{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Linking and Layout\n",
    "\n",
    "> [<i class=\"fa fa-2x fa-paper-plane text-info fa-fw\"> </i> Simple example](./Simple example.ipynb)\n",
    ">\n",
    "> [<i class=\"fa fa-2x fa-space-shuttle text-info fa-fw\"> </i> Advanced examples](./More examples.ipynb)\n",
    ">\n",
    "> <i class=\"fa fa-2x fa-link text-info fa-fw\"> </i> Linking and Layout\n",
    ">\n",
    "> [<i class=\"fa fa-2x fa-image text-info fa-fw\"> </i> Exporting Images](./Exporting Images.ipynb)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from ipysankeywidget import SankeyWidget"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> <i class=\"fa fa-info-circle fa-2x fa-fw text-primary\"></i> This uses the base [ipywidgets](https://github.com/ipython/ipywidgets) for layout and data, but you can use any widgets!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from ipywidgets import (\n",
    "    VBox,\n",
    "    HBox,\n",
    "    IntSlider,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "links = [\n",
    "    {'source': 'start', 'target': 'A', 'value': 10},\n",
    "    {'source': 'A', 'target': 'B', 'value': 10},\n",
    "    {'source': 'C', 'target': 'A', 'value': 10},\n",
    "    {'source': 'A', 'target': 'C', 'value': 10},\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "10d751d0db1447409506237c63007864"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sankey = SankeyWidget(links=links)\n",
    "sankey"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> <i class=\"fa fa-gears fa-2x fa-fw text-info\"></i> A convenience factory function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def slider(link, i, sankey):\n",
    "    value = IntSlider(description=\"{source} → {target}\".format(**link), min=0, max=10, step=1, value=10)\n",
    "\n",
    "    def _change(change):\n",
    "        sankey.links[i][\"value\"] = value.value\n",
    "        sankey.send_state()\n",
    "    \n",
    "    value.observe(_change)\n",
    "    \n",
    "    return value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Build up a slider per link to control the value:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sliders = [slider(link, i, sankey) for i, link in enumerate(links)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5bae61a3d4024baaab8fba409ae209a9"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "box = HBox(children=[sankey, VBox(children=sliders)])\n",
    "box"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "0416ee9df30d46ee9b833ab1ef84237c": {
      "model_module": "jupyter-js-widgets",
      "model_module_version": "~2.1.4",
      "model_name": "SliderStyleModel",
      "state": {
       "_model_module_version": "~2.1.4",
       "_view_module_version": "~2.1.4"
      }
     },
     "10d751d0db1447409506237c63007864": {
      "model_module": "jupyter-sankey-widget",
      "model_module_version": "^0.2.1",
      "model_name": "SankeyModel",
      "state": {
       "_dom_classes": [],
       "_model_module_version": "^0.2.1",
       "_view_module_version": "^0.2.1",
       "layout": "IPY_MODEL_3e17e9c660ff4e50a73474705f8431d4",
       "links": [
        {
         "source": "start",
         "target": "A",
         "value": 10
        },
        {
         "source": "A",
         "target": "B",
         "value": 10
        },
        {
         "source": "C",
         "target": "A",
         "value": 10
        },
        {
         "source": "A",
         "target": "C",
         "value": 10
        }
       ],
       "msg_throttle": 1,
       "order": [],
       "png": 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