Fix graph.

xlap/analyse/latency.py

@@ -120,27 +120,27 @@ def _plot_controlflow_graph(df, hdb):
 # Taken from: http://composition.al/blog/2015/11/29/a-better-way-to-add-labels-to-bar-charts-with-matplotlib/
 def autolabel(rects, ax, labels):
     # Get y-axis height to calculate label position from.
-    (y_bottom, y_top) = ax.get_ylim()
-    y_height = y_top - y_bottom
+    (x_left, x_right) = ax.get_xlim()
+    x_width = x_right - x_left
 
     for i, rect in enumerate(rects):
-        height = rect.get_height()
+        width = rect.get_width()
         color = "black"
+        align = "left"
 
         # Fraction of axis height taken up by this rectangle
-        p_height = (height / y_height)
+        p_width = (width / x_width)
 
         # If we can fit the label above the column, do that;
         # otherwise, put it inside the column.
-        if p_height > 0.50: # arbitrary; 95% looked good to me.
-            label_position = 0.01
+        if p_width > 0.50: # arbitrary; 95% looked good to me.
+            label_position = width - (x_width) + 0.7
             color = "white"
+            align = "right"
         else:
-            label_position = height + (y_height * 0.01)
+            label_position = width + (x_width * 0.01)
 
-        ax.text(rect.get_x() + rect.get_width()/2., label_position,
-                labels[i],
-                ha='center', va='bottom', rotation=90, color=color)
+        ax.text(label_position, rect.get_y(), labels[i], ha=align, va='bottom', rotation=0, color=color)
 
 
 def _plot_critical_regions(df,hdb):
@@ -156,7 +156,7 @@ def _plot_critical_regions(df,hdb):
     correlations = list(map(lambda x: x['Correlation'], relevant))
     ticks = list(map(lambda x: "%s-%s" % (x['Start'][:-2], x['End'][:-2]), relevant))
     fig, ax = plt.subplots()
-    rects = ax.bar(x, correlations, align="center", tick_label="")
+    rects = ax.barh(x, correlations, align="center", tick_label="")
     autolabel(rects, ax, ticks)
 
     # TODO: find a more elegant solution for the label text