Merge 3a10f08 into 13d56d1

examples/user_guide/08-Tabular_Datasets.ipynb

@@ -480,7 +480,8 @@
     "(bars +\n",
     " bars.sort().relabel('sorted') +\n",
     " bars.sort(['y']).relabel('y-sorted') +\n",
-    " bars.sort(reverse=True).relabel('reverse sorted')).cols(2)"
+    " bars.sort(reverse=True).relabel('reverse sorted')\n",
+    ").opts(shared_axes=False).cols(2)"
    ]
   },
   {

examples/user_guide/Customizing_Plots.ipynb

@@ -32,6 +32,7 @@
     "    - [Titles](#Title): Using title formatting and providing custom titles\n",
     "    - [Background](#Background): Setting the plot background color\n",
     "    - [Font sizes](#Font-sizes): Controlling the font sizes on a plot\n",
+    "    - [Legends](#Legend-customization): Controlling the position and styling of the legend\n",
     "    - [Plot hooks](#Plot-hooks): Using custom hooks to modify plots\n",
     "* [**Axes**](#Customizing-axes): A set of axes provides scales describing the mapping between data and the space on screen\n",
     "    - [Types of axes](#Types-of-axes):\n",
@@ -158,7 +159,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Applying customizations to legends\n",
+    "### Legend customization\n",
     "\n",
     "When overlaying plots with different labels, a legend automatically appears to differentiate elements in the overlay. This legend can be customized in several ways:\n",
     "\n",
@@ -167,7 +168,7 @@
     "    - by adjusting the legend location *outside* of the figure using the `legend_position` and `legend_offset` parameters (which then positions the legend in *screen* space) (e.g. `legend_position='right', legend_offset=(0, 200)`). **Note**: the `legend_position` option applies to `bokeh` and `matplotlib` backends but the `legend_offset` only applies to `bokeh`.\n",
     "- by **style**\n",
     "    - by muting elements with `legend_muted=True` (applies only to the `bokeh` backend)\n",
-    "    - by putting the legend elements in a column layout with `legend_cols=True` (applies only to the `bokeh` backend)\n",
+    "    - by putting the legend elements in a column layout with `legend_cols=True` or (`legend_cols=int` in matplotlib)\n",
     "    \n",
     "These customizations are demonstrated by the examples that follow.\n",
     "\n",
@@ -229,7 +230,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "overlay.opts(legend_muted=True, legend_cols=True)"
+    "overlay.opts(legend_muted=True, legend_cols=2)"
    ]
   },
   {

holoviews/plotting/bokeh/selection.py

@@ -72,6 +72,7 @@ def _style_region_element(self, region_element, unselected_color):
             if 'alpha' in opt_name:
                 options[opt_name] = 1.0
 
+        print(el2_name)
         if el1_name != "Histogram":
             # Darken unselected color
             if unselected_color:
@@ -99,5 +100,5 @@ def _style_region_element(self, region_element, unselected_color):
 
         region = region_element.opts(el1_name, clone=True, **options)
         if el2_name and el2_name == 'Path':
-            region = region.opts(el2_name, backend='bokeh', color='black')
+            region = region.opts(el2_name, backend='bokeh', color='black', line_dash='dotted')
         return region

setup.py

@@ -95,7 +95,7 @@
     'nbsite >0.5.2',
     'sphinx',
     'sphinx_holoviz_theme',
-    'mpl_sample_data >=3.2.1',
+    'mpl_sample_data >=3.1.3',
     'awscli',
     'pscript',
     'graphviz'