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     "metadata": {},
     "source": [
      "Object Hunt Script"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%run NBCONFIG.ipynb"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Populating the interactive namespace from numpy and matplotlib\n"
       ]
      },
      {
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        "#notebook_panel { /* main background */\n",
        "    background: #333;\n",
        "    color: #f6f6f6;\n",
        "}\n",
        "\n",
        "\n",
        "div #notebook { /* centre the content */\n",
        "    background: #FFFFF0;  /* IVORY */\n",
        "    color: #333;\n",
        "    width: 115ex;\n",
        "    margin: auto;\n",
        "    padding-left: 1em;\n",
        "    padding-right: 1em;\n",
        "    padding-top: 2ex;\n",
        "}\n",
        "\n",
        "\n",
        "div.text_cell_render {  /*Markdown cells */\n",
        "    font-family: Computer Modern Roman;\n",
        "}\n",
        "\n",
        "/* remove big margins around title */\n",
        "div.text_cell_render.border-box-sizing.rendered_html {\n",
        "    margin: 0; /*What is this */\n",
        "    padding: 0.05; /*Spacing between cells*/ \n",
        "    margin-left: 1ex;\n",
        "}\n",
        "div.cell.text_cell.border-box-sizing {\n",
        "    margin: 0;\n",
        "    padding: 0.05; \n",
        "}\n",
        "\n",
        ".rendered_html h1 {\n",
        "    margin: 0;\n",
        "    padding: 0;\n",
        "}\n",
        ".rendered_html h2 {\n",
        "    margin: 0;\n",
        "    padding: 0;\n",
        "}\n",
        ".rendered_html h3 {\n",
        "    margin: 0;\n",
        "    padding: 0;\n",
        "}\n",
        "\n",
        "/* Width of all cells */\n",
        "div.cell { /* set cell width to about 80 chars */\n",
        "    width: 55em;\n",
        "\n",
        "}\n",
        "\n",
        "/* Set font of coding cells (DONT KNOW WHY BUT NEED THIS) */\n",
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        "    font-family: \"Sawasdee\", \"Lucida Sans Typewriter\",\"Lucida Typewriter\", \n",
        "         \"Lucida Typewriter\", \"Courier New\", Courier, monospace;;\n",
        "    font-size: normal;\n",
        "    font-weight: 700; \n",
        "}\n",
        "\n",
        "div.cell.code_cell { /* Total code cell, in and out */\n",
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        "    padding-top: 1ex;\n",
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        "\n",
        "div.input_area { /* box around box with code ??? */\n",
        "    border: none;\n",
        "    background: #f5f5f5;\n",
        "    border: 1px solid #fff;\n",
        "    border-radius: 10px;\n",
        "    padding-top: 0.5ex;\n",
        "    padding-bottom: 0.5ex;\n",
        "    padding-left: 0.5em;\n",
        "}\n",
        "\n",
        "div.input { /* box with code */\n",
        "}\n",
        "\n",
        "\n",
        "div.prompt { /* remove In/Out prompt */\n",
        "    display: none;\n",
        "}\n",
        "\n",
        "div.output_subarea { /* remove margin in front of output */\n",
        "    border: none;\n",
        "}\n",
        "\n",
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        "    /* draw red dotted border around running cells */\n",
        "    border: 3px dotted #f33;\n",
        "}\n",
        "\n",
        "/* header colours and fonts */\n",
        "h1 { color: #444; }\n",
        "h2 { color: #444; font-style: oblique}\n",
        "h3 { color: #0000A0; font-weight: normal}\n",
        "h4 { color: #444; font-weight: oblique; font-size: large}\n",
        "\n",
        "\n",
        "</style>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.HTML at 0x1910190>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Introduction"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "*pyparty* installs a script called **objecthunt**.  <font color='blue'>**The purpose of objecthunt is to separate color-labeled objects from an image, and output common statistics, plots and perform common pyparty operations.**</font>  This is best shown by example, so consider the pyparty test image, *test_labeled*:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pyparty.data import test_labeled\n",
      "\n",
      "REZ = (1000, 1024)\n",
      "IMAGE = test_labeled(REZ)\n",
      "imshow(IMAGE);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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        "L34.8875 11.9246\" style=\"fill:none;stroke:#000000;\"/>\n",
        "   </g>\n",
        "  </g>\n",
        " </g>\n",
        " <defs>\n",
        "  <clipPath id=\"p8c3857a462\">\n",
        "   <rect height=\"234.36\" width=\"228.8671875\" x=\"34.8875\" y=\"11.9246289063\"/>\n",
        "  </clipPath>\n",
        " </defs>\n",
        "</svg>\n"
       ],
       "text": [
        "<matplotlib.figure.Figure at 0x36d9fd0>"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "**objecthunt** will automate a series of common  *pyparty* [Canvas](http://nbviewer.ipython.org/github/hugadams/pyparty/blob/master/examples/Notebooks/basictests.ipynb?create=1) and [Multicanvas](http://nbviewer.ipython.org/github/hugadams/pyparty/blob/master/examples/Notebooks/multi_tutorial.ipynb?create=1) operations including:\n",
      "  \n",
      "   - Pie, Histograms and multiplots of the groups of particles\n",
      "   - Particle counts, statistics\n",
      "       - Includes attributes stats such as min, max and mean circularity of each group.\n",
      "   - Image conversions, Gray, Binary etc.. deconstructed by species.\n",
      "   \n",
      "All the various outputs will be discussed later in the *Configuration* section"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Getting started"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First, test that *objecthunt* is installed properly by typing:\n",
      "   - ``objecthunt - h``\n",
      "   \n",
      "This should output a [argparser](https://docs.python.org/dev/library/argparse.html) help message."
     ]
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": [
      "usage: objecthunt <image> <outdir> --options\n",
      "\n",
      "Measure and separate objects in image based on color.\n",
      "\n",
      "positional arguments:\n",
      "  image                  Path to image\n",
      "  out directory         Path to outdirectory\n",
      "\n",
      "optional arguments:\n",
      "  -h, --help            show this help message and exit\n",
      "  -c, --config         Path to config file. Defaults to \"./_configobjhunt.py\"\n",
      "  -p, --params        Overwrite configuration parameters manually (e.g.\n",
      "                          objecthunt <image> <outdir> -p ignore=black\n",
      "  -f, --force           Overwrite outdirectory if it exists. WARNING: this\n",
      "                          will remove entire directory tree!\n",
      "  --dpi                  Plotting resolution (dots per inch)\n",
      "  -v, --verbosity      Set screen logging. If no argument, defaults to info\n",
      "  -t, --trace            Show traceback on errors\n"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The only *positional* arguments are an **image** and an **out directory**.  <font color='green'>The default configuration is found in the config file in the pyparty/scripts/objecthunt folder</font> [view it here](https://github.com/hugadams/pyparty/blob/master/pyparty/scripts/objectmodeling/_configobjhunt.py).\n",
      "\n",
      "At this point, I have saved the cropped test_image above into my home directory.  Let's check out the output with the default configuration:\n",
      "\n",
      "   - ``objecthunt ~/test_image.png ~/foo_out -p ignore=black``\n",
      "   \n",
      "Where we set a parameter, *ignore* to black as the test image has a black background.  Alternatively, this could have been set directly in the config file. <font color='blue'>**Any run parameter can be overwritten at the command line.**</font>"
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Results"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First, notice there are several folders output by the script:\n",
      "\n",
      "- **MultiCanvas**: Plots/stats of multicanvas methods like multi-histogram and pie chart (see below)\n",
      "- **Net_Canvas**:  Plots/stats of single Canvas of all particles\n",
      "     - For example, the percent image coverage is a canvas stat.\n",
      "- ** Canvas_by_Canvas**: Plots/stats of individual particle subgroups.\n",
      "    \n",
      "Examples of these outputs are shown below:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import Image\n",
      "Image('../scriptimg_1.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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mnGfHpjiVyaXnOes6A4RpJ8Y4h48PpBUxU8XYNzF2FWMqW3ZnNAawVWx0BZt9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dm8eTPdu3dn4sSJTd6TNX/+fPLy8sjIyMDX15dz586RnJzM1atXmTt3Lm3btqVd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\nkiRJkiRJkh39P3WIYlSsXRMgAAAAAElFTkSuQmCC\n",
       "prompt_number": 3,
       "text": [
        "<IPython.core.display.Image at 0x526f890>"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Notices that 4 generic species, *patch1-4* have been assigned.  In the *configuration* section below, we show how to assign names to each group.  The majority of statistics is in the summary.txt output.  Here is an excerpt that shows the MultiCanvas, Net Canvas and Patch 1 Canvas, as well as statistics of each:"
     ]
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": [
      "MultiCanvas (0xaefd9bc) 171: \n",
      "  patch1  -  Canvas (0xaef8e0c) : 1024 X 1000 : 96 particles\n",
      "  patch2  -  Canvas (0xaefd6bc) : 1024 X 1000 : 16 particles\n",
      "  patch3  -  Canvas (0xaefd98c) : 1024 X 1000 : 40 particles\n",
      "  patch4  -  Canvas (0xaefd77c) : 1024 X 1000 : 19 particles\n",
      "\n",
      "### Net Canvas ###\n",
      "------------------\n",
      "\n",
      "Canvas (0xafd7cbc):\n",
      "   background  -->  (1024 X 1000) : file/colorstring/url\n",
      "   particles   -->  171 particles : 1 types\n",
      "   xygrid[435] -->  (29p X 15p) : (34.5 X 68.2) [pix/tile]\n",
      "\n",
      "   Image Resolution: (1024, 1000)\n",
      "\n",
      "   Particle coverage: 19.57%\n",
      "\n",
      "   area (min, max, mean):   (437.00 - 3319.00, 1172.11)\n",
      "\n",
      "   circularity (min, max, mean):   (0.30 - 1.00, 0.80)\n",
      "\n",
      "   equivalent_diameter (min, max, mean):   (23.59 - 65.01, 37.28)\n",
      "\n",
      "\n",
      "\n",
      "### patch1 ###\n",
      "--------------\n",
      "\n",
      "Canvas (0xd1409ec):\n",
      "   background  -->  (1024 X 1000) : file/colorstring/url\n",
      "   particles   -->  96 particles : 1 types\n",
      "   xygrid[435] -->  (29p X 15p) : (34.5 X 68.2) [pix/tile]\n",
      "\n",
      "   Image Resolution: (1024, 1000)\n",
      "\n",
      "   Particle coverage: 6.59%\n",
      "\n",
      "   area (min, max, mean):   (437.00 - 1125.00, 703.38)\n",
      "\n",
      "   circularity (min, max, mean):   (0.94 - 1.00, 0.97)\n",
      "\n",
      "   equivalent_diameter (min, max, mean):   (23.59 - 37.85, 29.77)\n"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Configuration"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "There are several configurable parameters, mostly having to do with plotting styles, and which analysis to do and which not to.  Hopefully, the variable names are self-explantory.  Here are just a few examples:\n",
      "\n",
      "- **multidir** Directory name of where to output multicanvas plots (pie, hist etc..)\n",
      "- **multihist** = 'hist.png' : **multihistkwds** = {}\n",
      "    - Name of multicanvas piechart and any valid keywords (e.g. bins=50)\n",
      "- **ignore** = 'white'\n",
      "    - Background color to ignore in images\n",
      "\n",
      "**<font color='blue'>For plots and directories, setting value to None (e.g. multihist=None) will remove that part of the analysis</font>**.  For example, setting ``canvasdir = None`` will avoid the canvas-by-canvas analysis entiely!\n",
      "\n",
      "Another key parameter is the **mapper**, which allows the user to specify group names and colors of objects.  For our example images, the mapper would be set as follows:\n",
      "\n",
      "    mapper = [\n",
      "        ('singles','red'),\n",
      "        ('doubles',(0,1,0)),\n",
      "        ('trimers', 'gold' ),\n",
      "        ('clusters', 'magenta')\n",
      "        ]\n",
      "        \n",
      "Where the colors are specified as any valid pyparty color style.  *The script will guess the closest color from the one specified, so exact colors are not required!*  The order of the names in the mapper persists in the plots!  Here is an example of the *pie* and *multishow* when the above mapper is used in the config file:\n",
      "    "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image('../scriptimg_2.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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jjz/OP/7xD/r06cOf/vQndu/ejcFgYNKkSbz66qu+/51e//7v/84///lPzpw5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SwkNJJ0XfWIP3NG4803oykvX8Fjj32NRYuW4nA4JJCLMPXD2/g/EuqH1YFB5/OBqcjT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\nhBBCCCFCTEK5EEIIIYQQIfb/A6Lkp+LXBzE3AAAAAElFTkSuQmCC\n",
       "prompt_number": 4,
       "text": [
        "<IPython.core.display.Image at 0x5278450>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If you are having trouble guessing the *nearest* colors, I'd recommend either using a [hexcode](http://www.w3schools.com/html/html_colors.asp) or you can use pyparty.unique() to see all the colors in the image.  *Internally, pyparty will convert the image to rgb using any2rgb function, so let's look at the unique values after converting:*"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pyparty.tools.arraytools import unique\n",
      "from pyparty.utils import any2rgb\n",
      "\n",
      "unique( any2rgb(IMAGE) )"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "WARNING:pyparty.utils:4-channel RGBA recieved; ignoring A channel\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "[array([ 0.,  0.,  0.]),\n",
        " array([ 1.,  0.,  0.]),\n",
        " array([ 0.,  1.,  0.]),\n",
        " array([ 1.,  1.,  0.]),\n",
        " array([ 1.,  0.,  1.])]"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "These corresponds to **black**, <font color='red'>**red**</font>, <font color='green'>**green**</font>, <font color='yellow'>**yellow**</font> and <font color='magenta'>**magenta**</font>, respectively."
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Creating your own configuration file"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Creating your own configuration file is simple.  Merely import `_configobjhunt.DefaultParameters` and overwrite default parameters to your liking  [view defaults here](https://github.com/hugadams/pyparty/blob/master/pyparty/scripts/objectmodeling/_configobjhunt.py).  **Just be sure you name your new class `Parameters`**.  \n",
      "\n",
      "So for example, a configuration file that changes all of the particle group names to rappers and sets the background color of the image to white would be created as:"
     ]
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": [
      "from pyparty.scripts.objectmodeling import DefaultParameters\n",
      "\n",
      "class Parameters(DefaultParameters):\n",
      "    \"\"\" Creating a new Parameters class; we will rename mapper attributes to rappers, and\n",
      "         ignore white pixels as background.\n",
      "    \"\"\"  \n",
      "    ignore = 'white'\n",
      "\n",
      "    mapper = [\n",
      "        ('50cent','yellow'),\n",
      "        ('kendrick', (1,0,0)),\n",
      "        ('dre', 'pink' ),\n",
      "        ('reds', 'red')\n",
      "        ]\n",
      "    ..."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Then to use this configuration, it's as simple as:"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "`objecthunt <image> <outdir> -c path/to/configfile.py`"
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Script Workflow"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "*This section is mainly aimed at those looking to script with pyparty, or change/improve the objecthunt script.*"
     ]
    },
    {
     "cell_type": "heading",
     "level": 4,
     "metadata": {},
     "source": [
      "Caveats"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "A couple things to keep in mind about this script:\n",
      "   -  <font color='red'>**Images with more than 10 separate colors, by default, will not be analyzed.**</font>  This is due to the inherent slowness of MultiCanvas.from_labeled(), and the restraint will be soon once this step is sped up.    "
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>\n",
      "<br>\n",
      "\n",
      "\n",
      "<div style=\"float:left; \\\">\n",
      "    <img src=\"https://avatars0.githubusercontent.com/u/1972276?s=460\" \n",
      " align=left; text-align:center; style=\"float:left; margin-left: 5px; margin-top: -25px; width:150px; height:150px\" /> \n",
      "</div>\n",
      "\n",
      "<div style=\"float:left; \\\"><a href=\"https://github.com/hugadams\">\n",
      "    <img src=\"https://assets-cdn.github.com/images/modules/logos_page/GitHub-Mark.png\" \n",
      " align=left; text-align:center; style=\"float:left; margin-left: 25px; margin-top: -25px; width:75px; height:75px\" /> \n",
      "</div>\n",
      "\n",
      "\n",
      "<div style=\"float:left; \\\"><a href=\"https://twitter.com/hughesadam87\">\n",
      "    <img src=\"http://paymentmagnates.com/wp-content/uploads/2014/04/twitter-icon.png\" \n",
      " align=left; text-align:center; style=\"float:left; margin-left: 25px; margin-top: -25px; width:75px; height:75px\" /> \n",
      "</div>\n",
      "\n",
      "<div style=\"float:left; \\\"><a href=\"https://www.researchgate.net/profile/Adam_Hughes2?ev=hdr_xprf\">\n",
      "    <img src=\"http://www.txhughes.com/images/button-researchgate.png\" \n",
      " align=left; text-align:center; style=\"float:left; margin-left: -175px; margin-top: 55px; width:75px; height:75px\" /> \n",
      "</div>\n",
      "\n",
      "<div style=\"float:left; \\\"><a href=\"https://www.linkedin.com/profile/view?id=121484744&trk=nav_responsive_tab_profile_picg\">\n",
      "    <img src=\"http://smallbusinessesdoitbetter.com/wordpress/wp-content/uploads/li.png\" \n",
      " align=left; text-align:center; style=\"float:left; margin-left: -75px; margin-top: 55px; width:75px; height:75px\" /> \n",
      "</div>\n",
      "\n",
      "<div style=\"float:center; \\\"><a href=\"http://www.gwu.edu/\">\n",
      "    <img src=\"https://raw.githubusercontent.com/hugadams/pyparty/master/pyparty/data/gwu.png\" \n",
      " align=center style=\"float:center; margin-right: 30px; margin-top: -35px; width:335px; height:180px\" />\n",
      "</div>\n",
      "\n",
      "\n",
      "<h4 style=\"margin-top:0px;\"> This notebook is free for redistribution. If citing, please reference as: </h4>\n",
      "- *Hughes, A. (2012). [A Computational Framework for Plasmonic Nanobiosensing](https://www.researchgate.net/publication/236672995_A_Computational_Framework_for_Plasmonic_Nanobiosensing).  Python in Science Conference [SCIPY].* \n",
      "\n",
      "\n",
      "<h3 style=\"margin-top:30px;\"> Questions or Feedback? </h3>\n",
      "\n",
      "* hugadams@gwmail.gwu.edu \n",
      "* twitter:  <a href=\"https://twitter.com/hughesadam87\" target=\"_blank\">@hughesadam87</a>\n",
      "* <a href=\"http://www.gwu.edu/~condmat/CME/reeves.html\" target=\"_blank\">Mark Reeves Biophysics Group</a>\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "<h3 style=\"margin-top:30px;\"> References: </h3>\n",
      "\n",
      "* [1] : **REF 1**\n",
      "* [2] : **REF 2**\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "<h3 style=\"margin-top:30px;\"> Related: </h3>\n",
      "\n",
      "   * <a href=\"https://github.com/hugadams/pyparty\" target=\"_blank\">pyuvvis: Exploratory Spectral Data Analysis</a>\n",
      "   * <a href=\"https://github.com/hugadams/pyparty\" target=\"_blank\">pyparty: Image Analysis of Particles</a>\n",
      "   * <a href=\"http://lorenabarba.com/\" target=\"_blank\">Lorena A. Barba (GWU Engineering)</a>\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "<h3 style=\"margin-top:30px;\">Notebook styling ideas:</h3>\n",
      "\n",
      "* <a href=\"http://blog.louic.nl/?p=683\" target=\"_blank\">Louic's web blog</a>\n",
      "* <a href=\"https://plot.ly/feed\" target=\"_blank\">Plotly</a>\n",
      "* <a href=\"http://damon-is-a-geek.com/publication-ready-the-first-time-beautiful-reproducible-plots-with-matplotlib.html\" target=\"_blank\">Publication-ready the first time: Beautiful, reproducible plots with Matplotlib</a>\n",
      "\n",
      "<br>\n",
      "<hr>"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}