Added examples for grouped histograms

holoviz · Jul 14, 2017 · fadef91 · fadef91
1 parent 1feee48
commit fadef91
Show file tree

Hide file tree

Showing 2 changed files with 132 additions and 0 deletions.
diff --git a/examples/gallery/demos/bokeh/autompg_histogram.ipynb b/examples/gallery/demos/bokeh/autompg_histogram.ipynb
@@ -0,0 +1,66 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Most examples work across multiple plotting backends, this example is also available for:\n",
+    "\n",
+    "* [Matplotlib - autompg_histogram](../matplotlib/autompg_histogram.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import holoviews as hv\n",
+    "hv.extension('bokeh','matplotlib')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Declaring data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from bokeh.sampledata.autompg import autompg\n",
+    "\n",
+    "autompg_ds = hv.Dataset(autompg)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%opts Histogram (alpha=0.9) [width=600]\n",
+    "autompg_ds.hist(dimension='mpg', groupby='cyl', adjoin=False)"
+   ]
+  }
+ ],
+ "metadata": {
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples/gallery/demos/matplotlib/autompg_histogram.ipynb b/examples/gallery/demos/matplotlib/autompg_histogram.ipynb
@@ -0,0 +1,66 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Most examples work across multiple plotting backends, this example is also available for:\n",
+    "\n",
+    "* [Bokeh - autompg_histogram](../bokeh/autompg_histogram.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import holoviews as hv\n",
+    "hv.extension('matplotlib')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Declaring data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from bokeh.sampledata.autompg import autompg\n",
+    "\n",
+    "autompg_ds = hv.Dataset(autompg)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%opts Histogram [fig_size=200 aspect=2]\n",
+    "autompg_ds.hist(dimension='mpg', groupby='cyl', adjoin=False)"
+   ]
+  }
+ ],
+ "metadata": {
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}