From 193742c324fab947d166c0b7df3d20d5e8b8da47 Mon Sep 17 00:00:00 2001
From: Peter Wu <peter@lekensteyn.nl>
Date: Wed, 18 Jun 2014 11:15:36 +0200
Subject: rare/interrupts-graph.py: fix X axis numbers

Shift X axis as time progresses.
---
 rare/interrupts-graph.py | 21 ++++++++++++++-------
 1 file changed, 14 insertions(+), 7 deletions(-)

diff --git a/rare/interrupts-graph.py b/rare/interrupts-graph.py
index 6e4ee23..34d28ee 100755
--- a/rare/interrupts-graph.py
+++ b/rare/interrupts-graph.py
@@ -14,8 +14,8 @@ import numpy as np
 from scipy.interpolate import spline, interp1d
 import threading
 
-# Maximimum number of time units to keep
-XSCALE = 60
+# Number of seconds to show in the graph
+XRANGE = 60
 # Delay between updating the graph
 INTERVAL = .5
 # Log scale base or 0 to disable logarithmic y scaling
@@ -88,11 +88,10 @@ def get_diffs():
         prev[name] = n
 
 plt.ylabel(u'\u0394interrupts')
-plt.xlabel(u'\u0394time (sec)')
+plt.xlabel(u'time (sec)')
 plt.grid('on')
 #plt.ion() # Not necessary if show() does not block.
 plt.show(block=False)
-plt.xlim(0, XSCALE)
 if LOG_SCALE_BASE > 0:
     plt.yscale('log', nonposy='clip', basey=LOG_SCALE_BASE)
 
@@ -141,9 +140,10 @@ plt.connect('pick_event', on_pick)
 
 names = [name for name, _ in get_diffs()]
 yvalues = {}
-# Create yvalues, save them and generate plot args
+x_count = int(XRANGE / INTERVAL)
+# Initialize y values for each name
 for name in names:
-    ydata = deque([0] * XSCALE, XSCALE)
+    ydata = deque([0] * x_count, x_count)
     yvalues[name] = ydata
 lines = {}
 
@@ -155,11 +155,15 @@ def update_title():
 
 # Lock to avoid updating the UI while the data is being refreshed
 data_lock = threading.Lock()
+# Since yvalues gets filled on the tail, substract from start time
+start_time = -XRANGE
 @synchronized(data_lock)
 def refresh_data():
+    global start_time
     # Update data
     for name, n in get_diffs():
         yvalues[name].append(n)
+    start_time += INTERVAL
 
 smooth = {}
 @synchronized(data_lock)
@@ -171,7 +175,7 @@ def update():
         ys = yvalues[name]
         # Consider only strictly positive values
         ydata = [y for y in ys if y > 0]
-        xdata = [i for i, y in enumerate(ys) if y > 0]
+        xdata = [start_time + i * INTERVAL for i, y in enumerate(ys) if y > 0]
 
         if ydata and is_line_ok(name, ys):
             # Data is significant, show it
@@ -222,6 +226,9 @@ def update():
     #    plt.ylim(ymin, ymin + largest)
     plt.ylim(0, largest)
 
+    min_x = max(start_time, 0)
+    plt.xlim(min_x, min_x + XRANGE)
+
 def do_draw():
     """Actually draw the graph, updating the legend if necessary."""
     global update_legend
-- 
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