from LatticeQCD2.analysis_tools.analyzers import main
import sys
analyzers = []
for fn in ['data/run%d/run.j'%d for d in range(1,5)]:
analyzer = main(['',fn]+sys.argv[2:])
analyzers.append(analyzer)
import matplotlib.pylab
from matplotlib.pylab import *
def savefig(*args,**kwds):
print 'savefig',args,kwds
return matplotlib.pylab.savefig(*args,**kwds)
def unzip(i,l):
return [x[i] for x in l]
##########################################
def save_task_duration_histogram():
for i in range(0,4):
a = analyzers[i]
hists = a.task_execution.task_duration_histogram
for b in hists:
name = 'tmp.iteration-%d-task_duration_histogram_%s'%(i+1,b)
ftxt = file(name+'.txt','w')
from LatticeQCD2.analysis_tools.analyzers import main
analyzer = main()
#############################################################################
# plots
import matplotlib.pylab
from matplotlib.pylab import *
import datetime
# convert from seconds to datetime objects
time_v = [datetime.datetime.fromtimestamp(x) for x in analyzer.time.points]
from matplotlib.ticker import NullFormatter, NullLocator, FormatStrFormatter, FuncFormatter, ScalarFormatter
from matplotlib.dates import WeekdayLocator, MONDAY, DateFormatter
def worker_history_plot(analyzer):
ax1=subplot(111)
ax1.xaxis.set_major_locator(DayLocator([1,15]))
ax1.xaxis.set_major_formatter(DateFormatter('%d/%m'))
ax1.xaxis.set_minor_locator(DayLocator())
setp(ax1.get_xticklabels(),fontsize=10)
points1, = ax1.plot_date(time_v, analyzer.n_invalid_workers,'or')
ax1.plot_date(time_v, analyzer.n_invalid_workers,'-r')
points2, = ax1.plot_date(time_v, analyzer.n_workers,'ob')
ax1.plot_date(time_v, analyzer.n_workers,'-b')
