Added -show_detector_state which show the detector state in the total bitrate graph.

webrtc/rtc_tools/event_log_visualizer/plot_python.cc

Index: webrtc/rtc_tools/event_log_visualizer/plot_python.cc
diff --git a/webrtc/rtc_tools/event_log_visualizer/plot_python.cc b/webrtc/rtc_tools/event_log_visualizer/plot_python.cc
index d4ae043a1b5c66f0f8651159e942197832f938ad..c3b5918919dcfeb636364017c3eb9cfed9afa4fb 100644
--- a/webrtc/rtc_tools/event_log_visualizer/plot_python.cc
+++ b/webrtc/rtc_tools/event_log_visualizer/plot_python.cc
@@ -74,6 +74,8 @@ void PythonPlot::Draw() {
         printf("y%zu = [v for dup in y%zu for v in [dup, dup]]\n", i, i);
         printf(
             "plt.plot(x%zu[1:], y%zu[:-1], color=rgb_colors[%zu], "
+            "path_effects=[pe.Stroke(linewidth=2, foreground='black'), "
+            "pe.Normal()], "
             "label=\'%s\')\n",
             i, i, i, series_list_[i].label.c_str());
       } else if (series_list_[i].style == DOT_GRAPH) {
@@ -85,6 +87,36 @@ void PythonPlot::Draw() {
         printf("raise Exception(\"Unknown graph type\")\n");
       }
     }
+
+    // IntervalSeries

[terelius, 2017/07/11 21:35:52]

printf("interval_colors = ['#ff8e82','#5092fc','#c4ffc4']\n");
RTC_CHECK_LE(interval_list.size(), 3);

[philipel, 2017/07/14 11:54:57]

Done.

+    for (size_t i = 0; i < interval_list_.size(); i++) {
+      // List intervals
+      printf("\n# === IntervalSeries: %s ===\n",
+             interval_list_[i].label.c_str());
+      printf("ival%zu = [", i);
+      if (interval_list_[i].intervals.size() > 0) {
+        printf("(%G, %G)", interval_list_[i].intervals[0].begin,
+               interval_list_[i].intervals[0].end);
+      }
+      for (size_t j = 1; j < interval_list_[i].intervals.size(); j++) {
+        printf(", (%G, %G)", interval_list_[i].intervals[j].begin,
+               interval_list_[i].intervals[j].end);
+      }
+      printf("]\n");
+
+      printf("for i in range(0, %zu):\n", interval_list_[i].intervals.size());
+      if (interval_list_[i].orientation == IntervalSeries::kVertical) {
+        printf(

[terelius, 2017/07/11 21:35:52]

printf("plt.axhspan(ival%zu[i][0], ival%zu[i][1], 
  facecolor=interval_colors[%zu], alpha=0.3)\n", i, i, i);

[philipel, 2017/07/14 11:54:57]

Done.

+            "  plt.axhspan(ival%zu[i][0], ival%zu[i][1], facecolor='%s', "
+            "alpha=0.3)\n",
+            i, i, interval_list_[i].color.c_str());
+      } else {
+        printf(
+            "  plt.axvspan(ival%zu[i][0], ival%zu[i][1], facecolor='%s', "
+            "alpha=0.3)\n",
+            i, i, interval_list_[i].color.c_str());
+      }

[terelius, 2017/07/11 21:35:52]

Is there some label that helps the user understand the meaning of the different
colors? (You're the only one that knows your convention.)

Documentation and example here: https://matplotlib.org/users/legend_guide.html

[philipel, 2017/07/14 11:54:57]

Done.

+    }
   }
 
   printf("plt.xlim(%f, %f)\n", xaxis_min_, xaxis_max_);
@@ -103,6 +135,7 @@ PythonPlotCollection::~PythonPlotCollection() {}
 
 void PythonPlotCollection::Draw() {
   printf("import matplotlib.pyplot as plt\n");
+  printf("import matplotlib.patheffects as pe\n");
   printf("import colorsys\n");
   for (size_t i = 0; i < plots_.size(); i++) {
     printf("plt.figure(%zu)\n", i);