Updated Bars matplotlib notebook examples

examples/gallery/demos/matplotlib/bars_economic.ipynb

@@ -17,6 +17,8 @@
    "source": [
     "import pandas as pd\n",
     "import holoviews as hv\n",
+    "from holoviews import opts\n",
+    "\n",
     "hv.extension('matplotlib')"
    ]
   },
@@ -53,9 +55,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%%opts Bars [category_index=2 stack_index=1 group_index=0 xrotation=90 color_by=['stack']] (color=Cycle('tab20'))\n",
-    "%%opts Bars [legend_position='right' legend_cols=2]\n",
-    "macro.to.bars([ 'Year', 'Country'], 'Trade', [])"
+    "macro.to.bars(['Year', 'Country'], 'Trade', []).opts(\n",
+    "    opts.Bars(aspect=3, color=hv.Cycle('tab20'), legend_position='right', fig_size=300, legend_cols=2, stacked=True, xrotation=90))"
    ]
   }
  ],

examples/reference/elements/matplotlib/Bars.ipynb

@@ -64,7 +64,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "``Bars`` support stacking just like the ``Area`` element as well as grouping by a second key dimension. To activate grouping and stacking set the ``group_index`` or ``stack_index`` to the dimension name or dimension index:"
+    "``Bars`` support stacking just like the ``Area`` element as well as grouping by a second key dimension. When declaring a second key dimension ``Bars`` will break down a secondary category (i.e.``kdims`` as a separate group, to activate stacking set the ``stacked=True`` option, "
    ]
   },
   {
@@ -80,10 +80,10 @@
     "bars = hv.Bars([k+(np.random.rand()*100.,) for k in keys],\n",
     "               ['Index', 'Group'], 'Count')\n",
     "\n",
-    "grouped = bars.relabel('Grouped').opts(category_index=5, color_by=['stack'], stack_index=1)\n",
-    "stacked = bars.relabel('Stacked').opts(stack_index=5)\n",
+    "grouped = bars.relabel('Grouped')\n",
+    "stacked = bars.relabel('Stacked')\n",
     "\n",
-    "grouped + stacked"
+    "grouped + stacked.opts(stacked=True)"
    ]
   },
   {