def plot(self, normalize=False, with_details=False, time_scale=False):
"""
Plot workload general informations.
:args with_details:
if True show the job submission, start and finish time
(Warning: don't use this on large traces.
"""
nrows = 2
if with_details:
nrows = nrows + 1
_, axe = plt.subplots(nrows=nrows, sharex=True)
visu.plot_load(self.utilisation,
self.MaxProcs,
time_scale=time_scale,
UnixStartTime=self.UnixStartTime,
TimeZoneString=self.TimeZoneString,
load_label="utilisation",
ax=axe[0],
normalize=normalize)
visu.plot_load(self.queue,
self.MaxProcs,
time_scale=time_scale,
UnixStartTime=self.UnixStartTime,
TimeZoneString=self.TimeZoneString,
load_label="queue",
ax=axe[1],
normalize=normalize)
if with_details:
visu.plot_job_details(self.df,
self.MaxProcs,
time_scale=time_scale,
time_offset=self.UnixStartTime)
def plot(self,
normalize=False,
with_details=False,
time_scale=False,
title=None):
nrows = 2
if with_details:
nrows = nrows + 2
fig, axe = plt.subplots(nrows=nrows, sharex=True)
if title:
fig.suptitle(title, fontsize=16)
visu.plot_load(self.utilisation,
self.MaxProcs,
load_label="utilisation",
ax=axe[0],
normalize=normalize,
time_scale=time_scale)
visu.plot_load(self.queue,
self.MaxProcs,
load_label="queue",
ax=axe[1],
normalize=normalize,
time_scale=time_scale)
if with_details:
visu.plot_job_details(self.df,
self.MaxProcs,
ax=axe[2],
time_scale=time_scale)
visu.plot_gantt(self, ax=axe[3], time_scale=time_scale)
def plot(self, normalize=False, with_details=False):
nrows = 2
if with_details:
nrows = nrows + 2
_, axe = plt.subplots(nrows=nrows, sharex=True)
visu.plot_load(self.utilisation, self.MaxProcs,
load_label="utilisation", ax=axe[0],
normalize=normalize)
visu.plot_load(self.queue, self.MaxProcs,
load_label="queue", ax=axe[1], normalize=normalize)
if with_details:
visu.plot_job_details(self.df, self.MaxProcs, ax=axe[2])
self.gantt(ax=axe[3])
def plot(self, normalize=False, with_details=False):
"""
Plot workload general informations.
:args with_details:
if True show the job submission, start and finish time
(Warning: don't use this on large traces.
"""
nrows = 2
if with_details:
nrows = nrows + 1
_, axe = plt.subplots(nrows=nrows, sharex=True)
visu.plot_load(self.utilisation, self.MaxProcs, time_scale=True,
UnixStartTime=self.UnixStartTime,
TimeZoneString=self.TimeZoneString,
load_label="utilisation", ax=axe[0],
normalize=normalize)
visu.plot_load(self.queue, self.MaxProcs, time_scale=True,
UnixStartTime=self.UnixStartTime,
TimeZoneString=self.TimeZoneString,
load_label="queue", ax=axe[1], normalize=normalize)
if with_details:
visu.plot_job_details(self.df, self.MaxProcs, time_scale=True,
time_offset=self.UnixStartTime)
fig, axes = plt.subplots(nrows=5, ncols=1, sharex=True)
w = workload.Workload.from_csv(arguments["<swf_file1>"])
w0 = workload.Workload.from_csv(arguments["<swf_file2>"])
visu.plot_series_comparison(
{
arguments["<swf_file1>"]: w.utilisation.load,
arguments["<swf_file2>"]: w0.utilisation.load
}, axes[0], "Utilisation comparison")
visu.plot_series_comparison(
{
arguments["<swf_file1>"]: w.queue.load,
arguments["<swf_file2>"]: w0.queue.load
}, axes[1], "Queue comparison")
visu.plot_job_details(w.df, 100, axes[2], arguments["<swf_file1>"])
visu.plot_job_details(w0.df, 100, axes[3], arguments["<swf_file2>"])
visu.plot_series("waiting_time", {
arguments["<swf_file1>"]: w,
arguments["<swf_file2>"]: w0
}, axes[4])
plt.tight_layout(True)
plt.legend()
plt.show()
from evalys import workload
from docopt import docopt
#retrieving arguments
arguments = docopt(__doc__, version='1.0.0rc2')
fig, axes = plt.subplots(nrows=5, ncols=1, sharex=True)
w = workload.Workload.from_csv(arguments["<swf_file1>"])
w0 = workload.Workload.from_csv(arguments["<swf_file2>"])
visu.plot_series_comparison({arguments["<swf_file1>"]: w.utilisation,
arguments["<swf_file2>"]: w0.utilisation},
axes[0],
"Utilisation comparison")
visu.plot_series_comparison({arguments["<swf_file1>"]: w.queue,
arguments["<swf_file2>"]: w0.queue},
axes[1],
"Queue comparison")
visu.plot_job_details(w.df, 100, axes[2], arguments["<swf_file1>"])
visu.plot_job_details(w0.df, 100, axes[3], arguments["<swf_file2>"])
visu.plot_series("waiting_time", {arguments["<swf_file1>"]: w, arguments["<swf_file2>"]: w0}, axes[4])
plt.tight_layout(True)
plt.legend()
plt.show()
