import re
import logging
+from collections import OrderedDict
+from copy import deepcopy
+from math import log
+
import hdrh.histogram
import hdrh.codec
import pandas as pd
import plotly.offline as ploff
import plotly.graph_objs as plgo
-from collections import OrderedDict
-from copy import deepcopy
-from math import log
-
from plotly.exceptions import PlotlyError
from pal_utils import mean, stdev
hovertext.append(
f"<b>{desc[graph]}</b><br>"
f"Direction: {(u'W-E', u'E-W')[idx % 2]}<br>"
- f"Percentile: {previous_x:.5f}-{percentile:.5f}%<br>"
+ f"Percentile: "
+ f"{previous_x:.5f}-{percentile:.5f}%<br>"
f"Latency: {item.value_iterated_to}uSec"
)
xaxis.append(percentile)
hovertext.append(
f"<b>{desc[graph]}</b><br>"
f"Direction: {(u'W-E', u'E-W')[idx % 2]}<br>"
- f"Percentile: {previous_x:.5f}-{percentile:.5f}%<br>"
+ f"Percentile: "
+ f"{previous_x:.5f}-{percentile:.5f}%<br>"
f"Latency: {item.value_iterated_to}uSec"
)
previous_x = percentile
decoded = hdrh.histogram.HdrHistogram.decode(
test[u"latency"][graph][direction][u"hdrh"]
)
- except hdrh.codec.HdrLengthException:
+ except (hdrh.codec.HdrLengthException, TypeError):
logging.warning(
f"No data for direction {(u'W-E', u'E-W')[idx % 2]}"
)
# Add plot traces
traces = list()
- for idx in range(len(data_x)):
+ for idx, x_item in enumerate(data_x):
traces.append(
plgo.Box(
- x=[data_x[idx], ] * len(data_y[idx]),
+ x=[x_item, ] * len(data_y[idx]),
y=data_y[idx],
name=data_names[idx],
hoverinfo=u"y+name"
REGEX_NIC,
u"",
test_name.replace(u'-ndrpdr', u'').
- replace(u'2n1l-', u'')
+ replace(u'2n1l-', u'')
)
vals[name] = OrderedDict()
y_val_1 = test_vals[u"1"][0] / 1e6