# Prepare scale
#
tmpscale = np.reshape(scale[-useableSize:], newshape)
strScale = prepareScale( tmpscale, options )
if options.verbose:
print ("newshape %d = %r" % (len(newshape), newshape) )
print ("data2Dim %d = %r" % (len(data2Dim), data2Dim) )
print ("scale %d = %r" % (len(strScale), strScale) )
if options.verbose:
print "Num events: %d" % len(scale)
print "Creating graph."
avg_usage = prepareGraph( options )
avg_usage.title = options.title
avg_usage.x_labels = strScale
for key,val in avgData.items():
avg_usage.add(key, val )
# print "%s - %6.2f ms - prepare graph" % (datetime.datetime.now(), (time.time() - prevTime) * 1000)
# prevTime = time.time()
renderGraph( avg_usage, options )
# print "%s - %6.2f ms - render graph" % (datetime.datetime.now(), (time.time() - prevTime) * 1000)
# print "%s - %6.2f ms - Total time" % (datetime.datetime.now(), (time.time() - startTime) * 1000)
if options.verbose:
print "Done."
#
# Prepare scale
#
tmpscale = np.reshape(scale[-useableSize:], newshape)
strScale = prepareScale( tmpscale, options )
# print ("scale %d = %r" % (len(strScale), strScale) )
if VERBOSE:
print ("newshape %d = %r" % (len(newshape), newshape) )
print ("avg %d = %r" % (len(avg_working), avg_working) )
print ("scale %d = %r" % (len(strScale), strScale) )
graph = prepareGraph( options )
graph.title = options.title
graph.x_labels = strScale
if options.offline:
graph.add('Offline', avg_unknown )
if options.paused:
graph.add('Paused', avg_paused )
if options.working:
graph.add('Working', avg_working )
if options.idle:
graph.add('Idle', avg_idle )
# print "%s - %6.2f ms - prepare graph" % (datetime.datetime.now(), (time.time()-prevTime) * 1000)
# prevTime = time.time()
# q2= higherQuartile(data)
# std= np.std(data, axis=1)
#
# Prepare scale
#
tmpscale = np.reshape(scale[-useableSize:], newshape)
strScale = prepareScale(tmpscale, options)
# print ("scale %d = %r" % (len(strScale), strScale) )
if VERBOSE:
print("newshape %d = %r" % (len(newshape), newshape))
print("avg %d = %r" % (len(avg_working), avg_working))
print("scale %d = %r" % (len(strScale), strScale))
graph = prepareGraph(options)
graph.title = options.title
graph.x_labels = strScale
if options.offline:
graph.add('Offline', avg_unknown)
if options.paused:
graph.add('Paused', avg_paused)
if options.working:
graph.add('Working', avg_working)
if options.idle:
graph.add('Idle', avg_idle)
# print "%s - %6.2f ms - prepare graph" % (datetime.datetime.now(), (time.time()-prevTime) * 1000)
# prevTime = time.time()
