adamsteer/WCS_NCSS_NCI_cheatsheet.ipynb

## WCS_NCSS_NCI_cheatsheet.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data retrieval using WCS and NCSS at NCI\n",
    "\n",
    "### Trainers\n",
    "- Dr Adam Steer (author and facilitator)\n",
    "- Dr Nigel Rees\n",
    "- Dr Jingbo Wang\n",
    "\n",
    "### Aims:\n",
    "Students should leave with an understanding of how to:\n",
    "\n",
    "*1. Access data from NCI remotely using a web coverage service request*\n",

    "- directly in a web browser or programmatic web request\n",
    "- using Python's OWSlib\n",
    "\n",
    "*2. Access data remotely using the NetCDF subset service*\n",

    "- directly in a web browser or programmatic request\n",
    "- using Python's Siphon library\n",
    "\n",
    "### Assumptions:\n",
    "1. Some familiarity with Python 3 and the Jupyter environment\n",
    "2. Some familiarity with netCDF files\n",
    "3. Students have been provided NCI materials on data discovery\n",
    "\n",
    "##### Caution - Most of NCI's example notebooks are developed using Python 2. This is a Python 3 environment - if in doubt about some aspect of the code please ask\n",
    "\n",
    "### Extras\n",
    "- we plot data on basemaps with matplotlib's basemap toolkit\n",
    "- we look at some numpy array operations\n",
    "- ...and do some indexing tricks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# first, let's set up some basic libraries we need for the exercise. More specific software will be pulled in later\n",
    "\n",
    "# we need matplotlib later to draw some pictures, let's import it now\n",
    "from mpl_toolkits.basemap import Basemap\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "#this is a Jupyter cell magic, which tells the notebook to draw plots in a notebook cell\n",
    "%matplotlib  inline\n",
    "\n",
    "#the next two modules let us stream data from a binary blob into a numpy array\n",
    "# so that we can visualise data without saving and reopening a file.\n",
    "\n",
    "#note - if you do this at home, you need to install pillow (an imaging library) to use scipy.misc\n",
    "\n",
    "from scipy.misc import imread\n",
    "import io"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task: extracting a data subset from a massive file - ocean colour, 15.65gb\n",
    "\n",
    "We want to grab ocean colour in a small region off the east coast of Australia (say, the coast of Victoria), but we don't want to download the whole 15gb file to do that. Here is our dataset in the NCI THREDDS catalogue:\n",
    "\n",
    "http://dapds00.nci.org.au/thredds/catalog/u39/public/data/modis/oc.stacked/v201503/catalog.html\n",
    "\n",
    "We'll use two different services - Web Coverage Service and the NetCDF Subset Service to get some data.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Web Coverage Service\n",
    "\n",
    "Required libraries:\n",
    "- OWSlib\n",
    "- matplotlib\n",
    "- scipy\n",
    "- numpy\n",
    "- io\n",
    "\n",
    "Reference notebooks:\n",
    "\n",
    "- https://github.com/nci/nci-notebooks/blob/master/Data_Access/Using_Thredds/THREDDS_WMS_WCS.ipynb\n",
    "- https://github.com/nci/Data-Intensive-Workshop-Nov-2016/blob/master/01_Data_Services/THREDDS_WCS.ipynb\n",
    "\n",
    "This example is based on material here: https://github.com/geopython/OWSLib/blob/master/examples/wcs-thredds-prism.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import OWSlib - a library for handling many types of OGC web service requests\n",
    "\n",
    "from owslib.wcs import WebCoverageService"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create WCS object - here, we add a URL to the data source\n",
    "\n",
    "wcs = WebCoverageService('http://dapds00.nci.org.au/thredds/wcs/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc?')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### We might not know what is in our data - how can we find out?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'chl_oc3': <owslib.coverage.wcs100.ContentMetadata object at 0x1182a2278>, 'l2_flags': <owslib.coverage.wcs100.ContentMetadata object at 0x1182a2668>}\n"
     ]
    }
   ],
   "source": [
    "# What's in our object? what layers are available?\n",
    "\n",
    "print(wcs.contents)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see two available layers - 'chl_oc3' and 'l2 flags'. Since we are after ocean colour and not QA flags, let's proceed with 'chl_oc3'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create an OWSlib object using out chosen layer, and call it something we can remember\n",
    "\n",
    "oceancolour = wcs['chl_oc3']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['__class__',\n",
       " '__delattr__',\n",
       " '__dict__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__init__',\n",
       " '__le__',\n",
       " '__lt__',\n",
       " '__module__',\n",
       " '__ne__',\n",
       " '__new__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__setattr__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__subclasshook__',\n",
       " '__weakref__',\n",
       " '_elem',\n",
       " '_getAxisDescriptionsProperty',\n",
       " '_getGrid',\n",
       " '_getOtherBoundingBoxes',\n",
       " '_getSupportedCRSProperty',\n",
       " '_getSupportedFormatsProperty',\n",
       " '_getTimeLimits',\n",
       " '_getTimePositions',\n",
       " '_service',\n",
       " 'abstract',\n",
       " 'axisDescriptions',\n",
       " 'boundingBox',\n",
       " 'boundingBoxWGS84',\n",
       " 'boundingboxes',\n",
       " 'crsOptions',\n",
       " 'defaulttimeposition',\n",
       " 'grid',\n",
       " 'id',\n",
       " 'keywords',\n",
       " 'styles',\n",
       " 'supportedCRS',\n",
       " 'supportedFormats',\n",
       " 'timelimits',\n",
       " 'timepositions',\n",
       " 'title']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 'dir()' tells us what attributes are available to our object. Looking at the list of items without preceding underscores,\n",
    "# we can find out some stuff about our layer\n",
    "\n",
    "dir(oceancolour)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['GeoTIFF', 'GeoTIFF_Float', 'NetCDF3']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what can we download parts of our file as?\n",
    "\n",
    "oceancolour.supportedFormats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(80.0, -60.0, 180.0, 10.0)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what is the geospatial boundary of our file?\n",
    "# question to ponder - why are no other bounding boxes defined?\n",
    "\n",
    "oceancolour.boundingBoxWGS84"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['2015-01-01T00:00:00Z', '2015-05-04T00:00:00Z']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what are the temporal bounds of our file?\n",
    "\n",
    "oceancolour.timelimits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2015-01-01T00:00:00Z', '2015-01-02T00:00:00Z', '2015-01-03T00:00:00Z', '2015-01-04T00:00:00Z', '2015-01-05T00:00:00Z', '2015-01-06T00:00:00Z', '2015-01-07T00:00:00Z', '2015-01-08T00:00:00Z', '2015-01-09T00:00:00Z', '2015-01-10T00:00:00Z', '2015-01-11T00:00:00Z', '2015-01-12T00:00:00Z', '2015-01-13T00:00:00Z', '2015-01-14T00:00:00Z', '2015-01-15T00:00:00Z', '2015-01-16T00:00:00Z', '2015-01-17T00:00:00Z', '2015-01-18T00:00:00Z', '2015-01-19T00:00:00Z', '2015-01-20T00:00:00Z', '2015-01-21T00:00:00Z', '2015-01-22T00:00:00Z', '2015-01-23T00:00:00Z', '2015-01-24T00:00:00Z', '2015-01-25T00:00:00Z', '2015-01-26T00:00:00Z', '2015-01-27T00:00:00Z', '2015-01-28T00:00:00Z', '2015-01-29T00:00:00Z', '2015-01-30T00:00:00Z', '2015-01-31T00:00:00Z', '2015-02-01T00:00:00Z', '2015-02-02T00:00:00Z', '2015-02-03T00:00:00Z', '2015-02-04T00:00:00Z', '2015-02-05T00:00:00Z', '2015-02-06T00:00:00Z', '2015-02-07T00:00:00Z', '2015-02-08T00:00:00Z', '2015-02-09T00:00:00Z', '2015-02-10T00:00:00Z', '2015-02-11T00:00:00Z', '2015-02-12T00:00:00Z', '2015-02-13T00:00:00Z', '2015-02-14T00:00:00Z', '2015-02-15T00:00:00Z', '2015-02-16T00:00:00Z', '2015-02-17T00:00:00Z', '2015-02-18T00:00:00Z', '2015-02-19T00:00:00Z', '2015-02-20T00:00:00Z', '2015-02-21T00:00:00Z', '2015-02-22T00:00:00Z', '2015-02-23T00:00:00Z', '2015-02-24T00:00:00Z', '2015-02-25T00:00:00Z', '2015-02-26T00:00:00Z', '2015-02-27T00:00:00Z', '2015-02-28T00:00:00Z', '2015-03-01T00:00:00Z', '2015-03-02T00:00:00Z', '2015-03-03T00:00:00Z', '2015-03-04T00:00:00Z', '2015-03-05T00:00:00Z', '2015-03-06T00:00:00Z', '2015-03-07T00:00:00Z', '2015-03-08T00:00:00Z', '2015-03-09T00:00:00Z', '2015-03-10T00:00:00Z', '2015-03-11T00:00:00Z', '2015-03-12T00:00:00Z', '2015-03-13T00:00:00Z', '2015-03-14T00:00:00Z', '2015-03-15T00:00:00Z', '2015-03-16T00:00:00Z', '2015-03-17T00:00:00Z', '2015-03-18T00:00:00Z', '2015-03-19T00:00:00Z', '2015-03-20T00:00:00Z', '2015-03-21T00:00:00Z', '2015-03-22T00:00:00Z', '2015-03-23T00:00:00Z', '2015-03-24T00:00:00Z', '2015-03-25T00:00:00Z', '2015-03-26T00:00:00Z', '2015-03-27T00:00:00Z', '2015-03-28T00:00:00Z', '2015-03-29T00:00:00Z', '2015-03-30T00:00:00Z', '2015-03-31T00:00:00Z', '2015-04-01T00:00:00Z', '2015-04-02T00:00:00Z', '2015-04-03T00:00:00Z', '2015-04-04T00:00:00Z', '2015-04-05T00:00:00Z', '2015-04-06T00:00:00Z', '2015-04-07T00:00:00Z', '2015-04-08T00:00:00Z', '2015-04-09T00:00:00Z', '2015-04-10T00:00:00Z', '2015-04-11T00:00:00Z', '2015-04-12T00:00:00Z', '2015-04-13T00:00:00Z', '2015-04-14T00:00:00Z', '2015-04-15T00:00:00Z', '2015-04-16T00:00:00Z', '2015-04-17T00:00:00Z', '2015-04-18T00:00:00Z', '2015-04-19T00:00:00Z', '2015-04-20T00:00:00Z', '2015-04-21T00:00:00Z', '2015-04-22T00:00:00Z', '2015-04-23T00:00:00Z', '2015-04-24T00:00:00Z', '2015-04-25T00:00:00Z', '2015-04-26T00:00:00Z', '2015-04-27T00:00:00Z', '2015-04-28T00:00:00Z', '2015-04-29T00:00:00Z', '2015-04-30T00:00:00Z', '2015-05-01T00:00:00Z', '2015-05-02T00:00:00Z', '2015-05-03T00:00:00Z', '2015-05-04T00:00:00Z']\n"
     ]
    }
   ],
   "source": [
    "# what are our time slices?\n",
    "\n",
    "print(oceancolour.timepositions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[urn:ogc:def:crs:EPSG::, urn:ogc:def:crs:::-1]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oceancolour.supportedCRS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now we know enough to build a query and get some data:\n",
    "- spatial and temporal boundaries\n",
    "- available file formats\n",
    "- CRS information is *not* available, let's try WGS84 (EPSG 4326, OGC:CRS84)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get some data!\n",
    "# here we choose a layer (identifier), a timestamp from the list above, a bounding box inside the data domain, and an output format.\n",
    "# for THREDDS, choosing 'GeoTIFF' gets you data scaled to the range 0-255. 'GeoTIFF_Float' gets you unscaled data.\n",
    "\n",
    "mychunkofocean=wcs.getCoverage(identifier='chl_oc3',\n",
    "                               time=['2015-01-31T00:00:00Z'],\n",
    "                               bbox=(150,-36.5,155,-32),\n",
    "                               format='GeoTIFF_Float',\n",
    "                               crs='OGC:CRS84')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'http://dapds00.nci.org.au/thredds/wcs/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc?Coverage=chl_oc3&service=WCS&crs=OGC%3ACRS84&time=2015-01-31T00%3A00%3A00Z&version=1.0.0&BBox=150%2C-36.5%2C155%2C-32&request=GetCoverage&format=GeoTIFF_Float'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#show what our URL would look like - try this in a web browser, you should get a geotiff file!\n",
    "\n",
    "mychunkofocean.geturl()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'http://dapds00.nci.org.au/thredds/wcs/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc?Coverage=chl_oc3&service=WCS&crs=OGC:CRS84&time=2015-01-31T00:00:00Z&version=1.0.0&BBox=150,-36.5,155,-32&request=GetCoverage&format=GeoTIFF_Float'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# lets make that pretty - remove all the escaped characters.\n",
    "\n",
    "from urllib import parse\n",
    "parse.unquote(mychunkofocean.geturl())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Try pasting the URL above into a web browser - or modifying any of the parameters to see what you get\n",
    "\n",
    "note - the image will not display, it will download to your current working directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data subset size: 0.86 mb\n"
     ]
    }
   ],
   "source": [
    "#visualise the data - we don't want to download the geotiff here, we can dump it straight into a numpy array\n",
    "# here we read the binary stream from our WCS request into a numpy array\n",
    "\n",
    "oceancolour_array = imread(io.BytesIO(mychunkofocean.read()),'rb')\n",
    "\n",
    "print('data subset size: {:.2f} mb'.format(oceancolour_array.nbytes/(1024*1024)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#make all our nodata values into NaNs for plotting\n",
    "\n",
    "oceancolour_array[oceancolour_array < 0.0] = np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(451, 501)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(oceancolour_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x11981be48>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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fufEUpp5yY1IGG+JYG/q6KAZ9ZRxbbDmCnv0H0LVHLxrWrOK1q+9i4s9Pr+oo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\n1FQJYFbwVWrfCrsWQK2KJ8J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myy/iljUnECQMkEIh3Su7b15mKLhvpMzWvE/nvbdhr/lg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\nVs5T8oKU8p6TlhWoxoi8HI0VNZSx7I6e22xQs5grtqmWTP4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1OSiTpZT7B5smBhbwSHDv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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1182c86a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# and use matplotlib to show it!\n",
    "\n",
    "###question - why are we using np.flipud? what is it doing to the data?\n",
    "\n",
    "m = Basemap(projection='merc',\n",
    "            llcrnrlat=-36.5,\n",
    "            urcrnrlat=-32,\n",
    "            llcrnrlon=150,\n",
    "            urcrnrlon=155,\n",
    "            lat_0=-40,\n",
    "            lon_0=145,\n",
    "            resolution=\"l\")\n",
    "\n",
    "m.shadedrelief(scale=0.2)\n",
    "m.drawcoastlines(linewidth=0.3)\n",
    "\n",
    "m.imshow(np.flipud(oceancolour_array), cmap=plt.get_cmap('viridis'), vmin=0, vmax=2.5)\n",
    "m.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# after all that, we can still write out a geotiff - since we have not modified the original request content!\n",
    "# Write the file out to disk if you like, or are using this notebook on your own computer\n",
    "\n",
    "f=open('mychunkofocean.tif','wb')\n",
    "f.write(mychunkofocean.read())\n",
    "f.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "###cleanup\n",
    "\n",
    "oceancolour_array = None\n",
    "mychunkofocean = None\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### WCS summary\n",
    "\n",
    "In this section we showed how to build a Web Coverage Service request using data held as NetCDF files at NCI. The reference notebook 'THREDDS_WMS_WCS.ipynb' shows in detail how to construct URLs and what all the components mean. Here, we used a Python library as a convenient tool to get data (1.15 mb from a 15 gb file) for a specific time and region, then do a quick visualisation in an interactive notebook without writing any files out.\n",
    "\n",
    "If you're racing ahead, pick some other NCI data examples and try the same process. See what you come up with!\n",
    "\n",
    "###### GDAL and cartopy are also available in this environment - can you make a prettier map?\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. NetCDF subset service and Siphon\n",
    "\n",
    "Required libraries:\n",
    "- netCDF4\n",
    "- Siphon\n",
    "- numpy\n",
    "- matplotlib\n",
    "- datetime\n",
    "\n",
    "Reference notebooks:\n",
    "\n",
    "- https://github.com/nci/nci-notebooks/blob/master/Data_Access/Using_Thredds/THREDDS_DataAccess.ipynb\n",
    "- https://github.com/nci/nci-notebooks/blob/master/Data_Access/Using_Siphon/Python_Siphon_II.ipynb\n",
    "- https://github.com/nci/Data-Intensive-Workshop-Nov-2016/blob/master/01_Data_Services/NetcdfSubset_Examples.ipynb\n",
    "\n",
    "This material is mainly based on the notebook https://github.com/nci/nci-notebooks/blob/master/Data_Access/Using_Siphon/Python_Siphon_II.ipynb and material here: https://unidata.github.io/siphon/examples/ncss/NCSS_Example.html#sphx-glr-examples-ncss-ncss-example-py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from netCDF4 import Dataset\n",
    "from siphon import catalog, ncss\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "#choose a dataset - we'll use ocean colour again\n",
    "\n",
    "url = 'http://dapds00.nci.org.au/thredds/catalog/u39/public/data/modis/oc.stacked/v201503/catalog.xml'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create a siphon thredds catalog object\n",
    "\n",
    "tds = catalog.TDSCatalog(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#get a list of dataset objects from the catalog object\n",
    "\n",
    "datasets = list(tds.datasets.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#get a list of the names of dataset objects\n",
    "\n",
    "datasetnames = list(tds.datasets.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['chl_oc3.2002.nc',\n",
       " 'chl_oc3.2003.nc',\n",
       " 'chl_oc3.2004.nc',\n",
       " 'chl_oc3.2005.nc',\n",
       " 'chl_oc3.2006.nc',\n",
       " 'chl_oc3.2007.nc',\n",
       " 'chl_oc3.2008.nc',\n",
       " 'chl_oc3.2009.nc',\n",
       " 'chl_oc3.2010.nc',\n",
       " 'chl_oc3.2011.nc',\n",
       " 'chl_oc3.2012.nc',\n",
       " 'chl_oc3.2013.nc',\n",
       " 'chl_oc3.2014.nc',\n",
       " 'chl_oc3.2015.nc',\n",
       " 'owtd.2002.nc',\n",
       " 'owtd.2003.nc',\n",
       " 'owtd.2004.nc',\n",
       " 'owtd.2005.nc',\n",
       " 'owtd.2006.nc',\n",
       " 'owtd.2007.nc',\n",
       " 'owtd.2008.nc',\n",
       " 'owtd.2009.nc',\n",
       " 'owtd.2010.nc',\n",
       " 'owtd.2011.nc',\n",
       " 'owtd.2012.nc',\n",
       " 'owtd.2013.nc',\n",
       " 'owtd.2014.nc',\n",
       " 'owtd.2015.nc']"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show the datasets\n",
    "\n",
    "datasetnames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# we will cheat madly and just count down the list to find the dataset we want - in this case ocean colour for 2015, \n",
    "# which is dataset number 14.\n",
    "# since python is 0-indexed, we need dataset index 13. This could be automated, eg search the name list for 'oc3.2015' and use its index here.\n",
    "\n",
    "oc_2015 = datasets[13]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'ISO': 'http://dapds00.nci.org.au/thredds/iso/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc', 'NetcdfSubset': 'http://dapds00.nci.org.au/thredds/ncss/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc', 'OPENDAP': 'http://dapds00.nci.org.au/thredds/dodsC/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc', 'WCS': 'http://dapds00.nci.org.au/thredds/wcs/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc', 'WMS': 'http://dapds00.nci.org.au/thredds/wms/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc', 'UDDC': 'http://dapds00.nci.org.au/thredds/uddc/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc', 'NCML': 'http://dapds00.nci.org.au/thredds/ncml/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc', 'HTTPServer': 'http://dapds00.nci.org.au/thredds/fileServer/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc'}\n"
     ]
    }
   ],
   "source": [
    "#so, for our desired dataset, what are it's access urls?\n",
    "\n",
    "print(oc_2015.access_urls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# out of all those, let's use the NetcdfSubset URL to create a ncss object\n",
    "\n",
    "ncss_oc2015 = ncss.NCSS(oc_2015.access_urls['NetcdfSubset'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Now we have a dataset of choice, how can we find out more about it before we request data?\n",
    "\n",
    "The next few cells are more or less executing various netCDF metadata queries and returning the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'chl_oc3': {'attributes': {'_ChunkSizes': [16, 512, 512],\n",
       "   '_FillValue': [-999.0],\n",
       "   'long_name': 'Chlorophyll Concentration, OC3 Algorithm',\n",
       "   'units': 'mg/m^3'},\n",
       "  'desc': 'Chlorophyll Concentration, OC3 Algorithm',\n",
       "  'shape': 'time latitude longitude',\n",
       "  'type': 'float'},\n",
       " 'l2_flags': {'attributes': {'_ChunkSizes': [16, 512, 512],\n",
       "   '_FillValue': [-1],\n",
       "   'flag_masks': [1,\n",
       "    2,\n",
       "    4,\n",
       "    8,\n",
       "    16,\n",
       "    32,\n",
       "    64,\n",
       "    128,\n",
       "    256,\n",
       "    512,\n",
       "    1024,\n",
       "    2048,\n",
       "    4096,\n",
       "    8192,\n",
       "    16384,\n",
       "    32768,\n",
       "    65536,\n",
       "    131072,\n",
       "    262144,\n",
       "    524288,\n",
       "    1048576,\n",
       "    2097152,\n",
       "    4194304,\n",
       "    8388608,\n",
       "    16777216,\n",
       "    33554432,\n",
       "    67108864,\n",
       "    134217728,\n",
       "    268435456,\n",
       "    536870912,\n",
       "    1073741824,\n",
       "    -2147483648],\n",
       "   'flag_meanings': 'ATMFAIL LAND PRODWARN HIGLINT HILT HISATZEN COASTZ SPARE STRAYLIGHT CLDICE COCCOLITH TURBIDW HISOLZEN SPARE LOWLW CHLFAIL NAVWARN ABSAER SPARE MAXAERITER MODGLINT CHLWARN ATMWARN SPARE SEAICE NAVFAIL FILTER SSTWARN SSTFAIL HIPOL PRODFAIL SPARE',\n",
       "   'long_name': 'Level-2 Processing Flags',\n",
       "   'units': 'dimensionless'},\n",
       "  'desc': 'Level-2 Processing Flags',\n",
       "  'shape': 'time latitude longitude',\n",
       "  'type': 'int'}}"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now, let's see what is in our file - what variables does it contain (this is a bit like doing ncdump -h)\n",
    "\n",
    "ncss_oc2015.metadata.variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'latitude': {'attributes': [{'long_name': 'latitude'},\n",
       "   {'standard_name': 'latitude'},\n",
       "   {'units': 'degrees_north'},\n",
       "   {'axis': 'Y'},\n",
       "   {'_CoordinateAxisType': 'Lat'},\n",
       "   {'values': [10.0,\n",
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       "     78643.0,\n",
       "     78644.0,\n",
       "     78645.0,\n",
       "     78646.0,\n",
       "     78647.0,\n",
       "     78648.0,\n",
       "     78649.0,\n",
       "     78650.0]}],\n",
       "  'axisType': 'Time',\n",
       "  'shape': [124],\n",
       "  'type': 'double'}}"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#what are the axes of our variable(s)\n",
    "\n",
    "ncss_oc2015.metadata.axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'east': 180.0, 'north': 10.0, 'south': -60.0, 'west': 80.0}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what is our spatial coverage?\n",
    "\n",
    "ncss_oc2015.metadata.lat_lon_box"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'begin': '2015-01-01T00:00:00Z', 'end': '2015-05-04T00:00:00Z'}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what is the time span?\n",
    "\n",
    "ncss_oc2015.metadata.time_span"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Now that we know something about the data, we can construct a request to get part of it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Now construct a netCDFsubset query object\n",
    "\n",
    "query = ncss_oc2015.query()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "var=chl_oc3&time_end=2015-05-01&time_start=2015-01-01&west=150&north=-32&south=-36.5&east=155"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# and add attributes to it...\n",
    "\n",
    "# spatial bounds (note different coordinate order to WCS)\n",
    "bbox = (150, 155, -36.5, -32)\n",
    "query.lonlat_box(north=bbox[3],south=bbox[2],east=bbox[1],west=bbox[0])\n",
    "\n",
    "# variable of interest\n",
    "query.variables('chl_oc3')\n",
    "\n",
    "#temporal range - new for NCSS! In WCS we could select one time slice.\n",
    "\n",
    "query.time_range(datetime.date(year=2015, month=1, day=1), datetime.date(year=2015, month=5, day=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "#now we download actual data - until now we have only looked at metadata and have not retrieved anything!\n",
    "\n",
    "data = ncss_oc2015.get_data(query)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<class 'netCDF4._netCDF4.Dataset'>\n",
       "root group (NETCDF3_CLASSIC data model, file format NETCDF3):\n",
       "    history: Wed Mar 18 22:55:18 2015: ncks -A -v l2_flags -o A20150101.L2OC_BASE.aust.chl_oc3.nc A20150101.L2OC_BASE.aust.l2_flags.nc\n",
       "File initialised at 2015-03-18T11:53:15.670325\n",
       "Initialised var chl_oc3 at 2015-03-18T11:53:16.017049\n",
       "Add Granule A20150101_0210.20150316142050.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:18.432770\n",
       "Add Granule A20150101_0215.20150316143341.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:19.107349\n",
       "Add Granule A20150101_0335.20150316151447.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:19.452746\n",
       "Add Granule A20150101_0340.20150316152102.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:20.436335\n",
       "Add Granule A20150101_0345.20150316153936.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:21.341270\n",
       "Add Granule A20150101_0350.20150316141359.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:22.144434\n",
       "Add Granule A20150101_0355.20150316145923.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:22.885963\n",
       "Add Granule A20150101_0515.20150316144249.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:23.651664\n",
       "Add Granule A20150101_0520.20150316145227.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:24.968281\n",
       "Add Granule A20150101_0525.20150316144800.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:25.741572\n",
       "Add Granule A20150101_0530.20150316143759.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:26.484209\n",
       "Add Granule A20150101_0535.20150316142804.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:27.058705\n",
       "Add Granule A20150101_0655.20150316140224.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:27.857541\n",
       "Add Granule A20150101_0700.20150316140833.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:28.712940\n",
       "Add Granule A20150101_0705.20150316150916.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:29.513529\n",
       "Add Granule A20150101_0710.20150316152916.L2OC_BASE.chl_oc3.nc at 2015-03-18T11:53:30.321751\n",
       "    NCO: 4.3.8\n",
       "    date_created: 20150507021625z\n",
       "    start_time: 20150101000000z\n",
       "    stop_time: 20150504000000z\n",
       "    time_coverage_start: 20150101000000z\n",
       "    time_coverage_end: 20150504000000z\n",
       "    uuid: 9b3e5439-57fa-44ac-86f4-cbee626d8417\n",
       "    Conventions: CF-1.0\n",
       "    History: Translated to CF-1.0 Conventions by Netcdf-Java CDM (CFGridWriter2)\n",
       "Original Dataset = /g/data/u39/public/data/modis/oc.stacked/v201503/chl_oc3.2015.nc; Translation Date = 2017-09-08T02:14:58.733Z\n",
       "    geospatial_lat_min: -36.5\n",
       "    geospatial_lat_max: -32.0\n",
       "    geospatial_lon_min: 150.0\n",
       "    geospatial_lon_max: 155.0\n",
       "    dimensions(sizes): time(121), latitude(451), longitude(501)\n",
       "    variables(dimensions): float32 \u001b[4mchl_oc3\u001b[0m(time,latitude,longitude), float64 \u001b[4mtime\u001b[0m(time), float64 \u001b[4mlatitude\u001b[0m(latitude), float64 \u001b[4mlongitude\u001b[0m(longitude)\n",
       "    groups: "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#what does our returned object look like?\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 78527.,  78528.,  78529.,  78530.,  78531.,  78532.,  78533.,\n",
       "        78534.,  78535.,  78536.,  78537.,  78538.,  78539.,  78540.,\n",
       "        78541.,  78542.,  78543.,  78544.,  78545.,  78546.,  78547.,\n",
       "        78548.,  78549.,  78550.,  78551.,  78552.,  78553.,  78554.,\n",
       "        78555.,  78556.,  78557.,  78558.,  78559.,  78560.,  78561.,\n",
       "        78562.,  78563.,  78564.,  78565.,  78566.,  78567.,  78568.,\n",
       "        78569.,  78570.,  78571.,  78572.,  78573.,  78574.,  78575.,\n",
       "        78576.,  78577.,  78578.,  78579.,  78580.,  78581.,  78582.,\n",
       "        78583.,  78584.,  78585.,  78586.,  78587.,  78588.,  78589.,\n",
       "        78590.,  78591.,  78592.,  78593.,  78594.,  78595.,  78596.,\n",
       "        78597.,  78598.,  78599.,  78600.,  78601.,  78602.,  78603.,\n",
       "        78604.,  78605.,  78606.,  78607.,  78608.,  78609.,  78610.,\n",
       "        78611.,  78612.,  78613.,  78614.,  78615.,  78616.,  78617.,\n",
       "        78618.,  78619.,  78620.,  78621.,  78622.,  78623.,  78624.,\n",
       "        78625.,  78626.,  78627.,  78628.,  78629.,  78630.,  78631.,\n",
       "        78632.,  78633.,  78634.,  78635.,  78636.,  78637.,  78638.,\n",
       "        78639.,  78640.,  78641.,  78642.,  78643.,  78644.,  78645.,\n",
       "        78646.,  78647.])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Siphon organises data into numpy arrays for us - so we can access it directly.\n",
    "\n",
    "# We also don't need to write out the result, just handle it in memory until we're satisfied that we want to write out a result to disk.\n",
    "\n",
    "data['time'][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-32.  , -32.01, -32.02, -32.03, -32.04, -32.05, -32.06, -32.07,\n",
       "       -32.08, -32.09, -32.1 , -32.11, -32.12, -32.13, -32.14, -32.15,\n",
       "       -32.16, -32.17, -32.18, -32.19, -32.2 , -32.21, -32.22, -32.23,\n",
       "       -32.24, -32.25, -32.26, -32.27, -32.28, -32.29, -32.3 , -32.31,\n",
       "       -32.32, -32.33, -32.34, -32.35, -32.36, -32.37, -32.38, -32.39,\n",
       "       -32.4 , -32.41, -32.42, -32.43, -32.44, -32.45, -32.46, -32.47,\n",
       "       -32.48, -32.49, -32.5 , -32.51, -32.52, -32.53, -32.54, -32.55,\n",
       "       -32.56, -32.57, -32.58, -32.59, -32.6 , -32.61, -32.62, -32.63,\n",
       "       -32.64, -32.65, -32.66, -32.67, -32.68, -32.69, -32.7 , -32.71,\n",
       "       -32.72, -32.73, -32.74, -32.75, -32.76, -32.77, -32.78, -32.79,\n",
       "       -32.8 , -32.81, -32.82, -32.83, -32.84, -32.85, -32.86, -32.87,\n",
       "       -32.88, -32.89, -32.9 , -32.91, -32.92, -32.93, -32.94, -32.95,\n",
       "       -32.96, -32.97, -32.98, -32.99])"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['latitude'][:100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f17a4069b00>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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"
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's see what ocean colour data we have here. Hopefully more than one time slice! let's take the first time slice\n",
    "\n",
    "#note - we still have our basemap object (m) from the WCS example. We recycle it here...\n",
    "\n",
    "m.shadedrelief(scale=0.2)\n",
    "m.drawcoastlines(linewidth=0.3)\n",
    "\n",
    "m.imshow(np.flipud(data['chl_oc3'][0,:,:]), cmap=plt.get_cmap('viridis'), vmin=0, vmax=2.5)\n",
    "m.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7fd46084b470>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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"
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#...and the next time slice...\n",
    "\n",
    "m.shadedrelief(scale=0.2)\n",
    "m.drawcoastlines(linewidth=0.3)\n",
    "\n",
    "m.imshow(np.flipud(data['chl_oc3'][1,:,:]), cmap=plt.get_cmap('viridis'), vmin=0, vmax=2.5)\n",
    "m.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7fd44b4adb00>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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"
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ...and yes we do! Here is ocean colour at another time. If we spent a bit more time we could make a prettier way to\n",
    "# query time - and then show a bunch of ocean colour plots with nice time labels. Feel free to do so!\n",
    "\n",
    "m.shadedrelief(scale=0.2)\n",
    "m.drawcoastlines(linewidth=0.3)\n",
    "\n",
    "m.imshow(np.flipud(data['chl_oc3'][2,:,:]), cmap=plt.get_cmap('viridis'), vmin=0, vmax=2.5)\n",
    "m.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data subset size: 104.29 mb\n"
     ]
    }
   ],
   "source": [
    "# one last question - how big is our data chunk? Lots bigger than the WCS version! But it does have 124 time steps...\n",
    "\n",
    "thedata = np.array(data['chl_oc3'])\n",
    "print('data subset size: {:.2f} mb'.format(thedata.nbytes/(1024*1024)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### NCSS summary\n",
    "\n",
    "We've shown here how to generate a programmatic request for data subsets using the NetCDF subset service available on NCI's THREDDS data server. We've also shown that we can visualise data subsets quickly and easily.\n",
    "\n",
    "#### How is NCSS different from WCS?\n",
    "\n",
    "NCSS primarily gives us the ability to pull n-dimensional data subsets. In the WCS example, we could grab a single time slice only. With NCSS we can create little blocks of data in 3 or more dimensions. Both are essentially lazy - the data can be queried before download. NCSS allows a little deeper interrogation than WCS since WCS has to not care about underlying data formatting, whereas NCSS is specifically designed to expose NetCDF file properties.\n",
    "\n",
    "#### Which is better for your task?\n",
    "\n",
    "That's your personal decision. Go forth and analyse!"
   ]
  }
 ],
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