trails_processing_demo.ipynb

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   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Trails processing-demo\n",
      "========================\n",
      "Moving your mouse pointer across the display below will rotate the celestial sphere,\n",
      "displaying the meteors trails over the stars from Hipparcos catalouge"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%pylab inline\n",
      "import sky\n",
      "import meteors\n",
      "import pandas as pd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pd.set_option('display.max_rows', 10000)\n",
      "pd.set_option('display.max_columns', 10000)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Loading data\n",
      "------------\n",
      "Loading data from csv table, fixing the mising observer's position, by using another observer's position (if it exists) or worknig with average position from all observers"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data = meteors.load_data(\"http://meteor1.astrozor.cz:3003/expa14.csv\")\n",
      "data = meteors.fix_position(data)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Displaying the meteor trails\n",
      "------------------------\n",
      "First argument is pandas data structure, second argument is lowest magnitude shown. Based on [astronomy notebooks by Brandon Rhodes](https://github.com/brandon-rhodes/astronomy-notebooks) You can choose what do you want to display using [standard pandas features](http://pandas.pydata.org/pandas-docs/stable/cookbook.html) (Switch the commented line for an example)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#sky.starfield(data[data.observer == \" Kr3bm4\"])\n",
      "sky.starfield(data, 5)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<style>\n",
        "  .constellation {fill: #dddddd}oke\n",
        "  .star-blue {fill: #002664}\n",
        "  .trails {fill: none; stroke: #000; stroke-width: 1px;}\n",
        "</style>\n",
        "<script>\n",
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        "var star_data = 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        "var trails_data = [{'type': 'LineString', 'coordinates': [[250.42514256362676, 9.0821034305483241], [276.56195047253169, -9.5591315112714295]]}, {'type': 'LineString', 'coordinates': [[117.94173031875647, -61.59614101190855], [20.70699576382534, -25.386212268553457]]}, {'type': 'LineString', 'coordinates': [[148.81656547662567, -42.10788788338418], [169.38909622983485, -8.5322127962599694]]}, {'type': 'LineString', 'coordinates': [[124.62137317393315, 9.2960510207257521], [146.74317376103329, 20.799601814541678]]}, {'type': 'LineString', 'coordinates': [[302.9717309090143, -17.266152734446553], [299.1675635624008, -22.731770268504469]]}, {'type': 'LineString', 'coordinates': [[271.55747714869, 0.077938816231823568], [272.46307357411018, -0.60491585243579127]]}, {'type': 'LineString', 'coordinates': [[294.23539344646258, 14.05587166017559], [293.95542988983198, 13.069796823541415]]}, {'type': 'LineString', 'coordinates': [[276.63493586464119, 6.9678062622584909], [277.88558883690359, 3.7691380008110738]]}, {'type': 'LineString', 'coordinates': [[294.67622121282801, -19.710617720559021], [294.97200739439842, -21.065135621612423]]}, {'type': 'LineString', 'coordinates': [[291.14436993728884, 18.457492632600392], [293.60669798178668, 15.661036485738045]]}, {'type': 'LineString', 'coordinates': [[307.577741556143, -19.048523561901938], [302.82636196297346, -14.1767392685712]]}, {'type': 'LineString', 'coordinates': [[283.54385961046006, 11.06727301910974], [279.76328185788793, 5.6671373749949803]]}, {'type': 'LineString', 'coordinates': [[290.86158375630998, 23.861050931233375], [294.3236057910068, 22.341420709711816]]}, {'type': 'LineString', 'coordinates': [[10.465607393171359, 47.319841103938387], [120.5282533056274, -12.769872567111287]]}, {'type': 'LineString', 'coordinates': [[300.66191211189283, 3.836103344995589], [311.51785143872519, -17.385516632660764]]}, {'type': 'LineString', 'coordinates': [[342.21456518823896, -6.9787616609219514], [347.11044803207295, -32.231451092544098]]}, {'type': 'LineString', 'coordinates': [[329.5748725266277, 19.291271166417765], [348.46526096617049, 15.765692976648703]]}, {'type': 'LineString', 'coordinates': [[0.41703187686593424, 0.51093612805217259], [347.46684349182402, -18.349833006628341]]}, {'type': 'LineString', 'coordinates': [[320.26695394752653, 27.955540260159911], [342.01029946969595, 33.342184806707991]]}, {'type': 'LineString', 'coordinates': [[171.04235774660714, 0.76314553216217063], [171.1591231787385, 1.5571665910868346]]}, {'type': 'LineString', 'coordinates': [[168.64016739402101, 0.97003519498755197], [168.35635324343724, 0.90783897416510828]]}, {'type': 'LineString', 'coordinates': [[334.8439990603062, 20.816167105006976], [325.4289154752986, 19.544055095161085]]}, {'type': 'LineString', 'coordinates': [[21.997144785555633, 55.602532680792692], [4.0317512838555025, 64.650706546832325]]}];\n",
        "activate_sky_display = function(d3) {\n",
        "\n",
        "    var full_circle = 24 * 3600;\n",
        "    var half_circle = 12 * 3600;\n",
        "    var mod = function(n, m) {\n",
        "        return ((n % m) + m) % m;\n",
        "    };\n",
        "    direction_to = function(ra, ra2) {\n",
        "        return (mod(ra2 - ra, full_circle) < half_circle) ? +240 : -240;\n",
        "    };\n",
        "    var interpolate = function(a) {\n",
        "        /* Given an array `a` of ra,dec pairs tracing a constellation\n",
        "           boundary, produce an interpolated boundary whose east-west\n",
        "           borders correctly follows lines of declination, and which\n",
        "           ends with a copy of the same coordinate that it starts with\n",
        "           (as required by d3). */\n",
        "        var b = [];\n",
        "        var radec = a[a.length - 1];\n",
        "        var ra = radec[0], dec = radec[1];\n",
        "        b.push([ra, dec]);\n",
        "        for (var i = 0; i < a.length; i++) {\n",
        "            var radec = a[i];\n",
        "            var ra2 = radec[0], dec2 = radec[1];\n",
        "            if (ra != ra2) {\n",
        "                var step = direction_to(ra, ra2);\n",
        "                ra = mod(ra + step, full_circle);\n",
        "                while (step == direction_to(ra, ra2)) {\n",
        "                    b.push([ra, dec]);\n",
        "                    ra = mod(ra + step, full_circle);\n",
        "                }\n",
        "            }\n",
        "            ra = ra2, dec = dec2;\n",
        "            b.push([ra, dec]);\n",
        "        }\n",
        "        for (var i = 0; i < b.length; i++) {\n",
        "            var radec = b[i];\n",
        "            radec[0] = -radec[0] / 240.0;\n",
        "            radec[1] = radec[1] / 60.0;\n",
        "        }\n",
        "        return b;\n",
        "    };\n",
        "\n",
        "    for (var con in boundary_data) {\n",
        "        var boundary = boundary_data[con];\n",
        "        boundary.coordinates[0] = interpolate(boundary.coordinates[0]);\n",
        "        boundary.coordinates[0].reverse();\n",
        "    }\n",
        "\n",
        "    var ser1 = boundary_data.SER1;\n",
        "    var ser2 = boundary_data.SER2;\n",
        "    delete boundary_data.SER1;\n",
        "    delete boundary_data.SER2;\n",
        "    ser1.coordinates.push(ser2.coordinates[0]);\n",
        "    boundary_data.SER = ser1;\n",
        "\n",
        "    var width = 900;\n",
        "    var height = 900;\n",
        "\n",
        "    var constellation_at = function(ra, dec) {\n",
        "        n = decision_data.length;\n",
        "        for (i = 0; i < n; i++) {\n",
        "            row = decision_data[i];\n",
        "            if ((dec >= row[2]) && (row[0] <= ra) && (ra < row[1]))\n",
        "                return row[3];\n",
        "        }\n",
        "        return row[3];\n",
        "    };\n",
        "\n",
        "    var projection = d3.geo.azimuthalEqualArea()\n",
        "        .scale(300)\n",
        "        .translate([width / 2, height / 2])\n",
        "        .clipAngle(90);\n",
        "\n",
        "    var path = d3.geo.path()\n",
        "        .projection(projection)\n",
        "        .pointRadius(function(feature) {return 2 - feature['magnitude'] / 3;});\n",
        "\n",
        "    var \u03bb = d3.scale.linear()\n",
        "        .domain([0, width])\n",
        "        .range([0, 370]);\n",
        "\n",
        "    var \u03c6 = d3.scale.linear()\n",
        "        .domain([0, height])\n",
        "        .range([90, -90]);\n",
        "\n",
        "    var constellation_p = d3.select('#abcd').append('p');\n",
        "\n",
        "    var svg = d3.select('#abcd').append('svg')\n",
        "        .attr('width', width)\n",
        "        .attr('height', height);\n",
        "\n",
        "    var current_constellation = 'ORI';\n",
        "\n",
        "    var constellation = svg.append('g').attr('class', 'constellation');\n",
        "    var starpaths = svg.append('g');\n",
        "    var trails = svg.append('g');\n",
        "\n",
        "    constellation.selectAll('path')\n",
        "        .data([boundary_data[current_constellation]])\n",
        "        .enter()\n",
        "        .append('path')\n",
        "        .attr('d', path);\n",
        "\n",
        "    starpaths.selectAll('path')\n",
        "        .data(star_data)\n",
        "        .enter()\n",
        "        .append('path')\n",
        "        .attr('class', function(d) {return 'star-' + d.color})\n",
        "        .attr('d', path);\n",
        "\n",
        "    /* var trails_data = [{'coordinates': [[20.0, 40.0], [60.0, 60.0]], 'type': 'LineString'}] */\n",
        "\n",
        "    trails.selectAll('path')\n",
        "        .data(trails_data)\n",
        "        .enter()\n",
        "        .append('path')\n",
        "        .attr('d', path)\n",
        "        .attr('class', 'trails')\n",
        "\n",
        "    svg.on('mousemove', function() {\n",
        "        var p = d3.mouse(this);\n",
        "        var ra = \u03bb(p[0]) % 360.0;\n",
        "        var dec = \u03c6(p[1]);\n",
        "        var con = constellation_at(ra, -dec);\n",
        "        projection.rotate([ra, dec]);\n",
        "        if (con != current_constellation) {\n",
        "            current_constellation = con;\n",
        "            constellation_p.text(con);\n",
        "            constellation.selectAll('path')\n",
        "                .data([boundary_data[current_constellation]]);\n",
        "        }\n",
        "        svg.selectAll('path').attr('d', path);\n",
        "    });\n",
        "\n",
        "    console.log('up and running!');\n",
        "};\n",
        "\n",
        "if (typeof define === 'function' && define.amd) {\n",
        "    /* We are inside a live IPython Notebook and must use RequireJS */\n",
        "\n",
        "    require.config({paths: {d3: 'http://d3js.org/d3.v3.min'}});\n",
        "    require(['d3'], function(d3) {\n",
        "        activate_sky_display(d3);\n",
        "    });\n",
        "} else {\n",
        "    /* We are in the IPython Notebook Viewer and must shift for ourselves */\n",
        "\n",
        "    var d3_script_tag = document.createElement('script');\n",
        "    d3_script_tag.src = 'http://d3js.org/d3.v3.min.js';\n",
        "    d3_script_tag.async = true;\n",
        "    d3_script_tag.onreadystatechange = d3_script_tag.onload = function() {\n",
        "        var callback = activate_sky_display;\n",
        "        var state = d3_script_tag.readyState;\n",
        "        if (!callback.done && (!state || /loaded|complete/.test(state))) {\n",
        "            callback.done = true;\n",
        "            callback(d3);\n",
        "        }\n",
        "    };\n",
        "    document.getElementsByTagName('head')[0].appendChild(d3_script_tag);\n",
        "}\n",
        "\n",
        "</script>\n",
        "<div id=\"abcd\"></div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "<IPython.core.display.HTML at 0x7fd0f477be90>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Ploting the score board\n",
      "-----------------------\n",
      "Winner schould get chocolate"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "score = data.groupby(\"observer\").observer.count()\n",
      "score.sort(ascending = False)\n",
      "\n",
      "font = {'size'   : 18}\n",
      "matplotlib.rc('font', **font)\n",
      "rcParams['figure.figsize'] = (18, 5)\n",
      "score.plot(kind = \"bar\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0x7fd0ccd382d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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qq65SUlKSJkyYYDoK4Hc9evTQ+PHj9cknn+jWW2/NPj5mzBgNGzZM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       "text": [
        "<matplotlib.figure.Figure at 0x7fd0cd1a9e50>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Table of all records\n",
      "--------------------\n",
      "Time is in utc"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>time</th>\n",
        "      <th>beg_x</th>\n",
        "      <th>beg_y</th>\n",
        "      <th>beg_z</th>\n",
        "      <th>end_x</th>\n",
        "      <th>end_y</th>\n",
        "      <th>end_z</th>\n",
        "      <th>lat</th>\n",
        "      <th>lon</th>\n",
        "      <th>observer</th>\n",
        "      <th>note</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0 </th>\n",
        "      <td> 2014-15-07 20:51:03</td>\n",
        "      <td> 0.875382</td>\n",
        "      <td> 0.409684</td>\n",
        "      <td> 0.256643</td>\n",
        "      <td> 0.486931</td>\n",
        "      <td> 0.762538</td>\n",
        "      <td> 0.425951</td>\n",
        "      <td> 30.304230</td>\n",
        "      <td>  9.606701</td>\n",
        "      <td>                                        Kaklik</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1 </th>\n",
        "      <td> 2014-18-07 23:04:14</td>\n",
        "      <td>-0.736155</td>\n",
        "      <td>-0.277478</td>\n",
        "      <td> 0.617318</td>\n",
        "      <td>-0.575807</td>\n",
        "      <td> 0.794333</td>\n",
        "      <td> 0.193601</td>\n",
        "      <td> 30.304230</td>\n",
        "      <td>  9.606701</td>\n",
        "      <td>  unnamed-420183ba-a5b9-43e9-b757-769ed7a13599</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2 </th>\n",
        "      <td> 2014-18-07 23:04:25</td>\n",
        "      <td>-0.562187</td>\n",
        "      <td>-0.680422</td>\n",
        "      <td> 0.470076</td>\n",
        "      <td>-0.110813</td>\n",
        "      <td>-0.987654</td>\n",
        "      <td> 0.110725</td>\n",
        "      <td> 30.304230</td>\n",
        "      <td>  9.606701</td>\n",
        "      <td>  unnamed-420183ba-a5b9-43e9-b757-769ed7a13599</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3 </th>\n",
        "      <td> 2014-18-07 23:05:43</td>\n",
        "      <td>-0.585938</td>\n",
        "      <td>-0.660247</td>\n",
        "      <td>-0.469840</td>\n",
        "      <td>-0.208504</td>\n",
        "      <td>-0.841034</td>\n",
        "      <td>-0.499187</td>\n",
        "      <td> 30.304230</td>\n",
        "      <td>  9.606701</td>\n",
        "      <td>                                        Kaklik</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4 </th>\n",
        "      <td> 2014-18-07 23:09:38</td>\n",
        "      <td>-0.480081</td>\n",
        "      <td> 0.519489</td>\n",
        "      <td> 0.706862</td>\n",
        "      <td>-0.568090</td>\n",
        "      <td> 0.449296</td>\n",
        "      <td> 0.689497</td>\n",
        "      <td> 50.507339</td>\n",
        "      <td> 16.011144</td>\n",
        "      <td>                                         Roman</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5 </th>\n",
        "      <td> 2014-18-07 23:09:49</td>\n",
        "      <td>-0.238103</td>\n",
        "      <td> 0.026114</td>\n",
        "      <td> 0.970889</td>\n",
        "      <td>-0.249532</td>\n",
        "      <td> 0.041908</td>\n",
        "      <td> 0.967459</td>\n",
        "      <td> 50.507339</td>\n",
        "      <td> 16.011144</td>\n",
        "      <td>                                         Roman</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6 </th>\n",
        "      <td> 2014-18-07 23:09:56</td>\n",
        "      <td> 0.023791</td>\n",
        "      <td> 0.396801</td>\n",
        "      <td> 0.917596</td>\n",
        "      <td> 0.006202</td>\n",
        "      <td> 0.394104</td>\n",
        "      <td> 0.919045</td>\n",
        "      <td> 50.507339</td>\n",
        "      <td> 16.011144</td>\n",
        "      <td>                                         Roman</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7 </th>\n",
        "      <td> 2014-18-07 23:19:32</td>\n",
        "      <td>-0.119441</td>\n",
        "      <td> 0.071627</td>\n",
        "      <td> 0.990254</td>\n",
        "      <td>-0.174212</td>\n",
        "      <td> 0.093709</td>\n",
        "      <td> 0.980239</td>\n",
        "      <td> 50.507445</td>\n",
        "      <td> 16.011121</td>\n",
        "      <td>                                         Roman</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8 </th>\n",
        "      <td> 2014-18-07 23:19:39</td>\n",
        "      <td>-0.536367</td>\n",
        "      <td> 0.354943</td>\n",
        "      <td> 0.765719</td>\n",
        "      <td>-0.555615</td>\n",
        "      <td> 0.356295</td>\n",
        "      <td> 0.751229</td>\n",
        "      <td> 50.507445</td>\n",
        "      <td> 16.011121</td>\n",
        "      <td>                                         Roman</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9 </th>\n",
        "      <td> 2014-18-07 23:19:46</td>\n",
        "      <td> 0.091953</td>\n",
        "      <td> 0.302379</td>\n",
        "      <td> 0.948742</td>\n",
        "      <td> 0.046767</td>\n",
        "      <td> 0.345869</td>\n",
        "      <td> 0.937117</td>\n",
        "      <td> 50.507445</td>\n",
        "      <td> 16.011121</td>\n",
        "      <td>                                         Roman</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>10</th>\n",
        "      <td> 2014-18-07 23:20:01</td>\n",
        "      <td>-0.502481</td>\n",
        "      <td> 0.541624</td>\n",
        "      <td> 0.673911</td>\n",
        "      <td>-0.438543</td>\n",
        "      <td> 0.487822</td>\n",
        "      <td> 0.754791</td>\n",
        "      <td> 50.507445</td>\n",
        "      <td> 16.011121</td>\n",
        "      <td>                                         Roman</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
        "      <td> 2014-18-07 23:20:12</td>\n",
        "      <td>-0.044556</td>\n",
        "      <td> 0.185240</td>\n",
        "      <td> 0.981683</td>\n",
        "      <td>-0.140737</td>\n",
        "      <td> 0.122985</td>\n",
        "      <td> 0.982379</td>\n",
        "      <td> 50.507445</td>\n",
        "      <td> 16.011121</td>\n",
        "      <td>                                         Roman</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>12</th>\n",
        "      <td> 2014-18-07 23:20:22</td>\n",
        "      <td> 0.184517</td>\n",
        "      <td> 0.284969</td>\n",
        "      <td> 0.940609</td>\n",
        "      <td> 0.163018</td>\n",
        "      <td> 0.340759</td>\n",
        "      <td> 0.925910</td>\n",
        "      <td> 50.507445</td>\n",
        "      <td> 16.011121</td>\n",
        "      <td>                                         Roman</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>13</th>\n",
        "      <td> 2014-19-07 12:54:19</td>\n",
        "      <td> 0.759278</td>\n",
        "      <td>-0.650706</td>\n",
        "      <td>-0.008876</td>\n",
        "      <td>-0.447226</td>\n",
        "      <td> 0.064251</td>\n",
        "      <td> 0.892110</td>\n",
        "      <td> 50.506834</td>\n",
        "      <td> 16.011550</td>\n",
        "      <td>                                         MiCHi</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>14</th>\n",
        "      <td> 2014-20-07 01:53:11</td>\n",
        "      <td>-0.168897</td>\n",
        "      <td>-0.196156</td>\n",
        "      <td> 0.965918</td>\n",
        "      <td>-0.518258</td>\n",
        "      <td>-0.008029</td>\n",
        "      <td> 0.855187</td>\n",
        "      <td> 50.506870</td>\n",
        "      <td> 16.010832</td>\n",
        "      <td>                                        Kr3bm4</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>15</th>\n",
        "      <td> 2014-20-07 01:54:11</td>\n",
        "      <td>-0.323576</td>\n",
        "      <td> 0.495756</td>\n",
        "      <td> 0.805931</td>\n",
        "      <td>-0.683826</td>\n",
        "      <td> 0.483493</td>\n",
        "      <td> 0.546458</td>\n",
        "      <td> 50.506911</td>\n",
        "      <td> 16.010771</td>\n",
        "      <td>                                        Kr3bm4</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>16</th>\n",
        "      <td> 2014-20-07 02:36:33</td>\n",
        "      <td> 0.096707</td>\n",
        "      <td> 0.110179</td>\n",
        "      <td> 0.989196</td>\n",
        "      <td> 0.056343</td>\n",
        "      <td> 0.415740</td>\n",
        "      <td> 0.907736</td>\n",
        "      <td> 50.506870</td>\n",
        "      <td> 16.010832</td>\n",
        "      <td>                                        Kr3bm4</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>17</th>\n",
        "      <td> 2014-20-07 03:00:18</td>\n",
        "      <td>-0.194946</td>\n",
        "      <td> 0.523847</td>\n",
        "      <td> 0.829205</td>\n",
        "      <td>-0.520672</td>\n",
        "      <td> 0.303398</td>\n",
        "      <td> 0.798029</td>\n",
        "      <td> 50.506858</td>\n",
        "      <td> 16.010803</td>\n",
        "      <td>                                        Kr3bm4</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>18</th>\n",
        "      <td> 2014-20-07 03:00:34</td>\n",
        "      <td> 0.246427</td>\n",
        "      <td>-0.132466</td>\n",
        "      <td> 0.960066</td>\n",
        "      <td> 0.339211</td>\n",
        "      <td> 0.189607</td>\n",
        "      <td> 0.921404</td>\n",
        "      <td> 50.506870</td>\n",
        "      <td> 16.010832</td>\n",
        "      <td>                                        Kr3bm4</td>\n",
        "      <td> NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>19</th>\n",
        "      <td> 2014-23-07 22:49:40</td>\n",
        "      <td> 0.049894</td>\n",
        "      <td>-0.987885</td>\n",
        "      <td>-0.146950</td>\n",
        "      <td> 0.062856</td>\n",
        "      <td>-0.987920</td>\n",
        "      <td>-0.141641</td>\n",
        "      <td> 50.506870</td>\n",
        "      <td> 16.010832</td>\n",
        "      <td>                                        Kr3bm4</td>\n",
        "      <td>    </td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>20</th>\n",
        "      <td> 2014-23-07 22:50:04</td>\n",
        "      <td> 0.063673</td>\n",
        "      <td>-0.980138</td>\n",
        "      <td>-0.187816</td>\n",
        "      <td> 0.063780</td>\n",
        "      <td>-0.979165</td>\n",
        "      <td>-0.192791</td>\n",
        "      <td> 50.506870</td>\n",
        "      <td> 16.010832</td>\n",
        "      <td>                                        Kr3bm4</td>\n",
        "      <td>    </td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>21</th>\n",
        "      <td> 2014-23-07 23:38:37</td>\n",
        "      <td> 0.209461</td>\n",
        "      <td> 0.742909</td>\n",
        "      <td> 0.635777</td>\n",
        "      <td> 0.160667</td>\n",
        "      <td> 0.645349</td>\n",
        "      <td> 0.746801</td>\n",
        "      <td> 50.506870</td>\n",
        "      <td> 16.010832</td>\n",
        "      <td>                                        Kr3bm4</td>\n",
        "      <td>    </td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>22</th>\n",
        "      <td> 2014-26-07 02:14:49</td>\n",
        "      <td> 0.730976</td>\n",
        "      <td> 0.482506</td>\n",
        "      <td> 0.482558</td>\n",
        "      <td> 0.799915</td>\n",
        "      <td> 0.279157</td>\n",
        "      <td> 0.531231</td>\n",
        "      <td> 50.506870</td>\n",
        "      <td> 16.010832</td>\n",
        "      <td>                                        Kr3bm4</td>\n",
        "      <td>    </td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>23 rows \u00d7 11 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "                   time     beg_x     beg_y     beg_z     end_x     end_y  \\\n",
        "0   2014-15-07 20:51:03  0.875382  0.409684  0.256643  0.486931  0.762538   \n",
        "1   2014-18-07 23:04:14 -0.736155 -0.277478  0.617318 -0.575807  0.794333   \n",
        "2   2014-18-07 23:04:25 -0.562187 -0.680422  0.470076 -0.110813 -0.987654   \n",
        "3   2014-18-07 23:05:43 -0.585938 -0.660247 -0.469840 -0.208504 -0.841034   \n",
        "4   2014-18-07 23:09:38 -0.480081  0.519489  0.706862 -0.568090  0.449296   \n",
        "5   2014-18-07 23:09:49 -0.238103  0.026114  0.970889 -0.249532  0.041908   \n",
        "6   2014-18-07 23:09:56  0.023791  0.396801  0.917596  0.006202  0.394104   \n",
        "7   2014-18-07 23:19:32 -0.119441  0.071627  0.990254 -0.174212  0.093709   \n",
        "8   2014-18-07 23:19:39 -0.536367  0.354943  0.765719 -0.555615  0.356295   \n",
        "9   2014-18-07 23:19:46  0.091953  0.302379  0.948742  0.046767  0.345869   \n",
        "10  2014-18-07 23:20:01 -0.502481  0.541624  0.673911 -0.438543  0.487822   \n",
        "11  2014-18-07 23:20:12 -0.044556  0.185240  0.981683 -0.140737  0.122985   \n",
        "12  2014-18-07 23:20:22  0.184517  0.284969  0.940609  0.163018  0.340759   \n",
        "13  2014-19-07 12:54:19  0.759278 -0.650706 -0.008876 -0.447226  0.064251   \n",
        "14  2014-20-07 01:53:11 -0.168897 -0.196156  0.965918 -0.518258 -0.008029   \n",
        "15  2014-20-07 01:54:11 -0.323576  0.495756  0.805931 -0.683826  0.483493   \n",
        "16  2014-20-07 02:36:33  0.096707  0.110179  0.989196  0.056343  0.415740   \n",
        "17  2014-20-07 03:00:18 -0.194946  0.523847  0.829205 -0.520672  0.303398   \n",
        "18  2014-20-07 03:00:34  0.246427 -0.132466  0.960066  0.339211  0.189607   \n",
        "19  2014-23-07 22:49:40  0.049894 -0.987885 -0.146950  0.062856 -0.987920   \n",
        "20  2014-23-07 22:50:04  0.063673 -0.980138 -0.187816  0.063780 -0.979165   \n",
        "21  2014-23-07 23:38:37  0.209461  0.742909  0.635777  0.160667  0.645349   \n",
        "22  2014-26-07 02:14:49  0.730976  0.482506  0.482558  0.799915  0.279157   \n",
        "\n",
        "       end_z        lat        lon  \\\n",
        "0   0.425951  30.304230   9.606701   \n",
        "1   0.193601  30.304230   9.606701   \n",
        "2   0.110725  30.304230   9.606701   \n",
        "3  -0.499187  30.304230   9.606701   \n",
        "4   0.689497  50.507339  16.011144   \n",
        "5   0.967459  50.507339  16.011144   \n",
        "6   0.919045  50.507339  16.011144   \n",
        "7   0.980239  50.507445  16.011121   \n",
        "8   0.751229  50.507445  16.011121   \n",
        "9   0.937117  50.507445  16.011121   \n",
        "10  0.754791  50.507445  16.011121   \n",
        "11  0.982379  50.507445  16.011121   \n",
        "12  0.925910  50.507445  16.011121   \n",
        "13  0.892110  50.506834  16.011550   \n",
        "14  0.855187  50.506870  16.010832   \n",
        "15  0.546458  50.506911  16.010771   \n",
        "16  0.907736  50.506870  16.010832   \n",
        "17  0.798029  50.506858  16.010803   \n",
        "18  0.921404  50.506870  16.010832   \n",
        "19 -0.141641  50.506870  16.010832   \n",
        "20 -0.192791  50.506870  16.010832   \n",
        "21  0.746801  50.506870  16.010832   \n",
        "22  0.531231  50.506870  16.010832   \n",
        "\n",
        "                                         observer note  \n",
        "0                                          Kaklik  NaN  \n",
        "1    unnamed-420183ba-a5b9-43e9-b757-769ed7a13599  NaN  \n",
        "2    unnamed-420183ba-a5b9-43e9-b757-769ed7a13599  NaN  \n",
        "3                                          Kaklik  NaN  \n",
        "4                                           Roman  NaN  \n",
        "5                                           Roman  NaN  \n",
        "6                                           Roman  NaN  \n",
        "7                                           Roman  NaN  \n",
        "8                                           Roman  NaN  \n",
        "9                                           Roman  NaN  \n",
        "10                                          Roman  NaN  \n",
        "11                                          Roman  NaN  \n",
        "12                                          Roman  NaN  \n",
        "13                                          MiCHi  NaN  \n",
        "14                                         Kr3bm4  NaN  \n",
        "15                                         Kr3bm4  NaN  \n",
        "16                                         Kr3bm4  NaN  \n",
        "17                                         Kr3bm4  NaN  \n",
        "18                                         Kr3bm4  NaN  \n",
        "19                                         Kr3bm4       \n",
        "20                                         Kr3bm4       \n",
        "21                                         Kr3bm4       \n",
        "22                                         Kr3bm4       \n",
        "\n",
        "[23 rows x 11 columns]"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    }
   ],
   "metadata": {}
  }
 ]
}