ielixir

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All dependencies up to date\n",
      "All dependencies up to date\n",
      "Resolving Hex dependencies...\n",
      "Dependency resolution completed:\n",
      "Unchanged:\n",
      "  gnuplot 1.19.95\n",
      "All dependencies up to date\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[33mwarning: \u001b[0mfound quoted keyword \"coveralls\" but the quotes are not required. Note that keywords are always atoms, even when quoted, and quotes should only be used to introduce keywords with foreign characters in them\n",
      "  mix.exs:22\n",
      "\n",
      "\u001b[33mwarning: \u001b[0mredefining module IElixir.Mixfile (current version defined in memory)\n",
      "  mix.exs:1\n",
      "\n",
      "\u001b[33mwarning: \u001b[0mfound quoted keyword \"coveralls\" but the quotes are not required. Note that keywords are always atoms, even when quoted, and quotes should only be used to introduce keywords with foreign characters in them\n",
      "  mix.exs:22\n",
      "\n",
      "\u001b[33mwarning: \u001b[0mredefining module IElixir.Mixfile (current version defined in memory)\n",
      "  mix.exs:1\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       ":ok"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Boyle.mk(\"inlineplot\")\n",
    "Boyle.activate(\"inlineplot\")\n",
    "Boyle.install({:gnuplot, \"~> 1.19\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Elixir Gnuplot discards the output, so we need to output to a file\n",
    "Gnuplot.plot([\n",
    "  ~w|set terminal pngcairo size 800,262 enhanced font 'Verdana,10'|a,\n",
    "  ~w|set output 'sinx.png'|a,\n",
    "  [:plot, 'sinh(x)', :title, \"Sine Wave\"]\n",
    "  ])\n",
    "  \n",
    "# Wait for Gnuplot to write the image\n",
    ":timer.sleep(1000)\n",
    "\n",
    "{:\"this is an inline image\",src: \"sinx.png\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Example of an inline image written as a base64 encoded string to output\n",
    "# The image is taken from : https://jsfiddle.net/casiano/Xadvz/\n",
    "IO.binwrite(:stdio,\"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\")\n",
    ":\"this is an inline image\""
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Elixir",
   "language": "Elixir",
   "name": "ielixir"
  },
  "language_info": {
   "codemirror_mode": "elixir",
   "file_extension": "ex",
   "mimetype": "text/x-elixir",
   "name": "elixir",
   "nbconvert_exporter": "",
   "pygments_lexer": "elixir",
   "version": "1.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}