{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using GnuplotRB in IRuby notebooks\n",
    "GnuplotRB plots may be embedded into iRuby notebooks as images (terminals *svg*, *png*, *jpeg* and *pngcairo* are supported) or plain text (*dumb* terminal). By default GnuplotRB will use svg:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "\t\t<text><tspan font-family=\"Arial\" > 5</tspan></text>\n",
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       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
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       "\t\t<text><tspan font-family=\"Arial\" > 10</tspan></text>\n",
       "\t</g>\n",
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       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M55.3,54.1 L55.3,422.4 L575.0,422.4 L575.0,54.1 L55.3,54.1 Z  '/></g>\n",
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       "\t\t<text><tspan font-family=\"Arial\" >x</tspan></text>\n",
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       "\t\t<text><tspan font-family=\"Arial\" >x*sin(x)</tspan></text>\n",
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       "\t\t<text><tspan font-family=\"Arial\" >Math function example</tspan></text>\n",
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       "\t<g id=\"gnuplot_plot_1\" ><title>x*sin(x)</title>\n",
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       "\t\t<text>x*sin(x)</text>\n",
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       "\t</g>\n",
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       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M55.3,54.1 L55.3,422.4 L575.0,422.4 L575.0,54.1 L55.3,54.1 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
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       "\n"
      ],
      "text/plain": [
       "#<GnuplotRB::Plot:0x00000003628e98 @options=Hamster::Hash[:xrange => -10..10, :ylabel => \"x\", :title => \"Math function example\", :xlabel => \"x*sin(x)\"], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003628c18 @type=:math_function, @data=\"x*sin(x)\", @options=Hamster::Hash[:lt => {:rgb=>\"blue\", :lw=>3}, :with => \"lines\"]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "require 'gnuplotrb'\n",
    "include GnuplotRB\n",
    "\n",
    "simple_plot = Plot.new(\n",
    "  ['x*sin(x)', with: 'lines', lt: { rgb: 'blue', lw: 3 }],\n",
    "  xrange: -10..10,\n",
    "  title: 'Math function example', \n",
    "  ylabel: 'x',\n",
    "  xlabel: 'x*sin(x)'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can make GnuplotRB plots to be rendered into other formats using *term* option:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "#<GnuplotRB::Plot:0x00000003676c38 @options=Hamster::Hash[:xrange => -10..10, :ylabel => \"x\", :title => \"Math function example\", :xlabel => \"x*sin(x)\", :term => [\"png\"]], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003628c18 @type=:math_function, @data=\"x*sin(x)\", @options=Hamster::Hash[:lt => {:rgb=>\"blue\", :lw=>3}, :with => \"lines\"]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simple_plot.term('png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "#<GnuplotRB::Plot:0x000000036aac68 @options=Hamster::Hash[:xrange => -10..10, :ylabel => \"x\", :title => \"Math function example\", :xlabel => \"x*sin(x)\", :term => [\"jpeg\"]], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003628c18 @type=:math_function, @data=\"x*sin(x)\", @options=Hamster::Hash[:lt => {:rgb=>\"blue\", :lw=>3}, :with => \"lines\"]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simple_plot.term('jpeg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\f",
       "\n",
       "                             Math function example\n",
       "\n",
       "  8 +-+---------------+-----------------+----------------+---------------+-+\n",
       "    +     +  +        +                 +                +        +  +     +\n",
       "  6 +-+  +   +                                            x*sin(x)++-----+-+\n",
       "    |   +     +                                                  +     +   |\n",
       "    |   |      +                                                +      |   |\n",
       "  4 +-+ +      |                                                |      + +-+\n",
       "    |   |      +                                                +       |  |\n",
       "  2 +-++        +                                              +        ++-+\n",
       "    |  |         |            ++++++        ++++++             |         | |\n",
       "    | +          +           +      +++  +++      +           +          + |\n",
       "  0 +-+           |         +         ++++         +          |          +-+\n",
       "    ||            +        +                        +        +            ||\n",
       " -2 +-+           +       +                          +       +           +-+\n",
       "    ||             +      +                          +      +             ||\n",
       "    |+              +    +                            +    +              +|\n",
       " -4 +-+             ++ ++                              ++ ++             +-+\n",
       "    +                 +                 +                +                 +\n",
       " -6 +-+---------------+-----------------+----------------+---------------+-+\n",
       "   -10               -5                 0                5                 10\n",
       "                                   x*sin(x)\n",
       "\n"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simple_plot.term('dumb')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Using terminal options\n",
    "To specify some image params like canvas size or font you can pass options to term:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\f",
       "\n",
       "                    Math function example\n",
       "\n",
       "  8 +-+----------+------------+------------+----------+-+\n",
       "    +   + +      +            +            +      + +   +\n",
       "    |   |  +                           x*sin(x) +-----+ |\n",
       "  6 +-+ +  |                                     |  + +-+\n",
       "    |   |  +                                     +   |  |\n",
       "    |  +    |                                    |   +  |\n",
       "    |  |    +                                   +    |  |\n",
       "  4 +-++    |                                   |    ++-+\n",
       "    |  |    +                                   +    |  |\n",
       "    | |      |                                  |     | |\n",
       "  2 +-+      +          +++       +++          +      +-+\n",
       "    | |      |         +  ++     ++  +         |      | |\n",
       "    | |      +        +    ++   ++    +        +      | |\n",
       "  0 +-+       |       +      +++      +        |      +-+\n",
       "    | |       +      +                 +      +       | |\n",
       "    ||         |     +                 +      |        ||\n",
       " -2 +-+        +     |                  |    +        +-+\n",
       "    ||         |    +                   +    |         ||\n",
       "    ||         +    +                   +    +         ||\n",
       "    |+          +  +                     +  +          +|\n",
       " -4 +-+         +  +                     +  +         +-+\n",
       "    |            ++                       ++            |\n",
       "    +            +            +            +            +\n",
       " -6 +-+----------+------------+------------+----------+-+\n",
       "   -10          -5            0            5            10\n",
       "                          x*sin(x)\n",
       "\n"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simple_plot.term('dumb', size: [60,30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M83.7,304.3 L97.2,304.3 M562.1,304.3 L548.6,304.3  '/>\t<g transform=\"translate(71.1,311.0)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >-2</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M83.7,259.7 L97.2,259.7 M562.1,259.7 L548.6,259.7  '/>\t<g transform=\"translate(71.1,266.4)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M83.7,215.0 L97.2,215.0 M562.1,215.0 L548.6,215.0  '/>\t<g transform=\"translate(71.1,221.7)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 2</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M83.7,170.4 L97.2,170.4 M562.1,170.4 L548.6,170.4  '/>\t<g transform=\"translate(71.1,177.1)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 4</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M83.7,125.7 L97.2,125.7 M562.1,125.7 L548.6,125.7  '/>\t<g transform=\"translate(71.1,132.4)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 6</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M83.7,81.1 L97.2,81.1 M562.1,81.1 L548.6,81.1  '/>\t<g transform=\"translate(71.1,87.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"end\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 8</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M83.7,393.6 L83.7,380.1 M83.7,81.1 L83.7,94.6  '/>\t<g transform=\"translate(83.7,427.3)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >-10</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M203.3,393.6 L203.3,380.1 M203.3,81.1 L203.3,94.6  '/>\t<g transform=\"translate(203.3,427.3)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >-5</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M322.9,393.6 L322.9,380.1 M322.9,81.1 L322.9,94.6  '/>\t<g transform=\"translate(322.9,427.3)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 0</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M442.5,393.6 L442.5,380.1 M442.5,81.1 L442.5,94.6  '/>\t<g transform=\"translate(442.5,427.3)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 5</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M562.1,393.6 L562.1,380.1 M562.1,81.1 L562.1,94.6  '/>\t<g transform=\"translate(562.1,427.3)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" > 10</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M83.7,81.1 L83.7,393.6 L562.1,393.6 L562.1,81.1 L83.7,81.1 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(26.5,237.4) rotate(270)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >x</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(322.9,467.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >x*sin(x)</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(322.9,47.3)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"middle\">\n",
       "\t\t<text><tspan font-family=\"Arial\" >Math function example</tspan></text>\n",
       "\t</g>\n",
       "</g>\n",
       "\t<g id=\"gnuplot_plot_1\" ><title>x*sin(x)</title>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"black\" stroke-width=\"3.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"3.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<g transform=\"translate(460.4,114.8)\" stroke=\"none\" fill=\"black\" font-family=\"Arial\" font-size=\"18.00\"  text-anchor=\"end\">\n",
       "\t\t<text>x*sin(x)</text>\n",
       "\t</g>\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"3.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='rgb(  0,   0, 255)'  d='M473.0,108.1 L536.9,108.1 M83.7,381.1 L88.5,339.4 L93.4,296.2 L98.2,253.2 L103.0,212.3 L107.9,175.1\n",
       "\t\tL112.7,143.0 L117.5,117.1 L122.4,98.2 L127.2,86.8 L132.0,83.0 L136.9,86.6 L141.7,97.1 L146.5,113.7\n",
       "\t\tL151.4,135.4 L156.2,161.1 L161.0,189.3 L165.8,218.8 L170.7,248.3 L175.5,276.4 L180.3,302.0 L185.2,324.2\n",
       "\t\tL190.0,342.1 L194.8,355.4 L199.7,363.8 L204.5,367.1 L209.3,365.6 L214.2,359.7 L219.0,350.1 L223.8,337.5\n",
       "\t\tL228.7,322.6 L233.5,306.5 L238.3,289.9 L243.2,273.9 L248.0,259.0 L252.8,245.9 L257.7,235.2 L262.5,227.1\n",
       "\t\tL267.3,221.8 L272.2,219.3 L277.0,219.4 L281.8,221.8 L286.7,225.9 L291.5,231.3 L296.3,237.4 L301.2,243.7\n",
       "\t\tL306.0,249.4 L310.8,254.2 L315.7,257.7 L320.5,259.4 L325.3,259.4 L330.1,257.7 L335.0,254.2 L339.8,249.4\n",
       "\t\tL344.6,243.7 L349.5,237.4 L354.3,231.3 L359.1,225.9 L364.0,221.8 L368.8,219.4 L373.6,219.3 L378.5,221.8\n",
       "\t\tL383.3,227.1 L388.1,235.2 L393.0,245.9 L397.8,259.0 L402.6,273.9 L407.5,289.9 L412.3,306.5 L417.1,322.6\n",
       "\t\tL422.0,337.5 L426.8,350.1 L431.6,359.7 L436.5,365.6 L441.3,367.1 L446.1,363.8 L451.0,355.4 L455.8,342.1\n",
       "\t\tL460.6,324.2 L465.5,302.0 L470.3,276.4 L475.1,248.3 L480.0,218.8 L484.8,189.3 L489.6,161.1 L494.4,135.4\n",
       "\t\tL499.3,113.7 L504.1,97.1 L508.9,86.6 L513.8,83.0 L518.6,86.8 L523.4,98.2 L528.3,117.1 L533.1,143.0\n",
       "\t\tL537.9,175.1 L542.8,212.3 L547.6,253.2 L552.4,296.2 L557.3,339.4 L562.1,381.1  '/></g>\n",
       "\t</g>\n",
       "<g fill=\"none\" color=\"white\" stroke=\"rgb(  0,   0, 255)\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"2.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"black\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "\t<path stroke='black'  d='M83.7,81.1 L83.7,393.6 L562.1,393.6 L562.1,81.1 L83.7,81.1 Z  '/></g>\n",
       "<g fill=\"none\" color=\"black\" stroke=\"currentColor\" stroke-width=\"1.00\" stroke-linecap=\"butt\" stroke-linejoin=\"miter\">\n",
       "</g>\n",
       "</g>\n",
       "</svg>\n",
       "\n"
      ],
      "text/plain": [
       "#<GnuplotRB::Plot:0x00000003768c18 @options=Hamster::Hash[:xrange => -10..10, :ylabel => \"x\", :title => \"Math function example\", :xlabel => \"x*sin(x)\", :term => [\"svg\", {:fsize=>\"18\"}]], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x00000003628c18 @type=:math_function, @data=\"x*sin(x)\", @options=Hamster::Hash[:lt => {:rgb=>\"blue\", :lw=>3}, :with => \"lines\"]>], @cmd=\"plot \">"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "simple_plot.term('svg', fsize: '18')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course plot may be created with *term* option already set:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "#<GnuplotRB::Splot:0x000000037abd38 @options=Hamster::Hash[:parametric => true, :hidden3d => true, :urange => 0..3.141592653589793, :title => \"sphere\", :vrange => 0..6.283185307179586, :term => [\"png\", {:size=>[600, 800]}], :isosamples => 30], @datasets=Hamster::Vector[#<GnuplotRB::Dataset:0x000000037ab8d8 @type=:math_function, @data=\"sin(u)*cos(v), sin(u)*sin(v), cos(u)\", @options=Hamster::Hash[:title => \"Sphere\"]>], @cmd=\"splot \">"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Splot.new(\n",
    "  ['sin(u)*cos(v), sin(u)*sin(v), cos(u)', title: 'Sphere'],\n",
    "  parametric: true,\n",
    "  urange: 0..Math::PI,\n",
    "  vrange: 0..2*Math::PI,\n",
    "  title: 'sphere',\n",
    "  hidden3d: true,\n",
    "  isosamples: 30,\n",
    "  term: ['png', size: [600, 800]]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Plotting to image file\n",
    "\n",
    "GnuplotRB allows to plot into png/svg/jpeg/gif files with handy ```#to_|format name|``` methods. They take 2 arguments: path to image file (optional, if none given, file contents will be returned from method) and options. This kind of methods are available for all Plottable objects except Animation (Dataset, Plot, Splot, Multiplot). You may see all possible formats in [gnuplot doc](http://www.gnuplot.info/docs_5.0/gnuplot.pdf) p. 190. You can also check which terminals are handled by your gnuplot installation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[\"cairolatex\", \"canvas\", \"cgm\", \"context\", \"corel\", \"dumb\", \"dxf\", \"eepic\", \"emf\", \"emtex\", \"epscairo\", \"epslatex\", \"fig\", \"gif\", \"hpgl\", \"jpeg\", \"latex\", \"lua\", \"mf\", \"mp\", \"pcl5\", \"pdfcairo\", \"png\", \"pngcairo\", \"postscript\", \"pslatex\", \"pstex\", \"pstricks\", \"qms\", \"qt\", \"svg\", \"tek40xx\", \"tek410x\", \"texdraw\", \"tgif\", \"tikz\", \"tkcanvas\", \"tpic\", \"unknown\", \"vttek\", \"x11\", \"xlib\", \"xterm\"]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Settings.available_terminals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "#<File:plot.png>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Plot.new('sin(x)').to_png('plot.png')\n",
    "File.open('plot.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "svg_contents = Plot.new('sin(x)').to_svg(size: [600, 600])\n",
    "IRuby.display(svg_contents, mime: 'image/svg+xml')"
   ]
  }
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