hoge.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "true"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "require 'nyaplot'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Object"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "include Nyaplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img 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  function searchCell(uuid){\\n     var n = IPython.notebook.ncells();\\n     for(var i=0; i<n; i++){\\n       var cell = IPython.notebook.get_cell(i);\\n       var outputs = cell.output_area.outputs.filter(function(out){\\n         var html = out.data[\\\"text/html\\\"];\\n         if(typeof html == \\\"undefined\\\")return false;\\n         if(html.includes(uuid))return true;\\n         return false;\\n       });\\n       if(outputs.length>0)return cell;\\n     }\\n     return null;\\n   }\\n\\n   if(typeof window.IPython != \\\"undefined\\\"){\\n     pr.then(function(selection){\\n       try{\\n         var html = selection.node().outerHTML;\\n         var cell = searchCell(vis_id);\\n         if(cell == null)throw new Error(\\\"The cell whose id is \\\" + vis_id + \\\" not found.\\\");\\n         cell.output_area.outputs[0].data[\\\"text/html\\\"] = html;\\n       }\\n       catch(e){\\n         console.warn(\\\"Maybe the front-end API of Jupyter has changed.\\\\nmessage:\\\" + e.message);\\n       }\\n     });\\n   }\\n });\\n</script>\\n\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = []; y = []; theta = 0.85; a=1\n",
    "while theta < 14*Math::PI do\n",
    "  x.push(a*Math::cos(theta)/theta)\n",
    "  y.push(a*Math::sin(theta)/theta)\n",
    "  theta += 0.1\n",
    "end\n",
    "\n",
    "Plot.from({x: x, y: y}).line(x: :x, y: :y).to_png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id='vis-ebf3acb9-e93b-4d1d-b552-833537e494c9'></div>\n",
       "<script>\n",
       " require.config({paths: {\n",
       "   Nyaplot: \"https://cdn.rawgit.com/domitry/Nyaplotjs/a885e2d919adeb6919bf256fd078ea36b052f2e7/release/nyaplot\"\n",
       " }});\n",
       "\n",
       " require([\"Nyaplot\"], function(Nyaplot){\n",
       "   Nyaplot.core.parse('#vis-ebf3acb9-e93b-4d1d-b552-833537e494c9', 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@props={:type=>:linear, :range=>[400, 0], :domain=>[-0.21702765407205366, 0.8838593001650503]}>}>, @title=#<Nyaplot::Layers::Label:0x00000003113ae8 @uuid=\"4af10828-238d-4bf2-b341-f2476887cbe9\", @props={:dx=>35, :text=>\"\", :font_size=>26, :text_anchor=>:start, :yalign=>:center, :xalign=>:center, :margin=>{:top=>0, :bottom=>20, :left=>5, :right=>5}}>, @xlabel=nil, @ylabel=nil>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = []; y = []; theta = 0.85; a=1\n",
    "while theta < 14*Math::PI do\n",
    "  x.push(a*Math::cos(theta)/theta)\n",
    "  y.push(a*Math::sin(theta)/theta)\n",
    "  theta += 0.1\n",
    "end\n",
    "\n",
    "Plot.from({x: x, y: y}).line(x: :x, y: :y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "x = []; y = []; theta = 0.85; a=1\n",
    "while theta < 14*Math::PI do\n",
    "  x.push(a*Math::cos(theta)/theta)\n",
    "  y.push(a*Math::sin(theta)/theta)\n",
    "  theta += 0.1\n",
    "end\n",
    "\n",
    "Plot.from({x: x, y: y}).line(x: :x, y: :y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "Hello, world!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Ruby",
   "language": "ruby",
   "name": "ruby"
  },
  "language_info": {
   "file_extension": ".rb",
   "mimetype": "application/x-ruby",
   "name": "ruby",
   "version": "2.1.5"
  }
 },
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}