{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Plots.ji for module Plots.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Plots.jl] Default backend: immerse\n",
      "[Plots.jl] Initializing backend: immerse"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Method definition draw(Compose.Backend, Compose.Context) in module Compose at /home/tom/.julia/v0.4/Compose/src/container.jl:404 overwritten in module Immerse at /home/tom/.julia/v0.4/Immerse/src/compose.jl:33.\n",
      "WARNING: Method definition display(Base.REPL.REPLDisplay{R<:Base.REPL.AbstractREPL}, Base.Multimedia.MIME{:text/html}, Gadfly.Plot) in module Gadfly at /home/tom/.julia/v0.4/Gadfly/src/Gadfly.jl:969 overwritten in module Immerse at /home/tom/.julia/v0.4/Immerse/src/display_gadfly.jl:144.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "         color: grays\n",
      "        legend: false\n",
      "      linetype: scatter\n",
      "   markershape: ellipse\n",
      "    markersize: [10,20]\n",
      "         xflip: true\n",
      "             z: Any["
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Plot{Plots.ImmersePackage() n=1}"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.48255301914412563,0.4562746884645996,0.22481245465578703,0.0287899075721465,0.06301634427609737,0.13333875895800662,0.05342323489623402,0.04604121401803263,0.14325906424545365,0.2936495734197202,0.03287131848239011,0.04086392210130496,0.01924578936332244,0.03420298960455859,0.18704000766346596,0.07618195078668433,0.1597494305819882,0.0020090319997894124,0.2462953575114537,0.4058793179615059,0.370101565420869,0.1935107753886276,0.0749143367596734,0.4927287609490649,0.289079501040884,0.09003624755872575,0.13855115548955843,0.14920922850372542,0.4478118430746576,0.04211836015779569,0.48208599928973683,0.44641014578771254,0.4512328704720525,0.161280396647147,0.4613689442068072,0.3773129249388232,0.3939279368236175,0.11718117941084949,0.11785206500578904,0.36892177960516515,0.23661772623674326,0.21657954429817616,0.1532409170580602,0.09383981813710829,0.34614551048607,0.1845202917856863,0.49231404871297246,0.4876586953891755,0.47596614227097,0.11160547416713018,0.4867010181881086,0.01480678802183677,0.11603749304116628,0.426702388660124,0.1832188999726274,0.4738268705621309,0.06150377932223794,0.1272072449595314,0.2651894966322761,0.04320541085678209,0.11542812174173633,0.11129914819153863,0.1417851696136061,0.45818388814228506,0.2561503457659502,0.19250976970447842,0.24059294266395037,0.352250800843279,0.14307723208543988,0.29183062880274235,0.09177620797961494,0.012821608666000683,0.23083717043155438,0.38199094805408285,0.09911548231525047,0.310674119068993,0.35854030807397086,0.07763732644735932,0.3722899482797497,0.3433574379935789,0.4154360061711473,0.17345406462611113,0.007864253049862047,0.3575690274242902,0.43835492228008643,0.06460572550825039,0.4411956751206003,0.346412304270455,0.32927154359149724,0.4315713258729228,0.23146336582663896,0.3924973863534311,0.03830667484939676,0.28147193348446553,0.2529737418525031,0.23150097537174052,0.2039245623970476,0.14570648035055944,0.3945969270711229,0.434511144406047]]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "using Plots\n",
    "default(size=(400,250), leg=false)\n",
    "y = rand(100)\n",
    "p = scatter(Any[y], z=Any[abs(y-.5)], m=[10,20], leg=false, c=:grays, xaxis=:flip)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "Plot{Plots.ImmersePackage() n=4}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scatter!(linspace(0,1,100), z=Any[y-0.5], c=:bluesreds, xflip=false)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Plots.ji for module Plots.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[Plots.jl] Default backend: immerse"
     ]
    },
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\"\n",
       "     width=\"250.0mm\" height=\"25.0mm\"\n",
       "     shape-rendering=\"crispEdges\">\n",
       "<rect x=\"0.0mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#F2F2F2\" stroke=\"none\" />\n",
       "<rect x=\"2.4752475247524752mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#F0F0F0\" stroke=\"none\" />\n",
       "<rect x=\"4.9504950495049505mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#EEEEEE\" stroke=\"none\" />\n",
       "<rect x=\"7.425742574257425mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#EBEBEB\" stroke=\"none\" />\n",
       "<rect x=\"9.900990099009901mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#E9E9E9\" stroke=\"none\" />\n",
       "<rect x=\"12.376237623762377mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#E7E7E7\" stroke=\"none\" />\n",
       "<rect x=\"14.85148514851485mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#E4E4E4\" stroke=\"none\" />\n",
       "<rect x=\"17.326732673267326mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#E2E2E2\" stroke=\"none\" />\n",
       "<rect x=\"19.801980198019802mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#E0E0E0\" stroke=\"none\" />\n",
       "<rect x=\"22.277227722772277mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#DEDEDE\" stroke=\"none\" />\n",
       "<rect x=\"24.752475247524753mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#DBDBDB\" stroke=\"none\" />\n",
       "<rect x=\"27.22772277227723mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#D9D9D9\" stroke=\"none\" />\n",
       "<rect x=\"29.7029702970297mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#D7D7D7\" stroke=\"none\" />\n",
       "<rect x=\"32.17821782178218mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#D4D4D4\" stroke=\"none\" />\n",
       "<rect x=\"34.65346534653465mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#D2D2D2\" stroke=\"none\" />\n",
       "<rect x=\"37.12871287128713mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#D0D0D0\" stroke=\"none\" />\n",
       "<rect x=\"39.603960396039604mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#CECECE\" stroke=\"none\" />\n",
       "<rect x=\"42.07920792079208mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#CBCBCB\" stroke=\"none\" />\n",
       "<rect x=\"44.554455445544555mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#C9C9C9\" stroke=\"none\" />\n",
       "<rect x=\"47.02970297029703mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#C7C7C7\" stroke=\"none\" />\n",
       "<rect x=\"49.504950495049506mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#C4C4C4\" stroke=\"none\" />\n",
       "<rect x=\"51.98019801980198mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#C2C2C2\" stroke=\"none\" />\n",
       "<rect x=\"54.45544554455446mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#C0C0C0\" stroke=\"none\" />\n",
       "<rect x=\"56.93069306930693mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#BDBDBD\" stroke=\"none\" />\n",
       "<rect x=\"59.4059405940594mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#BBBBBB\" stroke=\"none\" />\n",
       "<rect x=\"61.88118811881188mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#B9B9B9\" stroke=\"none\" />\n",
       "<rect x=\"64.35643564356435mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#B7B7B7\" stroke=\"none\" />\n",
       "<rect x=\"66.83168316831683mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#B4B4B4\" stroke=\"none\" />\n",
       "<rect x=\"69.3069306930693mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#B2B2B2\" stroke=\"none\" />\n",
       "<rect x=\"71.78217821782178mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#B0B0B0\" stroke=\"none\" />\n",
       "<rect x=\"74.25742574257426mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#ADADAD\" stroke=\"none\" />\n",
       "<rect x=\"76.73267326732673mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#ABABAB\" stroke=\"none\" />\n",
       "<rect x=\"79.20792079207921mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#A9A9A9\" stroke=\"none\" />\n",
       "<rect x=\"81.68316831683168mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#A7A7A7\" stroke=\"none\" />\n",
       "<rect x=\"84.15841584158416mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#A4A4A4\" stroke=\"none\" />\n",
       "<rect x=\"86.63366336633663mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#A2A2A2\" stroke=\"none\" />\n",
       "<rect x=\"89.10891089108911mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#A0A0A0\" stroke=\"none\" />\n",
       "<rect x=\"91.58415841584159mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#9D9D9D\" stroke=\"none\" />\n",
       "<rect x=\"94.05940594059406mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#9B9B9B\" stroke=\"none\" />\n",
       "<rect x=\"96.53465346534654mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#999999\" stroke=\"none\" />\n",
       "<rect x=\"99.00990099009901mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#969696\" stroke=\"none\" />\n",
       "<rect x=\"101.48514851485149mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#949494\" stroke=\"none\" />\n",
       "<rect x=\"103.96039603960396mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#929292\" stroke=\"none\" />\n",
       "<rect x=\"106.43564356435644mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#909090\" stroke=\"none\" />\n",
       "<rect x=\"108.91089108910892mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#8D8D8D\" stroke=\"none\" />\n",
       "<rect x=\"111.38613861386139mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#8B8B8B\" stroke=\"none\" />\n",
       "<rect x=\"113.86138613861387mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#898989\" stroke=\"none\" />\n",
       "<rect x=\"116.33663366336634mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#868686\" stroke=\"none\" />\n",
       "<rect x=\"118.8118811881188mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#848484\" stroke=\"none\" />\n",
       "<rect x=\"121.28712871287128mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#828282\" stroke=\"none\" />\n",
       "<rect x=\"123.76237623762376mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#808080\" stroke=\"none\" />\n",
       "<rect x=\"126.23762376237623mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#7D7D7D\" stroke=\"none\" />\n",
       "<rect x=\"128.7128712871287mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#7B7B7B\" stroke=\"none\" />\n",
       "<rect x=\"131.1881188118812mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#797979\" stroke=\"none\" />\n",
       "<rect x=\"133.66336633663366mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#767676\" stroke=\"none\" />\n",
       "<rect x=\"136.13861386138615mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#747474\" stroke=\"none\" />\n",
       "<rect x=\"138.6138613861386mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#727272\" stroke=\"none\" />\n",
       "<rect x=\"141.0891089108911mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#6F6F6F\" stroke=\"none\" />\n",
       "<rect x=\"143.56435643564356mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#6D6D6D\" stroke=\"none\" />\n",
       "<rect x=\"146.03960396039605mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#6B6B6B\" stroke=\"none\" />\n",
       "<rect x=\"148.5148514851485mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#696969\" stroke=\"none\" />\n",
       "<rect x=\"150.990099009901mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#666666\" stroke=\"none\" />\n",
       "<rect x=\"153.46534653465346mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#646464\" stroke=\"none\" />\n",
       "<rect x=\"155.94059405940595mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#626262\" stroke=\"none\" />\n",
       "<rect x=\"158.41584158415841mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#5F5F5F\" stroke=\"none\" />\n",
       "<rect x=\"160.89108910891088mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#5D5D5D\" stroke=\"none\" />\n",
       "<rect x=\"163.36633663366337mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#5B5B5B\" stroke=\"none\" />\n",
       "<rect x=\"165.84158415841583mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#585858\" stroke=\"none\" />\n",
       "<rect x=\"168.31683168316832mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#565656\" stroke=\"none\" />\n",
       "<rect x=\"170.79207920792078mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#545454\" stroke=\"none\" />\n",
       "<rect x=\"173.26732673267327mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#525252\" stroke=\"none\" />\n",
       "<rect x=\"175.74257425742573mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#4F4F4F\" stroke=\"none\" />\n",
       "<rect x=\"178.21782178217822mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#4D4D4D\" stroke=\"none\" />\n",
       "<rect x=\"180.69306930693068mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#4B4B4B\" stroke=\"none\" />\n",
       "<rect x=\"183.16831683168317mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#484848\" stroke=\"none\" />\n",
       "<rect x=\"185.64356435643563mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#464646\" stroke=\"none\" />\n",
       "<rect x=\"188.11881188118812mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#444444\" stroke=\"none\" />\n",
       "<rect x=\"190.59405940594058mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#424242\" stroke=\"none\" />\n",
       "<rect x=\"193.06930693069307mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#3F3F3F\" stroke=\"none\" />\n",
       "<rect x=\"195.54455445544554mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#3D3D3D\" stroke=\"none\" />\n",
       "<rect x=\"198.01980198019803mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#3B3B3B\" stroke=\"none\" />\n",
       "<rect x=\"200.4950495049505mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#383838\" stroke=\"none\" />\n",
       "<rect x=\"202.97029702970298mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#363636\" stroke=\"none\" />\n",
       "<rect x=\"205.44554455445544mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#343434\" stroke=\"none\" />\n",
       "<rect x=\"207.92079207920793mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#313131\" stroke=\"none\" />\n",
       "<rect x=\"210.3960396039604mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#2F2F2F\" stroke=\"none\" />\n",
       "<rect x=\"212.87128712871288mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#2D2D2D\" stroke=\"none\" />\n",
       "<rect x=\"215.34653465346534mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#2B2B2B\" stroke=\"none\" />\n",
       "<rect x=\"217.82178217821783mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#282828\" stroke=\"none\" />\n",
       "<rect x=\"220.2970297029703mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#262626\" stroke=\"none\" />\n",
       "<rect x=\"222.77227722772278mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#242424\" stroke=\"none\" />\n",
       "<rect x=\"225.24752475247524mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#212121\" stroke=\"none\" />\n",
       "<rect x=\"227.72277227722773mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#1F1F1F\" stroke=\"none\" />\n",
       "<rect x=\"230.1980198019802mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#1D1D1D\" stroke=\"none\" />\n",
       "<rect x=\"232.67326732673268mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#1B1B1B\" stroke=\"none\" />\n",
       "<rect x=\"235.14851485148515mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#181818\" stroke=\"none\" />\n",
       "<rect x=\"237.6237623762376mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#161616\" stroke=\"none\" />\n",
       "<rect x=\"240.0990099009901mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#141414\" stroke=\"none\" />\n",
       "<rect x=\"242.57425742574256mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#111111\" stroke=\"none\" />\n",
       "<rect x=\"245.04950495049505mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#0F0F0F\" stroke=\"none\" />\n",
       "<rect x=\"247.5247524752475mm\" y=\"0.0mm\"\n",
       "      width=\"2.4752475247524752mm\" height=\"25.0mm\"\n",
       "      fill=\"#0D0D0D\" stroke=\"none\" />\n",
       "</svg>"
      ],
      "text/plain": [
       "101-element Array{ColorTypes.RGB{T<:Union{AbstractFloat,FixedPointNumbers.FixedPoint}},1}:\n",
       " RGB{Float64}(0.95,0.95,0.95)   \n",
       " RGB{Float64}(0.941,0.941,0.941)\n",
       " RGB{Float64}(0.932,0.932,0.932)\n",
       " RGB{Float64}(0.923,0.923,0.923)\n",
       " RGB{Float64}(0.914,0.914,0.914)\n",
       " RGB{Float64}(0.905,0.905,0.905)\n",
       " RGB{Float64}(0.896,0.896,0.896)\n",
       " RGB{Float64}(0.887,0.887,0.887)\n",
       " RGB{Float64}(0.878,0.878,0.878)\n",
       " RGB{Float64}(0.869,0.869,0.869)\n",
       " RGB{Float64}(0.86,0.86,0.86)   \n",
       " RGB{Float64}(0.851,0.851,0.851)\n",
       " RGB{Float64}(0.842,0.842,0.842)\n",
       " ⋮                              \n",
       " RGB{Float64}(0.149,0.149,0.149)\n",
       " RGB{Float64}(0.14,0.14,0.14)   \n",
       " RGB{Float64}(0.131,0.131,0.131)\n",
       " RGB{Float64}(0.122,0.122,0.122)\n",
       " RGB{Float64}(0.113,0.113,0.113)\n",
       " RGB{Float64}(0.104,0.104,0.104)\n",
       " RGB{Float64}(0.095,0.095,0.095)\n",
       " RGB{Float64}(0.086,0.086,0.086)\n",
       " RGB{Float64}(0.077,0.077,0.077)\n",
       " RGB{Float64}(0.068,0.068,0.068)\n",
       " RGB{Float64}(0.059,0.059,0.059)\n",
       " RGB{Float64}(0.05,0.05,0.05)   "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "using Plots\n",
    "#grad = Plots.ColorGradient([colorant\"blue\", RGB(0.7,0.85,0.7), colorant\"darkred\"], [0,0.5,1])\n",
    "#grad = Plots.ColorGradient(:bluesreds)\n",
    "grad = Plots.ColorGradient([RGB(.95,.95,.95),RGB(.05,.05,.05)])\n",
    "#grad = Plots.ColorGradient([\n",
    "#    colorant\"lightyellow\",\n",
    "#    colorant\"orange\",\n",
    "#    colorant\"darkred\",\n",
    "#    #colorant\"black\"\n",
    "#    ])\n",
    "#grad = Plots.ColorGradient(:heat)\n",
    "colors = RGB[Plots.getColor(grad, x) for x in 0:0.01:1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RGB[@colorant_str(\"green\"),@colorant_str(\"lightgreen\"),@colorant_str(\"darkgreen\"),RGB(0,1,0)] = ColorTypes.RGB[RGB{U8}(0.0,0.502,0.0),RGB{U8}(0.565,0.933,0.565),RGB{U8}(0.0,0.392,0.0),RGB{U8}(0.0,1.0,0.0)]"
     ]
    },
    {
     "data": {
      "image/svg+xml": [
       "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n",
       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
       " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
       "<svg xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\"\n",
       "     width=\"60.0mm\" height=\"25.0mm\"\n",
       "     shape-rendering=\"crispEdges\">\n",
       "<rect x=\"0.0mm\" y=\"0.0mm\"\n",
       "      width=\"14.0mm\" height=\"25.0mm\"\n",
       "      fill=\"#008000\" stroke=\"none\" />\n",
       "<rect x=\"15.0mm\" y=\"0.0mm\"\n",
       "      width=\"14.0mm\" height=\"25.0mm\"\n",
       "      fill=\"#90EE90\" stroke=\"none\" />\n",
       "<rect x=\"30.0mm\" y=\"0.0mm\"\n",
       "      width=\"14.0mm\" height=\"25.0mm\"\n",
       "      fill=\"#006400\" stroke=\"none\" />\n",
       "<rect x=\"45.0mm\" y=\"0.0mm\"\n",
       "      width=\"14.0mm\" height=\"25.0mm\"\n",
       "      fill=\"#00FF00\" stroke=\"none\" />\n",
       "</svg>"
      ],
      "text/plain": [
       "4-element Array{ColorTypes.RGB{T<:Union{AbstractFloat,FixedPointNumbers.FixedPoint}},1}:\n",
       " RGB{U8}(0.0,0.502,0.0)    \n",
       " RGB{U8}(0.565,0.933,0.565)\n",
       " RGB{U8}(0.0,0.392,0.0)    \n",
       " RGB{U8}(0.0,1.0,0.0)      "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "@show RGB[colorant\"green\", colorant\"lightgreen\", colorant\"darkgreen\", RGB(0,1,0)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Julia 0.4.0-rc4",
   "language": "julia",
   "name": "julia-0.4"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "0.4.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}