def plot_series(series_type, jobsets, ax=None, time_scale=False):
'''
Plot one or several time series about provided jobsets on the given ax
series_type can be any value present in available_series.
'''
# Get current axe to plot
if ax is None:
ax = plt.gca()
if series_type not in available_series:
raise AttributeError(
"The gieven attribute should be one of the folowing:"
"{}".format(available_series))
if series_type == "waiting_time":
series = {}
for jobset_name in jobsets.keys():
jobset = jobsets[jobset_name]
# create a serie
series[jobset_name] = metrics.cumulative_waiting_time(jobset.df)
if time_scale:
series[jobset_name].index = pd.to_datetime(
jobset.df['submission_time'] + jobset.df['waiting_time'],
unit='s')
# plot series
for serie_name, serie in series.items():
serie.plot(ax=ax, label=serie_name, drawstyle="steps")
else:
raise RuntimeError('The serie \"{}\" is not implemeted yet')
# Manage legend
ax.legend()
ax.set_title(series_type)
ax.grid(True)
def plot_series(series_type, jobsets, ax=None, time_scale=False):
'''
Plot one or several time series about provided jobsets on the given ax
series_type can be any value present in available_series.
'''
# Get current axe to plot
if ax is None:
ax = plt.gca()
if series_type not in available_series:
raise AttributeError(
"The gieven attribute should be one of the folowing:"
"{}".format(available_series))
if series_type == "waiting_time":
series = {}
for jobset_name in jobsets.keys():
jobset = jobsets[jobset_name]
# create a serie
series[jobset_name] = metrics.cumulative_waiting_time(jobset.df)
if time_scale:
series[jobset_name].index = pd.to_datetime(
jobset.df['submission_time'] + jobset.df['waiting_time'],
unit='s')
# plot series
for serie_name, serie in series.items():
serie.plot(ax=ax, label=serie_name, drawstyle="steps")
else:
raise RuntimeError('The serie \"{}\" is not implemeted yet')
# Manage legend
ax.legend(loc='upper left')
ax.set_title(series_type)
ax.grid(True)
def test_cumulative_waiting_time(self):
from evalys.metrics import cumulative_waiting_time
js_begin = evalys.JobSet.from_csv("./tests/test_frag_begin.csv")
assert cumulative_waiting_time(
js_begin.df).max() == 62.5 + 125.0 + 187.5
def test_cumulative_waiting_time(self):
from evalys.metrics import cumulative_waiting_time
js_begin = evalys.JobSet.from_csv("./tests/test_frag_begin.csv")
assert cumulative_waiting_time(js_begin.df).max() == 62.5 + 125.0 + 187.5
