{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "\n",
    "from PlottingServers import Plot1DServer, Plot2DServer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://localhost:5006/?bokeh-session-id=aVLQCbgQkJCVnxR54qR4jkhW4Qzc4QGQHXcLhkMKlo2e\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<script type='text/javascript'>window.open('http://localhost:5006/?bokeh-session-id=aVLQCbgQkJCVnxR54qR4jkhW4Qzc4QGQHXcLhkMKlo2e', '_blank');</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ps1 = Plot1DServer({'title':'test', 'xlabel':'numbers', 'ylabel':'ja'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "ps1.update(np.linspace(0,1,100), np.random.rand(100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "http://localhost:5006/?bokeh-session-id=hVPTw4AmHaVbC7yvfyHlW48GSCsqAG7v4dHmVTFwOYYy\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<script type='text/javascript'>window.open('http://localhost:5006/?bokeh-session-id=hVPTw4AmHaVbC7yvfyHlW48GSCsqAG7v4dHmVTFwOYYy', '_blank');</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ps2d = Plot2DServer({'title':'test', 'xlabel':'numbers', 'ylabel':'ja'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "ps2d.update(np.random.random((50,100))*100,[0,2,0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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