4bertholdxor.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from systemml import MLContext, dml, jvm_stdout\n",
    "ml = MLContext(sc)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from itertools import chain\n",
    "from pyspark.sql import DataFrame\n",
    "\n",
    "\n",
    "def _sort_transpose_tuple(tup):\n",
    "    x, y = tup\n",
    "    return x, tuple(zip(*sorted(y, key=lambda v_k: v_k[1], reverse=False)))[0]\n",
    "\n",
    "\n",
    "def transpose(X):\n",
    "    \"\"\"Transpose a PySpark DataFrame.\n",
    "\n",
    "    Parameters\n",
    "    ----------\n",
    "    X : PySpark ``DataFrame``\n",
    "        The ``DataFrame`` that should be tranposed.\n",
    "    \"\"\"\n",
    "    # validate\n",
    "    if not isinstance(X, DataFrame):\n",
    "        raise TypeError('X should be a DataFrame, not a %s' \n",
    "                        % type(X))\n",
    "\n",
    "    cols = X.columns\n",
    "    n_features = len(cols)\n",
    "\n",
    "    # Sorry for this unreadability...\n",
    "    return X.rdd.flatMap( # make into an RDD\n",
    "        lambda xs: chain(xs)).zipWithIndex().groupBy( # zip index\n",
    "        lambda val_idx: val_idx[1] % n_features).sortBy( # group by index % n_features as key\n",
    "        lambda grp_res: grp_res[0]).map( # sort by index % n_features key\n",
    "        lambda grp_res: _sort_transpose_tuple(grp_res)).map( # maintain order\n",
    "        lambda key_col: key_col[1]).toDF() # return to DF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X = spark.createDataFrame([1,2,3,4,5,6],IntegerType())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----+\n",
      "|value|\n",
      "+-----+\n",
      "|    1|\n",
      "|    2|\n",
      "|    3|\n",
      "|    4|\n",
      "|    5|\n",
      "|    6|\n",
      "+-----+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "X.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Xt = transpose(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DataFrame[_1: bigint, _2: bigint, _3: bigint, _4: bigint, _5: bigint, _6: bigint]"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Xt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LSTM start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "script = \"\"\"\n",
    "source(\"nn/layers/affine.dml\") as affine\n",
    "source(\"nn/layers/conv2d_builtin.dml\") as conv2d\n",
    "source(\"nn/layers/cross_entropy_loss.dml\") as cross_entropy_loss\n",
    "source(\"nn/layers/dropout.dml\") as dropout\n",
    "source(\"nn/layers/l2_reg.dml\") as l2_reg\n",
    "source(\"nn/layers/max_pool2d_builtin.dml\") as max_pool2d\n",
    "source(\"nn/layers/relu.dml\") as relu\n",
    "source(\"nn/layers/softmax.dml\") as softmax\n",
    "source(\"nn/layers/sigmoid.dml\") as sigmoid\n",
    "source(\"nn/optim/sgd_nesterov.dml\") as sgd_nesterov\n",
    "source(\"nn/layers/lstm.dml\") as lstm\n",
    "#\n",
    "\n",
    "\n",
    "[W1, b1, out01, c01] = lstm::init(1,1,1)\n",
    "\n",
    "\n",
    "\n",
    "feedForward = function (matrix[double] X,\n",
    "                        matrix[double] W,\n",
    "                        matrix[double] b,\n",
    "                        matrix[double] out0, matrix[double] c0) \n",
    "                    return (matrix[double] z2,\n",
    "                            matrix[double] a2,\n",
    "                            matrix[double] c,\n",
    "                            matrix[double] cache_out,\n",
    "                            matrix[double] cache_c,\n",
    "                            matrix[double] cache_ifog) {\n",
    "    T = length(X)\n",
    "    [z2, c, cache_out, cache_c, cache_ifog] = lstm::forward(X, W, b,T,1,TRUE,out0,c0)\n",
    "    a2 = sigmoid::forward(z2)\n",
    "}\n",
    "\n",
    "gradient = function(matrix[double] X,\n",
    "                        matrix[double] W,\n",
    "                        matrix[double] b,\n",
    "                        matrix[double] out0, matrix[double] c0) \n",
    "                    return (matrix[double] dX,\n",
    "                        matrix[double] dW,\n",
    "                        matrix[double] db,\n",
    "                        matrix[double] dout0,\n",
    "                        matrix[double] dc0) {\n",
    "    #Compute derivative with respect to W and W2 for a given X and y:\n",
    "    [z2, a2, c, cache_out, cache_c, cache_ifog] = feedForward(X,W,b,out0,c0)\n",
    "    loss = cross_entropy_loss::backward(X, a2)\n",
    "    \n",
    "    smpz3 =  sigmoid::backward(loss,z2) \n",
    "    T = length(X)\n",
    "    [dX,dW,db,dout0,dc0] = lstm::backward(smpz3,c,X,W,b,T,1,TRUE,out0,c0,cache_out, cache_c, cache_ifog)\n",
    "    \n",
    "}\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "max_iterations = 10000\n",
    "iter = 0\n",
    "learningRate = 0.001\n",
    "\n",
    "\n",
    "\n",
    "while( iter < max_iterations ){\n",
    "   [a2,z2, c, cache_out, cache_c, cache_ifog] = feedForward(X,W1,b1,out01,c01)\n",
    "   [dX,dW,db,dout0,dc0] = gradient(X,W1,b1,out01,c01)\n",
    "   #print (toString(W1)) \n",
    "   #print (toString(dW))\n",
    "    #update\n",
    "    #W1 = W1 - dW\n",
    "    W1 = W1 - learningRate * dW \n",
    "    iter = iter + 1\n",
    "    if (iter %% 100 == 0) {\n",
    "        loss = cross_entropy_loss::backward(X, a2)\n",
    "        print (toString(loss))\n",
    "    }\n",
    "}\n",
    "\n",
    "[a2,z2, c, cache_out, cache_c, cache_ifog] = feedForward(X,W1,b1,out01,c01)\n",
    "\n",
    "\"\"\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.168 0.102 0.058 0.034 0.021 0.013\n",
      "\n",
      "0.166 0.100 0.057 0.033 0.020 0.012\n",
      "\n",
      "0.165 0.099 0.056 0.032 0.019 0.012\n",
      "\n",
      "0.164 0.098 0.055 0.032 0.019 0.011\n",
      "\n",
      "0.163 0.096 0.054 0.031 0.018 0.011\n",
      "\n",
      "0.162 0.095 0.053 0.030 0.018 0.011\n",
      "\n",
      "0.160 0.094 0.052 0.030 0.017 0.010\n",
      "\n",
      "0.159 0.093 0.051 0.029 0.017 0.010\n",
      "\n",
      "0.158 0.092 0.050 0.028 0.016 0.010\n",
      "\n",
      "0.157 0.091 0.050 0.028 0.016 0.009\n",
      "\n",
      "0.156 0.090 0.049 0.027 0.016 0.009\n",
      "\n",
      "0.154 0.089 0.048 0.027 0.015 0.009\n",
      "\n",
      "0.153 0.088 0.047 0.026 0.015 0.009\n",
      "\n",
      "0.152 0.087 0.047 0.026 0.015 0.008\n",
      "\n",
      "0.151 0.086 0.046 0.025 0.014 0.008\n",
      "\n",
      "0.150 0.085 0.045 0.025 0.014 0.008\n",
      "\n",
      "0.148 0.084 0.045 0.024 0.014 0.008\n",
      "\n",
      "0.147 0.083 0.044 0.024 0.013 0.007\n",
      "\n",
      "0.146 0.082 0.043 0.023 0.013 0.007\n",
      "\n",
      "0.145 0.081 0.043 0.023 0.013 0.007\n",
      "\n",
      "0.144 0.081 0.042 0.023 0.012 0.007\n",
      "\n",
      "0.142 0.080 0.042 0.022 0.012 0.007\n",
      "\n",
      "0.141 0.079 0.041 0.022 0.012 0.006\n",
      "\n",
      "0.140 0.078 0.041 0.021 0.011 0.006\n",
      "\n",
      "0.139 0.077 0.040 0.021 0.011 0.006\n",
      "\n",
      "0.137 0.076 0.039 0.021 0.011 0.006\n",
      "\n",
      "0.136 0.076 0.039 0.020 0.011 0.006\n",
      "\n",
      "0.135 0.075 0.038 0.020 0.011 0.006\n",
      "\n",
      "0.133 0.074 0.038 0.020 0.010 0.005\n",
      "\n",
      "0.132 0.073 0.037 0.019 0.010 0.005\n",
      "\n",
      "0.131 0.072 0.037 0.019 0.010 0.005\n",
      "\n",
      "0.129 0.071 0.036 0.019 0.010 0.005\n",
      "\n",
      "0.128 0.071 0.036 0.018 0.009 0.005\n",
      "\n",
      "0.127 0.070 0.035 0.018 0.009 0.005\n",
      "\n",
      "0.125 0.069 0.035 0.018 0.009 0.005\n",
      "\n",
      "0.124 0.068 0.034 0.017 0.009 0.005\n",
      "\n",
      "0.122 0.067 0.034 0.017 0.009 0.004\n",
      "\n",
      "0.121 0.066 0.033 0.017 0.009 0.004\n",
      "\n",
      "0.119 0.066 0.033 0.017 0.008 0.004\n",
      "\n",
      "0.117 0.065 0.033 0.016 0.008 0.004\n",
      "\n",
      "0.116 0.064 0.032 0.016 0.008 0.004\n",
      "\n",
      "0.114 0.063 0.032 0.016 0.008 0.004\n",
      "\n",
      "0.112 0.062 0.031 0.015 0.008 0.004\n",
      "\n",
      "0.110 0.061 0.030 0.015 0.008 0.004\n",
      "\n",
      "0.108 0.060 0.030 0.015 0.007 0.004\n",
      "\n",
      "0.106 0.058 0.029 0.015 0.007 0.004\n",
      "\n",
      "0.104 0.057 0.029 0.014 0.007 0.003\n",
      "\n",
      "0.101 0.056 0.028 0.014 0.007 0.003\n",
      "\n",
      "0.098 0.054 0.027 0.014 0.007 0.003\n",
      "\n",
      "0.095 0.052 0.026 0.013 0.006 0.003\n",
      "\n",
      "0.092 0.050 0.025 0.012 0.006 0.003\n",
      "\n",
      "0.088 0.048 0.024 0.012 0.006 0.003\n",
      "\n",
      "0.083 0.044 0.022 0.011 0.005 0.003\n",
      "\n",
      "0.079 0.041 0.020 0.009 0.004 0.002\n",
      "\n",
      "0.076 0.038 0.018 0.008 0.004 0.002\n",
      "\n",
      "0.073 0.036 0.016 0.007 0.003 0.001\n",
      "\n",
      "0.071 0.034 0.015 0.007 0.003 0.001\n",
      "\n",
      "0.069 0.033 0.014 0.006 0.002 0.001\n",
      "\n",
      "0.068 0.032 0.014 0.006 0.002 0.001\n",
      "\n",
      "0.066 0.031 0.013 0.005 0.002 0.001\n",
      "\n",
      "0.065 0.030 0.012 0.005 0.002 0.001\n",
      "\n",
      "0.064 0.029 0.012 0.005 0.002 0.001\n",
      "\n",
      "0.063 0.029 0.012 0.004 0.002 0.001\n",
      "\n",
      "0.063 0.028 0.011 0.004 0.002 0.001\n",
      "\n",
      "0.062 0.028 0.011 0.004 0.001 0.001\n",
      "\n",
      "0.061 0.027 0.011 0.004 0.001 0.000\n",
      "\n",
      "0.061 0.027 0.010 0.004 0.001 0.000\n",
      "\n",
      "0.060 0.026 0.010 0.004 0.001 0.000\n",
      "\n",
      "0.059 0.026 0.010 0.004 0.001 0.000\n",
      "\n",
      "0.059 0.026 0.010 0.003 0.001 0.000\n",
      "\n",
      "0.058 0.025 0.009 0.003 0.001 0.000\n",
      "\n",
      "0.058 0.025 0.009 0.003 0.001 0.000\n",
      "\n",
      "0.057 0.025 0.009 0.003 0.001 0.000\n",
      "\n",
      "0.057 0.024 0.009 0.003 0.001 0.000\n",
      "\n",
      "0.056 0.024 0.009 0.003 0.001 0.000\n",
      "\n",
      "0.056 0.024 0.009 0.003 0.001 0.000\n",
      "\n",
      "0.055 0.023 0.008 0.003 0.001 0.000\n",
      "\n",
      "0.055 0.023 0.008 0.003 0.001 0.000\n",
      "\n",
      "0.054 0.023 0.008 0.003 0.001 0.000\n",
      "\n",
      "0.054 0.023 0.008 0.003 0.001 0.000\n",
      "\n",
      "0.054 0.022 0.008 0.003 0.001 0.000\n",
      "\n",
      "0.053 0.022 0.008 0.003 0.001 0.000\n",
      "\n",
      "0.053 0.022 0.008 0.003 0.001 0.000\n",
      "\n",
      "0.052 0.022 0.008 0.002 0.001 0.000\n",
      "\n",
      "0.052 0.022 0.008 0.002 0.001 0.000\n",
      "\n",
      "0.052 0.021 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.051 0.021 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.051 0.021 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.050 0.021 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.050 0.021 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.050 0.020 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.049 0.020 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.049 0.020 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.049 0.020 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.048 0.020 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.048 0.019 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.048 0.019 0.007 0.002 0.001 0.000\n",
      "\n",
      "0.047 0.019 0.006 0.002 0.001 0.000\n",
      "\n",
      "0.047 0.019 0.006 0.002 0.001 0.000\n",
      "\n",
      "0.047 0.019 0.006 0.002 0.001 0.000\n",
      "\n",
      "SystemML Statistics:\n",
      "Total execution time:\t\t416.543 sec.\n",
      "Number of executed Spark inst:\t0.\n",
      "\n",
      "                                                                                \n",
      "[[-0.04673035 -0.03763982 -0.01890789 -0.00766451 -0.00277908 -0.00094986]]\n"
     ]
    }
   ],
   "source": [
    "prog = dml(script).input(X=Xt)\n",
    "\n",
    "with jvm_stdout():\n",
    "    result = ml.execute(prog)\n",
    "\n",
    "a2 = result.get(\"a2\").toNumPy()\n",
    "print a2\n",
    "\n",
    "#loss = result.get(\"dW\").toNumPy()\n",
    "#print loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "fs = 44100       # sampling rate, Hz, must be integer\n",
    "duration = 0.01\n",
    "f = 440.0        # sine frequency, Hz, may be float\n",
    "sine = (np.sin(2*np.pi*np.arange(fs*duration)*f/fs)).astype(np.float32)\n",
    "cosine = (np.cos(2*np.pi*np.arange(fs*duration)*f/fs)).astype(np.float32)\n",
    "tangens = (np.tan(2*np.pi*np.arange(fs*duration)*f/fs)).astype(np.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pyspark.sql.types import *\n",
    "#,samples.tolist()\n",
    "data = zip(range(len(sine)),sine.tolist(),cosine.tolist(),tangens.tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#ts = spark.createDataFrame(range(len(samples)), IntegerType()).toDF(\"ts\")\n",
    "signal = spark.createDataFrame(data).toDF(\"ts\",\"sine\",\"cosine\",\"tangens\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pixiedust database opened successfully\n",
      "Table VERSION_TRACKER created successfully\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "        <div style=\"margin:10px\">\n",
       "            <a href=\"https://github.com/ibm-cds-labs/pixiedust\" target=\"_new\">\n",
       "                <img src=\"https://github.com/ibm-cds-labs/pixiedust/raw/master/docs/_static/pd_icon32.png\" style=\"float:left;margin-right:10px\"/>\n",
       "            </a>\n",
       "            <span>Pixiedust version 1.0.7</span>\n",
       "        </div>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pixiedust runtime updated. Please restart kernel\n",
      "Table SPARK_PACKAGES created successfully\n",
      "Table USER_PREFERENCES created successfully\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/src/bluemix_jupyter_bundle.v55/notebook/lib/python2.7/site-packages/bokeh/core/json_encoder.py:52: DeprecationWarning: parsing timezone aware datetimes is deprecated; this will raise an error in the future\n",
      "  NP_EPOCH = np.datetime64('1970-01-01T00:00:00Z')\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Table service_connections created successfully\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>Warning: You are not running the latest version of PixieDust. Current is 1.0.7, Latest is 1.0.9</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "                <div>Please copy and run the following command in a new cell to upgrade: <span style=\"background-color:#ececec;font-family:monospace;padding:0 5px\">!pip install --user --upgrade pixiedust</span></div>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>Please restart kernel after upgrading.</div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pixiedust"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "pixiedust": {
     "displayParams": {
      "aggregation": "SUM",
      "handlerId": "lineChart",
      "keyFields": "ts",
      "lineChartType": "subplots",
      "rendererId": "matplotlib",
      "rowCount": "500",
      "valueFields": "cosine,sine,tangens"
     }
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
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       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
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       "                  <i class=\"fa fa-bar-chart\"></i>\n",
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       "                  <span>Bar Chart</span>\n",
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       "                        html=html||\"\";\n",
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       "                            getTargetNode().html( \"Invalid html output: \" + e.message + \"<pre>\" \n",
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       "        \n",
       "        var pattern = \"\\\\w*\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "        var rpattern=new RegExp(pattern,\"g\");\n",
       "        var n = command.match(rpattern);\n",
       "        \n",
       "        var org_params = {}\n",
       "        for (var i=0; i<n.length;i++){\n",
       "            var parts = n[i].split(\"=\")\n",
       "            if (parts[0].trim() == \"org_params\"){\n",
       "                var value = parts[1].trim()\n",
       "                var values = value.substring(1,value.length-1).split(\",\");\n",
       "                for (var p in values){\n",
       "                    org_params[values[p].trim()] = true;\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        var displayParams={}\n",
       "        for (var i = 0; i < n.length; i++){\n",
       "            var parts=n[i].split(\"=\");\n",
       "            var key = parts[0].trim();\n",
       "            var value = parts[1].trim()\n",
       "            if (!key.startsWith(\"nostore_\") && key != \"showchrome\" && key != \"prefix\" && key != \"cell_id\" && key != \"org_params\" && !!!org_params[key]){\n",
       "                displayParams[key] = value.substring(1,value.length-1);\n",
       "            }\n",
       "        }\n",
       "        if(curCell&&curCell.output_area){\n",
       "            curCell._metadata.pixiedust = curCell._metadata.pixiedust || {}\n",
       "            curCell._metadata.pixiedust.displayParams=displayParams\n",
       "            curCell.output_area.outputs=[];\n",
       "            var old_msg_id = curCell.last_msg_id;\n",
       "            if (old_msg_id) {\n",
       "                curCell.kernel.clear_callbacks_for_msg(old_msg_id);\n",
       "            }\n",
       "        }else{\n",
       "            console.log(\"couldn't find the cell\");\n",
       "        }\n",
       "        \n",
       "        $('#wrapperJS1e5812a5').html(\"\")\n",
       "        getTargetNode().html('<div style=\"width:100px;height:60px;left:47%;position:relative\"><i class=\"fa fa-circle-o-notch fa-spin\" style=\"font-size:48px\"></i></div>'+\n",
       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
       "        startWallToWall = new Date().getTime();\n",
       "        \n",
       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
       "    }\n",
       "}\n",
       ")\n",
       "            </script>\n",
       "        \n",
       "                </li>\n",
       "              \n",
       "                <li id=\"menu1e5812a5-lineChart\">\n",
       "                  \n",
       "                  <i class=\"fa fa-line-chart\"></i>\n",
       "                  \n",
       "                  <span>Line Chart</span>\n",
       "                  \n",
       "            <script>\n",
       "                $('#menu1e5812a5-lineChart').on('click', \n",
       "\n",
       "\n",
       "function() {\n",
       "    function getTargetNode(){\n",
       "        var n = $('#' + 'wrapperHTML1e5812a5');\n",
       "        if (n.length == 0 ){\n",
       "            n = $('#wrapperHTML1e5812a5');\n",
       "        }\n",
       "        return n;\n",
       "    }\n",
       "    cellId = typeof cellId === \"undefined\" ? \"\" : cellId;\n",
       "    var curCell=IPython.notebook.get_cells().filter(function(cell){\n",
       "        return cell.cell_id==\"6B2C1D7163E740B88F0D99D600F783E6\".replace(\"cellId\",cellId);\n",
       "    });\n",
       "    curCell=curCell.length>0?curCell[0]:null;\n",
       "    console.log(\"curCell\",curCell);\n",
       "    var startWallToWall;\n",
       "    //Resend the display command\n",
       "    var callbacks = {\n",
       "        shell : {\n",
       "            payload : {\n",
       "                set_next_input : function(payload){\n",
       "                    if (curCell){\n",
       "                        curCell._handle_set_next_input(payload);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "        },\n",
       "        iopub:{\n",
       "            output:function(msg){\n",
       "                console.log(\"msg\", msg);\n",
       "                if (false){\n",
       "                    curCell.output_area.clear_output(false, true);\n",
       "                    curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                    return;\n",
       "                }\n",
       "                var msg_type=msg.header.msg_type;\n",
       "                var content = msg.content;\n",
       "                var executionTime = $(\"#execution1e5812a5\");\n",
       "                if(msg_type===\"stream\"){\n",
       "                    getTargetNode().html(content.text);\n",
       "                }else if (msg_type===\"display_data\" || msg_type===\"execute_result\"){\n",
       "                    var html=null;\n",
       "                    if (!!content.data[\"text/html\"]){\n",
       "                        html=content.data[\"text/html\"];\n",
       "                    }else if (!!content.data[\"image/png\"]){\n",
       "                        html=html||\"\";\n",
       "                        html+=\"<img src='data:image/png;base64,\" +content.data[\"image/png\"]+\"'></img>\";\n",
       "                    }\n",
       "                                                    \n",
       "                    if (!!content.data[\"application/javascript\"]){\n",
       "                        try {\n",
       "                            eval(content.data[\"application/javascript\"]);\n",
       "                        } catch(err) {\n",
       "                            curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                        }                        \n",
       "                        return;\n",
       "                    }\n",
       "                    \n",
       "                    if (html){\n",
       "                        try{\n",
       "                            getTargetNode().html(html);\n",
       "                        }catch(e){\n",
       "                            console.log(\"Invalid html output\", e, html);\n",
       "                            getTargetNode().html( \"Invalid html output: \" + e.message + \"<pre>\" \n",
       "                                + html.replace(/>/g,'&gt;').replace(/</g,'&lt;').replace(/\"/g,'&quot;') + \"<pre>\");\n",
       "                        }\n",
       "\n",
       "                        if(curCell&&curCell.output_area&&curCell.output_area.outputs){\n",
       "                            setTimeout(function(){\n",
       "                                var data = JSON.parse(JSON.stringify(content.data));\n",
       "                                if(!!data[\"text/html\"])data[\"text/html\"]=html;\n",
       "                                function savedData(data){\n",
       "                                    \n",
       "                                    var markup='<style type=\"text/css\">.pd_warning{display:none;}</style>';\n",
       "                                    markup+='<div class=\"pd_warning\"><em>Hey, there\\'s something awesome here! To see it, open this notebook outside GitHub, in a viewer like Jupyter</em></div>';\n",
       "                                    nodes = $.parseHTML(data[\"text/html\"], null, true);\n",
       "                                    var s = $(nodes).wrap(\"<div>\").parent().find(\".pd_save\").not(\".pd_save .pd_save\")\n",
       "                                    s.each(function(){\n",
       "                                        var found = false;\n",
       "                                        if ( $(this).attr(\"id\") ){\n",
       "                                            var n = $(\"#\" + $(this).attr(\"id\"));\n",
       "                                            if (n.length>0){\n",
       "                                                found=true;\n",
       "                                                n.each(function(){\n",
       "                                                    $(this).addClass(\"is-viewer-good\");\n",
       "                                                });\n",
       "                                                markup+=n.wrap(\"<div>\").parent().html();\n",
       "                                            }\n",
       "                                        }else{\n",
       "                                            $(this).addClass(\"is-viewer-good\");\n",
       "                                        }\n",
       "                                        if (!found){\n",
       "                                            markup+=$(this).parent().html();\n",
       "                                        }\n",
       "                                    });\n",
       "                                    data[\"text/html\"] = markup;\n",
       "                                    return data;\n",
       "                                }\n",
       "                                curCell.output_area.outputs.push({\"data\": savedData(data),\"metadata\":content.metadata,\"output_type\":msg_type});\n",
       "                            },2000);\n",
       "                        }\n",
       "                    }\n",
       "                }else if (msg_type === \"error\") {\n",
       "                    require(['base/js/utils'], function(utils) {\n",
       "                        var tb = content.traceback;\n",
       "                        console.log(\"tb\",tb);\n",
       "                        if (tb && tb.length>0){\n",
       "                            var data = tb.reduce(function(res, frame){return res+frame+'\\\\n';},\"\");\n",
       "                            console.log(\"data\",data);\n",
       "                            data = utils.fixConsole(data);\n",
       "                            data = utils.fixCarriageReturn(data);\n",
       "                            data = utils.autoLinkUrls(data);\n",
       "                            getTargetNode().html(\"<pre>\" + data +\"</pre>\");\n",
       "                        }\n",
       "                    });\n",
       "                }\n",
       "\n",
       "                //Append profiling info\n",
       "                if (executionTime.length > 0 && $(\"#execution1e5812a5\").length == 0 ){\n",
       "                    getTargetNode().append(executionTime);\n",
       "                }else if (startWallToWall && $(\"#execution1e5812a5\").length > 0 ){\n",
       "                    $(\"#execution1e5812a5\").append($(\"<div/>\").text(\"Wall to Wall time: \" + ( (new Date().getTime() - startWallToWall)/1000 ) + \"s\"));\n",
       "                }\n",
       "\n",
       "                if (typeof onDisplayDone1e5812a5 != \"undefined\"){\n",
       "                    onDisplayDone1e5812a5();\n",
       "                }\n",
       "                $(document).trigger('pd_event', {type:\"pd_load\", targetNode: getTargetNode()});\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "    \n",
       "    if (IPython && IPython.notebook && IPython.notebook.session && IPython.notebook.session.kernel){\n",
       "        var command = \"display(signal,cell_id='6B2C1D7163E740B88F0D99D600F783E6',nostore_pixiedust='true',rowCount='500',handlerId='lineChart',valueFields='cosine,sine,tangens',rendererId='matplotlib',lineChartType='subplots',keyFields='ts',aggregation='SUM',nostore_cw='1368',org_params='nostore_pixiedust',nostore_bokeh='false',prefix='1e5812a5')\".replace(\"cellId\",cellId);\n",
       "        function addOptions(options, override=true){\n",
       "            function getStringRep(v) {\n",
       "                return \"'\" + v + \"'\";\n",
       "            }\n",
       "            for (var key in (options||{})){\n",
       "                var value = options[key];\n",
       "                var hasValue = value != null && typeof value !== 'undefined' && value !== '';\n",
       "                var replaceValue = hasValue ? (key+\"=\" + getStringRep(value) ) : \"\";\n",
       "                var pattern = (hasValue?\"\":\",\")+\"\\\\s*\" + key + \"\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "                var rpattern=new RegExp(pattern);\n",
       "                var n = command.search(rpattern);\n",
       "                if ( n >= 0 ){\n",
       "                    if (override){\n",
       "                        command = command.replace(rpattern, replaceValue);\n",
       "                    }\n",
       "                }else if (hasValue){\n",
       "                    var n = command.lastIndexOf(\")\");\n",
       "                    command = [command.slice(0, n), (command[n-1]==\"(\"? \"\":\",\") + replaceValue, command.slice(n)].join('')\n",
       "                }        \n",
       "            }\n",
       "        }\n",
       "        if(typeof cellMetadata != \"undefined\" && cellMetadata.displayParams){\n",
       "            addOptions(cellMetadata.displayParams);\n",
       "        }else if (curCell && curCell._metadata.pixiedust ){\n",
       "            addOptions(curCell._metadata.pixiedust.displayParams || {}, ('False'=='True') );\n",
       "        }\n",
       "        addOptions({});\n",
       "        \n",
       "        \n",
       "    \n",
       "\n",
       "        \n",
       "        var pattern = \"\\\\w*\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "        var rpattern=new RegExp(pattern,\"g\");\n",
       "        var n = command.match(rpattern);\n",
       "        \n",
       "        var org_params = {}\n",
       "        for (var i=0; i<n.length;i++){\n",
       "            var parts = n[i].split(\"=\")\n",
       "            if (parts[0].trim() == \"org_params\"){\n",
       "                var value = parts[1].trim()\n",
       "                var values = value.substring(1,value.length-1).split(\",\");\n",
       "                for (var p in values){\n",
       "                    org_params[values[p].trim()] = true;\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        var displayParams={}\n",
       "        for (var i = 0; i < n.length; i++){\n",
       "            var parts=n[i].split(\"=\");\n",
       "            var key = parts[0].trim();\n",
       "            var value = parts[1].trim()\n",
       "            if (!key.startsWith(\"nostore_\") && key != \"showchrome\" && key != \"prefix\" && key != \"cell_id\" && key != \"org_params\" && !!!org_params[key]){\n",
       "                displayParams[key] = value.substring(1,value.length-1);\n",
       "            }\n",
       "        }\n",
       "        if(curCell&&curCell.output_area){\n",
       "            curCell._metadata.pixiedust = curCell._metadata.pixiedust || {}\n",
       "            curCell._metadata.pixiedust.displayParams=displayParams\n",
       "            curCell.output_area.outputs=[];\n",
       "            var old_msg_id = curCell.last_msg_id;\n",
       "            if (old_msg_id) {\n",
       "                curCell.kernel.clear_callbacks_for_msg(old_msg_id);\n",
       "            }\n",
       "        }else{\n",
       "            console.log(\"couldn't find the cell\");\n",
       "        }\n",
       "        \n",
       "        $('#wrapperJS1e5812a5').html(\"\")\n",
       "        getTargetNode().html('<div style=\"width:100px;height:60px;left:47%;position:relative\"><i class=\"fa fa-circle-o-notch fa-spin\" style=\"font-size:48px\"></i></div>'+\n",
       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
       "        startWallToWall = new Date().getTime();\n",
       "        \n",
       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
       "    }\n",
       "}\n",
       ")\n",
       "            </script>\n",
       "        \n",
       "                </li>\n",
       "              \n",
       "                <li id=\"menu1e5812a5-scatterPlot\">\n",
       "                  \n",
       "                  <i class=\"fa fa-circle\"></i>\n",
       "                  \n",
       "                  <span>Scatter Plot</span>\n",
       "                  \n",
       "            <script>\n",
       "                $('#menu1e5812a5-scatterPlot').on('click', \n",
       "\n",
       "\n",
       "function() {\n",
       "    function getTargetNode(){\n",
       "        var n = $('#' + 'wrapperHTML1e5812a5');\n",
       "        if (n.length == 0 ){\n",
       "            n = $('#wrapperHTML1e5812a5');\n",
       "        }\n",
       "        return n;\n",
       "    }\n",
       "    cellId = typeof cellId === \"undefined\" ? \"\" : cellId;\n",
       "    var curCell=IPython.notebook.get_cells().filter(function(cell){\n",
       "        return cell.cell_id==\"6B2C1D7163E740B88F0D99D600F783E6\".replace(\"cellId\",cellId);\n",
       "    });\n",
       "    curCell=curCell.length>0?curCell[0]:null;\n",
       "    console.log(\"curCell\",curCell);\n",
       "    var startWallToWall;\n",
       "    //Resend the display command\n",
       "    var callbacks = {\n",
       "        shell : {\n",
       "            payload : {\n",
       "                set_next_input : function(payload){\n",
       "                    if (curCell){\n",
       "                        curCell._handle_set_next_input(payload);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "        },\n",
       "        iopub:{\n",
       "            output:function(msg){\n",
       "                console.log(\"msg\", msg);\n",
       "                if (false){\n",
       "                    curCell.output_area.clear_output(false, true);\n",
       "                    curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                    return;\n",
       "                }\n",
       "                var msg_type=msg.header.msg_type;\n",
       "                var content = msg.content;\n",
       "                var executionTime = $(\"#execution1e5812a5\");\n",
       "                if(msg_type===\"stream\"){\n",
       "                    getTargetNode().html(content.text);\n",
       "                }else if (msg_type===\"display_data\" || msg_type===\"execute_result\"){\n",
       "                    var html=null;\n",
       "                    if (!!content.data[\"text/html\"]){\n",
       "                        html=content.data[\"text/html\"];\n",
       "                    }else if (!!content.data[\"image/png\"]){\n",
       "                        html=html||\"\";\n",
       "                        html+=\"<img src='data:image/png;base64,\" +content.data[\"image/png\"]+\"'></img>\";\n",
       "                    }\n",
       "                                                    \n",
       "                    if (!!content.data[\"application/javascript\"]){\n",
       "                        try {\n",
       "                            eval(content.data[\"application/javascript\"]);\n",
       "                        } catch(err) {\n",
       "                            curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                        }                        \n",
       "                        return;\n",
       "                    }\n",
       "                    \n",
       "                    if (html){\n",
       "                        try{\n",
       "                            getTargetNode().html(html);\n",
       "                        }catch(e){\n",
       "                            console.log(\"Invalid html output\", e, html);\n",
       "                            getTargetNode().html( \"Invalid html output: \" + e.message + \"<pre>\" \n",
       "                                + html.replace(/>/g,'&gt;').replace(/</g,'&lt;').replace(/\"/g,'&quot;') + \"<pre>\");\n",
       "                        }\n",
       "\n",
       "                        if(curCell&&curCell.output_area&&curCell.output_area.outputs){\n",
       "                            setTimeout(function(){\n",
       "                                var data = JSON.parse(JSON.stringify(content.data));\n",
       "                                if(!!data[\"text/html\"])data[\"text/html\"]=html;\n",
       "                                function savedData(data){\n",
       "                                    \n",
       "                                    var markup='<style type=\"text/css\">.pd_warning{display:none;}</style>';\n",
       "                                    markup+='<div class=\"pd_warning\"><em>Hey, there\\'s something awesome here! To see it, open this notebook outside GitHub, in a viewer like Jupyter</em></div>';\n",
       "                                    nodes = $.parseHTML(data[\"text/html\"], null, true);\n",
       "                                    var s = $(nodes).wrap(\"<div>\").parent().find(\".pd_save\").not(\".pd_save .pd_save\")\n",
       "                                    s.each(function(){\n",
       "                                        var found = false;\n",
       "                                        if ( $(this).attr(\"id\") ){\n",
       "                                            var n = $(\"#\" + $(this).attr(\"id\"));\n",
       "                                            if (n.length>0){\n",
       "                                                found=true;\n",
       "                                                n.each(function(){\n",
       "                                                    $(this).addClass(\"is-viewer-good\");\n",
       "                                                });\n",
       "                                                markup+=n.wrap(\"<div>\").parent().html();\n",
       "                                            }\n",
       "                                        }else{\n",
       "                                            $(this).addClass(\"is-viewer-good\");\n",
       "                                        }\n",
       "                                        if (!found){\n",
       "                                            markup+=$(this).parent().html();\n",
       "                                        }\n",
       "                                    });\n",
       "                                    data[\"text/html\"] = markup;\n",
       "                                    return data;\n",
       "                                }\n",
       "                                curCell.output_area.outputs.push({\"data\": savedData(data),\"metadata\":content.metadata,\"output_type\":msg_type});\n",
       "                            },2000);\n",
       "                        }\n",
       "                    }\n",
       "                }else if (msg_type === \"error\") {\n",
       "                    require(['base/js/utils'], function(utils) {\n",
       "                        var tb = content.traceback;\n",
       "                        console.log(\"tb\",tb);\n",
       "                        if (tb && tb.length>0){\n",
       "                            var data = tb.reduce(function(res, frame){return res+frame+'\\\\n';},\"\");\n",
       "                            console.log(\"data\",data);\n",
       "                            data = utils.fixConsole(data);\n",
       "                            data = utils.fixCarriageReturn(data);\n",
       "                            data = utils.autoLinkUrls(data);\n",
       "                            getTargetNode().html(\"<pre>\" + data +\"</pre>\");\n",
       "                        }\n",
       "                    });\n",
       "                }\n",
       "\n",
       "                //Append profiling info\n",
       "                if (executionTime.length > 0 && $(\"#execution1e5812a5\").length == 0 ){\n",
       "                    getTargetNode().append(executionTime);\n",
       "                }else if (startWallToWall && $(\"#execution1e5812a5\").length > 0 ){\n",
       "                    $(\"#execution1e5812a5\").append($(\"<div/>\").text(\"Wall to Wall time: \" + ( (new Date().getTime() - startWallToWall)/1000 ) + \"s\"));\n",
       "                }\n",
       "\n",
       "                if (typeof onDisplayDone1e5812a5 != \"undefined\"){\n",
       "                    onDisplayDone1e5812a5();\n",
       "                }\n",
       "                $(document).trigger('pd_event', {type:\"pd_load\", targetNode: getTargetNode()});\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "    \n",
       "    if (IPython && IPython.notebook && IPython.notebook.session && IPython.notebook.session.kernel){\n",
       "        var command = \"display(signal,cell_id='6B2C1D7163E740B88F0D99D600F783E6',nostore_pixiedust='true',rowCount='500',handlerId='scatterPlot',valueFields='cosine,sine,tangens',rendererId='matplotlib',lineChartType='subplots',keyFields='ts',aggregation='SUM',nostore_cw='1368',org_params='nostore_pixiedust',nostore_bokeh='false',prefix='1e5812a5')\".replace(\"cellId\",cellId);\n",
       "        function addOptions(options, override=true){\n",
       "            function getStringRep(v) {\n",
       "                return \"'\" + v + \"'\";\n",
       "            }\n",
       "            for (var key in (options||{})){\n",
       "                var value = options[key];\n",
       "                var hasValue = value != null && typeof value !== 'undefined' && value !== '';\n",
       "                var replaceValue = hasValue ? (key+\"=\" + getStringRep(value) ) : \"\";\n",
       "                var pattern = (hasValue?\"\":\",\")+\"\\\\s*\" + key + \"\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "                var rpattern=new RegExp(pattern);\n",
       "                var n = command.search(rpattern);\n",
       "                if ( n >= 0 ){\n",
       "                    if (override){\n",
       "                        command = command.replace(rpattern, replaceValue);\n",
       "                    }\n",
       "                }else if (hasValue){\n",
       "                    var n = command.lastIndexOf(\")\");\n",
       "                    command = [command.slice(0, n), (command[n-1]==\"(\"? \"\":\",\") + replaceValue, command.slice(n)].join('')\n",
       "                }        \n",
       "            }\n",
       "        }\n",
       "        if(typeof cellMetadata != \"undefined\" && cellMetadata.displayParams){\n",
       "            addOptions(cellMetadata.displayParams);\n",
       "        }else if (curCell && curCell._metadata.pixiedust ){\n",
       "            addOptions(curCell._metadata.pixiedust.displayParams || {}, ('False'=='True') );\n",
       "        }\n",
       "        addOptions({});\n",
       "        \n",
       "        \n",
       "    \n",
       "\n",
       "        \n",
       "        var pattern = \"\\\\w*\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "        var rpattern=new RegExp(pattern,\"g\");\n",
       "        var n = command.match(rpattern);\n",
       "        \n",
       "        var org_params = {}\n",
       "        for (var i=0; i<n.length;i++){\n",
       "            var parts = n[i].split(\"=\")\n",
       "            if (parts[0].trim() == \"org_params\"){\n",
       "                var value = parts[1].trim()\n",
       "                var values = value.substring(1,value.length-1).split(\",\");\n",
       "                for (var p in values){\n",
       "                    org_params[values[p].trim()] = true;\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        var displayParams={}\n",
       "        for (var i = 0; i < n.length; i++){\n",
       "            var parts=n[i].split(\"=\");\n",
       "            var key = parts[0].trim();\n",
       "            var value = parts[1].trim()\n",
       "            if (!key.startsWith(\"nostore_\") && key != \"showchrome\" && key != \"prefix\" && key != \"cell_id\" && key != \"org_params\" && !!!org_params[key]){\n",
       "                displayParams[key] = value.substring(1,value.length-1);\n",
       "            }\n",
       "        }\n",
       "        if(curCell&&curCell.output_area){\n",
       "            curCell._metadata.pixiedust = curCell._metadata.pixiedust || {}\n",
       "            curCell._metadata.pixiedust.displayParams=displayParams\n",
       "            curCell.output_area.outputs=[];\n",
       "            var old_msg_id = curCell.last_msg_id;\n",
       "            if (old_msg_id) {\n",
       "                curCell.kernel.clear_callbacks_for_msg(old_msg_id);\n",
       "            }\n",
       "        }else{\n",
       "            console.log(\"couldn't find the cell\");\n",
       "        }\n",
       "        \n",
       "        $('#wrapperJS1e5812a5').html(\"\")\n",
       "        getTargetNode().html('<div style=\"width:100px;height:60px;left:47%;position:relative\"><i class=\"fa fa-circle-o-notch fa-spin\" style=\"font-size:48px\"></i></div>'+\n",
       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
       "        startWallToWall = new Date().getTime();\n",
       "        \n",
       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
       "    }\n",
       "}\n",
       ")\n",
       "            </script>\n",
       "        \n",
       "                </li>\n",
       "              \n",
       "                <li id=\"menu1e5812a5-pieChart\">\n",
       "                  \n",
       "                  <i class=\"fa fa-pie-chart\"></i>\n",
       "                  \n",
       "                  <span>Pie Chart</span>\n",
       "                  \n",
       "            <script>\n",
       "                $('#menu1e5812a5-pieChart').on('click', \n",
       "\n",
       "\n",
       "function() {\n",
       "    function getTargetNode(){\n",
       "        var n = $('#' + 'wrapperHTML1e5812a5');\n",
       "        if (n.length == 0 ){\n",
       "            n = $('#wrapperHTML1e5812a5');\n",
       "        }\n",
       "        return n;\n",
       "    }\n",
       "    cellId = typeof cellId === \"undefined\" ? \"\" : cellId;\n",
       "    var curCell=IPython.notebook.get_cells().filter(function(cell){\n",
       "        return cell.cell_id==\"6B2C1D7163E740B88F0D99D600F783E6\".replace(\"cellId\",cellId);\n",
       "    });\n",
       "    curCell=curCell.length>0?curCell[0]:null;\n",
       "    console.log(\"curCell\",curCell);\n",
       "    var startWallToWall;\n",
       "    //Resend the display command\n",
       "    var callbacks = {\n",
       "        shell : {\n",
       "            payload : {\n",
       "                set_next_input : function(payload){\n",
       "                    if (curCell){\n",
       "                        curCell._handle_set_next_input(payload);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "        },\n",
       "        iopub:{\n",
       "            output:function(msg){\n",
       "                console.log(\"msg\", msg);\n",
       "                if (false){\n",
       "                    curCell.output_area.clear_output(false, true);\n",
       "                    curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                    return;\n",
       "                }\n",
       "                var msg_type=msg.header.msg_type;\n",
       "                var content = msg.content;\n",
       "                var executionTime = $(\"#execution1e5812a5\");\n",
       "                if(msg_type===\"stream\"){\n",
       "                    getTargetNode().html(content.text);\n",
       "                }else if (msg_type===\"display_data\" || msg_type===\"execute_result\"){\n",
       "                    var html=null;\n",
       "                    if (!!content.data[\"text/html\"]){\n",
       "                        html=content.data[\"text/html\"];\n",
       "                    }else if (!!content.data[\"image/png\"]){\n",
       "                        html=html||\"\";\n",
       "                        html+=\"<img src='data:image/png;base64,\" +content.data[\"image/png\"]+\"'></img>\";\n",
       "                    }\n",
       "                                                    \n",
       "                    if (!!content.data[\"application/javascript\"]){\n",
       "                        try {\n",
       "                            eval(content.data[\"application/javascript\"]);\n",
       "                        } catch(err) {\n",
       "                            curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                        }                        \n",
       "                        return;\n",
       "                    }\n",
       "                    \n",
       "                    if (html){\n",
       "                        try{\n",
       "                            getTargetNode().html(html);\n",
       "                        }catch(e){\n",
       "                            console.log(\"Invalid html output\", e, html);\n",
       "                            getTargetNode().html( \"Invalid html output: \" + e.message + \"<pre>\" \n",
       "                                + html.replace(/>/g,'&gt;').replace(/</g,'&lt;').replace(/\"/g,'&quot;') + \"<pre>\");\n",
       "                        }\n",
       "\n",
       "                        if(curCell&&curCell.output_area&&curCell.output_area.outputs){\n",
       "                            setTimeout(function(){\n",
       "                                var data = JSON.parse(JSON.stringify(content.data));\n",
       "                                if(!!data[\"text/html\"])data[\"text/html\"]=html;\n",
       "                                function savedData(data){\n",
       "                                    \n",
       "                                    var markup='<style type=\"text/css\">.pd_warning{display:none;}</style>';\n",
       "                                    markup+='<div class=\"pd_warning\"><em>Hey, there\\'s something awesome here! To see it, open this notebook outside GitHub, in a viewer like Jupyter</em></div>';\n",
       "                                    nodes = $.parseHTML(data[\"text/html\"], null, true);\n",
       "                                    var s = $(nodes).wrap(\"<div>\").parent().find(\".pd_save\").not(\".pd_save .pd_save\")\n",
       "                                    s.each(function(){\n",
       "                                        var found = false;\n",
       "                                        if ( $(this).attr(\"id\") ){\n",
       "                                            var n = $(\"#\" + $(this).attr(\"id\"));\n",
       "                                            if (n.length>0){\n",
       "                                                found=true;\n",
       "                                                n.each(function(){\n",
       "                                                    $(this).addClass(\"is-viewer-good\");\n",
       "                                                });\n",
       "                                                markup+=n.wrap(\"<div>\").parent().html();\n",
       "                                            }\n",
       "                                        }else{\n",
       "                                            $(this).addClass(\"is-viewer-good\");\n",
       "                                        }\n",
       "                                        if (!found){\n",
       "                                            markup+=$(this).parent().html();\n",
       "                                        }\n",
       "                                    });\n",
       "                                    data[\"text/html\"] = markup;\n",
       "                                    return data;\n",
       "                                }\n",
       "                                curCell.output_area.outputs.push({\"data\": savedData(data),\"metadata\":content.metadata,\"output_type\":msg_type});\n",
       "                            },2000);\n",
       "                        }\n",
       "                    }\n",
       "                }else if (msg_type === \"error\") {\n",
       "                    require(['base/js/utils'], function(utils) {\n",
       "                        var tb = content.traceback;\n",
       "                        console.log(\"tb\",tb);\n",
       "                        if (tb && tb.length>0){\n",
       "                            var data = tb.reduce(function(res, frame){return res+frame+'\\\\n';},\"\");\n",
       "                            console.log(\"data\",data);\n",
       "                            data = utils.fixConsole(data);\n",
       "                            data = utils.fixCarriageReturn(data);\n",
       "                            data = utils.autoLinkUrls(data);\n",
       "                            getTargetNode().html(\"<pre>\" + data +\"</pre>\");\n",
       "                        }\n",
       "                    });\n",
       "                }\n",
       "\n",
       "                //Append profiling info\n",
       "                if (executionTime.length > 0 && $(\"#execution1e5812a5\").length == 0 ){\n",
       "                    getTargetNode().append(executionTime);\n",
       "                }else if (startWallToWall && $(\"#execution1e5812a5\").length > 0 ){\n",
       "                    $(\"#execution1e5812a5\").append($(\"<div/>\").text(\"Wall to Wall time: \" + ( (new Date().getTime() - startWallToWall)/1000 ) + \"s\"));\n",
       "                }\n",
       "\n",
       "                if (typeof onDisplayDone1e5812a5 != \"undefined\"){\n",
       "                    onDisplayDone1e5812a5();\n",
       "                }\n",
       "                $(document).trigger('pd_event', {type:\"pd_load\", targetNode: getTargetNode()});\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "    \n",
       "    if (IPython && IPython.notebook && IPython.notebook.session && IPython.notebook.session.kernel){\n",
       "        var command = \"display(signal,cell_id='6B2C1D7163E740B88F0D99D600F783E6',nostore_pixiedust='true',rowCount='500',handlerId='pieChart',valueFields='cosine,sine,tangens',rendererId='matplotlib',lineChartType='subplots',keyFields='ts',aggregation='SUM',nostore_cw='1368',org_params='nostore_pixiedust',nostore_bokeh='false',prefix='1e5812a5')\".replace(\"cellId\",cellId);\n",
       "        function addOptions(options, override=true){\n",
       "            function getStringRep(v) {\n",
       "                return \"'\" + v + \"'\";\n",
       "            }\n",
       "            for (var key in (options||{})){\n",
       "                var value = options[key];\n",
       "                var hasValue = value != null && typeof value !== 'undefined' && value !== '';\n",
       "                var replaceValue = hasValue ? (key+\"=\" + getStringRep(value) ) : \"\";\n",
       "                var pattern = (hasValue?\"\":\",\")+\"\\\\s*\" + key + \"\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "                var rpattern=new RegExp(pattern);\n",
       "                var n = command.search(rpattern);\n",
       "                if ( n >= 0 ){\n",
       "                    if (override){\n",
       "                        command = command.replace(rpattern, replaceValue);\n",
       "                    }\n",
       "                }else if (hasValue){\n",
       "                    var n = command.lastIndexOf(\")\");\n",
       "                    command = [command.slice(0, n), (command[n-1]==\"(\"? \"\":\",\") + replaceValue, command.slice(n)].join('')\n",
       "                }        \n",
       "            }\n",
       "        }\n",
       "        if(typeof cellMetadata != \"undefined\" && cellMetadata.displayParams){\n",
       "            addOptions(cellMetadata.displayParams);\n",
       "        }else if (curCell && curCell._metadata.pixiedust ){\n",
       "            addOptions(curCell._metadata.pixiedust.displayParams || {}, ('False'=='True') );\n",
       "        }\n",
       "        addOptions({});\n",
       "        \n",
       "        \n",
       "    \n",
       "\n",
       "        \n",
       "        var pattern = \"\\\\w*\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "        var rpattern=new RegExp(pattern,\"g\");\n",
       "        var n = command.match(rpattern);\n",
       "        \n",
       "        var org_params = {}\n",
       "        for (var i=0; i<n.length;i++){\n",
       "            var parts = n[i].split(\"=\")\n",
       "            if (parts[0].trim() == \"org_params\"){\n",
       "                var value = parts[1].trim()\n",
       "                var values = value.substring(1,value.length-1).split(\",\");\n",
       "                for (var p in values){\n",
       "                    org_params[values[p].trim()] = true;\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        var displayParams={}\n",
       "        for (var i = 0; i < n.length; i++){\n",
       "            var parts=n[i].split(\"=\");\n",
       "            var key = parts[0].trim();\n",
       "            var value = parts[1].trim()\n",
       "            if (!key.startsWith(\"nostore_\") && key != \"showchrome\" && key != \"prefix\" && key != \"cell_id\" && key != \"org_params\" && !!!org_params[key]){\n",
       "                displayParams[key] = value.substring(1,value.length-1);\n",
       "            }\n",
       "        }\n",
       "        if(curCell&&curCell.output_area){\n",
       "            curCell._metadata.pixiedust = curCell._metadata.pixiedust || {}\n",
       "            curCell._metadata.pixiedust.displayParams=displayParams\n",
       "            curCell.output_area.outputs=[];\n",
       "            var old_msg_id = curCell.last_msg_id;\n",
       "            if (old_msg_id) {\n",
       "                curCell.kernel.clear_callbacks_for_msg(old_msg_id);\n",
       "            }\n",
       "        }else{\n",
       "            console.log(\"couldn't find the cell\");\n",
       "        }\n",
       "        \n",
       "        $('#wrapperJS1e5812a5').html(\"\")\n",
       "        getTargetNode().html('<div style=\"width:100px;height:60px;left:47%;position:relative\"><i class=\"fa fa-circle-o-notch fa-spin\" style=\"font-size:48px\"></i></div>'+\n",
       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
       "        startWallToWall = new Date().getTime();\n",
       "        \n",
       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
       "    }\n",
       "}\n",
       ")\n",
       "            </script>\n",
       "        \n",
       "                </li>\n",
       "              \n",
       "                <li id=\"menu1e5812a5-mapView\">\n",
       "                  \n",
       "                  <i class=\"fa fa-globe\"></i>\n",
       "                  \n",
       "                  <span>Map</span>\n",
       "                  \n",
       "            <script>\n",
       "                $('#menu1e5812a5-mapView').on('click', \n",
       "\n",
       "\n",
       "function() {\n",
       "    function getTargetNode(){\n",
       "        var n = $('#' + 'wrapperHTML1e5812a5');\n",
       "        if (n.length == 0 ){\n",
       "            n = $('#wrapperHTML1e5812a5');\n",
       "        }\n",
       "        return n;\n",
       "    }\n",
       "    cellId = typeof cellId === \"undefined\" ? \"\" : cellId;\n",
       "    var curCell=IPython.notebook.get_cells().filter(function(cell){\n",
       "        return cell.cell_id==\"6B2C1D7163E740B88F0D99D600F783E6\".replace(\"cellId\",cellId);\n",
       "    });\n",
       "    curCell=curCell.length>0?curCell[0]:null;\n",
       "    console.log(\"curCell\",curCell);\n",
       "    var startWallToWall;\n",
       "    //Resend the display command\n",
       "    var callbacks = {\n",
       "        shell : {\n",
       "            payload : {\n",
       "                set_next_input : function(payload){\n",
       "                    if (curCell){\n",
       "                        curCell._handle_set_next_input(payload);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "        },\n",
       "        iopub:{\n",
       "            output:function(msg){\n",
       "                console.log(\"msg\", msg);\n",
       "                if (false){\n",
       "                    curCell.output_area.clear_output(false, true);\n",
       "                    curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                    return;\n",
       "                }\n",
       "                var msg_type=msg.header.msg_type;\n",
       "                var content = msg.content;\n",
       "                var executionTime = $(\"#execution1e5812a5\");\n",
       "                if(msg_type===\"stream\"){\n",
       "                    getTargetNode().html(content.text);\n",
       "                }else if (msg_type===\"display_data\" || msg_type===\"execute_result\"){\n",
       "                    var html=null;\n",
       "                    if (!!content.data[\"text/html\"]){\n",
       "                        html=content.data[\"text/html\"];\n",
       "                    }else if (!!content.data[\"image/png\"]){\n",
       "                        html=html||\"\";\n",
       "                        html+=\"<img src='data:image/png;base64,\" +content.data[\"image/png\"]+\"'></img>\";\n",
       "                    }\n",
       "                                                    \n",
       "                    if (!!content.data[\"application/javascript\"]){\n",
       "                        try {\n",
       "                            eval(content.data[\"application/javascript\"]);\n",
       "                        } catch(err) {\n",
       "                            curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                        }                        \n",
       "                        return;\n",
       "                    }\n",
       "                    \n",
       "                    if (html){\n",
       "                        try{\n",
       "                            getTargetNode().html(html);\n",
       "                        }catch(e){\n",
       "                            console.log(\"Invalid html output\", e, html);\n",
       "                            getTargetNode().html( \"Invalid html output: \" + e.message + \"<pre>\" \n",
       "                                + html.replace(/>/g,'&gt;').replace(/</g,'&lt;').replace(/\"/g,'&quot;') + \"<pre>\");\n",
       "                        }\n",
       "\n",
       "                        if(curCell&&curCell.output_area&&curCell.output_area.outputs){\n",
       "                            setTimeout(function(){\n",
       "                                var data = JSON.parse(JSON.stringify(content.data));\n",
       "                                if(!!data[\"text/html\"])data[\"text/html\"]=html;\n",
       "                                function savedData(data){\n",
       "                                    \n",
       "                                    var markup='<style type=\"text/css\">.pd_warning{display:none;}</style>';\n",
       "                                    markup+='<div class=\"pd_warning\"><em>Hey, there\\'s something awesome here! To see it, open this notebook outside GitHub, in a viewer like Jupyter</em></div>';\n",
       "                                    nodes = $.parseHTML(data[\"text/html\"], null, true);\n",
       "                                    var s = $(nodes).wrap(\"<div>\").parent().find(\".pd_save\").not(\".pd_save .pd_save\")\n",
       "                                    s.each(function(){\n",
       "                                        var found = false;\n",
       "                                        if ( $(this).attr(\"id\") ){\n",
       "                                            var n = $(\"#\" + $(this).attr(\"id\"));\n",
       "                                            if (n.length>0){\n",
       "                                                found=true;\n",
       "                                                n.each(function(){\n",
       "                                                    $(this).addClass(\"is-viewer-good\");\n",
       "                                                });\n",
       "                                                markup+=n.wrap(\"<div>\").parent().html();\n",
       "                                            }\n",
       "                                        }else{\n",
       "                                            $(this).addClass(\"is-viewer-good\");\n",
       "                                        }\n",
       "                                        if (!found){\n",
       "                                            markup+=$(this).parent().html();\n",
       "                                        }\n",
       "                                    });\n",
       "                                    data[\"text/html\"] = markup;\n",
       "                                    return data;\n",
       "                                }\n",
       "                                curCell.output_area.outputs.push({\"data\": savedData(data),\"metadata\":content.metadata,\"output_type\":msg_type});\n",
       "                            },2000);\n",
       "                        }\n",
       "                    }\n",
       "                }else if (msg_type === \"error\") {\n",
       "                    require(['base/js/utils'], function(utils) {\n",
       "                        var tb = content.traceback;\n",
       "                        console.log(\"tb\",tb);\n",
       "                        if (tb && tb.length>0){\n",
       "                            var data = tb.reduce(function(res, frame){return res+frame+'\\\\n';},\"\");\n",
       "                            console.log(\"data\",data);\n",
       "                            data = utils.fixConsole(data);\n",
       "                            data = utils.fixCarriageReturn(data);\n",
       "                            data = utils.autoLinkUrls(data);\n",
       "                            getTargetNode().html(\"<pre>\" + data +\"</pre>\");\n",
       "                        }\n",
       "                    });\n",
       "                }\n",
       "\n",
       "                //Append profiling info\n",
       "                if (executionTime.length > 0 && $(\"#execution1e5812a5\").length == 0 ){\n",
       "                    getTargetNode().append(executionTime);\n",
       "                }else if (startWallToWall && $(\"#execution1e5812a5\").length > 0 ){\n",
       "                    $(\"#execution1e5812a5\").append($(\"<div/>\").text(\"Wall to Wall time: \" + ( (new Date().getTime() - startWallToWall)/1000 ) + \"s\"));\n",
       "                }\n",
       "\n",
       "                if (typeof onDisplayDone1e5812a5 != \"undefined\"){\n",
       "                    onDisplayDone1e5812a5();\n",
       "                }\n",
       "                $(document).trigger('pd_event', {type:\"pd_load\", targetNode: getTargetNode()});\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "    \n",
       "    if (IPython && IPython.notebook && IPython.notebook.session && IPython.notebook.session.kernel){\n",
       "        var command = \"display(signal,cell_id='6B2C1D7163E740B88F0D99D600F783E6',nostore_pixiedust='true',rowCount='500',handlerId='mapView',valueFields='cosine,sine,tangens',rendererId='matplotlib',lineChartType='subplots',keyFields='ts',aggregation='SUM',nostore_cw='1368',org_params='nostore_pixiedust',nostore_bokeh='false',prefix='1e5812a5')\".replace(\"cellId\",cellId);\n",
       "        function addOptions(options, override=true){\n",
       "            function getStringRep(v) {\n",
       "                return \"'\" + v + \"'\";\n",
       "            }\n",
       "            for (var key in (options||{})){\n",
       "                var value = options[key];\n",
       "                var hasValue = value != null && typeof value !== 'undefined' && value !== '';\n",
       "                var replaceValue = hasValue ? (key+\"=\" + getStringRep(value) ) : \"\";\n",
       "                var pattern = (hasValue?\"\":\",\")+\"\\\\s*\" + key + \"\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "                var rpattern=new RegExp(pattern);\n",
       "                var n = command.search(rpattern);\n",
       "                if ( n >= 0 ){\n",
       "                    if (override){\n",
       "                        command = command.replace(rpattern, replaceValue);\n",
       "                    }\n",
       "                }else if (hasValue){\n",
       "                    var n = command.lastIndexOf(\")\");\n",
       "                    command = [command.slice(0, n), (command[n-1]==\"(\"? \"\":\",\") + replaceValue, command.slice(n)].join('')\n",
       "                }        \n",
       "            }\n",
       "        }\n",
       "        if(typeof cellMetadata != \"undefined\" && cellMetadata.displayParams){\n",
       "            addOptions(cellMetadata.displayParams);\n",
       "        }else if (curCell && curCell._metadata.pixiedust ){\n",
       "            addOptions(curCell._metadata.pixiedust.displayParams || {}, ('False'=='True') );\n",
       "        }\n",
       "        addOptions({});\n",
       "        \n",
       "        \n",
       "    \n",
       "\n",
       "        \n",
       "        var pattern = \"\\\\w*\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "        var rpattern=new RegExp(pattern,\"g\");\n",
       "        var n = command.match(rpattern);\n",
       "        \n",
       "        var org_params = {}\n",
       "        for (var i=0; i<n.length;i++){\n",
       "            var parts = n[i].split(\"=\")\n",
       "            if (parts[0].trim() == \"org_params\"){\n",
       "                var value = parts[1].trim()\n",
       "                var values = value.substring(1,value.length-1).split(\",\");\n",
       "                for (var p in values){\n",
       "                    org_params[values[p].trim()] = true;\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        var displayParams={}\n",
       "        for (var i = 0; i < n.length; i++){\n",
       "            var parts=n[i].split(\"=\");\n",
       "            var key = parts[0].trim();\n",
       "            var value = parts[1].trim()\n",
       "            if (!key.startsWith(\"nostore_\") && key != \"showchrome\" && key != \"prefix\" && key != \"cell_id\" && key != \"org_params\" && !!!org_params[key]){\n",
       "                displayParams[key] = value.substring(1,value.length-1);\n",
       "            }\n",
       "        }\n",
       "        if(curCell&&curCell.output_area){\n",
       "            curCell._metadata.pixiedust = curCell._metadata.pixiedust || {}\n",
       "            curCell._metadata.pixiedust.displayParams=displayParams\n",
       "            curCell.output_area.outputs=[];\n",
       "            var old_msg_id = curCell.last_msg_id;\n",
       "            if (old_msg_id) {\n",
       "                curCell.kernel.clear_callbacks_for_msg(old_msg_id);\n",
       "            }\n",
       "        }else{\n",
       "            console.log(\"couldn't find the cell\");\n",
       "        }\n",
       "        \n",
       "        $('#wrapperJS1e5812a5').html(\"\")\n",
       "        getTargetNode().html('<div style=\"width:100px;height:60px;left:47%;position:relative\"><i class=\"fa fa-circle-o-notch fa-spin\" style=\"font-size:48px\"></i></div>'+\n",
       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
       "        startWallToWall = new Date().getTime();\n",
       "        \n",
       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
       "    }\n",
       "}\n",
       ")\n",
       "            </script>\n",
       "        \n",
       "                </li>\n",
       "              \n",
       "                <li id=\"menu1e5812a5-histogram\">\n",
       "                  \n",
       "                  <i class=\"fa fa-table\"></i>\n",
       "                  \n",
       "                  <span>Histogram</span>\n",
       "                  \n",
       "            <script>\n",
       "                $('#menu1e5812a5-histogram').on('click', \n",
       "\n",
       "\n",
       "function() {\n",
       "    function getTargetNode(){\n",
       "        var n = $('#' + 'wrapperHTML1e5812a5');\n",
       "        if (n.length == 0 ){\n",
       "            n = $('#wrapperHTML1e5812a5');\n",
       "        }\n",
       "        return n;\n",
       "    }\n",
       "    cellId = typeof cellId === \"undefined\" ? \"\" : cellId;\n",
       "    var curCell=IPython.notebook.get_cells().filter(function(cell){\n",
       "        return cell.cell_id==\"6B2C1D7163E740B88F0D99D600F783E6\".replace(\"cellId\",cellId);\n",
       "    });\n",
       "    curCell=curCell.length>0?curCell[0]:null;\n",
       "    console.log(\"curCell\",curCell);\n",
       "    var startWallToWall;\n",
       "    //Resend the display command\n",
       "    var callbacks = {\n",
       "        shell : {\n",
       "            payload : {\n",
       "                set_next_input : function(payload){\n",
       "                    if (curCell){\n",
       "                        curCell._handle_set_next_input(payload);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "        },\n",
       "        iopub:{\n",
       "            output:function(msg){\n",
       "                console.log(\"msg\", msg);\n",
       "                if (false){\n",
       "                    curCell.output_area.clear_output(false, true);\n",
       "                    curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                    return;\n",
       "                }\n",
       "                var msg_type=msg.header.msg_type;\n",
       "                var content = msg.content;\n",
       "                var executionTime = $(\"#execution1e5812a5\");\n",
       "                if(msg_type===\"stream\"){\n",
       "                    getTargetNode().html(content.text);\n",
       "                }else if (msg_type===\"display_data\" || msg_type===\"execute_result\"){\n",
       "                    var html=null;\n",
       "                    if (!!content.data[\"text/html\"]){\n",
       "                        html=content.data[\"text/html\"];\n",
       "                    }else if (!!content.data[\"image/png\"]){\n",
       "                        html=html||\"\";\n",
       "                        html+=\"<img src='data:image/png;base64,\" +content.data[\"image/png\"]+\"'></img>\";\n",
       "                    }\n",
       "                                                    \n",
       "                    if (!!content.data[\"application/javascript\"]){\n",
       "                        try {\n",
       "                            eval(content.data[\"application/javascript\"]);\n",
       "                        } catch(err) {\n",
       "                            curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                        }                        \n",
       "                        return;\n",
       "                    }\n",
       "                    \n",
       "                    if (html){\n",
       "                        try{\n",
       "                            getTargetNode().html(html);\n",
       "                        }catch(e){\n",
       "                            console.log(\"Invalid html output\", e, html);\n",
       "                            getTargetNode().html( \"Invalid html output: \" + e.message + \"<pre>\" \n",
       "                                + html.replace(/>/g,'&gt;').replace(/</g,'&lt;').replace(/\"/g,'&quot;') + \"<pre>\");\n",
       "                        }\n",
       "\n",
       "                        if(curCell&&curCell.output_area&&curCell.output_area.outputs){\n",
       "                            setTimeout(function(){\n",
       "                                var data = JSON.parse(JSON.stringify(content.data));\n",
       "                                if(!!data[\"text/html\"])data[\"text/html\"]=html;\n",
       "                                function savedData(data){\n",
       "                                    \n",
       "                                    var markup='<style type=\"text/css\">.pd_warning{display:none;}</style>';\n",
       "                                    markup+='<div class=\"pd_warning\"><em>Hey, there\\'s something awesome here! To see it, open this notebook outside GitHub, in a viewer like Jupyter</em></div>';\n",
       "                                    nodes = $.parseHTML(data[\"text/html\"], null, true);\n",
       "                                    var s = $(nodes).wrap(\"<div>\").parent().find(\".pd_save\").not(\".pd_save .pd_save\")\n",
       "                                    s.each(function(){\n",
       "                                        var found = false;\n",
       "                                        if ( $(this).attr(\"id\") ){\n",
       "                                            var n = $(\"#\" + $(this).attr(\"id\"));\n",
       "                                            if (n.length>0){\n",
       "                                                found=true;\n",
       "                                                n.each(function(){\n",
       "                                                    $(this).addClass(\"is-viewer-good\");\n",
       "                                                });\n",
       "                                                markup+=n.wrap(\"<div>\").parent().html();\n",
       "                                            }\n",
       "                                        }else{\n",
       "                                            $(this).addClass(\"is-viewer-good\");\n",
       "                                        }\n",
       "                                        if (!found){\n",
       "                                            markup+=$(this).parent().html();\n",
       "                                        }\n",
       "                                    });\n",
       "                                    data[\"text/html\"] = markup;\n",
       "                                    return data;\n",
       "                                }\n",
       "                                curCell.output_area.outputs.push({\"data\": savedData(data),\"metadata\":content.metadata,\"output_type\":msg_type});\n",
       "                            },2000);\n",
       "                        }\n",
       "                    }\n",
       "                }else if (msg_type === \"error\") {\n",
       "                    require(['base/js/utils'], function(utils) {\n",
       "                        var tb = content.traceback;\n",
       "                        console.log(\"tb\",tb);\n",
       "                        if (tb && tb.length>0){\n",
       "                            var data = tb.reduce(function(res, frame){return res+frame+'\\\\n';},\"\");\n",
       "                            console.log(\"data\",data);\n",
       "                            data = utils.fixConsole(data);\n",
       "                            data = utils.fixCarriageReturn(data);\n",
       "                            data = utils.autoLinkUrls(data);\n",
       "                            getTargetNode().html(\"<pre>\" + data +\"</pre>\");\n",
       "                        }\n",
       "                    });\n",
       "                }\n",
       "\n",
       "                //Append profiling info\n",
       "                if (executionTime.length > 0 && $(\"#execution1e5812a5\").length == 0 ){\n",
       "                    getTargetNode().append(executionTime);\n",
       "                }else if (startWallToWall && $(\"#execution1e5812a5\").length > 0 ){\n",
       "                    $(\"#execution1e5812a5\").append($(\"<div/>\").text(\"Wall to Wall time: \" + ( (new Date().getTime() - startWallToWall)/1000 ) + \"s\"));\n",
       "                }\n",
       "\n",
       "                if (typeof onDisplayDone1e5812a5 != \"undefined\"){\n",
       "                    onDisplayDone1e5812a5();\n",
       "                }\n",
       "                $(document).trigger('pd_event', {type:\"pd_load\", targetNode: getTargetNode()});\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "    \n",
       "    if (IPython && IPython.notebook && IPython.notebook.session && IPython.notebook.session.kernel){\n",
       "        var command = \"display(signal,cell_id='6B2C1D7163E740B88F0D99D600F783E6',nostore_pixiedust='true',rowCount='500',handlerId='histogram',valueFields='cosine,sine,tangens',rendererId='matplotlib',lineChartType='subplots',keyFields='ts',aggregation='SUM',nostore_cw='1368',org_params='nostore_pixiedust',nostore_bokeh='false',prefix='1e5812a5')\".replace(\"cellId\",cellId);\n",
       "        function addOptions(options, override=true){\n",
       "            function getStringRep(v) {\n",
       "                return \"'\" + v + \"'\";\n",
       "            }\n",
       "            for (var key in (options||{})){\n",
       "                var value = options[key];\n",
       "                var hasValue = value != null && typeof value !== 'undefined' && value !== '';\n",
       "                var replaceValue = hasValue ? (key+\"=\" + getStringRep(value) ) : \"\";\n",
       "                var pattern = (hasValue?\"\":\",\")+\"\\\\s*\" + key + \"\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "                var rpattern=new RegExp(pattern);\n",
       "                var n = command.search(rpattern);\n",
       "                if ( n >= 0 ){\n",
       "                    if (override){\n",
       "                        command = command.replace(rpattern, replaceValue);\n",
       "                    }\n",
       "                }else if (hasValue){\n",
       "                    var n = command.lastIndexOf(\")\");\n",
       "                    command = [command.slice(0, n), (command[n-1]==\"(\"? \"\":\",\") + replaceValue, command.slice(n)].join('')\n",
       "                }        \n",
       "            }\n",
       "        }\n",
       "        if(typeof cellMetadata != \"undefined\" && cellMetadata.displayParams){\n",
       "            addOptions(cellMetadata.displayParams);\n",
       "        }else if (curCell && curCell._metadata.pixiedust ){\n",
       "            addOptions(curCell._metadata.pixiedust.displayParams || {}, ('False'=='True') );\n",
       "        }\n",
       "        addOptions({});\n",
       "        \n",
       "        \n",
       "    \n",
       "\n",
       "        \n",
       "        var pattern = \"\\\\w*\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "        var rpattern=new RegExp(pattern,\"g\");\n",
       "        var n = command.match(rpattern);\n",
       "        \n",
       "        var org_params = {}\n",
       "        for (var i=0; i<n.length;i++){\n",
       "            var parts = n[i].split(\"=\")\n",
       "            if (parts[0].trim() == \"org_params\"){\n",
       "                var value = parts[1].trim()\n",
       "                var values = value.substring(1,value.length-1).split(\",\");\n",
       "                for (var p in values){\n",
       "                    org_params[values[p].trim()] = true;\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        var displayParams={}\n",
       "        for (var i = 0; i < n.length; i++){\n",
       "            var parts=n[i].split(\"=\");\n",
       "            var key = parts[0].trim();\n",
       "            var value = parts[1].trim()\n",
       "            if (!key.startsWith(\"nostore_\") && key != \"showchrome\" && key != \"prefix\" && key != \"cell_id\" && key != \"org_params\" && !!!org_params[key]){\n",
       "                displayParams[key] = value.substring(1,value.length-1);\n",
       "            }\n",
       "        }\n",
       "        if(curCell&&curCell.output_area){\n",
       "            curCell._metadata.pixiedust = curCell._metadata.pixiedust || {}\n",
       "            curCell._metadata.pixiedust.displayParams=displayParams\n",
       "            curCell.output_area.outputs=[];\n",
       "            var old_msg_id = curCell.last_msg_id;\n",
       "            if (old_msg_id) {\n",
       "                curCell.kernel.clear_callbacks_for_msg(old_msg_id);\n",
       "            }\n",
       "        }else{\n",
       "            console.log(\"couldn't find the cell\");\n",
       "        }\n",
       "        \n",
       "        $('#wrapperJS1e5812a5').html(\"\")\n",
       "        getTargetNode().html('<div style=\"width:100px;height:60px;left:47%;position:relative\"><i class=\"fa fa-circle-o-notch fa-spin\" style=\"font-size:48px\"></i></div>'+\n",
       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
       "        startWallToWall = new Date().getTime();\n",
       "        \n",
       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
       "    }\n",
       "}\n",
       ")\n",
       "            </script>\n",
       "        \n",
       "                </li>\n",
       "              \n",
       "              </ul>\n",
       "            </div>\n",
       "          </div>\n",
       "        \n",
       "      \n",
       "        \n",
       "      \n",
       "        \n",
       "      \n",
       "        \n",
       "          <div class=\"btn-group btn-small display-type-button\">\n",
       "            \n",
       "            <a class=\"btn btn-small dropdown-toggle btn-default\" data-toggle=\"dropdown\" title=\"Stash dataset\">\n",
       "              \n",
       "              <i class=\"fa fa-cloud-download\"></i>\n",
       "              \n",
       "              <i class=\"fa fa-chevron-down\"></i>\n",
       "            </a>\n",
       "            <div class=\"dropdown-menu\" role=\"menu\" style=\"white-space:nowrap\">\n",
       "              <ul>\n",
       "              \n",
       "                <li id=\"menu1e5812a5-downloadFile\">\n",
       "                  \n",
       "                  <i class=\"fa fa-download\"></i>\n",
       "                  \n",
       "                  <span>Download as File</span>\n",
       "                  \n",
       "            <script>\n",
       "                $('#menu1e5812a5-downloadFile').on('click', \n",
       "\n",
       "\n",
       "function() {\n",
       "    function getTargetNode(){\n",
       "        var n = $('#' + 'wrapperHTML1e5812a5');\n",
       "        if (n.length == 0 ){\n",
       "            n = $('#wrapperHTML1e5812a5');\n",
       "        }\n",
       "        return n;\n",
       "    }\n",
       "    cellId = typeof cellId === \"undefined\" ? \"\" : cellId;\n",
       "    var curCell=IPython.notebook.get_cells().filter(function(cell){\n",
       "        return cell.cell_id==\"6B2C1D7163E740B88F0D99D600F783E6\".replace(\"cellId\",cellId);\n",
       "    });\n",
       "    curCell=curCell.length>0?curCell[0]:null;\n",
       "    console.log(\"curCell\",curCell);\n",
       "    var startWallToWall;\n",
       "    //Resend the display command\n",
       "    var callbacks = {\n",
       "        shell : {\n",
       "            payload : {\n",
       "                set_next_input : function(payload){\n",
       "                    if (curCell){\n",
       "                        curCell._handle_set_next_input(payload);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "        },\n",
       "        iopub:{\n",
       "            output:function(msg){\n",
       "                console.log(\"msg\", msg);\n",
       "                if (false){\n",
       "                    curCell.output_area.clear_output(false, true);\n",
       "                    curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                    return;\n",
       "                }\n",
       "                var msg_type=msg.header.msg_type;\n",
       "                var content = msg.content;\n",
       "                var executionTime = $(\"#execution1e5812a5\");\n",
       "                if(msg_type===\"stream\"){\n",
       "                    getTargetNode().html(content.text);\n",
       "                }else if (msg_type===\"display_data\" || msg_type===\"execute_result\"){\n",
       "                    var html=null;\n",
       "                    if (!!content.data[\"text/html\"]){\n",
       "                        html=content.data[\"text/html\"];\n",
       "                    }else if (!!content.data[\"image/png\"]){\n",
       "                        html=html||\"\";\n",
       "                        html+=\"<img src='data:image/png;base64,\" +content.data[\"image/png\"]+\"'></img>\";\n",
       "                    }\n",
       "                                                    \n",
       "                    if (!!content.data[\"application/javascript\"]){\n",
       "                        try {\n",
       "                            eval(content.data[\"application/javascript\"]);\n",
       "                        } catch(err) {\n",
       "                            curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                        }                        \n",
       "                        return;\n",
       "                    }\n",
       "                    \n",
       "                    if (html){\n",
       "                        try{\n",
       "                            getTargetNode().html(html);\n",
       "                        }catch(e){\n",
       "                            console.log(\"Invalid html output\", e, html);\n",
       "                            getTargetNode().html( \"Invalid html output: \" + e.message + \"<pre>\" \n",
       "                                + html.replace(/>/g,'&gt;').replace(/</g,'&lt;').replace(/\"/g,'&quot;') + \"<pre>\");\n",
       "                        }\n",
       "\n",
       "                        if(curCell&&curCell.output_area&&curCell.output_area.outputs){\n",
       "                            setTimeout(function(){\n",
       "                                var data = JSON.parse(JSON.stringify(content.data));\n",
       "                                if(!!data[\"text/html\"])data[\"text/html\"]=html;\n",
       "                                function savedData(data){\n",
       "                                    \n",
       "                                    var markup='<style type=\"text/css\">.pd_warning{display:none;}</style>';\n",
       "                                    markup+='<div class=\"pd_warning\"><em>Hey, there\\'s something awesome here! To see it, open this notebook outside GitHub, in a viewer like Jupyter</em></div>';\n",
       "                                    nodes = $.parseHTML(data[\"text/html\"], null, true);\n",
       "                                    var s = $(nodes).wrap(\"<div>\").parent().find(\".pd_save\").not(\".pd_save .pd_save\")\n",
       "                                    s.each(function(){\n",
       "                                        var found = false;\n",
       "                                        if ( $(this).attr(\"id\") ){\n",
       "                                            var n = $(\"#\" + $(this).attr(\"id\"));\n",
       "                                            if (n.length>0){\n",
       "                                                found=true;\n",
       "                                                n.each(function(){\n",
       "                                                    $(this).addClass(\"is-viewer-good\");\n",
       "                                                });\n",
       "                                                markup+=n.wrap(\"<div>\").parent().html();\n",
       "                                            }\n",
       "                                        }else{\n",
       "                                            $(this).addClass(\"is-viewer-good\");\n",
       "                                        }\n",
       "                                        if (!found){\n",
       "                                            markup+=$(this).parent().html();\n",
       "                                        }\n",
       "                                    });\n",
       "                                    data[\"text/html\"] = markup;\n",
       "                                    return data;\n",
       "                                }\n",
       "                                curCell.output_area.outputs.push({\"data\": savedData(data),\"metadata\":content.metadata,\"output_type\":msg_type});\n",
       "                            },2000);\n",
       "                        }\n",
       "                    }\n",
       "                }else if (msg_type === \"error\") {\n",
       "                    require(['base/js/utils'], function(utils) {\n",
       "                        var tb = content.traceback;\n",
       "                        console.log(\"tb\",tb);\n",
       "                        if (tb && tb.length>0){\n",
       "                            var data = tb.reduce(function(res, frame){return res+frame+'\\\\n';},\"\");\n",
       "                            console.log(\"data\",data);\n",
       "                            data = utils.fixConsole(data);\n",
       "                            data = utils.fixCarriageReturn(data);\n",
       "                            data = utils.autoLinkUrls(data);\n",
       "                            getTargetNode().html(\"<pre>\" + data +\"</pre>\");\n",
       "                        }\n",
       "                    });\n",
       "                }\n",
       "\n",
       "                //Append profiling info\n",
       "                if (executionTime.length > 0 && $(\"#execution1e5812a5\").length == 0 ){\n",
       "                    getTargetNode().append(executionTime);\n",
       "                }else if (startWallToWall && $(\"#execution1e5812a5\").length > 0 ){\n",
       "                    $(\"#execution1e5812a5\").append($(\"<div/>\").text(\"Wall to Wall time: \" + ( (new Date().getTime() - startWallToWall)/1000 ) + \"s\"));\n",
       "                }\n",
       "\n",
       "                if (typeof onDisplayDone1e5812a5 != \"undefined\"){\n",
       "                    onDisplayDone1e5812a5();\n",
       "                }\n",
       "                $(document).trigger('pd_event', {type:\"pd_load\", targetNode: getTargetNode()});\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "    \n",
       "    if (IPython && IPython.notebook && IPython.notebook.session && IPython.notebook.session.kernel){\n",
       "        var command = \"display(signal,cell_id='6B2C1D7163E740B88F0D99D600F783E6',nostore_pixiedust='true',rowCount='500',handlerId='downloadFile',valueFields='cosine,sine,tangens',rendererId='matplotlib',lineChartType='subplots',keyFields='ts',aggregation='SUM',nostore_cw='1368',org_params='nostore_pixiedust',nostore_bokeh='false',prefix='1e5812a5')\".replace(\"cellId\",cellId);\n",
       "        function addOptions(options, override=true){\n",
       "            function getStringRep(v) {\n",
       "                return \"'\" + v + \"'\";\n",
       "            }\n",
       "            for (var key in (options||{})){\n",
       "                var value = options[key];\n",
       "                var hasValue = value != null && typeof value !== 'undefined' && value !== '';\n",
       "                var replaceValue = hasValue ? (key+\"=\" + getStringRep(value) ) : \"\";\n",
       "                var pattern = (hasValue?\"\":\",\")+\"\\\\s*\" + key + \"\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "                var rpattern=new RegExp(pattern);\n",
       "                var n = command.search(rpattern);\n",
       "                if ( n >= 0 ){\n",
       "                    if (override){\n",
       "                        command = command.replace(rpattern, replaceValue);\n",
       "                    }\n",
       "                }else if (hasValue){\n",
       "                    var n = command.lastIndexOf(\")\");\n",
       "                    command = [command.slice(0, n), (command[n-1]==\"(\"? \"\":\",\") + replaceValue, command.slice(n)].join('')\n",
       "                }        \n",
       "            }\n",
       "        }\n",
       "        if(typeof cellMetadata != \"undefined\" && cellMetadata.displayParams){\n",
       "            addOptions(cellMetadata.displayParams);\n",
       "        }else if (curCell && curCell._metadata.pixiedust ){\n",
       "            addOptions(curCell._metadata.pixiedust.displayParams || {}, ('False'=='True') );\n",
       "        }\n",
       "        addOptions({});\n",
       "        \n",
       "        \n",
       "    \n",
       "\n",
       "        \n",
       "        var pattern = \"\\\\w*\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "        var rpattern=new RegExp(pattern,\"g\");\n",
       "        var n = command.match(rpattern);\n",
       "        \n",
       "        var org_params = {}\n",
       "        for (var i=0; i<n.length;i++){\n",
       "            var parts = n[i].split(\"=\")\n",
       "            if (parts[0].trim() == \"org_params\"){\n",
       "                var value = parts[1].trim()\n",
       "                var values = value.substring(1,value.length-1).split(\",\");\n",
       "                for (var p in values){\n",
       "                    org_params[values[p].trim()] = true;\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        var displayParams={}\n",
       "        for (var i = 0; i < n.length; i++){\n",
       "            var parts=n[i].split(\"=\");\n",
       "            var key = parts[0].trim();\n",
       "            var value = parts[1].trim()\n",
       "            if (!key.startsWith(\"nostore_\") && key != \"showchrome\" && key != \"prefix\" && key != \"cell_id\" && key != \"org_params\" && !!!org_params[key]){\n",
       "                displayParams[key] = value.substring(1,value.length-1);\n",
       "            }\n",
       "        }\n",
       "        if(curCell&&curCell.output_area){\n",
       "            curCell._metadata.pixiedust = curCell._metadata.pixiedust || {}\n",
       "            curCell._metadata.pixiedust.displayParams=displayParams\n",
       "            curCell.output_area.outputs=[];\n",
       "            var old_msg_id = curCell.last_msg_id;\n",
       "            if (old_msg_id) {\n",
       "                curCell.kernel.clear_callbacks_for_msg(old_msg_id);\n",
       "            }\n",
       "        }else{\n",
       "            console.log(\"couldn't find the cell\");\n",
       "        }\n",
       "        \n",
       "        $('#wrapperJS1e5812a5').html(\"\")\n",
       "        getTargetNode().html('<div style=\"width:100px;height:60px;left:47%;position:relative\"><i class=\"fa fa-circle-o-notch fa-spin\" style=\"font-size:48px\"></i></div>'+\n",
       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
       "        startWallToWall = new Date().getTime();\n",
       "        \n",
       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
       "    }\n",
       "}\n",
       ")\n",
       "            </script>\n",
       "        \n",
       "                </li>\n",
       "              \n",
       "                <li id=\"menu1e5812a5-stashCloudant\">\n",
       "                  \n",
       "                  <i class=\"fa fa-cloud\"></i>\n",
       "                  \n",
       "                  <span>Stash to Cloudant</span>\n",
       "                  \n",
       "            <script>\n",
       "                $('#menu1e5812a5-stashCloudant').on('click', \n",
       "\n",
       "\n",
       "function() {\n",
       "    function getTargetNode(){\n",
       "        var n = $('#' + 'wrapperHTML1e5812a5');\n",
       "        if (n.length == 0 ){\n",
       "            n = $('#wrapperHTML1e5812a5');\n",
       "        }\n",
       "        return n;\n",
       "    }\n",
       "    cellId = typeof cellId === \"undefined\" ? \"\" : cellId;\n",
       "    var curCell=IPython.notebook.get_cells().filter(function(cell){\n",
       "        return cell.cell_id==\"6B2C1D7163E740B88F0D99D600F783E6\".replace(\"cellId\",cellId);\n",
       "    });\n",
       "    curCell=curCell.length>0?curCell[0]:null;\n",
       "    console.log(\"curCell\",curCell);\n",
       "    var startWallToWall;\n",
       "    //Resend the display command\n",
       "    var callbacks = {\n",
       "        shell : {\n",
       "            payload : {\n",
       "                set_next_input : function(payload){\n",
       "                    if (curCell){\n",
       "                        curCell._handle_set_next_input(payload);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "        },\n",
       "        iopub:{\n",
       "            output:function(msg){\n",
       "                console.log(\"msg\", msg);\n",
       "                if (false){\n",
       "                    curCell.output_area.clear_output(false, true);\n",
       "                    curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                    return;\n",
       "                }\n",
       "                var msg_type=msg.header.msg_type;\n",
       "                var content = msg.content;\n",
       "                var executionTime = $(\"#execution1e5812a5\");\n",
       "                if(msg_type===\"stream\"){\n",
       "                    getTargetNode().html(content.text);\n",
       "                }else if (msg_type===\"display_data\" || msg_type===\"execute_result\"){\n",
       "                    var html=null;\n",
       "                    if (!!content.data[\"text/html\"]){\n",
       "                        html=content.data[\"text/html\"];\n",
       "                    }else if (!!content.data[\"image/png\"]){\n",
       "                        html=html||\"\";\n",
       "                        html+=\"<img src='data:image/png;base64,\" +content.data[\"image/png\"]+\"'></img>\";\n",
       "                    }\n",
       "                                                    \n",
       "                    if (!!content.data[\"application/javascript\"]){\n",
       "                        try {\n",
       "                            eval(content.data[\"application/javascript\"]);\n",
       "                        } catch(err) {\n",
       "                            curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                        }                        \n",
       "                        return;\n",
       "                    }\n",
       "                    \n",
       "                    if (html){\n",
       "                        try{\n",
       "                            getTargetNode().html(html);\n",
       "                        }catch(e){\n",
       "                            console.log(\"Invalid html output\", e, html);\n",
       "                            getTargetNode().html( \"Invalid html output: \" + e.message + \"<pre>\" \n",
       "                                + html.replace(/>/g,'&gt;').replace(/</g,'&lt;').replace(/\"/g,'&quot;') + \"<pre>\");\n",
       "                        }\n",
       "\n",
       "                        if(curCell&&curCell.output_area&&curCell.output_area.outputs){\n",
       "                            setTimeout(function(){\n",
       "                                var data = JSON.parse(JSON.stringify(content.data));\n",
       "                                if(!!data[\"text/html\"])data[\"text/html\"]=html;\n",
       "                                function savedData(data){\n",
       "                                    \n",
       "                                    var markup='<style type=\"text/css\">.pd_warning{display:none;}</style>';\n",
       "                                    markup+='<div class=\"pd_warning\"><em>Hey, there\\'s something awesome here! To see it, open this notebook outside GitHub, in a viewer like Jupyter</em></div>';\n",
       "                                    nodes = $.parseHTML(data[\"text/html\"], null, true);\n",
       "                                    var s = $(nodes).wrap(\"<div>\").parent().find(\".pd_save\").not(\".pd_save .pd_save\")\n",
       "                                    s.each(function(){\n",
       "                                        var found = false;\n",
       "                                        if ( $(this).attr(\"id\") ){\n",
       "                                            var n = $(\"#\" + $(this).attr(\"id\"));\n",
       "                                            if (n.length>0){\n",
       "                                                found=true;\n",
       "                                                n.each(function(){\n",
       "                                                    $(this).addClass(\"is-viewer-good\");\n",
       "                                                });\n",
       "                                                markup+=n.wrap(\"<div>\").parent().html();\n",
       "                                            }\n",
       "                                        }else{\n",
       "                                            $(this).addClass(\"is-viewer-good\");\n",
       "                                        }\n",
       "                                        if (!found){\n",
       "                                            markup+=$(this).parent().html();\n",
       "                                        }\n",
       "                                    });\n",
       "                                    data[\"text/html\"] = markup;\n",
       "                                    return data;\n",
       "                                }\n",
       "                                curCell.output_area.outputs.push({\"data\": savedData(data),\"metadata\":content.metadata,\"output_type\":msg_type});\n",
       "                            },2000);\n",
       "                        }\n",
       "                    }\n",
       "                }else if (msg_type === \"error\") {\n",
       "                    require(['base/js/utils'], function(utils) {\n",
       "                        var tb = content.traceback;\n",
       "                        console.log(\"tb\",tb);\n",
       "                        if (tb && tb.length>0){\n",
       "                            var data = tb.reduce(function(res, frame){return res+frame+'\\\\n';},\"\");\n",
       "                            console.log(\"data\",data);\n",
       "                            data = utils.fixConsole(data);\n",
       "                            data = utils.fixCarriageReturn(data);\n",
       "                            data = utils.autoLinkUrls(data);\n",
       "                            getTargetNode().html(\"<pre>\" + data +\"</pre>\");\n",
       "                        }\n",
       "                    });\n",
       "                }\n",
       "\n",
       "                //Append profiling info\n",
       "                if (executionTime.length > 0 && $(\"#execution1e5812a5\").length == 0 ){\n",
       "                    getTargetNode().append(executionTime);\n",
       "                }else if (startWallToWall && $(\"#execution1e5812a5\").length > 0 ){\n",
       "                    $(\"#execution1e5812a5\").append($(\"<div/>\").text(\"Wall to Wall time: \" + ( (new Date().getTime() - startWallToWall)/1000 ) + \"s\"));\n",
       "                }\n",
       "\n",
       "                if (typeof onDisplayDone1e5812a5 != \"undefined\"){\n",
       "                    onDisplayDone1e5812a5();\n",
       "                }\n",
       "                $(document).trigger('pd_event', {type:\"pd_load\", targetNode: getTargetNode()});\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "    \n",
       "    if (IPython && IPython.notebook && IPython.notebook.session && IPython.notebook.session.kernel){\n",
       "        var command = \"display(signal,cell_id='6B2C1D7163E740B88F0D99D600F783E6',nostore_pixiedust='true',rowCount='500',handlerId='stashCloudant',valueFields='cosine,sine,tangens',rendererId='matplotlib',lineChartType='subplots',keyFields='ts',aggregation='SUM',nostore_cw='1368',org_params='nostore_pixiedust',nostore_bokeh='false',prefix='1e5812a5')\".replace(\"cellId\",cellId);\n",
       "        function addOptions(options, override=true){\n",
       "            function getStringRep(v) {\n",
       "                return \"'\" + v + \"'\";\n",
       "            }\n",
       "            for (var key in (options||{})){\n",
       "                var value = options[key];\n",
       "                var hasValue = value != null && typeof value !== 'undefined' && value !== '';\n",
       "                var replaceValue = hasValue ? (key+\"=\" + getStringRep(value) ) : \"\";\n",
       "                var pattern = (hasValue?\"\":\",\")+\"\\\\s*\" + key + \"\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "                var rpattern=new RegExp(pattern);\n",
       "                var n = command.search(rpattern);\n",
       "                if ( n >= 0 ){\n",
       "                    if (override){\n",
       "                        command = command.replace(rpattern, replaceValue);\n",
       "                    }\n",
       "                }else if (hasValue){\n",
       "                    var n = command.lastIndexOf(\")\");\n",
       "                    command = [command.slice(0, n), (command[n-1]==\"(\"? \"\":\",\") + replaceValue, command.slice(n)].join('')\n",
       "                }        \n",
       "            }\n",
       "        }\n",
       "        if(typeof cellMetadata != \"undefined\" && cellMetadata.displayParams){\n",
       "            addOptions(cellMetadata.displayParams);\n",
       "        }else if (curCell && curCell._metadata.pixiedust ){\n",
       "            addOptions(curCell._metadata.pixiedust.displayParams || {}, ('False'=='True') );\n",
       "        }\n",
       "        addOptions({});\n",
       "        \n",
       "        \n",
       "    \n",
       "\n",
       "        \n",
       "        var pattern = \"\\\\w*\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "        var rpattern=new RegExp(pattern,\"g\");\n",
       "        var n = command.match(rpattern);\n",
       "        \n",
       "        var org_params = {}\n",
       "        for (var i=0; i<n.length;i++){\n",
       "            var parts = n[i].split(\"=\")\n",
       "            if (parts[0].trim() == \"org_params\"){\n",
       "                var value = parts[1].trim()\n",
       "                var values = value.substring(1,value.length-1).split(\",\");\n",
       "                for (var p in values){\n",
       "                    org_params[values[p].trim()] = true;\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        var displayParams={}\n",
       "        for (var i = 0; i < n.length; i++){\n",
       "            var parts=n[i].split(\"=\");\n",
       "            var key = parts[0].trim();\n",
       "            var value = parts[1].trim()\n",
       "            if (!key.startsWith(\"nostore_\") && key != \"showchrome\" && key != \"prefix\" && key != \"cell_id\" && key != \"org_params\" && !!!org_params[key]){\n",
       "                displayParams[key] = value.substring(1,value.length-1);\n",
       "            }\n",
       "        }\n",
       "        if(curCell&&curCell.output_area){\n",
       "            curCell._metadata.pixiedust = curCell._metadata.pixiedust || {}\n",
       "            curCell._metadata.pixiedust.displayParams=displayParams\n",
       "            curCell.output_area.outputs=[];\n",
       "            var old_msg_id = curCell.last_msg_id;\n",
       "            if (old_msg_id) {\n",
       "                curCell.kernel.clear_callbacks_for_msg(old_msg_id);\n",
       "            }\n",
       "        }else{\n",
       "            console.log(\"couldn't find the cell\");\n",
       "        }\n",
       "        \n",
       "        $('#wrapperJS1e5812a5').html(\"\")\n",
       "        getTargetNode().html('<div style=\"width:100px;height:60px;left:47%;position:relative\"><i class=\"fa fa-circle-o-notch fa-spin\" style=\"font-size:48px\"></i></div>'+\n",
       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
       "        startWallToWall = new Date().getTime();\n",
       "        \n",
       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
       "    }\n",
       "}\n",
       ")\n",
       "            </script>\n",
       "        \n",
       "                </li>\n",
       "              \n",
       "              </ul>\n",
       "            </div>\n",
       "          </div>\n",
       "        \n",
       "      \n",
       "      </div>\n",
       "    \n",
       "    <div id=\"wrapperJS1e5812a5\"></div>\n",
       "    <div id=\"wrapperHTML1e5812a5\" class=\"pixiedustWrapperHTML\" style=\"min-height:100px\"></div>\n",
       "  </div>\n",
       "</div>\n",
       "                    <script>\n",
       "                    (\n",
       "\n",
       "\n",
       "function() {\n",
       "    function getTargetNode(){\n",
       "        var n = $('#' + 'wrapperHTML1e5812a5');\n",
       "        if (n.length == 0 ){\n",
       "            n = $('#wrapperHTML1e5812a5');\n",
       "        }\n",
       "        return n;\n",
       "    }\n",
       "    cellId = typeof cellId === \"undefined\" ? \"\" : cellId;\n",
       "    var curCell=IPython.notebook.get_cells().filter(function(cell){\n",
       "        return cell.cell_id==\"6B2C1D7163E740B88F0D99D600F783E6\".replace(\"cellId\",cellId);\n",
       "    });\n",
       "    curCell=curCell.length>0?curCell[0]:null;\n",
       "    console.log(\"curCell\",curCell);\n",
       "    var startWallToWall;\n",
       "    //Resend the display command\n",
       "    var callbacks = {\n",
       "        shell : {\n",
       "            payload : {\n",
       "                set_next_input : function(payload){\n",
       "                    if (curCell){\n",
       "                        curCell._handle_set_next_input(payload);\n",
       "                    }\n",
       "                }\n",
       "            }\n",
       "        },\n",
       "        iopub:{\n",
       "            output:function(msg){\n",
       "                console.log(\"msg\", msg);\n",
       "                if (false){\n",
       "                    curCell.output_area.clear_output(false, true);\n",
       "                    curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                    return;\n",
       "                }\n",
       "                var msg_type=msg.header.msg_type;\n",
       "                var content = msg.content;\n",
       "                var executionTime = $(\"#execution1e5812a5\");\n",
       "                if(msg_type===\"stream\"){\n",
       "                    getTargetNode().html(content.text);\n",
       "                }else if (msg_type===\"display_data\" || msg_type===\"execute_result\"){\n",
       "                    var html=null;\n",
       "                    if (!!content.data[\"text/html\"]){\n",
       "                        html=content.data[\"text/html\"];\n",
       "                    }else if (!!content.data[\"image/png\"]){\n",
       "                        html=html||\"\";\n",
       "                        html+=\"<img src='data:image/png;base64,\" +content.data[\"image/png\"]+\"'></img>\";\n",
       "                    }\n",
       "                                                    \n",
       "                    if (!!content.data[\"application/javascript\"]){\n",
       "                        try {\n",
       "                            eval(content.data[\"application/javascript\"]);\n",
       "                        } catch(err) {\n",
       "                            curCell.output_area.handle_output.apply(curCell.output_area, arguments);\n",
       "                        }                        \n",
       "                        return;\n",
       "                    }\n",
       "                    \n",
       "                    if (html){\n",
       "                        try{\n",
       "                            getTargetNode().html(html);\n",
       "                        }catch(e){\n",
       "                            console.log(\"Invalid html output\", e, html);\n",
       "                            getTargetNode().html( \"Invalid html output: \" + e.message + \"<pre>\" \n",
       "                                + html.replace(/>/g,'&gt;').replace(/</g,'&lt;').replace(/\"/g,'&quot;') + \"<pre>\");\n",
       "                        }\n",
       "\n",
       "                        if(curCell&&curCell.output_area&&curCell.output_area.outputs){\n",
       "                            setTimeout(function(){\n",
       "                                var data = JSON.parse(JSON.stringify(content.data));\n",
       "                                if(!!data[\"text/html\"])data[\"text/html\"]=html;\n",
       "                                function savedData(data){\n",
       "                                    \n",
       "                                    var markup='<style type=\"text/css\">.pd_warning{display:none;}</style>';\n",
       "                                    markup+='<div class=\"pd_warning\"><em>Hey, there\\'s something awesome here! To see it, open this notebook outside GitHub, in a viewer like Jupyter</em></div>';\n",
       "                                    nodes = $.parseHTML(data[\"text/html\"], null, true);\n",
       "                                    var s = $(nodes).wrap(\"<div>\").parent().find(\".pd_save\").not(\".pd_save .pd_save\")\n",
       "                                    s.each(function(){\n",
       "                                        var found = false;\n",
       "                                        if ( $(this).attr(\"id\") ){\n",
       "                                            var n = $(\"#\" + $(this).attr(\"id\"));\n",
       "                                            if (n.length>0){\n",
       "                                                found=true;\n",
       "                                                n.each(function(){\n",
       "                                                    $(this).addClass(\"is-viewer-good\");\n",
       "                                                });\n",
       "                                                markup+=n.wrap(\"<div>\").parent().html();\n",
       "                                            }\n",
       "                                        }else{\n",
       "                                            $(this).addClass(\"is-viewer-good\");\n",
       "                                        }\n",
       "                                        if (!found){\n",
       "                                            markup+=$(this).parent().html();\n",
       "                                        }\n",
       "                                    });\n",
       "                                    data[\"text/html\"] = markup;\n",
       "                                    return data;\n",
       "                                }\n",
       "                                curCell.output_area.outputs.push({\"data\": savedData(data),\"metadata\":content.metadata,\"output_type\":msg_type});\n",
       "                            },2000);\n",
       "                        }\n",
       "                    }\n",
       "                }else if (msg_type === \"error\") {\n",
       "                    require(['base/js/utils'], function(utils) {\n",
       "                        var tb = content.traceback;\n",
       "                        console.log(\"tb\",tb);\n",
       "                        if (tb && tb.length>0){\n",
       "                            var data = tb.reduce(function(res, frame){return res+frame+'\\\\n';},\"\");\n",
       "                            console.log(\"data\",data);\n",
       "                            data = utils.fixConsole(data);\n",
       "                            data = utils.fixCarriageReturn(data);\n",
       "                            data = utils.autoLinkUrls(data);\n",
       "                            getTargetNode().html(\"<pre>\" + data +\"</pre>\");\n",
       "                        }\n",
       "                    });\n",
       "                }\n",
       "\n",
       "                //Append profiling info\n",
       "                if (executionTime.length > 0 && $(\"#execution1e5812a5\").length == 0 ){\n",
       "                    getTargetNode().append(executionTime);\n",
       "                }else if (startWallToWall && $(\"#execution1e5812a5\").length > 0 ){\n",
       "                    $(\"#execution1e5812a5\").append($(\"<div/>\").text(\"Wall to Wall time: \" + ( (new Date().getTime() - startWallToWall)/1000 ) + \"s\"));\n",
       "                }\n",
       "\n",
       "                if (typeof onDisplayDone1e5812a5 != \"undefined\"){\n",
       "                    onDisplayDone1e5812a5();\n",
       "                }\n",
       "                $(document).trigger('pd_event', {type:\"pd_load\", targetNode: getTargetNode()});\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "    \n",
       "    if (IPython && IPython.notebook && IPython.notebook.session && IPython.notebook.session.kernel){\n",
       "        var command = \"display(signal,cell_id='6B2C1D7163E740B88F0D99D600F783E6',nostore_pixiedust='true',rowCount='500',handlerId='lineChart',valueFields='cosine,sine,tangens',rendererId='matplotlib',lineChartType='subplots',keyFields='ts',aggregation='SUM',nostore_cw='1368',org_params='nostore_pixiedust',nostore_bokeh='false',prefix='1e5812a5')\".replace(\"cellId\",cellId);\n",
       "        function addOptions(options, override=true){\n",
       "            function getStringRep(v) {\n",
       "                return \"'\" + v + \"'\";\n",
       "            }\n",
       "            for (var key in (options||{})){\n",
       "                var value = options[key];\n",
       "                var hasValue = value != null && typeof value !== 'undefined' && value !== '';\n",
       "                var replaceValue = hasValue ? (key+\"=\" + getStringRep(value) ) : \"\";\n",
       "                var pattern = (hasValue?\"\":\",\")+\"\\\\s*\" + key + \"\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "                var rpattern=new RegExp(pattern);\n",
       "                var n = command.search(rpattern);\n",
       "                if ( n >= 0 ){\n",
       "                    if (override){\n",
       "                        command = command.replace(rpattern, replaceValue);\n",
       "                    }\n",
       "                }else if (hasValue){\n",
       "                    var n = command.lastIndexOf(\")\");\n",
       "                    command = [command.slice(0, n), (command[n-1]==\"(\"? \"\":\",\") + replaceValue, command.slice(n)].join('')\n",
       "                }        \n",
       "            }\n",
       "        }\n",
       "        if(typeof cellMetadata != \"undefined\" && cellMetadata.displayParams){\n",
       "            addOptions(cellMetadata.displayParams);\n",
       "        }else if (curCell && curCell._metadata.pixiedust ){\n",
       "            addOptions(curCell._metadata.pixiedust.displayParams || {}, ('False'=='True') );\n",
       "        }\n",
       "        addOptions({});\n",
       "        \n",
       "        \n",
       "    \n",
       "\n",
       "        \n",
       "        var pattern = \"\\\\w*\\\\s*=\\\\s*'(\\\\\\\\'|[^'])*'\";\n",
       "        var rpattern=new RegExp(pattern,\"g\");\n",
       "        var n = command.match(rpattern);\n",
       "        \n",
       "        var org_params = {}\n",
       "        for (var i=0; i<n.length;i++){\n",
       "            var parts = n[i].split(\"=\")\n",
       "            if (parts[0].trim() == \"org_params\"){\n",
       "                var value = parts[1].trim()\n",
       "                var values = value.substring(1,value.length-1).split(\",\");\n",
       "                for (var p in values){\n",
       "                    org_params[values[p].trim()] = true;\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "        var displayParams={}\n",
       "        for (var i = 0; i < n.length; i++){\n",
       "            var parts=n[i].split(\"=\");\n",
       "            var key = parts[0].trim();\n",
       "            var value = parts[1].trim()\n",
       "            if (!key.startsWith(\"nostore_\") && key != \"showchrome\" && key != \"prefix\" && key != \"cell_id\" && key != \"org_params\" && !!!org_params[key]){\n",
       "                displayParams[key] = value.substring(1,value.length-1);\n",
       "            }\n",
       "        }\n",
       "        if(curCell&&curCell.output_area){\n",
       "            curCell._metadata.pixiedust = curCell._metadata.pixiedust || {}\n",
       "            curCell._metadata.pixiedust.displayParams=displayParams\n",
       "            curCell.output_area.outputs=[];\n",
       "            var old_msg_id = curCell.last_msg_id;\n",
       "            if (old_msg_id) {\n",
       "                curCell.kernel.clear_callbacks_for_msg(old_msg_id);\n",
       "            }\n",
       "        }else{\n",
       "            console.log(\"couldn't find the cell\");\n",
       "        }\n",
       "        \n",
       "        $('#wrapperJS1e5812a5').html(\"\")\n",
       "        getTargetNode().html('<div style=\"width:100px;height:60px;left:47%;position:relative\"><i class=\"fa fa-circle-o-notch fa-spin\" style=\"font-size:48px\"></i></div>'+\n",
       "        '<div style=\"text-align:center\">Loading your data. Please wait...</div>');\n",
       "        startWallToWall = new Date().getTime();\n",
       "        \n",
       "        console.log(\"Running command2\",command);\n",
       "        IPython.notebook.session.kernel.execute(command, callbacks, {silent:true,store_history:false,stop_on_error:true});\n",
       "    }\n",
       "}\n",
       ")();\n",
       "                    </script>\n",
       "                </div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">.pd_warning{display:none;}</style><div class=\"pd_warning\"><em>Hey, there's something awesome here! To see it, open this notebook outside GitHub, in a viewer like Jupyter</em></div>\n",
       "        <div class=\"pd_save is-viewer-good\" style=\"padding-right:10px;text-align: center;line-height:initial !important;font-size: xx-large;font-weight: 500;color: coral;\">\n",
       "            \n",
       "        </div>\n",
       "    <div id=\"chartFigure1e5812a5\" class=\"pd_save is-viewer-good\" style=\"overflow-x:auto\">\n",
       "            \n",
       "                    \n",
       "                            <center><img style=\"max-width:initial !important\" 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\" class=\"pd_save\"></center>\n",
       "                        \n",
       "                    \n",
       "                \n",
       "        </div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(signal)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "signale_no_ts = signal.select(\"sine\",\"cosine\",\"tangens\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.59025089  0.36394841  0.66829671]\n",
      " [ 0.58769498  0.35608111  0.6648368 ]\n",
      " [ 0.58579272  0.34868366  0.66152219]\n",
      " ..., \n",
      " [ 0.72966429  0.42788427  0.70478662]\n",
      " [ 0.73168465  0.42353137  0.70201033]\n",
      " [ 0.73405932  0.42043875  0.69978748]]\n",
      "[[ 0.99026392  0.99301944  0.99182016]\n",
      " [ 0.99019159  0.99284173  0.99182841]\n",
      " [ 0.99013668  0.99266206  0.99183744]\n",
      " ..., \n",
      " [ 0.99353218  0.9906477   0.98875765]\n",
      " [ 0.99355399  0.99053411  0.98892149]\n",
      " [ 0.99358869  0.99046573  0.98910023]]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "prog = dml(script).input(X=signale_no_ts).input(y=signale_no_ts).output(\"YhatBefore\").output(\"YhatAfter\")\n",
    "\n",
    "result = ml.execute(prog)\n",
    "\n",
    "YhatBefore = result.get(\"YhatBefore\").toNumPy()\n",
    "YhatAfter = result.get(\"YhatAfter\").toNumPy()\n",
    "print YhatBefore\n",
    "print YhatAfter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "97.6044646533\n",
      "71.718628891\n"
     ]
    }
   ],
   "source": [
    "def sse(y,yhat):\n",
    "    return sum(map(lambda (a,b) : pow(a[0]-b[0],2),zip(y,yhat)))\n",
    "print sse(y,YhatBefore)\n",
    "print sse(y,YhatAfter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------+\n",
      "|               sine|\n",
      "+-------------------+\n",
      "|                0.0|\n",
      "|0.06264832615852356|\n",
      "|0.12505052983760834|\n",
      "|0.18696144223213196|\n",
      "|0.24813784658908844|\n",
      "| 0.3083394169807434|\n",
      "|0.36732959747314453|\n",
      "| 0.4248766601085663|\n",
      "|  0.480754554271698|\n",
      "| 0.5347436666488647|\n",
      "| 0.5866320133209229|\n",
      "| 0.6362156271934509|\n",
      "| 0.6832997798919678|\n",
      "| 0.7276994585990906|\n",
      "| 0.7692402601242065|\n",
      "| 0.8077589869499207|\n",
      "| 0.8431042432785034|\n",
      "| 0.8751372694969177|\n",
      "| 0.9037321209907532|\n",
      "| 0.9287765622138977|\n",
      "+-------------------+\n",
      "only showing top 20 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "signale_no_ts.select(\"sine\").show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-------------------+-----------------+-------------------+------------------+-------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+-----------------+-------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-----------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+--------------------+--------------------+-------------------+-------------------+--------------------+--------------------+--------------------+-------------------+------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+-------------------+-------------------+------------------+------------------+------------------+------------------+------------------+-------------------+--------------------+--------------------+--------------------+-------------------+--------------------+--------------------+------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+------------------+------------------+-------------------+------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+--------------------+--------------------+--------------------+--------------------+-------------------+--------------------+--------------------+--------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-----------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+----------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-------------------+-------------------+-------------------+-------------------+--------------------+--------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+--------------------+-------------------+-------------------+-------------------+------------------+------------------+-------------------+-------------------+------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+--------------------+-------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+-------------------+-------------------+------------------+-------------------+------------------+------------------+-------------------+------------------+------------------+-----------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+-------------------+------------------+-------------------+-------------------+-------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+-------------------+-------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+--------------------+--------------------+-------------------+-------------------+-------------------+------------------+-------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+\n",
      "| _1|                 _2|                 _3|                 _4|                 _5|                _6|                 _7|                _8|               _9|               _10|               _11|               _12|               _13|               _14|               _15|               _16|               _17|               _18|               _19|               _20|               _21|               _22|               _23|              _24|              _25|               _26|               _27|               _28|               _29|               _30|               _31|               _32|               _33|               _34|               _35|               _36|               _37|               _38|               _39|               _40|               _41|               _42|               _43|               _44|               _45|                _46|              _47|                _48|               _49|                _50|                 _51|                 _52|                 _53|                 _54|                 _55|                 _56|              _57|                _58|                 _59|                _60|                _61|                _62|                _63|                _64|                _65|                _66|                _67|                _68|                _69|                _70|                _71|                _72|                _73|                _74|                _75|                _76|                _77|               _78|                _79|                _80|                _81|                _82|                _83|                _84|                _85|              _86|                _87|                _88|                _89|                _90|               _91|                _92|                _93|                _94|                 _95|                 _96|                _97|                _98|                 _99|                _100|                _101|               _102|              _103|               _104|               _105|               _106|              _107|               _108|               _109|             _110|              _111|              _112|              _113|              _114|              _115|              _116|              _117|              _118|              _119|              _120|              _121|              _122|              _123|              _124|              _125|              _126|              _127|              _128|              _129|             _130|              _131|              _132|              _133|              _134|              _135|              _136|              _137|              _138|              _139|             _140|              _141|              _142|               _143|               _144|              _145|              _146|              _147|              _148|              _149|               _150|                _151|                _152|                _153|               _154|                _155|                _156|              _157|                _158|               _159|               _160|               _161|               _162|               _163|               _164|               _165|               _166|               _167|               _168|               _169|               _170|               _171|               _172|               _173|              _174|               _175|               _176|               _177|               _178|              _179|              _180|               _181|              _182|               _183|               _184|              _185|               _186|               _187|               _188|               _189|               _190|              _191|               _192|               _193|                _194|                _195|                _196|                _197|               _198|                _199|                _200|                _201|                _202|               _203|               _204|               _205|               _206|               _207|              _208|             _209|              _210|              _211|             _212|              _213|              _214|              _215|              _216|              _217|              _218|              _219|              _220|              _221|             _222|              _223|              _224|              _225|              _226|              _227|              _228|              _229|              _230|              _231|              _232|              _233|              _234|            _235|              _236|              _237|              _238|             _239|              _240|              _241|              _242|              _243|              _244|              _245|              _246|               _247|               _248|               _249|               _250|                _251|                _252|                _253|               _254|               _255|               _256|               _257|               _258|                _259|               _260|               _261|               _262|              _263|              _264|               _265|               _266|              _267|               _268|              _269|               _270|               _271|               _272|               _273|               _274|               _275|               _276|               _277|               _278|              _279|               _280|               _281|               _282|               _283|               _284|               _285|               _286|               _287|               _288|               _289|               _290|               _291|               _292|               _293|                _294|               _295|                _296|                _297|                _298|                _299|                _300|                _301|               _302|               _303|              _304|               _305|              _306|          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       _359|                _360|               _361|               _362|               _363|               _364|               _365|               _366|               _367|               _368|               _369|               _370|               _371|               _372|               _373|               _374|               _375|               _376|               _377|               _378|               _379|              _380|               _381|              _382|               _383|               _384|              _385|               _386|               _387|               _388|               _389|               _390|               _391|              _392|               _393|                _394|               _395|               _396|               _397|               _398|               _399|               _400|                _401|                _402|               _403|               _404|               _405|              _406|               _407|              _408|              _409|              _410|              _411|              _412|             _413|              _414|              _415|              _416|             _417|              _418|              _419|              _420|              _421|              _422|              _423|              _424|              _425|              _426|              _427|              _428|              _429|              _430|              _431|              _432|              _433|              _434|              _435|              _436|              _437|             _438|              _439|              _440|              _441|\n",
      "+---+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-------------------+-----------------+-------------------+------------------+-------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+-----------------+-------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-----------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+--------------------+--------------------+-------------------+-------------------+--------------------+--------------------+--------------------+-------------------+------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+-------------------+-------------------+------------------+------------------+------------------+------------------+------------------+-------------------+--------------------+--------------------+--------------------+-------------------+--------------------+--------------------+------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+------------------+------------------+-------------------+------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+--------------------+--------------------+--------------------+--------------------+-------------------+--------------------+--------------------+--------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-----------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+----------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-------------------+-------------------+-------------------+-------------------+--------------------+--------------------+--------------------+-------------------+-------------------+-------------------+-----------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      "+---+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-------------------+-----------------+-------------------+------------------+-------------------+--------------------+--------------------+--------------------+--------------------+--------------------+--------------------+-----------------+-------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-----------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+--------------------+--------------------+-------------------+-------------------+--------------------+--------------------+--------------------+-------------------+------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+-------------------+-------------------+------------------+------------------+------------------+------------------+------------------+-------------------+--------------------+--------------------+--------------------+-------------------+--------------------+--------------------+------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+------------------+------------------+-------------------+------------------+-------------------+-------------------+------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-------------------+-------------------+--------------------+--------------------+--------------------+--------------------+-------------------+--------------------+--------------------+--------------------+--------------------+-------------------+-------------------+-------------------+-------------------+-------------------+------------------+-----------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+----------------+------------------+------------------+------------------+-----------------+------------------+------------------+------------------+------------------+------------------+------------------+------------------+-------------------+-------------------+-------------------+-------------------+--------------------+--------------------+--------------------+-------------------+-------------------+-------------------+-----------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      "\n"
     ]
    }
   ],
   "source": [
    "transpose(signale_no_ts.select(\"sine\")).show()"
   ]
  }
 ],
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