Cleanup : doc string and pep8

aneda · phobson · commit a3f236285ce8 · 2016-10-21T12:58:42.000-07:00
diff --git a/examples/statistics/boxplot_vs_violin_demo.py b/examples/statistics/boxplot_vs_violin_demo.py
@@ -1,13 +1,15 @@
-# Box plot - violin plot comparison
-#
-# Note that although violin plots are closely related to Tukey's (1977) box plots,
-# they add useful information such as the distribution of the sample data (density trace).
-#
-# By default, box plots show data points outside 1.5 x the inter-quartile range as outliers
-# above or below the whiskers wheras violin plots show the whole range of the data.
-#
-# Violin plots require matplotlib >= 1.4.
+"""Box plot - violin plot comparison.
 
+Note that although violin plots are closely related to Tukey's (1977) box
+plots, they add useful information such as the distribution of the sample
+data (density trace).
+
+By default, box plots show data points outside 1.5 x the inter-quartile range
+as outliers above or below the whiskers wheras violin plots show the whole
+range of the data.
+
+Violin plots require matplotlib >= 1.4.
+"""
 import matplotlib.pyplot as plt
 import numpy as np
 
@@ -29,11 +31,11 @@
 # adding horizontal grid lines
 for ax in axes:
     ax.yaxis.grid(True)
-    ax.set_xticks([y+1 for y in range(len(all_data))])
+    ax.set_xticks([y + 1 for y in range(len(all_data))])
     ax.set_xlabel('xlabel')
     ax.set_ylabel('ylabel')
 
 # add x-tick labels
-plt.setp(axes, xticks=[y+1 for y in range(len(all_data))],
+plt.setp(axes, xticks=[y + 1 for y in range(len(all_data))],
          xticklabels=['x1', 'x2', 'x3', 'x4'])
 plt.show()
