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 main():
# parse command line
parser = argparse.ArgumentParser(description="Display the load of each processor.")
parser.add_argument("jobsCSV", help="The name of the CSV file which contains jobs information")
parser.add_argument(
"--output",
"-o",
help="The output file (format depending on the given extension, pdf" "is RECOMMENDED). For example: figure.pdf",
)
args = parser.parse_args()
j = JobSet.from_csv(args.jobsCSV) # create data structure from input args
fig = plt.figure() # create figure
ax = fig.gca() # extract axes
plot_load(j, ax, str(args.jobsCSV)) # build visualization
# show figure
if args.output is not None:
plt.savefig(args.output)
else:
plt.show()
def main():
# parse command line
parser = argparse.ArgumentParser(
description='Display the load of each processor.')
parser.add_argument(
'jobsCSV',
help='The name of the CSV file which contains jobs information')
parser.add_argument(
'--output',
'-o',
help='The output file (format depending on the given extension, pdf'
'is RECOMMENDED). For example: figure.pdf')
args = parser.parse_args()
j = JobSet.from_csv(args.jobsCSV) # create data structure from input args
fig = plt.figure() # create figure
ax = fig.gca() # extract axes
plot_load(j, ax, str(args.jobsCSV)) # build visualization
# show figure
if args.output is not None:
plt.savefig(args.output)
else:
plt.show()
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)
