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mowgli
evaluation-orchestrator
Commits
ce2843dc
Commit
ce2843dc
authored
Jun 24, 2019
by
Julia Abramenko
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preparing merge
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d83f8602
Pipeline
#50753
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in 10 minutes and 10 seconds
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plotting/timeseries/aggregateTimeseries_pd.py
plotting/timeseries/aggregateTimeseries_pd.py
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plotting/timeseries/aggregateTimeseries_pd.py
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ce2843dc
...
...
@@ -126,9 +126,6 @@ class TimeSeriesAggregator:
indices_throughput
=
[
x
for
x
in
agg_frame_throughput
.
columns
if
x
!=
"Mean"
]
for
x
in
indices_latency
:
agg_frame_latency
=
self
.
remove_outliers
(
agg_frame_latency
,
x
)
#for x in indices_throughput:
# agg_frame_throughput = self.remove_outliers(agg_frame_throughput, x)
# calculate mean for each row
agg_frame_latency
[
'Mean'
]
=
agg_frame_latency
.
mean
(
axis
=
1
,
skipna
=
True
)
agg_frame_throughput
[
'Mean'
]
=
agg_frame_throughput
.
mean
(
axis
=
1
,
skipna
=
True
)
...
...
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