{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### New to Plotly?\n",
    "Plotly's Python library is free and open source! [Get started](https://plotly.com/python/getting-started/) by downloading the client and [reading the primer](https://plotly.com/python/getting-started/).\n",
    "<br>You can set up Plotly to work in [online](https://plotly.com/python/getting-started/#initialization-for-online-plotting) or [offline](https://plotly.com/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plotly.com/python/getting-started/#start-plotting-online).\n",
    "<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Version Check\n",
    "Note: Ternary Plots are available in version 1.9.10+ <br>Run pip install plotly --upgrade to update your Plotly version"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Basic Ternary Contour Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plotly.com/~chelsea_lyn/12099.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import plotly.plotly as py\n",
    "\n",
    "import json\n",
    "import urllib\n",
    "\n",
    "url = 'https://gist.githubusercontent.com/davenquinn/988167471993bc2ece29/raw/f38d9cb3dd86e315e237fde5d65e185c39c931c2/data.json'\n",
    "response = urllib.urlopen(url).read()\n",
    "data = json.loads(response)\n",
    "\n",
    "colors = ['#8dd3c7','#ffffb3','#bebada',\n",
    "          '#fb8072','#80b1d3','#fdb462',\n",
    "          '#b3de69','#fccde5','#d9d9d9',\n",
    "          '#bc80bd','#ccebc5','#ffed6f'];\n",
    "\n",
    "# generate a,b and c from JSON data..\n",
    "traces = []\n",
    "color_iter = iter(colors)\n",
    "for i in data.keys():\n",
    "    trace = dict(text=i,\n",
    "        type='scatterternary',\n",
    "        a=[ k['clay'] for k in data[i] ],\n",
    "        b=[ k['sand'] for k in data[i] ],\n",
    "        c=[ k['silt'] for k in data[i] ],\n",
    "        mode='lines',\n",
    "        line=dict(color='#444'),\n",
    "        fill='toself',\n",
    "        fillcolor=color_iter.next()\n",
    "    )\n",
    "    traces.append(trace)\n",
    "    \n",
    "layout = {\n",
    "    'title': 'Simple Ternary Contour Plot with Python',\n",
    "    'ternary': \n",
    "        {'sum':100,\n",
    "         'aaxis':{'title': 'clay', 'ticksuffix':'%', 'min': 0.01, 'linewidth':2, 'ticks':'outside' },\n",
    "         'baxis':{'title': 'sand', 'ticksuffix':'%', 'min': 0.01, 'linewidth':2, 'ticks':'outside' },\n",
    "         'caxis':{'title': 'silt','ticksuffix':'%', 'min': 0.01, 'linewidth':2, 'ticks':'outside' }},\n",
    "    'showlegend': False          \n",
    "}\n",
    "\n",
    "figure = dict(data=traces, layout=layout)\n",
    "py.iplot(figure, validate=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700\" rel=\"stylesheet\" type=\"text/css\" />"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning: The `IPython.nbconvert` package has been deprecated since IPython 4.0. You should import from nbconvert instead.\n",
      "  \"You should import from nbconvert instead.\", ShimWarning)\n",
      "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/publisher/publisher.py:53: UserWarning: Did you \"Save\" this notebook before running this command? Remember to save, always save.\n",
      "  warnings.warn('Did you \"Save\" this notebook before running this command? '\n"
     ]
    }
   ],
   "source": [
    "from IPython.display import display, HTML\n",
    "\n",
    "display(HTML('<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700\" rel=\"stylesheet\" type=\"text/css\" />'))\n",
    "display(HTML('<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">'))\n",
    "\n",
    "#! pip install git+https://github.com/plotly/publisher.git --upgrade\n",
    "import publisher\n",
    "publisher.publish(\n",
    "    'ternary-contour.ipynb', 'python/ternary-contour/', 'Python Ternary Contour Plots | plotly',\n",
    "    'How to make Ternary Contour Plots in Python with Plotly.',\n",
    "    name = 'Ternary Contour Plots',\n",
    "    thumbnail='thumbnail/ternary-contour.jpg', language='python',\n",
    "    has_thumbnail='true', display_as='scientific', order=10,\n",
    "    ipynb= '~notebook_demo/40')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
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