fix typos, add axes titles

ivanov · phobson · commit 8291567bb949 · 2016-10-21T12:58:47.000-07:00
diff --git a/examples/statistics/boxplot_color_demo.py b/examples/statistics/boxplot_color_demo.py
@@ -1,9 +1,9 @@
 """Box plots with custom fill colors.
 
-This plot illustrates how to create two types of boxplots
+This plot illustrates how to create two types of box plots
 (rectangular and notched), and how to fill them with custom
 colors by accessing the properties of the artists of the
-boxplots. Additionally, the ``labels`` parameter is used to
+box plots. Additionally, the ``labels`` parameter is used to
 provide x-tick labels for each sample.
 """
 
@@ -19,16 +19,18 @@
 
 # rectangular box plot
 bplot1 = axes[0].boxplot(all_data,
-                         vert=True,  # vertical box aligmnent
+                         vert=True,  # vertical box alignment
                          patch_artist=True,  # fill with color
                          labels=labels)  # will be used to label x-ticks
+axes[0].set_title('Rectangular box plot')
 
 # notch shape box plot
 bplot2 = axes[1].boxplot(all_data,
                          notch=True,  # notch shape
-                         vert=True,  # vertical box aligmnent
+                         vert=True,  # vertical box alignment
                          patch_artist=True,  # fill with color
                          labels=labels)  # will be used to label x-ticks
+axes[1].set_title('Notched box plot')
 
 # fill with colors
 colors = ['pink', 'lightblue', 'lightgreen']
@@ -39,7 +41,7 @@
 # adding horizontal grid lines
 for ax in axes:
     ax.yaxis.grid(True)
-    ax.set_xlabel('Three Separate Samples')
+    ax.set_xlabel('Three separate samples')
     ax.set_ylabel('Observed values')
 
 plt.show()
diff --git a/examples/statistics/boxplot_vs_violin_demo.py b/examples/statistics/boxplot_vs_violin_demo.py
@@ -5,7 +5,7 @@
 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
+as outliers above or below the whiskers whereas violin plots show the whole
 range of the data.
 
 Violin plots require matplotlib >= 1.4.
@@ -22,18 +22,18 @@
 axes[0].violinplot(all_data,
                    showmeans=False,
                    showmedians=True)
-axes[0].set_title('violin plot')
+axes[0].set_title('Violin plot')
 
 # plot box plot
 axes[1].boxplot(all_data)
-axes[1].set_title('box plot')
+axes[1].set_title('Box plot')
 
 # 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_xlabel('xlabel')
-    ax.set_ylabel('ylabel')
+    ax.set_xlabel('Four separate samples')
+    ax.set_ylabel('Observed values')
 
 # add x-tick labels
 plt.setp(axes, xticks=[y + 1 for y in range(len(all_data))],
