{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Subplots with table and traces with different realtive  position ##"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from plotly.offline import download_plotlyjs, init_notebook_mode,  iplot, plot\n",
    "init_notebook_mode(connected=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Number-transactions</th>\n",
       "      <th>Output-volume(BTC)</th>\n",
       "      <th>Market-price</th>\n",
       "      <th>Hash-rate</th>\n",
       "      <th>Cost-per-trans-USD</th>\n",
       "      <th>Mining-revenue-USD</th>\n",
       "      <th>Transaction-fees-BTC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-04-29 00:00:00</td>\n",
       "      <td>341319</td>\n",
       "      <td>4.488916e+06</td>\n",
       "      <td>3.119179e+06</td>\n",
       "      <td>4.488916e+06</td>\n",
       "      <td>9.460796</td>\n",
       "      <td>3.119179e+06</td>\n",
       "      <td>256.376481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-04-30 00:00:00</td>\n",
       "      <td>281489</td>\n",
       "      <td>3.918072e+06</td>\n",
       "      <td>2.720216e+06</td>\n",
       "      <td>3.918072e+06</td>\n",
       "      <td>10.030446</td>\n",
       "      <td>2.720216e+06</td>\n",
       "      <td>199.307639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-05-01 00:00:00</td>\n",
       "      <td>294786</td>\n",
       "      <td>3.892124e+06</td>\n",
       "      <td>2.878278e+06</td>\n",
       "      <td>3.892124e+06</td>\n",
       "      <td>10.108888</td>\n",
       "      <td>2.878278e+06</td>\n",
       "      <td>227.748866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-05-02 00:00:00</td>\n",
       "      <td>333161</td>\n",
       "      <td>4.099704e+06</td>\n",
       "      <td>3.149553e+06</td>\n",
       "      <td>4.099704e+06</td>\n",
       "      <td>9.796472</td>\n",
       "      <td>3.149553e+06</td>\n",
       "      <td>272.679662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-05-03 00:00:00</td>\n",
       "      <td>295149</td>\n",
       "      <td>3.425069e+06</td>\n",
       "      <td>2.760373e+06</td>\n",
       "      <td>3.425069e+06</td>\n",
       "      <td>9.691347</td>\n",
       "      <td>2.760373e+06</td>\n",
       "      <td>247.343677</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Date  Number-transactions  Output-volume(BTC)  Market-price  \\\n",
       "0  2017-04-29 00:00:00               341319        4.488916e+06  3.119179e+06   \n",
       "1  2017-04-30 00:00:00               281489        3.918072e+06  2.720216e+06   \n",
       "2  2017-05-01 00:00:00               294786        3.892124e+06  2.878278e+06   \n",
       "3  2017-05-02 00:00:00               333161        4.099704e+06  3.149553e+06   \n",
       "4  2017-05-03 00:00:00               295149        3.425069e+06  2.760373e+06   \n",
       "\n",
       "      Hash-rate  Cost-per-trans-USD  Mining-revenue-USD  Transaction-fees-BTC  \n",
       "0  4.488916e+06            9.460796        3.119179e+06            256.376481  \n",
       "1  3.918072e+06           10.030446        2.720216e+06            199.307639  \n",
       "2  3.892124e+06           10.108888        2.878278e+06            227.748866  \n",
       "3  4.099704e+06            9.796472        3.149553e+06            272.679662  \n",
       "4  3.425069e+06            9.691347        2.760373e+06            247.343677  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_excel('Mining-BTC-180.xls')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'Date', u'Number-transactions', u'Output-volume(BTC)', u'Market-price',\n",
       "       u'Hash-rate', u'Cost-per-trans-USD', u'Mining-revenue-USD',\n",
       "       u'Transaction-fees-BTC'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert each string in `df['Date']` to a datetime.date element. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df['Date']=map(lambda x: x.date(),[pd.to_datetime(dr) for dr in df['Date']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'Date', u'Number-transactions', u'Output-volume(BTC)', u'Market-price',\n",
       "       u'Hash-rate', u'Cost-per-trans-USD', u'Mining-revenue-USD',\n",
       "       u'Transaction-fees-BTC'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "table_trace1=dict(type = 'table',\n",
    "                  domain=dict(x= [0.0, 0.5],\n",
    "                             y= [0, 1.0]),\n",
    "                 \n",
    "                 columnwidth= [30]+[ 33, 35, 33],\n",
    "                 columnorder=[0, 1, 2, 3, 4],\n",
    "                 header = dict(height = 50,\n",
    "                               values = [['<b>Date</b>'],['<b>Hash Rate, TH/sec</b>'], \n",
    "                                         ['<b>Mining revenue</b>'], ['<b>Transaction fees</b>']], \n",
    "                                \n",
    "                               line = dict(color='rgb(50,50,50)'),\n",
    "                               align = ['left']*5,\n",
    "                               font = dict(color=['rgb(45,45,45)']*5, size=14),\n",
    "                               fill = dict( color = '#d562be' )#fill color for header\n",
    "                              ),\n",
    "                 cells = dict(values = [df['Date'][-20:], df['Hash-rate'][-20:], df['Mining-revenue-USD'][-20:],\n",
    "                                        df['Transaction-fees-BTC'][-20:],\n",
    "                                       ],\n",
    "                              line = dict(color='#506784'),\n",
    "                              align = ['left']*5,\n",
    "                              font = dict(color=['rgb(40,40,40)']*5, size=12),\n",
    "                              format = [None]+ [\",.2f\"]*2+[',.4f'],  \n",
    "                              prefix = [None]*2+['$', u'\\u20BF'],\n",
    "                              suffix=[None]*4,\n",
    "                              height = 27,\n",
    "                              fill = dict( color = ['rgb(235,193, 238', 'rgba(228, 222,249, 0.65)'] )\n",
    "                             )\n",
    "                  )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "trace1=dict(type='scatter',\n",
    "            x=df['Date'],\n",
    "            y=df['Hash-rate'],\n",
    "            xaxis='x1',\n",
    "            yaxis='y1',\n",
    "            mode='lines',\n",
    "            line=dict(width=2, color='#9748a1'),\n",
    "            name='hash-rate-TH/s')\n",
    "\n",
    "trace2=dict(type='scatter',\n",
    "            x=df['Date'],\n",
    "            y=df['Mining-revenue-USD'],\n",
    "            xaxis='x2',\n",
    "            yaxis='y2',\n",
    "            mode='lines',\n",
    "            line=dict(width=2, color='#b04553'),\n",
    "            name='mining revenue')\n",
    "\n",
    "trace3=dict(type='scatter',\n",
    "            x=df['Date'],\n",
    "            y=df['Transaction-fees-BTC'],\n",
    "            xaxis='x3',\n",
    "            yaxis='y3',\n",
    "            mode='lines',\n",
    "            line=dict(width=2, color='#af7bbd'),\n",
    "            name='transact-fee')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "axis=dict(showline=True, zeroline=False, showgrid=True, mirror=True, \n",
    "          ticklen=4, gridcolor='#ffffff', tickfont=dict(size=10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "layout1 = dict(width=950, height=800, autosize=False, title='Bitcoin mining stats for 180 days',\n",
    "    margin = dict(t=100,l=0,r=0,b=100),\n",
    "    showlegend=False,          \n",
    "    xaxis1=dict(axis, **dict(domain=[0.55,0.98], anchor= 'y1', showticklabels=False)),\n",
    "    xaxis2=dict(axis, **dict(domain=[0.55,0.98], anchor= 'y2', showticklabels=False)),          \n",
    "    xaxis3=dict(axis, **dict(domain=[0.55,0.98], anchor= 'y3')), \n",
    "    yaxis1=dict(axis, **dict(domain=[0.68,1], anchor= 'x1', hoverformat='.2f')),  \n",
    "    yaxis2=dict(axis, **dict(domain=[0.34,0.66], anchor= 'x2', tickprefix='$', hoverformat='.2f')),\n",
    "    yaxis3=dict(axis, **dict(domain=[0.0,0.32], anchor= 'x3', tickprefix=u'\\u20BF', hoverformat='.2f')),          \n",
    "    plot_bgcolor='rgba(228, 222,249, 0.65)' ,\n",
    "    annotations=[dict(showarrow=False, \n",
    "            text='The last 20 records',  \n",
    "            xref='paper',     \n",
    "            yref='paper',     \n",
    "            x=0.2,  \n",
    "            y=1.01,  \n",
    "            xanchor='left',   \n",
    "            yanchor='bottom',  \n",
    "            font=dict(\n",
    "            size=15 ))]           \n",
    ")\n",
    "\n",
    "fig1 = dict(data=[table_trace1, trace1, trace2, trace3], layout=layout1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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     "metadata": {},
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   "source": [
    "iplot(fig1)"
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  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'Date', u'Number-transactions', u'Output-volume(BTC)', u'Market-price',\n",
       "       u'Hash-rate', u'Cost-per-trans-USD', u'Mining-revenue-USD',\n",
       "       u'Transaction-fees-BTC'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
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   "source": [
    "table_trace2=dict(type = 'table',\n",
    "                  domain=dict(x= [0.1, 0.9],\n",
    "                             y= [0.4, 1]),\n",
    "                 \n",
    "                 columnwidth= [30]+[ 33, 35, 33],\n",
    "                 columnorder=[0, 1, 2, 3, 4],\n",
    "                 header = dict(height = 50,\n",
    "                               values = [['<b>Date</b>'],['<b>Nr-transactions</b>'], \n",
    "                                         ['<b>Output-volume</b>'],\n",
    "                                           ['<b>Cost-per-trans</b>']],\n",
    "                               line = dict(color='rgb(50,50,50)'),\n",
    "                               align = ['left']*4,\n",
    "                               font = dict(color=['rgb(45,45,45)']*4, size=14),\n",
    "                               fill = dict( color = '#d562be' )#fill color for header\n",
    "                              ),\n",
    "                 cells = dict(values = [df['Date'][-60:-44], \n",
    "                                        df['Number-transactions'][-60:-44],\n",
    "                                        df['Output-volume(BTC)'][-60:-44],\n",
    "                                        df['Cost-per-trans-USD'][-60:-44]\n",
    "                                       ],\n",
    "                              line = dict(color='#506784'),\n",
    "                              align = ['left']*4,\n",
    "                              font = dict(color=['rgb(40,40,40)']*4, size=12),\n",
    "                              format = [None]+ ['d']+[\",.2f\"]*2,  \n",
    "                              prefix = [None]*2+[ u'\\u20BF', '$'],\n",
    "                              suffix=[None]*4,\n",
    "                              height = 27,\n",
    "                              fill = dict( color = ['rgb(235,193, 238', 'rgba(228, 222,249, 0.65)'] )\n",
    "                             )\n",
    "                  )\n"
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  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "trace4=dict(type='scatter',\n",
    "            x=df['Date'],\n",
    "            y=df['Number-transactions'],\n",
    "            xaxis='x1',\n",
    "            yaxis='y1',\n",
    "            mode='lines',\n",
    "            line=dict(width=2, color='#af7bbd'),\n",
    "            name='nr-transac')\n",
    "\n",
    "trace5=dict(type='scatter',\n",
    "            x=df['Date'],\n",
    "            y=df['Output-volume(BTC)'],\n",
    "            xaxis='x2',\n",
    "            yaxis='y2',\n",
    "            mode='lines',\n",
    "            line=dict(width=2, color='#b04553'),\n",
    "            name='ouput-vol')\n",
    "\n",
    "trace6=dict(type='scatter',\n",
    "            x=df['Date'],\n",
    "            y=  df['Cost-per-trans-USD'],\n",
    "            xaxis='x3',\n",
    "            yaxis='y3',\n",
    "            mode='lines',\n",
    "            line=dict(width=2, color='#9748a1'),\n",
    "            name='cost-transac')"
   ]
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  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "layout2 = dict(width=800, height=1000, autosize=False, title='Bitcoin transaction  summary for 180 days',\n",
    "    margin = dict(t=100, l=60,r=0),\n",
    "    showlegend=False,          \n",
    "    xaxis1=dict(axis, **dict(domain=[0.1,0.9], anchor= 'y1', showgrid=False, showticklabels=False)),\n",
    "    xaxis2=dict(axis, **dict(domain=[0.1,0.9], anchor= 'y2', showgrid=False, showticklabels=False)),\n",
    "    xaxis3=dict(axis, **dict(domain=[0.1,0.9], anchor= 'y3',showgrid=False, showticklabels=True)),           \n",
    "    yaxis1=dict(axis, **dict(domain=[0.28, 0.398],  anchor= 'x1', showgrid=False, hoverformat='d')), \n",
    "    yaxis2=dict(axis, **dict(domain=[0.14, 0.26],  anchor= 'x2', showgrid=False, tickprefix= u'\\u20BF', hoverformat='.2f')), \n",
    "     yaxis3=dict(axis, **dict(domain=[0, 0.12],  anchor= 'x3', showgrid=False, tickprefix='S', hoverformat='.2f')),            \n",
    "    plot_bgcolor='rgba(228, 222,249, 0.65)', \n",
    "    annotations=[dict(showarrow=False, \n",
    "            text='16 records around the date of september 3, 2017',  \n",
    "            xref='paper',     \n",
    "            yref='paper',     \n",
    "            x=0.2,  \n",
    "            y=1.01,  \n",
    "            xanchor='left',   \n",
    "            yanchor='bottom',  \n",
    "            font=dict(\n",
    "            size=15 ))], \n",
    "                \n",
    "    shapes=[dict(type='rect',\n",
    "                 xref='x3',\n",
    "                 yref='y3',\n",
    "            x0=df['Date'].iloc[-60],\n",
    "            y0=8,\n",
    "            x1=df['Date'].iloc[-43],\n",
    "            y1=53,\n",
    "            layer='below',\n",
    "            line=dict(color='rgba(235,193, 238, 0.9)', width=0.5),\n",
    "            fillcolor= 'rgba(235,193, 238, 0.9)'\n",
    "            ),\n",
    "           dict(type='rect',\n",
    "                 xref='x2',\n",
    "                 yref='y2',\n",
    "            x0=df['Date'].iloc[-60],\n",
    "            y0=3327226,\n",
    "            x1=df['Date'].iloc[-43],\n",
    "            y1=11801113,\n",
    "            layer='below',\n",
    "            line=dict(color='rgba(235,193, 238, 0.9)', width=0.5),\n",
    "            fillcolor= 'rgba(235,193, 238, 0.9)'\n",
    "            ),\n",
    "           dict(type='rect',\n",
    "                 xref='x1',\n",
    "                 yref='y1',\n",
    "            x0=df['Date'].iloc[-60],\n",
    "            y0=130875,\n",
    "            x1=df['Date'].iloc[-43],\n",
    "            y1=375098,\n",
    "            layer='below',\n",
    "            line=dict(color='rgba(235,193, 238, 1)', width=0.5),\n",
    "            fillcolor= 'rgba(235,193, 238, 1)'\n",
    "            )]         \n",
    ")\n",
    "\n",
    "fig2 = dict(data=[table_trace2, trace4, trace5, trace6], layout=layout2)"
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