask2].tail(1).index,'LATITUDE':'LONGITUDE'].values)[0]\n",
    "    \n",
    "    xsign = (position2[1] - position1[1]) / abs(position1[1] - position2[1])\n",
    "    ysign = (position2[0] - position1[0]) / abs(position1[0] - position2[0])\n",
    "    \n",
    "    deltaY = haversine([position1[0], position1[1]], [position2[0], position1[1]])\n",
    "    deltaX = haversine([position1[0], position1[1]], [position1[0], position2[1]])\n",
    "    distance = haversine([position1[0], position1[1]], [position2[0], position2[1]])\n",
    "    \n",
    "    depth1 = df.loc[mask1, 'DEPTH'].values\n",
    "    press1 = df.loc[mask1, 'PRES_ADJUSTED'].values * 1e4\n",
    "    rho1 = df.loc[mask1, 'DENSITY_INSITU'].values\n",
    "    lat1 = df.loc[mask1, 'LATITUDE'].tail(1).values[0]\n",
    "    lon1 = df.loc[mask1, 'LONGITUDE'].tail(1).values[0]\n",
    "    time1 = np.datetime64(df.loc[mask1, 'JULD'].tail(1).values[0])\n",
    "    \n",
    "    depth2 = df.loc[mask2, 'DEPTH'].values\n",
    "    press2 = df.loc[mask2, 'PRES_ADJUSTED'].values * 1e4\n",
    "    rho2 = df.loc[mask2, 'DENSITY_INSITU'].values\n",
    "    lat2 = df.loc[mask2, 'LATITUDE'].tail(1).values[0]\n",
    "    lon2 = df.loc[mask2, 'LONGITUDE'].tail(1).values[0]\n",
    "    time2 = np.datetime64(df.loc[mask2, 'JULD'].tail(1).values[0])\n",
    "    \n",
    "    depth_regridded = np.arange(min([max(depth1) ,max(depth2)]) , max([min(depth1) ,min(depth2)]), -10)\n",
    "    \n",
    "    interp_func = interpolate.interp1d(depth1, press1)\n",
    "    press1_regridded = interp_func(depth_regridded)\n",
    "    \n",
    "    interp_func = interpolate.interp1d(depth2, press2)\n",
    "    press2_regridded = interp_func(depth_regridded)\n",
    "    \n",
    "    interp_func = interpolate.interp1d(depth1, rho1)\n",
    "    rho1_regridded = interp_func(depth_regridded)\n",
    "    \n",
    "    interp_func = interpolate.interp1d(depth2, rho2)\n",
    "    rho2_regridded = interp_func(depth_regridded)\n",
    "    \n",
    "    press_grad = (press2_regridded - press1_regridded)/(distance * 1e3)\n",
    "    theta = np.arctan(deltaY/deltaX)\n",
    "    press_grad_x = press_grad * np.cos(theta) * xsign\n",
    "    press_grad_y = press_grad * np.sin(theta) * ysign\n",
    "    print(\"xsign, ysign \",xsign, ysign)\n",
    "    # Reversing arrays to make it bottom to top order (0 at bed and increasing upwards)\n",
    "    depth_regridded = (-depth_regridded[-1] + depth_regridded)[::-1]\n",
    "    \n",
    "    return lat1, lon1, time1, depth_regridded, rho1_regridded[::-1], press_grad_x[::-1], press_grad_y[::-1]\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 660,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "xsign, ysign  1.0 -1.0\n"
     ]
    }
   ],
   "source": [
    "lat, lon, time, depth, rho, dp_x, dp_y = get_pressure_gradient(dfmg, [256594, 259580])\n",
    "resvel = [0.1, 0.1] #initial guess velocities at bottom and top"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 665,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.datetime64('2011-03-08')"
      ]
     },
     "execution_count": 665,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 662,
   "metadata": {},
   "outputs": [],
   "source": [
    "time = time.astype('M8[D]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 666,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "66 86 74\n",
      "0.32000732421875 -0.029998779296875\n"
     ]
    }
   ],
   "source": [
    "latind = np.asscalar(np.argmin(np.abs(U10['lat'] - lat)))\n",
    "lonind = np.asscalar(np.argmin(np.abs(U10['lon'] - (lon+180))))\n",
    "timeind = np.where(U10['time'].values.astype('<M8[D]') == time)[0][0]\n",
    "u10 = np.asscalar(U10['uwnd'][timeind][latind][lonind])\n",
    "print(timeind, latind, lonind)\n",
    "latind = np.asscalar(np.argmin(np.abs(V10['lat'] - lat)))\n",
    "lonind = np.asscalar(np.argmin(np.abs(V10['lon'] - (lon+180))))\n",
    "timeind = np.where(V10['time'].values.astype('<M8[D]') == time)[0][0]\n",
    "v10 = np.asscalar(V10['vwnd'][timeind][latind][lonind])\n",
    "print(u10, v10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 667,
   "metadata": {},
   "outputs": [],
   "source": [
    "def write_to_file(lat, lon, time, depth, rho, dp_x, dp_y, filename):\n",
    "    with open(str(filename), 'w') as outfile:\n",
    "        outfile.write(\"Lat = \"+str(lat)+\"\\n\")\n",
    "        outfile.write(\"Lon = \"+str(lon)+\"\\n\")\n",
    "        outfile.write(\"Time = \"+str(time)+\"\\n\")\n",
    "        outfile.write(\"depth \\t rho \\t dp_x \\t dp_y \\n\")\n",
    "        for i in range(len(depth)):\n",
    "            outfile.write(str(depth[i])+\"\\t\"+str(rho[i])+\"\\t\"+str(dp_x[i])+\"\\t\"+str(dp_y[i])+\"\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 668,
   "metadata": {},
   "outputs": [],
   "source": [
    "write_to_file(lat, lon, time, depth, rho, dp_x, dp_y, \"./casefiles/case_256594_259580.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 669,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[  5.11971900e-04   4.60389270e-04   4.44146183e-04   4.66937847e-04\n",
      "   3.82806181e-04   4.37735843e-04   3.19570526e-04   4.37866557e-04\n",
      "   2.87196362e-04   4.37538874e-04   2.70464159e-04   4.29886482e-04\n",
      "   2.47486452e-04   3.68813112e-04   2.60461431e-04   3.14184609e-04\n",
      "   2.37517741e-04   2.58369128e-04   2.44714961e-04   2.25881270e-04\n",
      "   2.32825691e-04   1.82479212e-04   2.63368676e-04   1.45506299e-04\n",
      "   2.24246779e-04   1.00894530e-04   1.94240385e-04   9.28650125e-05\n",
      "   1.28166343e-04   4.87812621e-05   1.02837892e-04   3.44460132e-05\n",
      "   6.56543416e-05   1.92859830e-05   3.48576474e-05   1.05306494e-05] [ -1.76708062e-04  -1.58904221e-04  -1.53297889e-04  -1.61164474e-04\n",
      "  -1.32126272e-04  -1.51085348e-04  -1.10300367e-04  -1.51130464e-04\n",
      "  -9.91263635e-05  -1.51017364e-04  -9.33512121e-05  -1.48376126e-04\n",
      "  -8.54204136e-05  -1.27296538e-04  -8.98987516e-05  -1.08441408e-04\n",
      "  -8.19796942e-05  -8.91765895e-05  -8.44638280e-05  -7.79633443e-05\n",
      "  -8.03602243e-05  -6.29830425e-05  -9.09021930e-05  -5.02217721e-05\n",
      "  -7.73991968e-05  -3.48239363e-05  -6.70424334e-05  -3.20525334e-05\n",
      "  -4.42368538e-05  -1.68369442e-05  -3.54946913e-05  -1.18891061e-05\n",
      "  -2.26607192e-05  -6.65659324e-06  -1.20311824e-05  -3.63467340e-06]\n"
     ]
    }
   ],
   "source": [
    "print(dp_x, dp_y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 521,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "import TBS\n",
    "importlib.reload(TBS)\n",
    "outdir = \"./Results/\"\n",
    "\n",
    "Model = TBS.Keps_Solver(100, lat, depth, -dp_x, dp_y, rho, u10, outdir, \"Vars\", RESVEL=[0.1,0.1])\n",
    "Model.solver(3600, 1, 300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 449,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19"
      ]
     },
     "execution_count": 449,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Model.N-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 431,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "199"
      ]
     },
     "execution_count": 431,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len((Model.nu_t[1:] + Model.nu_t[:-1]) *0.5 + Model.nu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 500,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f2826f27ba8>]"
      ]
     },
     "execution_count": 500,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DwC0t1HfZJPH+Nw/x94dfo5Q8iMTMbCVr5Rj9pyU9lRzaWZuM2wy8WjfPkWTcJSTdJemA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\n/CtzIYxgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f27c95112e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(Model.u, Model.y_mom)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 501,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f280aa42c88>]"
      ]
     },
     "execution_count": 501,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4FTgC7G6ifldNEr9z8wA/P/IGk+XKcu7azKwtNXOO/tOSnklO7axPyrYAr9cscywpu4Kk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\nHPRmZhnnoDczyzgHvZlZxv1/qyf8L2LAyD0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2819589a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(Model.v, Model.y_mom)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 497,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAEACAYAAAC3adEgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJDWGQZLUGAZJUmMYJEmNYZAkNf8HR2c52pozuQQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2826d6c588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(Model.nu_t, Model.y)\n",
    "plt.xscale(\"log\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 552,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  4.27261045e-03,  -4.85269627e-03,   1.89775656e-03,\n",
       "        -2.50512042e-03,  -1.62479094e-03,   1.18123806e-04,\n",
       "        -4.53789121e-03,   1.64024509e-04,  -1.87444322e-03,\n",
       "         4.86535934e-04,  -1.11781880e-03,  -5.03055931e-04,\n",
       "        -2.04794774e-03,   1.19236663e-03,  -2.69845204e-03,\n",
       "        -2.51438808e-04,  -3.78496059e-03,  -6.74746857e-04,\n",
       "         1.25004675e-03,  -3.75842933e-03,   5.08435356e-03,\n",
       "        -6.02353743e-03,   3.56309133e-03,  -1.95382006e-03,\n",
       "        -1.07577590e-03,  -4.64824879e-04,  -4.19507293e-03,\n",
       "         1.31107018e-03,  -2.65090068e-03,   5.04364094e-04,\n",
       "        -8.17221343e-04,  -1.44531576e-05])"
      ]
     },
     "execution_count": 552,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dp_x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 553,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  2.39848114e-03,  -2.72411928e-03,   1.06532842e-03,\n",
       "        -1.40627941e-03,  -9.12095887e-04,   6.63102158e-05,\n",
       "        -2.54739968e-03,   9.20771262e-05,  -1.05224119e-03,\n",
       "         2.73122784e-04,  -6.27500995e-04,  -2.82396483e-04,\n",
       "        -1.14964003e-03,   6.69349314e-04,  -1.51480843e-03,\n",
       "        -1.41148192e-04,  -2.12473304e-03,  -3.78777244e-04,\n",
       "         7.01728740e-04,  -2.10983940e-03,   2.85416287e-03,\n",
       "        -3.38138501e-03,   2.00018407e-03,  -1.09680033e-03,\n",
       "        -6.03899711e-04,  -2.60935023e-04,  -2.35495452e-03,\n",
       "         7.35984977e-04,  -1.48811490e-03,   2.83130836e-04,\n",
       "        -4.58757006e-04,  -8.11345344e-06])"
      ]
     },
     "execution_count": 553,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dp_y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 556,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f27db597438>]"
      ]
     },
     "execution_count": 556,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Z39FyXE6tUQRs09PlUFGISFbNTN7L89+sZXPqUZrHleSvnWsQV7qI37FyVMhv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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2808c0d0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(rho, depth)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0074999999999999997"
      ]
     },
     "execution_count": 305,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "0.03 * 5 * np.sqrt(2.5*1e-3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.23353588,  0.00863166])"
      ]
     },
     "execution_count": 307,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Model.ustar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}