lewisacidic/fingerprint_visualization.ipynb

## fingerprint_visualization.ipynb
{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Fingerprint Visualization"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Prerequisites:\n    - scikit-chem + dependencies\n    - ipywidgets"
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": false
      },
      "cell_type": "code",
      "source": "import skchem, ipywidgets\nskchem.interact.Visualizer('morgan');",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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xSkpKZOwiMMKVld3QH/7we0lSXFy8/tf/+n/CXBHCYTDPCSeEB4kQjv7YtWuX9u/fL0ma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\n9ek3jaZS0uuv79UDDzwgSVq37gx97nOfK9md9VKy3Kfhfka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hAAAAgGFEOAAA\nAGAYEQ4AAAAYRoQDAAAAhhHhAAAAgGFEOAAAAGAYEQ4AAAAYRoQDAAAAhhHhAAAAgGFEOAAAAGAY\nEQ4AAAAYRoQDAAAAhhHhAAAAgGFEOAAAAGAYEQ4AAAAYRoQDAAAAhhHhAAAAgGFEOAAAAGAYEQ4A\nAAAYRoQDAAAAhhHhAAAAgGFEOAAAAGAYEQ4AAAAYRoQDAAAAhhHhAAAAgGFEOAAAAGAYEQ4AAAAY\nRoQDAAAAhhHhAAAAgGFEOAAAAGAYEQ4AAAAYRoQDAAAAhhHhAAAAgGFEOAAAAGAYEQ4AAAAYRoQD\nAAAAhhHhAAAAgGFEOAAAAGAYEQ4AAAAYRoQDAAAAhhHhAAAAgGFEOAAAAGAYEQ4AAAAYRoQDAAAA\nhhHhAAAAgGFEOAAAAGAYEQ4AAAAYRoQDAAAAhhHhAAAAgGFEOAAAAGAYEQ4AAAAYRoQDAAAAhv1/\nUvdD3f07eTQAAAAASUVORK5CYII=\n",
            "text/plain": "<matplotlib.figure.Figure at 0x106039b38>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "collapsed": true
      },
      "cell_type": "code",
      "source": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n# to stop rebounding!",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "widgets": {
      "version": "1.1.2",
      "state": {
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        },
        "2e3e61ba0e9e49118ffb702a8c53d93f": {
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        },
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        },
        "6168824b10fd4aa2b9cd9121a618dc8c": {
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        },
        "f4d9af347cdb4e588860542df0ab6146": {
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        },
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        },
        "fc35e521b8e04579865fe5b18c84dcb3": {
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        },
        "32be69e7125c4ddea04f640e6ca4dd5a": {
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        },
        "08068c021efd48519ede4a2f413a582a": {
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        },
        "f5cadde44e974f119622d87ce91df9c9": {
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        },
        "761aa19929b24e049071f0970b1e9c0d": {
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        },
        "8d75e78743f6454b81ba891430085a9e": {
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        },
        "8885ce5f6e464e25963769f56f66b006": {
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