Add Plotly demo to notebook.

Author: claresloggett

Demo_Visualisation.ipynb

@@ -653,6 +653,140 @@
     "aggregated_values = ds.reindex(kdims=[\"body_part\",\"product\"], vdims=[\"incident_count\", \"age\"]).aggregate([\"body_part\",\"product\"], function={'incident_count':'sum', 'age':'mean'})\n",
     "aggregated_values.to(hv.HeatMap, kdims=[\"body_part\",\"product\"], vdims=[\"incident_count\", \"age\"])"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plotly "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "subset = data.sample(200)\n",
+    "\n",
+    "trace = go.Scatter(x=subset['day'], y=subset['age'], \n",
+    "                   mode='markers',\n",
+    "                   marker={'size': 10, 'opacity': 0.7})\n",
+    "\n",
+    "iplot([trace])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "subset = data.sample(200)\n",
+    "\n",
+    "male = subset[ subset['sex']=='Male' ]\n",
+    "female = subset[ subset['sex']=='Female']\n",
+    "\n",
+    "trace1 = go.Scatter(x=male['day'], y=male['age'], text=male['narr'],\n",
+    "               mode='markers',\n",
+    "               marker={'size': 10, 'opacity': 0.7},\n",
+    "               name='Male')\n",
+    "trace2 = go.Scatter(x=female['day'], y=female['age'], text=female['narr'],\n",
+    "               mode='markers',\n",
+    "               marker={'size': 10, 'opacity': 0.7},\n",
+    "               name='Female')\n",
+    "\n",
+    "layout = go.Layout(xaxis={'title':'Day of month'},\n",
+    "                   yaxis={'title':'Patient age'},\n",
+    "                   hovermode='closest')\n",
+    "\n",
+    "fig = go.Figure(data=[trace1, trace2], layout=layout)\n",
+    "\n",
+    "iplot(fig)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "trace = go.Box(x = data['location'], y=data['age'])\n",
+    "\n",
+    "layout = {\n",
+    "    'yaxis': {'rangemode': 'tozero',\n",
+    "              'title': 'Patient age'}\n",
+    "}\n",
+    "\n",
+    "fig = {'data': [trace], 'layout': layout}\n",
+    "\n",
+    "iplot(fig)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "trace1 = go.Histogram(x=data[data['sex']=='Male']['age'], \n",
+    "                      opacity=0.7,\n",
+    "                      name='Male')\n",
+    "\n",
+    "trace2 = go.Histogram(x=data[data['sex']=='Female']['age'], \n",
+    "                      opacity=0.7,\n",
+    "                      name='Female')\n",
+    "\n",
+    "layout = go.Layout(barmode='overlay')\n",
+    "fig = go.Figure(data=[trace1, trace2], layout=layout)\n",
+    "\n",
+    "iplot(fig)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "table = data.pivot_table(index='body_part', columns='product', \n",
+    "                         values='incident_count', aggfunc=sum, fill_value=0)\n",
+    "\n",
+    "trace = go.Heatmap(z=table.as_matrix(), \n",
+    "                     x=table.columns, y=table.index,\n",
+    "                     colorscale='Greens',\n",
+    "                     reversescale=True)\n",
+    "\n",
+    "iplot([trace])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "subset = data.sample(300)\n",
+    "\n",
+    "trace = go.Scatter3d(x=subset['location'], y=subset['product'], z=subset['age'], \n",
+    "                     mode='markers',\n",
+    "                     marker={'opacity': 0.7},\n",
+    "                     text=subset['narr'])\n",
+    "\n",
+    "iplot([trace])"
+   ]
   }
  ],
  "metadata": {