document title as an object with position attributes

Author: michaelbabyn

_posts/plotly_js/layout/labels/2015-04-09-styling-names.html

@@ -1,6 +1,6 @@
 ---
 name: Styling Names
-plot_url: https://codepen.io/plotly/embed/9c5d7e597190632c7a29dcaddaf69236/?height=547&theme-id=15263&default-tab=result
+plot_url: https://codepen.io/plotly/embed/LMxqEM/?height=547&theme-id=15263&default-tab=result
 language: plotly_js
 suite: labels
 order: 0
@@ -21,22 +21,35 @@
 };
 var data = [trace1, trace2];
 var layout = {
-  title: 'Plot Title',
-  xaxis: {
-    title: 'x Axis',
-    titlefont: {
+  title: {
+    text:'Plot Title',
+    font: {
       family: 'Courier New, monospace',
-      size: 18,
-      color: '#7f7f7f'
-    }
+      size: 24
+    },
+    xref: 'paper',
+    x: 0.05,
+  },
+  xaxis: {
+    title: {
+      text: 'x Axis',
+      font: {
+        family: 'Courier New, monospace',
+        size: 18,
+        color: '#7f7f7f'
+      }
+    },
   },
   yaxis: {
-    title: 'y Axis',
-    titlefont: {
-      family: 'Courier New, monospace',
-      size: 18,
-      color: '#7f7f7f'
+    title: {
+      text: 'y Axis',
+      font: {
+        family: 'Courier New, monospace',
+        size: 18,
+        color: '#7f7f7f'
+      }
     }
   }
 };
+
 Plotly.newPlot('myDiv', data, layout);

_posts/python/layout/axes/axes.ipynb

@@ -341,6 +341,79 @@
     "py.iplot(fig, filename='axes-range-manual')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Multi-Category Axes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://buildly.plotly.systems/~michael/34.embed\" height=\"525px\" width=\"100%\"></iframe>"
+      ],
+      "text/plain": [
+       "<plotly.tools.PlotlyDisplay object>"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import plotly.plotly as py\n",
+    "import plotly.graph_objs as go\n",
+    "\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "\n",
+    "df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/tips.csv')\n",
+    "pivot_df = df.pivot_table(aggfunc=np.mean, columns=['sex', 'day'], values=['total_bill']).reset_index()\n",
+    "pivot_df.columns = ['aggregated_value', 'sex', 'day', 'average_value']\n",
+    "\n",
+    "\n",
+    "trace1 = dict(\n",
+    "    x=[\n",
+    "        pivot_df[pivot_df.sex=='Female'].sex,\n",
+    "        pivot_df[pivot_df.sex=='Female'].day\n",
+    "    ],\n",
+    "    y=pivot_df[pivot_df.sex=='Female'].average_value,\n",
+    "    type='bar'\n",
+    ")\n",
+    "\n",
+    "trace2 = dict(\n",
+    "    x=[\n",
+    "        pivot_df[pivot_df.sex=='Male'].sex,\n",
+    "        pivot_df[pivot_df.sex=='Male'].day\n",
+    "    ],\n",
+    "    y=pivot_df[pivot_df.sex=='Male'].average_value,\n",
+    "    type='bar'\n",
+    ")\n",
+    "\n",
+    "data = [trace1, trace2]\n",
+    "layout = dict(\n",
+    "  showlegend=False,\n",
+    "  xaxis=dict(\n",
+    "    tickson=\"boundaries\",\n",
+    "    ticklen=15,\n",
+    "    showdividers=True,\n",
+    "    dividercolor='grey',\n",
+    "    dividerwidth=4\n",
+    "  )\n",
+    ")\n",
+    "\n",
+    "fig = dict(data=data, layout=layout)\n",
+    "py.iplot(fig, filename = 'multi-category-axes', validate=False)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -963,23 +1036,23 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.15rc1"
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 2
 }