SortReview.ipynb

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    "#### PYT-DS SAISOFT\n",
    "\n",
    "<a data-flickr-embed=\"true\"  href=\"https://www.flickr.com/photos/kirbyurner/27963484878/in/album-72157693427665102/\" title=\"Barry at Large\"><img src=\"https://farm1.staticflickr.com/969/27963484878_b38f0db42a_m.jpg\" width=\"240\" height=\"180\" alt=\"Barry at Large\"></a><script async src=\"//embedr.flickr.com/assets/client-code.js\" charset=\"utf-8\"></script>\n",
    "\n",
    "# DATA SCIENCE WITH PYTHON\n",
    "\n",
    "### FROM A FAMOUS TUTORIAL\n",
    "\n",
    "From Chris Fonnesbeck's Advanced Statistical Computing open Github course material for his Vanderbilt University course [Bios8366](https://github.com/fonnesbeck/Bios8366).\n",
    "\n",
    "I've seen this stash recommended in articles designed to steer us towards the best materials.  I appreciate such guidance and pass on what to me seems on target."
   ]
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  {
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   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
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   },
   "outputs": [],
   "source": [
    "url = (\"https://raw.githubusercontent.com/fonnesbeck/Bios8366/\"\n",
    "       \"master/data/microbiome.csv\")"
   ]
  },
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   "source": [
    "bacteria = pd.read_csv(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "bacteria.head()"
   ]
  },
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   "source": []
  },
  {
   "cell_type": "code",
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   "source": [
    "bacteria.set_index(['Taxon', 'Patient'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bacteria"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "bacteria.sort_values(by=\"Tissue\", axis=0)"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### LAB:\n",
    "\n",
    "Sort in patient order how?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "collapsed": true
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   "source": []
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