Plotly, Grouped Bar Chart.ipynb

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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotly, Grouped Bar Chart\n",
    "\n",
    "Ref:\n",
    "\n",
    "**Tables With Graphs**  \n",
    "https://plot.ly/python/table/\n",
    "\n",
    "\n",
    "**BAR CHART WITH LINE PLOT**  \n",
    "https://plot.ly/python/horizontal-bar-charts/#bar-chart-with-line-plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "# Add graph data\n",
    "teams = ['Montréal Canadiens', 'Dallas Stars', 'NY Rangers',\n",
    "'Boston Bruins', 'Chicago Blackhawks', 'LA Kings', 'Ottawa Senators']\n",
    "GFPG = [3.54, 3.48, 3.0, 3.27, 2.83, 2.45, 3.18]\n",
    "GAPG = [2.17, 2.57, 2.0, 2.91, 2.57, 2.14, 2.77]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~xpt/85.embed\" height=\"525px\" width=\"100%\"></iframe>"
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      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
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     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "# Make traces for graph\n",
    "trace1 = go.Bar(x=teams, y=GFPG, type='bar',\n",
    "                    marker=dict(color='#0099ff'),\n",
    "                    name='Goals For<br>Per Game',\n",
    "                    xaxis='x2', yaxis='y2')\n",
    "trace2 = go.Bar(x=teams, y=GAPG, type='bar',\n",
    "                    marker=dict(color='#404040'),\n",
    "                    name='Goals Against<br>Per Game',\n",
    "                    xaxis='x2', yaxis='y2')\n",
    "\n",
    "# Add trace data to figure\n",
    "data = [trace1, trace2]\n",
    "\n",
    "# Plot!\n",
    "fig = go.Figure(data=data) #, layout=layout)\n",
    "py.iplot(fig, filename='tutorial/bar_plotly_grouped')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~xpt/88.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Make traces for graph\n",
    "trace1 = go.Bar(y=teams, x=GFPG, type='bar', orientation = 'h',\n",
    "                    marker=dict(color='#0099ff'),\n",
    "                    name='Goals For<br>Per Game',\n",
    "                    xaxis='x2', yaxis='y2')\n",
    "trace2 = go.Bar(y=teams, x=GAPG, type='bar', orientation = 'h',\n",
    "                    marker=dict(color='#404040'),\n",
    "                    name='Goals Against<br>Per Game',\n",
    "                    xaxis='x2', yaxis='y2')\n",
    "\n",
    "# Add trace data to figure\n",
    "data = [trace1, trace2]\n",
    "\n",
    "layout = go.Layout(\n",
    "    yaxis=dict(\n",
    "        autorange='reversed'\n",
    "    )#, \n",
    "#    margin=Margin(\n",
    "#            l=160,\n",
    "#            pad=5\n",
    "#        )\n",
    ")\n",
    "\n",
    "# Plot!\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "py.iplot(fig, filename='tutorial/bar_plotly_grouped_h')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "annotations = []\n",
    "\n",
    "# Adding labels\n",
    "for ydn, yd, xd in zip(y_nw, y_s, x_saving):\n",
    "    # labeling the scatter savings\n",
    "    annotations.append(dict(xref='x', yref='y', y=xd, x=ydn - 20000,\n",
    "                                  text='{:,}'.format(ydn) + 'M',\n",
    "                                  font=dict(family='Arial', size=12,\n",
    "                                            color='rgb(128, 0, 128)'),\n",
    "                                  showarrow=False,))\n",
    "\n",
    "\n",
    "layout['annotations'] = annotations\n",
    "\n",
    "# Creating two subplots\n",
    "fig = tools.make_subplots(rows=1, cols=2, specs=[[{}, {}]], shared_xaxes=True,\n",
    "                          shared_yaxes=False, vertical_spacing=0.001)\n",
    "\n",
    "fig.append_trace(trace0, 1, 1)\n",
    "fig.append_trace(trace1, 1, 2)\n",
    "\n",
    "fig['layout'].update(layout)\n",
    "plot_url = py.plot(fig, filename='oecd-networth-saving-bar-line')"
   ]
  }
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