{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from IPython.display import display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import plotly\n",
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "import plotly.tools as tls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import tak as tw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X,df = tw.data.pnc.load_connectome()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>bblid</th>\n",
       "      <th>race</th>\n",
       "      <th>ethnicity</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>edu</th>\n",
       "      <th>fedu</th>\n",
       "      <th>medu</th>\n",
       "      <th>handedness</th>\n",
       "      <th>dxpmrv4_diagnosis</th>\n",
       "      <th>dxpmrv4_diagnosis_num</th>\n",
       "      <th>medical_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>080010</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Male</td>\n",
       "      <td>21.7500</td>\n",
       "      <td>14.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1</td>\n",
       "      <td>TD</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>080199</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>20.3333</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1</td>\n",
       "      <td>PS-L</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>080208</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Male</td>\n",
       "      <td>20.5000</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2</td>\n",
       "      <td>PS-L</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>080249</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Female</td>\n",
       "      <td>20.8333</td>\n",
       "      <td>16.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1</td>\n",
       "      <td>TD</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>080265</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Female</td>\n",
       "      <td>20.5000</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2</td>\n",
       "      <td>OP</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>080425</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Female</td>\n",
       "      <td>20.0000</td>\n",
       "      <td>12.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2</td>\n",
       "      <td>OP</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>080498</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Male</td>\n",
       "      <td>20.9167</td>\n",
       "      <td>14.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1</td>\n",
       "      <td>PS</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>080537</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Female</td>\n",
       "      <td>20.9167</td>\n",
       "      <td>14.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1</td>\n",
       "      <td>TD</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>080557</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>Female</td>\n",
       "      <td>21.5000</td>\n",
       "      <td>15.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>1</td>\n",
       "      <td>TD</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>080575</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Male</td>\n",
       "      <td>21.7500</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>1</td>\n",
       "      <td>OP</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    bblid race ethnicity     sex      age   edu  fedu  medu handedness  \\\n",
       "0  080010    1         2    Male  21.7500  14.0  20.0  16.0          1   \n",
       "1  080199    5         1    Male  20.3333  12.0   NaN  12.0          1   \n",
       "2  080208    2         2    Male  20.5000  11.0  12.0  12.0          2   \n",
       "3  080249    1         2  Female  20.8333  16.0  10.0  12.0          1   \n",
       "4  080265    2         2  Female  20.5000  12.0  12.0  16.0          2   \n",
       "5  080425    2         2  Female  20.0000  12.0  14.0  12.0          2   \n",
       "6  080498    2         2    Male  20.9167  14.0  15.0  16.0          1   \n",
       "7  080537    1         2  Female  20.9167  14.0  15.0  12.0          1   \n",
       "8  080557    2         2  Female  21.5000  15.0  12.0  12.0          1   \n",
       "9  080575    1         2    Male  21.7500  16.0  20.0  20.0          1   \n",
       "\n",
       "  dxpmrv4_diagnosis dxpmrv4_diagnosis_num medical_rating  \n",
       "0                TD                     1              2  \n",
       "1              PS-L                     3              1  \n",
       "2              PS-L                     3              2  \n",
       "3                TD                     1              2  \n",
       "4                OP                     2              0  \n",
       "5                OP                     2              0  \n",
       "6                PS                     4              1  \n",
       "7                TD                     1              2  \n",
       "8                TD                     1              0  \n",
       "9                OP                     2              0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(n=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bblid                     0\n",
       "race                      0\n",
       "ethnicity                 0\n",
       "sex                       0\n",
       "age                       0\n",
       "edu                       0\n",
       "fedu                     82\n",
       "medu                     11\n",
       "handedness                0\n",
       "dxpmrv4_diagnosis         0\n",
       "dxpmrv4_diagnosis_num     0\n",
       "medical_rating            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Handle nan values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# use median fill for nans\n",
    "df.fedu.fillna( df.fedu.median() ,inplace=True)\n",
    "df.medu.fillna( df.medu.median() ,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bblid                    0\n",
       "race                     0\n",
       "ethnicity                0\n",
       "sex                      0\n",
       "age                      0\n",
       "edu                      0\n",
       "fedu                     0\n",
       "medu                     0\n",
       "handedness               0\n",
       "dxpmrv4_diagnosis        0\n",
       "dxpmrv4_diagnosis_num    0\n",
       "medical_rating           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'bblid', u'race', u'ethnicity', u'sex', u'age', u'edu', u'fedu',\n",
       "       u'medu', u'handedness', u'dxpmrv4_diagnosis', u'dxpmrv4_diagnosis_num',\n",
       "       u'medical_rating'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create histogram of numeric scores\n",
    "See if they are matched in gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "options = dict(rug=True, kde=True)\n",
    "scores = ['age','edu','fedu','medu']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iwRAXxyqbDVzh8Wu6IS4Oi8USsvrOrw5dXYqicPfdd18y935Fjh49Wu7+8tqV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sB2ZHzaeBgiAIQvvgzvAdYQpJiq2jZtswauzMHLaanj2tNd677TYnkyeXt+wJVSqffEyJFWeJ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\nGvH/AYQlSUg5NSN+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f671e666b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# temporarily change axes style\n",
    "with sns.axes_style('darkgrid'):\n",
    "    fig,axes = plt.subplots(2,2)\n",
    "    axes = axes.ravel()\n",
    "\n",
    "for i, score in enumerate(scores):\n",
    "    sns.distplot(df[ df['sex'] == 'Male'][score],label='Male',ax=axes[i],**options)\n",
    "    sns.distplot(df[ df['sex'] == 'Female'][score],color='red',label='Female',ax=axes[i],**options)\n",
    "    axes[i].legend(loc='best')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Display mean connectome heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "X_mean = X.mean(axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert vectorized connectivity matrix back to square matrix form"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3655,)\n",
      "(86, 86)\n"
     ]
    }
   ],
   "source": [
    "from scipy.spatial.distance import squareform\n",
    "print X_mean.shape\n",
    "X_mean = squareform(X_mean)\n",
    "print X_mean.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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9k1iW2ign0Vy7YkOaG1UzbUbj+oKC6yeB5HVPu9XXIbtkXQV7ypLUbIr9imTF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\nbtw41NbWIi8vD+vWrQMAFBQUoLq6GgAwffr0WPz69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+1OXIJYv+baBZLlydRCLyEtko/W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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f671e5dd3d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tw.imconnmat(X_mean)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Nice, let's repeat using plotly\n",
    "- first need to define `colorscale` containing list of rgb values\n",
    "- I'll choose `seismic` colormap from mpl (see http://matplotlib.org/examples/color/colormaps_reference.html for a full list)\n",
    "- below, I borrowed the idea from http://thomas-cokelaer.info/blog/2014/09/about-matplotlib-colormap-and-how-to-get-rgb-values-of-the-map/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from matplotlib import cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# convert to plotly readable form, which requires list containing paired values:\n",
    "# (1) value interpolating from decimal value 0 to 1\n",
    "# (2) corresponding rgb hex value\n",
    "cscale = cm.seismic\n",
    "my_cscale = []\n",
    "for i in xrange(256):\n",
    "    r,g,b = cscale(i)[:3]\n",
    "    my_cscale.append([i/255., '#%02x%02x%02x' %  (int(r*255+0.5), int(g*255+0.5), int(b*255+0.5))])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.0, '#00004d'],\n",
      " [0.00392156862745098, '#00004f'],\n",
      " [0.00784313725490196, '#000052'],\n",
      " [0.011764705882352941, '#000055'],\n",
      " [0.01568627450980392, '#000058']]\n",
      "...\n",
      "[[0.984313725490196, '#880000'],\n",
      " [0.9882352941176471, '#860000'],\n",
      " [0.9921568627450981, '#840000'],\n",
      " [0.996078431372549, '#820000'],\n",
      " [1.0, '#800000']]\n"
     ]
    }
   ],
   "source": [
    "from pprint import pprint\n",
    "pprint(my_cscale[:5])\n",
    "print '...'\n",
    "pprint(my_cscale[-5:])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create plotly `trace` object\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = [go.Heatmap(\n",
    "    z = X_mean,\n",
    ")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~takanori/217.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "py.iplot(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bunch of layout objects\n",
    "for personal reference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "layout = go.Layout(\n",
    "    xaxis=dict(\n",
    "        showgrid=False,\n",
    "        showline=True,\n",
    "        linecolor='rgb(102, 102, 102)',\n",
    "        titlefont=dict(\n",
    "            color='rgb(204, 204, 204)'\n",
    "        ),\n",
    "        tickfont=dict(\n",
    "            color='rgb(102, 102, 102)',\n",
    "        ),\n",
    "        autotick=False,\n",
    "        dtick=10,\n",
    "        ticks='outside',\n",
    "        tickcolor='rgb(102, 102, 102)',\n",
    "    ),\n",
    "    margin=dict(\n",
    "        l=140,\n",
    "        r=40,\n",
    "        b=50,\n",
    "        t=80\n",
    "    ),\n",
    "    legend=dict(\n",
    "        font=dict(\n",
    "            size=10,\n",
    "        ),\n",
    "        yanchor='middle',\n",
    "        xanchor='right',\n",
    "    ),\n",
    "    showlegend=False,\n",
    "    paper_bgcolor='rgb(254, 247, 234)',\n",
    "    plot_bgcolor='rgb(254, 247, 234)',\n",
    "    hovermode='closest',    \n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Nice, but we can do better by defining a `layout` object"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_nodes = tw.get_node_info86()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>name_full</th>\n",
       "      <th>lobes</th>\n",
       "      <th>name_short</th>\n",
       "      <th>system</th>\n",
       "      <th>name_short_h1</th>\n",
       "      <th>name_short_h2</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "      <th>hemisphere</th>\n",
       "      <th>xmni</th>\n",
       "      <th>ymni</th>\n",
       "      <th>zmni</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1001</td>\n",
       "      <td>ctx-lh-bankssts</td>\n",
       "      <td>L temporal</td>\n",
       "      <td>Bank of the Superior Temporal Sulcus</td>\n",
       "      <td>auditory</td>\n",
       "      <td>L-Bank of the Superior Temporal Sulcus</td>\n",
       "      <td>Bank of the Superior Temporal Sulcus-L</td>\n",
       "      <td>178</td>\n",
       "      <td>158</td>\n",
       "      <td>83</td>\n",
       "      <td>L</td>\n",
       "      <td>-54.15</td>\n",
       "      <td>-45.20</td>\n",
       "      <td>9.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1002</td>\n",
       "      <td>ctx-lh-caudalanteriorcingulate</td>\n",
       "      <td>L frontal</td>\n",
       "      <td>Caudal Anterior Cingulate</td>\n",
       "      <td>cingulo-opercular</td>\n",
       "      <td>L-Caudal Anterior Cingulate</td>\n",
       "      <td>Caudal Anterior Cingulate-L</td>\n",
       "      <td>130</td>\n",
       "      <td>91</td>\n",
       "      <td>102</td>\n",
       "      <td>L</td>\n",
       "      <td>-4.35</td>\n",
       "      <td>17.15</td>\n",
       "      <td>29.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1003</td>\n",
       "      <td>ctx-lh-caudalmiddlefrontal</td>\n",
       "      <td>L frontal</td>\n",
       "      <td>Caudal Middle Frontal</td>\n",
       "      <td>fronto-parietal</td>\n",
       "      <td>L-Caudal Middle Frontal</td>\n",
       "      <td>Caudal Middle Frontal-L</td>\n",
       "      <td>158</td>\n",
       "      <td>101</td>\n",
       "      <td>121</td>\n",
       "      <td>L</td>\n",
       "      <td>-36.45</td>\n",
       "      <td>10.20</td>\n",
       "      <td>47.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1005</td>\n",
       "      <td>ctx-lh-cuneus</td>\n",
       "      <td>L occipital</td>\n",
       "      <td>Cuneus</td>\n",
       "      <td>visual</td>\n",
       "      <td>L-Cuneus</td>\n",
       "      <td>Cuneus-L</td>\n",
       "      <td>134</td>\n",
       "      <td>192</td>\n",
       "      <td>86</td>\n",
       "      <td>L</td>\n",
       "      <td>-5.55</td>\n",
       "      <td>-83.75</td>\n",
       "      <td>18.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1006</td>\n",
       "      <td>ctx-lh-entorhinal</td>\n",
       "      <td>L temporal</td>\n",
       "      <td>Entorhinal</td>\n",
       "      <td>visual</td>\n",
       "      <td>L-Entorhinal</td>\n",
       "      <td>Entorhinal-L</td>\n",
       "      <td>150</td>\n",
       "      <td>116</td>\n",
       "      <td>41</td>\n",
       "      <td>L</td>\n",
       "      <td>-23.85</td>\n",
       "      <td>-5.90</td>\n",
       "      <td>-31.95</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   label                       name_full        lobes  \\\n",
       "0   1001                 ctx-lh-bankssts   L temporal   \n",
       "1   1002  ctx-lh-caudalanteriorcingulate    L frontal   \n",
       "2   1003      ctx-lh-caudalmiddlefrontal    L frontal   \n",
       "3   1005                   ctx-lh-cuneus  L occipital   \n",
       "4   1006               ctx-lh-entorhinal   L temporal   \n",
       "\n",
       "                             name_short             system  \\\n",
       "0  Bank of the Superior Temporal Sulcus           auditory   \n",
       "1             Caudal Anterior Cingulate  cingulo-opercular   \n",
       "2                 Caudal Middle Frontal    fronto-parietal   \n",
       "3                                Cuneus             visual   \n",
       "4                            Entorhinal             visual   \n",
       "\n",
       "                            name_short_h1  \\\n",
       "0  L-Bank of the Superior Temporal Sulcus   \n",
       "1             L-Caudal Anterior Cingulate   \n",
       "2                 L-Caudal Middle Frontal   \n",
       "3                                L-Cuneus   \n",
       "4                            L-Entorhinal   \n",
       "\n",
       "                            name_short_h2    x    y    z hemisphere   xmni  \\\n",
       "0  Bank of the Superior Temporal Sulcus-L  178  158   83          L -54.15   \n",
       "1             Caudal Anterior Cingulate-L  130   91  102          L  -4.35   \n",
       "2                 Caudal Middle Frontal-L  158  101  121          L -36.45   \n",
       "3                                Cuneus-L  134  192   86          L  -5.55   \n",
       "4                            Entorhinal-L  150  116   41          L -23.85   \n",
       "\n",
       "    ymni   zmni  \n",
       "0 -45.20   9.35  \n",
       "1  17.15  29.15  \n",
       "2  10.20  47.45  \n",
       "3 -83.75  18.40  \n",
       "4  -5.90 -31.95  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_nodes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "trace = go.Heatmap(\n",
    "    z = X_mean,\n",
    "        x = df_nodes['name_full'],\n",
    "        y = df_nodes['name_full'],\n",
    "    colorscale=my_cscale,\n",
    ")\n",
    "data = [trace] # can define multiple trace...not necessary for this example\n",
    "\n",
    "# define my own layout\n",
    "layout = go.Layout(\n",
    "    title='Mean structural connectivity',\n",
    "    titlefont = dict(size=37, color='black'),\n",
    "    xaxis = dict(ticks='',range=[0,85],nticks=X_mean.shape[1], title='node',gridcolor='green',\n",
    "                 linecolor='green',showline=True,showgrid=True,\n",
    "                 titlefont=dict(size=32),\n",
    "                 tickfont=dict(size=8),\n",
    "                 categoryarray=df_nodes['system'],\n",
    "                ),\n",
    "    #yaxis = dict(ticks='',nticks=X_mean.shape[0], title='node'),\n",
    "    yaxis = dict(ticks='',title='node',\n",
    "                 #autorange='reversed', # rather use range\n",
    "                 range=[85,0], nticks=86,\n",
    "                 rangeselector = dict(yanchor='middle'),\n",
    "                 tickfont=dict(size=9),                 \n",
    "                 categoryarray=df_nodes['system'],\n",
    "            ),\n",
    "    scene = dict(aspectmode=\"manual\",aspectratio=dict(x=1,y=1)),\n",
    "    autosize=False,\n",
    "    # sadly, no directly way to preserve aspect ratio...\n",
    "    # https://github.com/plotly/plotly.py/issues/70\n",
    "    # So just stick with static size for now...\n",
    "    width=1000,\n",
    "    height=1000,\n",
    ")\n",
    "# py.iplot([trace])\n",
    "\n",
    "#bummer...gridlines over heatmap not supported...\n",
    "#http://community.plot.ly/t/gridlines-over-heatmap/970\n",
    "\n",
    "fig = go.Figure(data=data, layout=layout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~takanori/325.embed\" height=\"1000px\" width=\"1000px\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Try again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~takanori/356.embed\" height=\"1000px\" width=\"1000px\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trace = go.Heatmap(\n",
    "    z = X_mean,\n",
    "    x = df_nodes['name_full'],\n",
    "    y = df_nodes['name_full'],\n",
    "    hoverinfo=dict(flags = ['x','y','z','text','name']),\n",
    "    colorscale=my_cscale,\n",
    ")\n",
    "data = [trace] # can define multiple trace...not necessary for this example\n",
    "\n",
    "# define my own layout\n",
    "layout = go.Layout(\n",
    "    title='Mean structural connectivity',\n",
    "    titlefont = dict(size=37, color='black'),\n",
    "    xaxis = dict(ticks='',range=[0,85],nticks=X_mean.shape[1], \n",
    "                 #title='node',\n",
    "                 #gridcolor='green',\n",
    "                 #linecolor='green',showline=True,showgrid=True,\n",
    "                 #titlefont=dict(size=32),\n",
    "                 tickfont=dict(size=8),\n",
    "                 categoryarray=df_nodes['system'],\n",
    "                ),\n",
    "    #yaxis = dict(ticks='',nticks=X_mean.shape[0], title='node'),\n",
    "    yaxis = dict(ticks='',\n",
    "                 #title='node',\n",
    "                 #autorange='reversed', # rather use range\n",
    "                 range=[85,0], nticks=86,\n",
    "                 #rangeselector = dict(yanchor='middle'),\n",
    "                 tickfont=dict(size=9),\n",
    "                 categoryarray=df_nodes['system'],\n",
    "            ),\n",
    "    width=1000,\n",
    "    height=1000,\n",
    ")\n",
    "\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "py.iplot(fig,filename='conn/pnc-mean')"
   ]
  }
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