matplotlib
diff --git a/‎examples/statistics/barchart_demo.py
Copy file name to clipboardExpand all lines: examples/statistics/barchart_demo.py
+16-25Lines changed: 16 additions & 25 deletions b/‎examples/statistics/barchart_demo.py
Copy file name to clipboardExpand all lines: examples/statistics/barchart_demo.py
+16-25Lines changed: 16 additions & 25 deletions
@@ -29,36 +29,31 @@
 # GLOBAL CONSTANTS
 test_names = ['Pacer Test', 'Flexed Arm\n Hang', 'Mile Run', 'Agility',
               'Push Ups']
-test_meta = dict(zip(test_names, ['laps', 'sec', 'min:sec', 'sec', '']))
+test_units = dict(zip(test_names, ['laps', 'sec', 'min:sec', 'sec', '']))
 
 
 def attach_ordinal(num):
     """Convert an integer to an ordinal string, e.g. 2 -> '2nd'."""
     suffixes = {str(i): v
                 for i, v in enumerate(['th', 'st', 'nd', 'rd', 'th',
                                        'th', 'th', 'th', 'th', 'th'])}
-
     v = str(num)
     # special case early teens
     if v in {'11', '12', '13'}:
         return v + 'th'
     return v + suffixes[v[-1]]
 
 
-def format_score(scr, test):
+def format_score(score, test):
     """
-    Build up the score labels for the right Y-axis by first
-    appending a carriage return to each string and then tacking on
-    the appropriate meta information (i.e., 'laps' vs. 'seconds'). We
-    want the labels centered on the ticks, so if there is no meta
-    info (like for pushups) then don't add the carriage return to
-    the string
+    Create score labels for the right y-axis as the test name followed by the
+    measurement unit (if any), split over two lines.
     """
-    md = test_meta[test]
-    if md:
-        return '{0}\n{1}'.format(scr, md)
-    else:
-        return scr
+    unit = test_units[test]
+    if unit:
+        return f'{score}\n{unit}'
+    else:  # If no unit, don't include a newline, so that label stays centered.
+        return score
 
 
 def format_ycursor(y):
@@ -70,8 +65,7 @@ def format_ycursor(y):
 
 
 def plot_student_results(student, scores, cohort_size):
-    #  create the figure
-    fig, ax1 = plt.subplots(figsize=(9, 7))
+    fig, ax1 = plt.subplots(figsize=(9, 7))  # Create the figure
     fig.subplots_adjust(left=0.115, right=0.88)
     fig.canvas.set_window_title('Eldorado K-8 Fitness Chart')
 
@@ -95,16 +89,13 @@ def plot_student_results(student, scores, cohort_size):
     # Set the right-hand Y-axis ticks and labels
     ax2 = ax1.twinx()
 
-    score_labels = [format_score(scores[k].score, k) for k in test_names]
-
-    # set the tick locations
+    # Set the tick locations
     ax2.set_yticks(pos)
-    # make sure that the limits are set equally on both yaxis so the
-    # ticks line up
+    # Set equal limits on both yaxis so that the ticks line up
     ax2.set_ylim(ax1.get_ylim())
 
-    # set the tick labels
-    ax2.set_yticklabels(score_labels)
+    # Set the tick labels
+    ax2.set_yticklabels([format_score(scores[k].score, k) for k in test_names])
 
     ax2.set_ylabel('Test Scores')
 
@@ -146,9 +137,9 @@ def plot_student_results(student, scores, cohort_size):
             color=clr, weight='bold', clip_on=True)
         rect_labels.append(label)
 
-    # make the interactive mouse over give the bar title
+    # Make the interactive mouse over give the bar title
     ax2.fmt_ydata = format_ycursor
-    # return all of the artists created
+    # Return all of the artists created
     return {'fig': fig,
             'ax': ax1,
             'ax_right': ax2,