{
 "metadata": {
  "name": "",
  "signature": "sha256:1c1be06f9d7822574f18c253f2e4b815848877cca2fda99a5b662c1b0c1e8e24"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from owslib.wmts import WebMapTileService\n",
      "import Image"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "endpoint='https://services.digitalglobe.com/earthservice/wmtsaccess?connectid=1ad41a7a-2a21-4221-b524-94aa6b63cdf4'\n",
      "wmts = WebMapTileService(endpoint)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted(list(wmts.contents))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "['DigitalGlobe:CrisisEventTileService', 'DigitalGlobe:ImageryTileService']"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tile = wmts.gettile(layer='MODIS_Terra_CorrectedReflectance_TrueColor', tilematrixset='EPSG4326_250m', tilematrix='0', row=0, column=0, format=\"image/jpeg\")\n",
      "out = open(scratch_file('nasa_modis_terra_truecolour.jpg'), 'wb')\n",
      "out.write(tile.read())\n",
      "out.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "KeyError",
       "evalue": "'No content named MODIS_Terra_CorrectedReflectance_TrueColor'",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
        "\u001b[1;32m<ipython-input-4-8647abae10d4>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtile\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mwmts\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgettile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlayer\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'MODIS_Terra_CorrectedReflectance_TrueColor'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtilematrixset\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'EPSG4326_250m'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtilematrix\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'0'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrow\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumn\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"image/jpeg\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mout\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mscratch_file\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'nasa_modis_terra_truecolour.jpg'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'wb'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mout\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtile\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mout\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;32m/home/local/python27_epd/lib/python2.7/site-packages/owslib/wmts.pyc\u001b[0m in \u001b[0;36mgettile\u001b[1;34m(self, base_url, layer, style, format, tilematrixset, tilematrix, row, column)\u001b[0m\n\u001b[0;32m    205\u001b[0m         \"\"\"Request a tile from a WMTS server\n\u001b[0;32m    206\u001b[0m         \"\"\"\n\u001b[1;32m--> 207\u001b[1;33m         \u001b[0mdata\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbuildTileRequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlayer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mstyle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtilematrixset\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtilematrix\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrow\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    208\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    209\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mbase_url\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;32m/home/local/python27_epd/lib/python2.7/site-packages/owslib/wmts.pyc\u001b[0m in \u001b[0;36mbuildTileRequest\u001b[1;34m(self, layer, style, format, tilematrixset, tilematrix, row, column)\u001b[0m\n\u001b[0;32m    174\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"layer is mandatory (cannot be None)\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    175\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mstyle\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 176\u001b[1;33m             \u001b[0mstyle\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mlayer\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstyles\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    177\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mformat\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    178\u001b[0m             \u001b[0mformat\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mlayer\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformats\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;32m/home/local/python27_epd/lib/python2.7/site-packages/owslib/wmts.pyc\u001b[0m in \u001b[0;36m__getitem__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m     67\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'contents'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     68\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 69\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"No content named %s\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     70\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     71\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;31mKeyError\u001b[0m: 'No content named MODIS_Terra_CorrectedReflectance_TrueColor'"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tile = wmts.gettile(layer='MODIS_Terra_CorrectedReflectance_TrueColor', tilematrixset='EPSG4326_250m', tilematrix='0', row=0, column=0, format=\"image/jpeg\")\n",
      "wms_image = Image.open(cStringIO.StringIO(tile.read())\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from owslib.wmts import WebMapTileService\n",
      "wmts = WebMapTileService(\"http://map1c.vis.earthdata.nasa.gov/wmts-geo/wmts.cgi\")\n",
      "print wmts.identification.type\n",
      "print wmts.identification.version\n",
      "print wmts.identification.title\n",
      "print str.strip(wmts.identification.abstract)\n",
      "print wmts.identification.keywords"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "OGC WMTS\n",
        "1.0.0\n",
        "NASA Global Imagery Browse Services for EOSDIS\n",
        "Near real time imagery from multiple NASA instruments\n",
        "['World', 'Global']\n"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted(list(wmts.contents))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "['AIRS_CO_Total_Column_Day',\n",
        " 'AIRS_CO_Total_Column_Night',\n",
        " 'AIRS_Dust_Score',\n",
        " 'AIRS_Prata_SO2_Index_Day',\n",
        " 'AIRS_Prata_SO2_Index_Night',\n",
        " 'AIRS_Precipitation_Day',\n",
        " 'AIRS_Precipitation_Night',\n",
        " 'AMSRE_Brightness_Temp_89H_Day',\n",
        " 'AMSRE_Brightness_Temp_89H_Night',\n",
        " 'AMSRE_Brightness_Temp_89V_Day',\n",
        " 'AMSRE_Brightness_Temp_89V_Night',\n",
        " 'MEaSUREs_Daily_Landscape_Freeze_Thaw_AMSRE',\n",
        " 'MEaSUREs_Daily_Landscape_Freeze_Thaw_SSMI',\n",
        " 'MLS_CO_215hPa_Day',\n",
        " 'MLS_CO_215hPa_Night',\n",
        " 'MLS_H2O_46hPa_Day',\n",
        " 'MLS_H2O_46hPa_Night',\n",
        " 'MLS_HNO3_46hPa_Day',\n",
        " 'MLS_HNO3_46hPa_Night',\n",
        " 'MLS_N2O_46hPa_Day',\n",
        " 'MLS_N2O_46hPa_Night',\n",
        " 'MLS_O3_46hPa_Day',\n",
        " 'MLS_O3_46hPa_Night',\n",
        " 'MLS_SO2_147hPa_Day',\n",
        " 'MLS_SO2_147hPa_Night',\n",
        " 'MLS_Temperature_46hPa_Day',\n",
        " 'MLS_Temperature_46hPa_Night',\n",
        " 'MODIS_Aqua_Aerosol',\n",
        " 'MODIS_Aqua_Brightness_Temp_Band31_Day',\n",
        " 'MODIS_Aqua_Brightness_Temp_Band31_Night',\n",
        " 'MODIS_Aqua_Chlorophyll_A',\n",
        " 'MODIS_Aqua_Cloud_Top_Pressure_Day',\n",
        " 'MODIS_Aqua_Cloud_Top_Pressure_Night',\n",
        " 'MODIS_Aqua_Cloud_Top_Temp_Day',\n",
        " 'MODIS_Aqua_Cloud_Top_Temp_Night',\n",
        " 'MODIS_Aqua_CorrectedReflectance_Bands721',\n",
        " 'MODIS_Aqua_CorrectedReflectance_TrueColor',\n",
        " 'MODIS_Aqua_Data_No_Data',\n",
        " 'MODIS_Aqua_Land_Surface_Temp_Day',\n",
        " 'MODIS_Aqua_Land_Surface_Temp_Night',\n",
        " 'MODIS_Aqua_Sea_Ice',\n",
        " 'MODIS_Aqua_Snow_Cover',\n",
        " 'MODIS_Aqua_SurfaceReflectance_Bands121',\n",
        " 'MODIS_Aqua_SurfaceReflectance_Bands143',\n",
        " 'MODIS_Aqua_SurfaceReflectance_Bands721',\n",
        " 'MODIS_Aqua_Water_Vapor_5km_Day',\n",
        " 'MODIS_Aqua_Water_Vapor_5km_Night',\n",
        " 'MODIS_Combined_Value_Added_AOD',\n",
        " 'MODIS_Terra_Aerosol',\n",
        " 'MODIS_Terra_Brightness_Temp_Band31_Day',\n",
        " 'MODIS_Terra_Brightness_Temp_Band31_Night',\n",
        " 'MODIS_Terra_Chlorophyll_A',\n",
        " 'MODIS_Terra_Cloud_Top_Pressure_Day',\n",
        " 'MODIS_Terra_Cloud_Top_Pressure_Night',\n",
        " 'MODIS_Terra_Cloud_Top_Temp_Day',\n",
        " 'MODIS_Terra_Cloud_Top_Temp_Night',\n",
        " 'MODIS_Terra_CorrectedReflectance_Bands367',\n",
        " 'MODIS_Terra_CorrectedReflectance_Bands721',\n",
        " 'MODIS_Terra_CorrectedReflectance_TrueColor',\n",
        " 'MODIS_Terra_Data_No_Data',\n",
        " 'MODIS_Terra_Land_Surface_Temp_Day',\n",
        " 'MODIS_Terra_Land_Surface_Temp_Night',\n",
        " 'MODIS_Terra_Sea_Ice',\n",
        " 'MODIS_Terra_Snow_Cover',\n",
        " 'MODIS_Terra_SurfaceReflectance_Bands121',\n",
        " 'MODIS_Terra_SurfaceReflectance_Bands143',\n",
        " 'MODIS_Terra_SurfaceReflectance_Bands721',\n",
        " 'MODIS_Terra_Water_Vapor_5km_Day',\n",
        " 'MODIS_Terra_Water_Vapor_5km_Night',\n",
        " 'MODIS_Water_Mask',\n",
        " 'OMI_Absorbing_Aerosol_Optical_Depth',\n",
        " 'OMI_Aerosol_Index',\n",
        " 'OMI_Aerosol_Optical_Depth',\n",
        " 'OMI_Cloud_Pressure',\n",
        " 'OMI_SO2_Lower_Troposphere',\n",
        " 'OMI_SO2_Middle_Troposphere',\n",
        " 'OMI_SO2_Planetary_Boundary_Layer',\n",
        " 'OMI_SO2_Upper_Troposphere_and_Stratosphere',\n",
        " 'Sea_Surface_Temp_Blended',\n",
        " 'Sea_Surface_Temp_Infrared',\n",
        " 'Sea_Surface_Temp_Microwave',\n",
        " 'VIIRS_CityLights_2012']"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tile = wmts.gettile(layer='MODIS_Terra_CorrectedReflectance_TrueColor', tilematrixset='EPSG4326_250m', tilematrix='0', row=0, column=0, format=\"image/jpeg\")\n",
      "out = open('nasa_modis_terra_truecolour.jpg', 'wb')\n",
      "out.write(tile.read())\n",
      "out.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cd /usgs/data2/notebook"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "/usgs/data2/notebook\n"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "a=imread('nasa_modis_terra_truecolour.jpg')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "imshow(a)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "<matplotlib.image.AxesImage at 0x3de3050>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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qJTIph3w2Sz6XJQh9ms0m6XQaz1csSNAJgxgNk3arlfR7pLk1t0q10uHJp1/k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\nPFV9SvwAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x3a12110>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from owslib.wmts import WebMapTileService\n",
      "endpoint='https://services.digitalglobe.com/earthservice/wmtsaccess?connectid=1ad41a7a-2a21-4221-b524-94aa6b63cdf4'\n",
      "wmts = WebMapTileService(endpoint)\n",
      "print wmts.identification.type\n",
      "print wmts.identification.version\n",
      "print wmts.identification.title\n",
      "print wmts.identification.keywords"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "OGC WMTS\n",
        "1.0.0\n",
        "DigitalGlobe Web Map Tile Service\n",
        "[]\n"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sorted(list(wmts.contents))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 26,
       "text": [
        "['DigitalGlobe:CrisisEventTileService', 'DigitalGlobe:ImageryTileService']"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "tile = wmts.gettile(layer='DigitalGlobe:ImageryTileService', tilematrixset='EPSG4326_250m', tilematrix='0', row=0, column=0, format=\"image/jpeg\")\n",
      "out = open('digitalglobe.jpg', 'wb')\n",
      "out.write(tile.read())\n",
      "out.close()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "HTTPError",
       "evalue": "HTTP Error 500: Internal Server Error",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mHTTPError\u001b[0m                                 Traceback (most recent call last)",
        "\u001b[1;32m<ipython-input-29-97a91330a1ef>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mtile\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mwmts\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgettile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlayer\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'DigitalGlobe:ImageryTileService'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtilematrixset\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'EPSG4326_250m'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtilematrix\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'0'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrow\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumn\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m\"image/jpeg\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mout\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'digitalglobe.jpg'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'wb'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mout\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtile\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mout\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;32m/home/local/python27_epd/lib/python2.7/site-packages/owslib/wmts.pyc\u001b[0m in \u001b[0;36mgettile\u001b[1;34m(self, base_url, layer, style, format, tilematrixset, tilematrix, row, column)\u001b[0m\n\u001b[0;32m    209\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mbase_url\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    210\u001b[0m             \u001b[0mbase_url\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetOperationByName\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'GetTile'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmethods\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Get'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'url'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 211\u001b[1;33m         \u001b[0mu\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mopenURL\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbase_url\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0musername\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0musername\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpassword\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpassword\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    212\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    213\u001b[0m         \u001b[1;31m# check for service exceptions, and return\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;32m/home/local/python27_epd/lib/python2.7/site-packages/owslib/util.pyc\u001b[0m in \u001b[0;36mopenURL\u001b[1;34m(url_base, data, method, cookies, username, password, timeout)\u001b[0m\n\u001b[0;32m    158\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mServiceException\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    159\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 160\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    161\u001b[0m     \u001b[1;31m# check for service exceptions without the http header set\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    162\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mu\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mhas_key\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Content-Type'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mand\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mu\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minfo\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'Content-Type'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32min\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;34m'text/xml'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'application/xml'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;31mHTTPError\u001b[0m: HTTP Error 500: Internal Server Error"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}