add rugplot + changelog

Author: Kully

CHANGELOG.md

@@ -2,6 +2,10 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
+## Unreleased
+### Updated
+- `plotly.figure_factory.create_violin()` now has a `rugplot` parameter which determines whether or not a rugplot is draw beside each violin plot.
+
 ## [2.0.0]
 
 ### Changed

plotly/figure_factory/_violin.py

@@ -194,8 +194,8 @@ def violinplot(vals, fillcolor='#1f77b4', rugplot=True):
 
 
 def violin_no_colorscale(data, data_header, group_header, colors,
-                          use_colorscale, group_stats,
-                          height, width, title):
+                         use_colorscale, group_stats, rugplot,
+                         height, width, title):
     """
     Refer to FigureFactory.create_violin() for docstring.
 
@@ -223,7 +223,8 @@ def violin_no_colorscale(data, data_header, group_header, colors,
         if color_index >= len(colors):
             color_index = 0
         plot_data, plot_xrange = violinplot(vals,
-                                            fillcolor=colors[color_index])
+                                            fillcolor=colors[color_index],
+                                            rugplot=rugplot)
         layout = graph_objs.Layout()
 
         for item in plot_data:
@@ -250,7 +251,7 @@ def violin_no_colorscale(data, data_header, group_header, colors,
 
 
 def violin_colorscale(data, data_header, group_header, colors, use_colorscale,
-                      group_stats, height, width, title):
+                      group_stats, rugplot, height, width, title):
     """
     Refer to FigureFactory.create_violin() for docstring.
 
@@ -303,7 +304,8 @@ def violin_colorscale(data, data_header, group_header, colors, use_colorscale,
 
         plot_data, plot_xrange = violinplot(
             vals,
-            fillcolor='rgb{}'.format(intermed_color)
+            fillcolor='rgb{}'.format(intermed_color),
+            rugplot=rugplot
         )
         layout = graph_objs.Layout()
 
@@ -343,7 +345,7 @@ def violin_colorscale(data, data_header, group_header, colors, use_colorscale,
 
 
 def violin_dict(data, data_header, group_header, colors, use_colorscale,
-                 group_stats, height, width, title):
+                group_stats, rugplot, height, width, title):
     """
     Refer to FigureFactory.create_violin() for docstring.
 
@@ -375,7 +377,8 @@ def violin_dict(data, data_header, group_header, colors, use_colorscale,
 
     for k, gr in enumerate(group_name):
         vals = np.asarray(gb.get_group(gr)[data_header], np.float)
-        plot_data, plot_xrange = violinplot(vals, fillcolor=colors[gr])
+        plot_data, plot_xrange = violinplot(vals, fillcolor=colors[gr],
+                                            rugplot=rugplot)
         layout = graph_objs.Layout()
 
         for item in plot_data:
@@ -401,18 +404,18 @@ def violin_dict(data, data_header, group_header, colors, use_colorscale,
 
 
 def create_violin(data, data_header=None, group_header=None, colors=None,
-                  use_colorscale=False, group_stats=None, height=450,
-                  width=600, title='Violin and Rug Plot'):
+                  use_colorscale=False, group_stats=None, rugplot=True,
+                  height=450, width=600, title='Violin and Rug Plot'):
     """
     Returns figure for a violin plot
 
     :param (list|array) data: accepts either a list of numerical values,
         a list of dictionaries all with identical keys and at least one
         column of numeric values, or a pandas dataframe with at least one
-        column of numbers
+        column of numbers.
     :param (str) data_header: the header of the data column to be used
         from an inputted pandas dataframe. Not applicable if 'data' is
-        a list of numeric values
+        a list of numeric values.
     :param (str) group_header: applicable if grouping data by a variable.
         'group_header' must be set to the name of the grouping variable.
     :param (str|tuple|list|dict) colors: either a plotly scale name,
@@ -422,18 +425,19 @@ def create_violin(data, data_header=None, group_header=None, colors=None,
         tuple of the form (a, b, c) where a, b and c belong to [0, 1].
         If colors is a list, it must contain valid color types as its
         members.
-    :param (bool) use_colorscale: Only applicable if grouping by another
+    :param (bool) use_colorscale: only applicable if grouping by another
         variable. Will implement a colorscale based on the first 2 colors
         of param colors. This means colors must be a list with at least 2
         colors in it (Plotly colorscales are accepted since they map to a
-        list of two rgb colors)
+        list of two rgb colors).
     :param (dict) group_stats: a dictioanry where each key is a unique
         value from the group_header column in data. Each value must be a
         number and will be used to color the violin plots if a colorscale
-        is being used
-    :param (float) height: the height of the violin plot
-    :param (float) width: the width of the violin plot
-    :param (str) title: the title of the violin plot
+        is being used.
+    :param (bool) rugplot: determines if a rugplot is draw on violin plot.
+    :param (float) height: the height of the violin plot.
+    :param (float) width: the width of the violin plot.
+    :param (str) title: the title of the violin plot.
 
     Example 1: Single Violin Plot
     ```
@@ -558,7 +562,8 @@ def create_violin(data, data_header=None, group_header=None, colors=None,
             data = data[data_header].values.tolist()
 
         # call the plotting functions
-        plot_data, plot_xrange = violinplot(data, fillcolor=valid_colors[0])
+        plot_data, plot_xrange = violinplot(data, fillcolor=valid_colors[0],
+                                            rugplot=rugplot)
 
         layout = graph_objs.Layout(
             title=title,
@@ -596,13 +601,13 @@ def create_violin(data, data_header=None, group_header=None, colors=None,
                 # validate colors dict choice below
                 fig = violin_dict(
                     data, data_header, group_header, valid_colors,
-                    use_colorscale, group_stats, height, width, title
+                    use_colorscale, group_stats, rugplot, height, width, title
                 )
                 return fig
             else:
                 fig = violin_no_colorscale(
                     data, data_header, group_header, valid_colors,
-                    use_colorscale, group_stats, height, width, title
+                    use_colorscale, group_stats, rugplot, height, width, title
                 )
                 return fig
         else:
@@ -622,6 +627,6 @@ def create_violin(data, data_header=None, group_header=None, colors=None,
 
             fig = violin_colorscale(
                 data, data_header, group_header, valid_colors,
-                use_colorscale, group_stats, height, width, title
+                use_colorscale, group_stats, rugplot, height, width, title
             )
             return fig