...

xlap/analyse/e2e.py

@@ -5,6 +5,13 @@ from scipy import stats
 import matplotlib.pyplot as plt
 import xlap.analyse.latency as latency
 
+plt.rcParams['ps.useafm'] = True
+plt.rcParams['pdf.use14corefonts'] = True
+plt.rcParams['text.usetex'] = False
+plt.rcParams['font.family'] = 'sans-serif'
+#plt.rcParams['font.sans-serif'] = 'Latin Modern Sans'
+#plt.rcParams['font.monospace']  = 'FreeMono'
+
 # 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.
@@ -26,7 +33,7 @@ def autolabel(rects, ax, labels):
             color = "white"
             align = "right"
         else:
-            label_position = width + (x_width * 0.01)
+            label_position = width + (x_width * 0.00)
 
         mono = {'family': 'monospace'}
         ax.text(label_position, rect.get_y(), labels[i], ha=align, va='bottom', rotation=0, color=color, fontdict=mono)
@@ -41,7 +48,8 @@ def _plot_regions(dataset):
     correlations = list(map(lambda x: x['Slowdown'], relevant))
     ticks = list(map(lambda x: "<%s,%s>" % (x['Start'][:-2], x['End'][:-2]), relevant))
     fig, ax = plt.subplots()
-    rects = ax.barh(x, correlations, align="center", tick_label="", color='#3babaf')
+    #rects = ax.barh(x, correlations, align="center", tick_label="", color='#3babaf')
+    rects = ax.barh(x, correlations, align="center", tick_label="")
     autolabel(rects, ax, ticks)
 
     plt.xlabel('Normalized slowdown')

xlap/analyse/latency.py

@@ -5,9 +5,15 @@ import numpy as np
 import sys
 import graphviz
 
-
 class LatencyAnalysis():
     def __init__(self, cfg=None, hdb=None):
+        plt.rcParams['ps.useafm'] = True
+        plt.rcParams['pdf.use14corefonts'] = True
+        plt.rcParams['text.usetex'] = False
+        plt.rcParams['font.family'] = 'sans-serif'
+        #plt.rcParams['font.sans-serif'] = 'Latin Modern Sans'
+        #plt.rcParams['font.monospace']  = 'FreeMono'
+
         self.cfg = cfg
 
         correlations = []
@@ -152,13 +158,15 @@ def autolabel(rects, ax, labels):
         # If we can fit the label above the column, do that;
         # otherwise, put it inside the column.
         if p_width > 0.50:  # arbitrary; 95% looked good to me.
-            label_position = width - (x_width) + 0.7
+            #label_position = width - (x_width) + 0.7
+            label_position = width - (x_width * 0.01)
             color = "white"
             align = "right"
         else:
-            label_position = width + (x_width * 0.01)
+            label_position = width + (x_width * 0.002)
 
-        ax.text(label_position, rect.get_y(), labels[i], ha=align, va='bottom', rotation=0, color=color)
+        mono = {'family': 'monospace'}
+        ax.text(label_position, rect.get_y(), labels[i], ha=align, va='bottom', rotation=0, color=color, fontdict=mono)
 
 
 def _plot_critical_regions(hdb):
@@ -169,11 +177,12 @@ def _plot_critical_regions(hdb):
     x = np.arange(len(relevant))
 
     correlations = list(map(lambda x: x['Correlation'], relevant))
-    ticks = list(map(lambda x: "%s-%s" % (x['Start'][:-2], x['End'][:-2]), relevant))
+    ticks = list(map(lambda x: "<%s,%s>" % (x['Start'][:-2], x['End'][:-2]), relevant))
     fig, ax = plt.subplots()
     rects = ax.barh(x, correlations, align="center", tick_label="")
     autolabel(rects, ax, ticks)
 
+    plt.xlabel('Latency criticality')
     plt.tight_layout()
     plt.savefig("latency-criticality.pdf")
     plt.close()