made PR review changes

Author: yankev

plotly/tests/test_optional/test_figure_factory.py

@@ -150,14 +150,12 @@ def test_distplot_more_args(self):
         self.assertEqual(dp['data'][1], expected_dp_data_hist_2)
 
         def test_distplot_binsize_array(self):
-            hist1_x = [0.8, 1.2, 0.2, 0.6, 1.6,
-                       -0.9, -0.07, 1.95, 0.9, -0.2,
+            hist1_x = [0.8, 1.2, 0.2, 0.6, 1.6, -0.9, -0.07, 1.95, 0.9, -0.2,
                        -0.5, 0.3, 0.4, -0.37, 0.6]
-            hist2_x = [0.8, 1.5, 1.5, 0.6, 0.59,
-                       1.0, 0.8, 1.7, 0.5, 0.8,
-                       -0.3, 1.2, 0.56, 0.3, 2.2]
+            hist2_x = [0.8, 1.5, 1.5, 0.6, 0.59, 1.0, 0.8, 1.7, 0.5, 0.8, -0.3,
+                       1.2, 0.56, 0.3, 2.2]
 
-            hist_data = [hist1_x] + [hist2_x]
+            hist_data = [hist1_x, hist2_x]
             group_labels = ['2012', '2013']
 
             dp = tls.FigureFactory.create_distplot(hist_data, group_labels,

plotly/tools.py

@@ -2332,7 +2332,7 @@ def create_candlestick(open, high, low, close,
 
     @staticmethod
     def create_distplot(hist_data, group_labels,
-                        bin_size=[1.], curve_type='kde',
+                        bin_size=1., curve_type='kde',
                         colors=[], rug_text=[],
                         show_hist=True, show_curve=True,
                         show_rug=True):
@@ -2347,7 +2347,8 @@ def create_distplot(hist_data, group_labels,
         :param (list[list]) hist_data: Use list of lists to plot multiple data
             sets on the same plot.
         :param (list[str]) group_labels: Names for each data set.
-        :param (list[float]) bin_size: Size of histogram bins. Default = [1.]
+        :param (list[float]|float) bin_size: Size of histogram bins.
+            Default = 1.
         :param (str) curve_type: 'kde' or 'normal'. Default = 'kde'
         :param (bool) show_hist: Add histogram to distplot? Default = True
         :param (bool) show_curve: Add curve to distplot? Default = True