Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summary
notebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics
notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "30" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 255 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 248 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2459810 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459809 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.192192 | 0.206368 | 0.104784 | -0.332963 | 29.926851 | 27.930843 | 13.394893 | 3.997371 | 0.8094 | 0.5587 | 0.5623 | 3.319578 | 3.182146 |
2459808 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.478867 | -0.032222 | 1.479937 | -0.869025 | -0.124868 | -0.791831 | 12.091700 | 0.239877 | 0.7917 | 0.7359 | 0.4658 | 4.715026 | 5.226815 |
2459807 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.016387 | -0.374100 | -0.251716 | -0.962420 | 0.078520 | 0.027194 | 5.690113 | 0.543224 | 0.7883 | 0.7354 | 0.4637 | 4.353070 | 4.666866 |
2459806 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.119041 | -0.427095 | 0.594409 | -0.914008 | -0.139322 | 1.115154 | 20.762213 | 1.233446 | 0.7447 | 0.6586 | 0.4038 | 4.468130 | 4.663028 |
2459805 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.514181 | -0.244615 | 4.601941 | -0.913631 | 4.758278 | 0.296640 | 11.849120 | -0.380875 | 0.7864 | 0.7501 | 0.4503 | 4.177149 | 4.474931 |
2459804 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.039028 | 0.141475 | 0.310414 | -0.418097 | 2.071274 | 0.648935 | 5.793302 | 0.276309 | 0.7838 | 0.7531 | 0.4356 | 3.690760 | 3.896139 |
2459803 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.869332 | 0.262305 | -1.170647 | -0.900607 | 0.014504 | -0.302355 | 12.623458 | 0.662211 | 0.7796 | 0.7572 | 0.4430 | 6.154430 | 6.182928 |
2459802 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.945275 | -0.136964 | -1.100731 | -0.484203 | -0.541393 | -0.651257 | 11.639585 | 0.841817 | 0.7791 | 0.6541 | 0.4791 | 3.992645 | 4.468693 |
2459801 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.431850 | 0.134972 | -1.018607 | -0.577616 | 0.215299 | -0.174465 | 6.936415 | 2.767001 | 0.7990 | 0.7492 | 0.4470 | 6.846779 | 7.336571 |
2459800 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.488951 | 0.033914 | -0.507893 | -0.688384 | 0.817261 | 0.689250 | 20.068174 | 0.486210 | 0.7600 | 0.7421 | 0.4284 | 5.364395 | 6.351843 |
2459799 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.550948 | -0.224481 | 0.446509 | -0.488219 | 0.158014 | -0.425550 | 9.969291 | -0.593621 | 0.7479 | 0.6558 | 0.4042 | 4.731687 | 5.048394 |
2459798 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.453272 | 0.021799 | 1.763831 | -0.664413 | 1.637281 | -0.455246 | 17.297328 | 0.857505 | 0.7415 | 0.7258 | 0.4293 | 4.183816 | 4.912055 |
2459797 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.136787 | 0.009338 | 1.533025 | -0.702076 | 1.511308 | 0.483985 | 30.144273 | 1.265172 | 0.7429 | 0.7301 | 0.4135 | 4.076582 | 4.686689 |
2459796 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.301327 | 0.239243 | 0.583989 | -0.327942 | 0.320664 | 0.419233 | 38.622391 | 0.999075 | 0.7235 | 0.7071 | 0.4115 | 9.151874 | 13.653279 |
2459795 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.038162 | -0.030790 | -0.549334 | -0.225868 | 6.409710 | 0.364229 | 18.928155 | 0.904273 | 0.7166 | 0.7024 | 0.4088 | 26.982351 | 22.791684 |
2459794 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.372287 | -0.621807 | 0.179769 | -0.694306 | 0.245675 | 0.351669 | 36.049869 | 0.173384 | 0.7153 | 0.6986 | 0.4203 | 0.000000 | 0.000000 |
2459793 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.416020 | -0.214261 | -0.641202 | -0.492010 | -0.045370 | -0.083545 | 17.247106 | 0.120606 | 0.7118 | 0.7071 | 0.4140 | 13.517376 | 17.194836 |
2459792 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.995785 | -0.921265 | 0.247237 | -0.931438 | -0.192990 | -0.541752 | 8.993927 | 0.011222 | 0.7497 | 0.6557 | 0.4043 | 3.968963 | 4.432527 |
2459791 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.138378 | -0.213006 | 1.049677 | -0.831052 | 0.202546 | 0.285060 | 5.631577 | 0.325101 | 0.6997 | 0.6924 | 0.3968 | 6.353953 | 7.667972 |
2459790 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.581024 | -0.107635 | 1.382941 | -0.780116 | 1.397135 | -0.313760 | 8.809668 | 0.022548 | 0.6961 | 0.6945 | 0.3994 | 4.473591 | 5.457960 |
2459789 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.621428 | 0.242720 | 7.292613 | 0.112170 | 4.845354 | -0.109982 | 5.457988 | 1.491933 | 0.6610 | 0.6596 | 0.3995 | 0.000000 | 0.000000 |
2459788 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.514287 | -0.061699 | -0.973708 | 0.082876 | -0.533544 | -0.290400 | 12.980733 | 1.867718 | 0.6769 | 0.6772 | 0.3781 | 16.131887 | 24.515136 |
2459787 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.132987 | 0.096158 | -0.966468 | -0.657419 | 0.010445 | -0.192043 | 8.261625 | 2.438453 | 0.6663 | 0.6655 | 0.3767 | 5.405200 | 6.010816 |
2459786 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.895154 | -0.025859 | -0.443693 | -0.609918 | -0.292841 | -0.784351 | 7.319438 | 1.096618 | 0.6502 | 0.6484 | 0.3625 | 12.934338 | 23.861798 |
2459785 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.286156 | -0.461195 | 0.835683 | -0.896057 | 0.187103 | -0.390736 | 11.870229 | -0.341700 | 0.7512 | 0.6609 | 0.4002 | 6.200816 | 7.862534 |
2459784 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.978237 | -0.040154 | -0.700923 | -0.926083 | 0.392784 | -0.934717 | 8.440033 | -0.518208 | 0.6088 | 0.6059 | 0.3513 | 20.055731 | 46.682007 |
2459783 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.743478 | 0.639513 | -0.285618 | 0.648029 | -0.609458 | 0.144909 | 3.110447 | 0.527760 | 0.6019 | 0.5998 | 0.3343 | 1.965818 | 1.989874 |
2459782 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.587510 | 0.379837 | 0.605540 | 1.276714 | 0.064140 | 0.573150 | 0.640076 | 0.890782 | 0.5714 | 0.5696 | 0.3291 | 1.736175 | 1.687395 |
2459781 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.056260 | 0.371540 | 1.100408 | 1.741147 | 0.382848 | 0.474645 | 2.490789 | 0.417518 | 0.7379 | 0.6844 | 0.3458 | 2.167838 | 2.242908 |
2459778 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.341247 | -0.152248 | 2.310775 | 3.917833 | 0.838071 | 0.741254 | 4.552146 | 1.152480 | 0.7184 | 0.6220 | 0.3925 | 3.272310 | 3.372505 |
2459776 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.217127 | -1.296848 | 2.199696 | 2.957954 | 1.049620 | 1.758122 | 9.487123 | -0.034498 | 0.7314 | 0.6130 | 0.4038 | 3.093488 | 3.205763 |
2459774 | digital_ok | - | 0.52% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7165 | 0.6079 | 0.3972 | nan | nan |
2459773 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.337538 | -0.722702 | -0.065863 | -0.962815 | 0.978646 | -0.157719 | 6.078512 | 0.755171 | 0.4929 | 0.4922 | 0.2913 | 4.523112 | 5.399972 |
2459772 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459771 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.994092 | -0.003805 | -1.134167 | -0.091066 | -0.970661 | -0.149209 | 7.041366 | 0.504705 | 0.7327 | 0.6392 | 0.3960 | 4.443317 | 4.295797 |
2459770 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.222368 | -0.153729 | -0.787810 | -0.748493 | -0.941943 | -0.641507 | 7.207013 | 0.022234 | 0.5254 | 0.5235 | 0.2934 | 3.753529 | 4.403952 |
2459769 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.622870 | -0.316887 | -0.854846 | -0.863106 | -0.562042 | -1.043843 | 4.522033 | -0.192604 | 0.5282 | 0.5296 | 0.2990 | 2.700724 | 2.951607 |
2459768 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.238781 | -0.563762 | -0.000451 | -0.910148 | 0.471571 | 0.444129 | 0.193776 | -0.024344 | 0.5266 | 0.5339 | 0.3027 | 1.586432 | 1.658915 |
2459767 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.987773 | -0.069978 | -1.134443 | -0.106724 | -1.260522 | -1.013891 | 0.636363 | 0.142250 | 0.5586 | 0.5609 | 0.2891 | 1.619861 | 1.666781 |
2459766 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.223430 | 0.038751 | -0.957098 | -0.068500 | -0.386204 | -0.658824 | 11.996012 | 0.223226 | 0.5279 | 0.5288 | 0.3113 | 2.489180 | 2.864220 |
2459765 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.374794 | -0.257138 | -0.250307 | -0.979280 | 2.908639 | -1.104118 | 9.675270 | 0.702555 | 0.5470 | 0.5475 | 0.3103 | 4.268862 | 4.718863 |
2459764 | digital_ok | - | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459763 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.767562 | 0.818638 | 1.085453 | -0.545352 | 30.813217 | 2.435475 | 28.867181 | 6.268069 | 0.7427 | 0.6814 | 0.4206 | 4.173548 | 4.908061 |
2459761 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.565357 | -0.444569 | 0.583595 | -0.750762 | 9.761693 | 0.007663 | 12.825318 | 0.069507 | 0.5787 | 0.5734 | 0.3232 | 3.658874 | 4.222340 |
2459760 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.458934 | -0.719678 | -0.825480 | -0.862889 | 8.483731 | 0.822578 | 12.254913 | 1.159316 | 0.5844 | 0.5847 | 0.3278 | 9.464055 | 11.211859 |
2459759 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459758 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459757 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.195082 | -0.681417 | -0.711030 | -0.475651 | -0.683128 | -0.640198 | 2.399663 | 0.013306 | 0.7420 | 0.6564 | 0.4021 | 2.120068 | 1.930542 |
2459755 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.730813 | -0.213804 | -1.137742 | -0.281691 | -1.279105 | -0.561199 | 3.550414 | 0.433375 | 0.6127 | 0.6051 | 0.3509 | 1.536683 | 1.774490 |
2459754 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.412765 | -0.367191 | -0.841569 | -0.186838 | -0.361630 | -0.709198 | 11.123086 | 0.242312 | 0.6219 | 0.6127 | 0.3665 | 3.790154 | 4.881007 |
2459753 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.370611 | -0.044086 | -1.010746 | -0.131339 | 0.209038 | -0.253298 | 11.931851 | 0.060989 | 0.6132 | 0.6038 | 0.3774 | 3.423133 | 4.125639 |
2459752 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.092013 | -0.100430 | 0.209879 | -0.739871 | 1.101874 | -0.654662 | 17.376883 | -0.227356 | 0.6189 | 0.6065 | 0.3763 | 0.000000 | 0.000000 |
2459750 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459749 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.486887 | -0.217817 | -1.191591 | -0.383843 | 0.004271 | -1.088429 | 13.099830 | -0.148144 | 0.0863 | 0.0755 | 0.0101 | 1.263202 | 1.251516 |
2459748 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459747 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.543340 | 1.423959 | 0.802050 | 0.713161 | 9.835232 | 4.406216 | 61.473931 | 13.584630 | 0.0333 | 0.0334 | 0.0029 | nan | nan |
2459746 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459745 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459744 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459743 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459742 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459741 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459740 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.620064 | 2.171732 | 2.061583 | 1.548395 | 3.569139 | 5.201288 | 31.507257 | 18.971904 | 0.0333 | 0.0336 | 0.0009 | nan | nan |
2459738 | digital_ok | 100.00% | 51.61% | 51.61% | 0.00% | 100.00% | 0.00% | 0.775349 | -0.279567 | -0.364901 | -1.156774 | -0.166799 | 1.168147 | 5.888266 | 0.713700 | 0.4138 | 0.4044 | 0.2169 | 3.181794 | 3.794520 |
2459736 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.329379 | -0.410131 | -0.942631 | -0.531341 | -0.787118 | -0.220771 | 5.940182 | -0.037536 | 0.7456 | 0.6573 | 0.4126 | 3.233327 | 3.388574 |
2459734 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.284931 | 1.377866 | 1.562824 | 0.945854 | 3.274367 | 4.114922 | 8.783146 | 6.721725 | 0.0346 | 0.0360 | 0.0009 | nan | nan |
2459733 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.064363 | 1.341225 | 1.519018 | 0.928704 | 0.897933 | 0.341684 | 7.784642 | 5.666176 | 0.0340 | 0.0359 | 0.0015 | nan | nan |
2459732 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.565665 | 1.417834 | 1.838738 | 0.861403 | 1.525221 | 2.398477 | 5.947997 | 3.453231 | 0.0351 | 0.0372 | 0.0010 | nan | nan |
2459731 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.234855 | -0.232746 | 0.241928 | -1.014285 | -0.131769 | 1.673838 | 5.720091 | 0.567459 | 0.7214 | 0.7150 | 0.3935 | 6.061819 | 7.835949 |
2459730 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.846094 | 0.961668 | 1.625057 | 0.947932 | 0.928817 | -0.124289 | 2.450100 | 2.207788 | 0.0314 | 0.0317 | 0.0008 | nan | nan |
2459728 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.729246 | 0.675504 | 0.920891 | 0.659128 | -0.074304 | 0.176851 | 3.993876 | 1.045293 | 0.0329 | 0.0329 | 0.0007 | nan | nan |
2459726 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.424235 | 0.461305 | 0.928638 | 0.665093 | 2.061903 | 0.905486 | 9.064464 | 6.620189 | 0.0319 | 0.0326 | 0.0004 | nan | nan |
2459724 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.725429 | 0.731125 | 0.633811 | 0.731879 | 4.487241 | 0.617331 | 29.243726 | 5.139367 | 0.0315 | 0.0376 | 0.0020 | nan | nan |
2459723 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.114664 | 0.199469 | 0.529851 | 0.582570 | 16.018591 | 0.558376 | 31.574206 | 7.774457 | 0.0318 | 0.0366 | 0.0016 | nan | nan |
2459722 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.635320 | -0.662364 | 0.245195 | -1.213601 | -0.468675 | -0.646820 | -0.220062 | 0.537338 | 0.7339 | 0.6606 | 0.4227 | 2.392483 | 2.666579 |
2459720 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.472835 | 0.100075 | 1.521370 | 0.812653 | 5.451017 | 5.897189 | 7.763265 | 9.554825 | 0.0316 | 0.0326 | 0.0011 | nan | nan |
2459719 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.552314 | 0.216437 | 1.342614 | 0.652113 | 4.835965 | 5.399737 | 14.575254 | 14.114420 | 0.0315 | 0.0330 | 0.0010 | nan | nan |
2459718 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.311973 | 0.588912 | 1.131301 | 0.778839 | 6.140444 | 9.231478 | 18.878903 | 19.131912 | 0.0323 | 0.0308 | 0.0007 | nan | nan |
2459717 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.693682 | 0.575900 | -0.316435 | 0.529312 | 21.127630 | 5.173837 | 20.760769 | 23.417676 | 0.0318 | 0.0323 | 0.0007 | nan | nan |
2459716 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.690911 | 0.419358 | -0.262824 | 0.971586 | 7.053429 | 10.212453 | 40.337948 | 30.179585 | 0.0324 | 0.0350 | 0.0010 | nan | nan |
2459715 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.607330 | -0.449455 | 2.377099 | -1.009196 | 1.686614 | -0.738102 | 7.978095 | -0.153792 | 0.7105 | 0.6469 | 0.4238 | 4.287598 | 5.728574 |
2459713 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.304079 | 0.607828 | -0.597406 | 1.450398 | 6.183597 | 8.288545 | 22.267968 | 29.695861 | 0.0317 | 0.0331 | 0.0011 | nan | nan |
2459712 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.372160 | -0.396737 | 6.829265 | -0.985496 | 7.087522 | -0.966718 | 3.017154 | -0.108461 | 0.6414 | 0.6347 | 0.3576 | 6.128079 | 7.572216 |
2459711 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.088252 | 0.271591 | 0.341924 | 0.641481 | 3.148339 | 1.484260 | 13.984840 | 13.212038 | 0.0309 | 0.0329 | 0.0010 | nan | nan |
2459710 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.061621 | 0.349237 | 0.724070 | 1.219062 | 7.874025 | 6.275245 | 24.220304 | 17.795641 | 0.0308 | 0.0316 | 0.0013 | nan | nan |
2459708 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.285236 | -0.518280 | 0.905467 | -1.117050 | 0.001598 | -0.703156 | -0.857401 | 0.459807 | 0.7148 | 0.6576 | 0.4073 | 0.000000 | 0.000000 |
2459707 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.051950 | -0.214664 | -0.751342 | -0.467590 | -1.202761 | -0.944523 | 16.135337 | 14.722490 | 0.0331 | 0.0335 | 0.0010 | 0.000000 | 0.000000 |
2459706 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.132171 | 0.350945 | 0.682458 | 1.416775 | 20.501281 | 0.784845 | 18.313986 | 14.899576 | 0.0319 | 0.0326 | 0.0009 | nan | nan |
2459705 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.184823 | 1.224047 | -0.603890 | 2.599722 | 5.655389 | 6.550653 | 83.358945 | 36.402621 | 0.0308 | 0.0322 | 0.0010 | nan | nan |
2459703 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.839061 | 1.223211 | 3.964548 | 3.732534 | 11.992546 | 11.225033 | 14.045365 | 13.949494 | 0.0320 | 0.0343 | 0.0028 | nan | nan |
2459702 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.866265 | -0.046109 | 0.396082 | -1.047185 | 0.217010 | -0.300448 | 7.630305 | 0.832152 | 0.6446 | 0.6523 | 0.3230 | 12.152596 | 14.077518 |
2459701 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.534635 | 0.120811 | -0.783358 | -0.726394 | 1.910033 | -1.158210 | 25.768123 | 1.508107 | 0.6534 | 0.6601 | 0.3171 | 7.239358 | 6.900472 |
2459697 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459696 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 86.681934 | 86.681934 | 76.948327 | 76.948327 | 80.483240 | 80.483240 | 317.510342 | 317.510342 | 1.0000 | 1.0000 | 0.0000 | 0.000102 | 0.000102 |
2459695 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 256.807998 | 256.807998 | 254.804328 | 254.804328 | 261.868637 | 261.868637 | 863.944984 | 863.944984 | 1.0000 | 1.0000 | 0.0000 | 0.000000 | 0.000000 |
2459694 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.677710 | -0.740497 | 0.738952 | -1.011855 | 5.013539 | -0.982789 | 5.298914 | -0.353559 | 0.6658 | 0.6335 | 0.3911 | 6.097946 | 6.218425 |
2459693 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.150418 | 0.231014 | 6.136835 | -0.871347 | 5.054348 | -1.034884 | 7.644550 | -0.703363 | 0.7168 | 0.7194 | 0.2752 | 6.658463 | 8.085588 |
2459692 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.405437 | -0.133670 | 2.742860 | -0.845785 | 0.685928 | -0.484901 | 2.408076 | -0.613257 | 0.7391 | 0.7705 | 0.2215 | 5.441669 | 5.303475 |
2459691 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.086494 | -0.332541 | 5.496947 | -1.090669 | 1.804599 | -1.180216 | 3.685375 | 1.060107 | 0.6278 | 0.6302 | 0.3148 | 15.780179 | 16.022919 |
2459690 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459689 | RF_maintenance | 0.00% | - | - | - | - | - | 0.191862 | -0.035463 | 3.185906 | -0.780725 | 2.892266 | -0.448219 | 2.814909 | 0.345096 | nan | nan | nan | nan | nan |
2459688 | RF_maintenance | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 3.809118 | 4.312999 |
2459687 | RF_maintenance | 100.00% | 99.46% | 99.46% | 0.00% | - | - | 0.801149 | -0.297693 | 5.970308 | -0.464664 | -0.619835 | 0.552535 | -2.606394 | 1.469763 | 0.1923 | 0.1796 | 0.0757 | nan | nan |
2459686 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.079700 | -0.611380 | 4.184360 | -0.710119 | 1.823027 | -1.384191 | 0.980067 | -0.641573 | 0.6327 | 0.6414 | 0.3349 | 6.926025 | 5.731364 |
2459685 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.342659 | -0.212172 | 3.634466 | -0.838111 | 5.523160 | -1.393580 | 0.551844 | 0.148865 | 0.6413 | 0.6455 | 0.3360 | 13.242078 | 12.533642 |
2459684 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.177075 | -0.686309 | 5.553482 | -0.631748 | 2.921445 | -0.813296 | 9.668303 | -0.324995 | 0.6392 | 0.6478 | 0.3411 | 5.379828 | 4.965460 |
2459676 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.022227 | -0.048296 | 1.737318 | -0.778932 | -0.289335 | -0.789150 | 5.191907 | 0.283509 | 0.6463 | 0.6538 | 0.3504 | 26.603814 | 27.610087 |
2459675 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.312837 | -0.001473 | 4.755406 | -0.930137 | 7.096408 | -0.627798 | 2.225980 | 0.287021 | 0.6498 | 0.6611 | 0.3455 | 6.764798 | 6.644897 |
2459674 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459673 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.891040 | -0.239238 | 5.075817 | -0.685811 | 3.561223 | 0.369249 | 5.071567 | 0.048652 | 0.6632 | 0.6618 | 0.3624 | 0.000000 | 0.000000 |
2459672 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.217691 | -0.387420 | 5.119642 | -0.897768 | 5.930265 | -0.358255 | -0.238240 | -0.485680 | 0.6586 | 0.6640 | 0.3458 | 3.484584 | 3.980136 |
2459671 | RF_maintenance | 100.00% | 32.97% | 32.97% | 0.00% | 100.00% | 0.00% | 2.460114 | -0.267978 | 4.672068 | -0.482189 | 8.896936 | -0.971085 | 4.965883 | 0.386543 | 0.4930 | 0.4972 | 0.2679 | 0.000000 | 0.000000 |
2459670 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459669 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 4.918220 | 1.847368 | 5.212350 | 2.798665 | 7.416473 | -0.642379 | 7.123187 | 1.472509 | 0.0460 | 0.0445 | 0.0017 | nan | nan |
2459668 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.032238 | -0.304193 | 2.251303 | -1.046159 | 12.312945 | -0.803988 | 2.050920 | -0.370008 | 0.7006 | 0.6975 | 0.3249 | 6.027631 | 6.661945 |
2459665 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.520741 | -0.145904 | 4.401693 | -0.661135 | 1.125073 | -0.787284 | 4.186559 | 0.897063 | 0.6744 | 0.6893 | 0.3499 | 10.826361 | 13.442842 |
2459664 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.833442 | -0.428405 | 0.153925 | 0.527549 | 1.246420 | -0.500166 | 0.802863 | -0.001599 | 0.0294 | 0.0313 | 0.0008 | nan | nan |
2459663 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.157451 | 0.271556 | 9.242901 | -1.003023 | 13.155606 | -0.416504 | 4.652079 | 0.493529 | 0.6497 | 0.6561 | 0.3408 | 14.416272 | 15.863155 |
2459662 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 3.938735 | -0.972436 | 2.771748 | -1.094485 | 0.648410 | 2.072277 | 0.520809 | 0.128884 | 0.0339 | 0.0322 | 0.0003 | nan | nan |
2459661 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.356351 | 0.161577 | 5.406646 | -1.048055 | 17.402680 | -0.776096 | 3.585487 | 0.128428 | 0.6890 | 0.6899 | 0.3030 | 5.942553 | 6.613906 |
2459660 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.107801 | -0.157865 | 6.467136 | -0.947127 | 5.806860 | -0.880370 | 3.489156 | 0.601888 | 0.6888 | 0.6821 | 0.3141 | 7.058080 | 7.679469 |
2459659 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.689892 | -0.418698 | 2.500230 | -0.870732 | 10.518933 | -0.453530 | 14.400364 | 0.297883 | 0.6492 | 0.6514 | 0.3360 | 6.112160 | 7.494332 |
2459658 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.972992 | -0.489437 | 4.212918 | -0.796841 | 3.984069 | -0.643486 | -0.026475 | 0.331082 | 0.6466 | 0.6570 | 0.3398 | 4.185445 | 5.170610 |
2459657 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.636769 | -0.180976 | 5.013386 | -0.712518 | 12.648957 | -0.479653 | 4.490916 | 0.148492 | 0.6684 | 0.6650 | 0.3256 | 6.955544 | 6.365198 |
2459656 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.089776 | -0.357519 | 3.009088 | -0.433257 | 8.034261 | -0.041573 | 5.150037 | 0.531496 | 0.6366 | 0.6436 | 0.3444 | 8.302101 | 9.327357 |
2459655 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.975609 | -0.519030 | -0.027369 | -0.995156 | 2.529964 | 0.575624 | 7.112570 | -0.163154 | 0.0326 | 0.0313 | 0.0017 | nan | nan |
2459653 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.096699 | -0.592249 | 4.920016 | -0.530324 | 8.204078 | 0.066778 | 7.460209 | -0.094872 | 0.6473 | 0.6552 | 0.3411 | 5.420226 | 5.556828 |
2459652 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.233048 | 1.905807 | 6.104994 | -1.102004 | 6.116029 | 0.150592 | 8.061430 | 0.266782 | 0.6343 | 0.6392 | 0.3481 | 17.296868 | 20.175208 |
2459651 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.383572 | 0.978043 | 6.115726 | -0.794087 | 2.566208 | 2.520681 | 5.459612 | -0.673476 | 0.8494 | 0.8588 | 0.1343 | 24.616886 | 28.038377 |
2459650 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.772045 | 0.008501 | 5.596464 | -0.591062 | 5.275452 | -1.387252 | 5.786800 | -0.812694 | 0.7678 | 0.7632 | 0.2559 | 8.852168 | 8.495742 |
2459649 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.997729 | -0.526827 | 5.411927 | -0.485097 | 4.422340 | -0.952372 | -0.496891 | 0.750328 | 0.6736 | 0.6720 | 0.3157 | 5.313261 | 4.894247 |
2459648 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459647 | RF_maintenance | 0.00% | 81.63% | 81.63% | 0.00% | 100.00% | 0.00% | 0.730792 | 0.730792 | 0.731172 | 0.731172 | 0.001572 | 0.001572 | 0.881885 | 0.881885 | 0.2084 | 0.2084 | 0.0000 | 0.033371 | 0.033371 |
2459646 | RF_maintenance | 100.00% | 17.34% | 17.88% | 0.00% | 100.00% | 0.00% | 1.294789 | -0.764940 | 6.555667 | -0.862353 | 5.633423 | -1.076905 | 3.406591 | 0.798805 | 0.4881 | 0.4962 | 0.2522 | 5.013531 | 5.211707 |
2459645 | RF_maintenance | 100.00% | 16.22% | 16.76% | 0.00% | 100.00% | 0.00% | 1.309497 | -0.567687 | 6.558537 | -1.007036 | 4.949681 | -1.055013 | 3.864871 | -0.923867 | 0.6045 | 0.6459 | 0.2244 | 7.341413 | 10.673505 |
2459642 | RF_maintenance | 100.00% | 14.64% | 15.18% | 0.00% | 100.00% | 0.00% | 0.441369 | -0.630800 | -0.942978 | -0.907682 | 0.403425 | -0.762269 | 9.118149 | -0.021890 | 0.4849 | 0.4894 | 0.2526 | 6.387882 | 5.622963 |
2459641 | RF_maintenance | - | 30.20% | 44.97% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.5686 | 0.5338 | 0.0274 | nan | nan |
2459640 | RF_maintenance | 100.00% | 13.51% | 13.51% | 0.00% | 100.00% | 0.00% | 1.713274 | -0.304688 | 6.142009 | -0.798975 | 1.921545 | -0.924360 | 4.938216 | -0.391587 | 0.4822 | 0.4970 | 0.2515 | 7.609608 | 6.756417 |
2459639 | RF_maintenance | 100.00% | 12.48% | 13.02% | 0.00% | 100.00% | 0.00% | 1.327103 | -0.387520 | 5.800755 | -1.007338 | 4.161335 | -0.895907 | 1.797077 | 0.812332 | 0.4959 | 0.5067 | 0.2491 | 5.039157 | 4.655256 |
2459638 | RF_maintenance | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6609 | 0.6828 | 0.2349 | nan | nan |
2459637 | RF_maintenance | 100.00% | 11.35% | 11.89% | 0.00% | 100.00% | 0.00% | 1.158068 | -0.248423 | 0.210074 | -1.058683 | 1.173649 | -1.502805 | 5.260851 | 0.236396 | 0.4765 | 0.4813 | 0.2473 | 5.607685 | 5.405021 |
2459636 | RF_maintenance | 100.00% | 10.81% | 10.81% | 0.00% | 100.00% | 0.00% | 1.043082 | -0.352910 | 1.248115 | -0.875060 | 21.503264 | -0.736398 | 3.333131 | -0.373024 | 0.4753 | 0.4811 | 0.2476 | 5.895177 | 5.422400 |
2459635 | RF_maintenance | 100.00% | 10.32% | 10.32% | 0.00% | 100.00% | 0.00% | 1.118159 | 1.521645 | 5.555620 | -0.744646 | 7.874810 | -0.043586 | 7.324290 | -0.184104 | 0.4868 | 0.4788 | 0.2495 | 7.453565 | 6.954605 |
2459634 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.196669 | 0.196669 | 0.196449 | 0.196449 | 0.206810 | 0.206810 | 0.205809 | 0.205809 | 1.0000 | 1.0000 | 0.0000 | 0.046058 | 0.046058 |
2459633 | RF_maintenance | 100.00% | 9.24% | 9.78% | 0.00% | 100.00% | 0.00% | 1.081784 | 1.243125 | 4.685040 | -0.757401 | 0.689363 | -0.594323 | 14.144837 | 0.658972 | 0.4836 | 0.4793 | 0.2576 | 8.980804 | 7.828613 |
2459632 | RF_maintenance | 100.00% | 8.11% | 8.65% | 0.00% | 100.00% | 0.00% | 0.498401 | 1.200023 | 4.172183 | -0.672646 | 0.095978 | -0.450243 | 7.960263 | -0.213319 | 0.4854 | 0.4783 | 0.2536 | 5.698871 | 4.958026 |
2459631 | RF_maintenance | 100.00% | 7.57% | 8.11% | 0.00% | 100.00% | 0.00% | 1.034754 | 1.799817 | 6.119027 | -0.718680 | 2.155026 | -0.076413 | 3.992341 | -0.038493 | 0.4866 | 0.4816 | 0.2536 | 6.190067 | 6.160637 |
2459630 | RF_maintenance | 100.00% | 6.54% | 7.08% | 0.00% | 100.00% | 0.00% | 1.417176 | 2.063117 | 5.432453 | -0.829461 | 2.536679 | -0.073896 | 6.505581 | 0.401465 | 0.4900 | 0.4870 | 0.2514 | 7.919447 | 9.454484 |
2459629 | RF_maintenance | 100.00% | 6.54% | 6.54% | 0.00% | 100.00% | 0.00% | 1.223616 | 1.781758 | 6.575565 | -0.485345 | 0.486770 | 0.700939 | 2.618294 | 0.115133 | 0.5183 | 0.5061 | 0.2467 | 10.563775 | 10.833653 |
2459628 | RF_maintenance | 100.00% | 5.95% | 5.95% | 0.00% | 100.00% | 0.00% | 1.350511 | 1.353058 | 5.159410 | -0.572906 | 4.794174 | 0.022141 | 3.575606 | 0.667363 | 0.4882 | 0.4836 | 0.2583 | 6.021638 | 5.176021 |
2459627 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.530557 | 0.530557 | 0.536458 | 0.536458 | 0.575048 | 0.575048 | 0.573114 | 0.573114 | 1.0000 | 1.0000 | 0.0000 | 0.038156 | 0.038156 |
2459626 | RF_maintenance | 100.00% | 4.38% | 4.38% | 0.00% | 100.00% | 0.00% | 0.658528 | 0.950864 | 6.102904 | -0.906847 | 4.510039 | 0.525611 | 1.762723 | 0.882499 | 0.5104 | 0.5059 | 0.2613 | 5.851631 | 5.193373 |
2459625 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459624 | RF_maintenance | 100.00% | 2.70% | 3.78% | 0.00% | 100.00% | 0.00% | 1.829299 | 1.735870 | 6.751194 | -0.574742 | 4.527021 | 0.066018 | 1.826945 | 1.154293 | 0.5009 | 0.4908 | 0.2558 | 8.430340 | 7.563192 |
2459623 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459622 | RF_maintenance | 100.00% | 2.16% | 3.78% | 0.00% | 100.00% | 0.00% | 0.801981 | -0.608486 | -0.632389 | -0.091503 | 0.952434 | -0.724522 | 8.963842 | 0.754218 | 0.5140 | 0.5158 | 0.2749 | 0.000000 | 0.000000 |
2459621 | RF_maintenance | 100.00% | - | - | - | 100.00% | 0.00% | -0.476638 | -1.061742 | 0.035171 | -1.190507 | 11.922876 | -0.809485 | 0.402878 | -0.084900 | nan | nan | nan | 34.880499 | 66.776573 |
2459620 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.456863 | -0.772877 | -0.236634 | -1.017632 | 1.686826 | 1.814112 | 1.308909 | 0.701083 | 0.0327 | 0.0321 | 0.0010 | nan | nan |
2459619 | RF_maintenance | 100.00% | 0.00% | 0.54% | 0.00% | 100.00% | 0.00% | 0.983563 | -0.395302 | 0.721716 | -0.615944 | 1.012779 | -0.697132 | 4.157968 | 0.240512 | 0.5339 | 0.5398 | 0.2751 | 0.000000 | 0.000000 |
2459618 | RF_maintenance | 100.00% | 0.00% | 0.59% | 0.00% | 100.00% | 0.00% | 1.354223 | -0.654367 | 4.347721 | -0.800642 | 14.858235 | -1.558602 | 2.574840 | 0.650271 | 0.5218 | 0.5250 | 0.2855 | 13.035080 | 13.920135 |
2459617 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.899239 | -0.635825 | 6.579640 | -0.818758 | 5.086841 | -0.883231 | 4.758825 | 3.617782 | 0.5327 | 0.5404 | 0.2777 | 8.824634 | 11.395696 |
2459616 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.482479 | -0.561892 | 7.110094 | -0.470850 | 1.117710 | 0.397684 | 5.211963 | 0.608838 | 0.5263 | 0.5241 | 0.2785 | 12.716694 | 14.438849 |
2459615 | RF_maintenance | 100.00% | 0.00% | 2.16% | 0.00% | 100.00% | 0.00% | 0.979996 | -0.940537 | 6.010763 | -0.685257 | 3.229003 | -1.023094 | 3.328693 | 0.065353 | 0.5132 | 0.5145 | 0.2893 | 0.000000 | 0.000000 |
2459614 | RF_maintenance | 100.00% | 0.54% | 1.08% | 0.00% | 100.00% | 0.00% | 0.971913 | -0.757095 | 4.133186 | -0.935339 | 2.125535 | -0.973573 | 2.560109 | -0.213235 | 0.5155 | 0.5110 | 0.2906 | 0.000000 | 0.000000 |
2459613 | RF_maintenance | 100.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459612 | RF_maintenance | 100.00% | 68.11% | 68.11% | 0.00% | 100.00% | 0.00% | 1.459142 | -1.061641 | 8.130974 | -0.731848 | 6.004988 | -0.975612 | -0.957553 | -0.369369 | 0.2704 | 0.2655 | 0.1238 | 0.000000 | 0.000000 |
2459611 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.069304 | -1.003761 | 5.571570 | -0.643178 | 4.104355 | -1.236511 | 5.360736 | -0.031569 | 0.5322 | 0.5472 | 0.2761 | 5.395489 | 4.900644 |
2459610 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.515563 | -1.183808 | 6.064411 | -0.711099 | 8.805994 | -0.256194 | 4.365161 | -0.426591 | 0.6105 | 0.6231 | 0.2462 | 7.308338 | 7.648161 |
2459609 | RF_maintenance | 100.00% | 0.54% | 1.08% | 0.00% | 100.00% | 0.00% | 1.038763 | -1.038349 | 5.707730 | -0.556689 | 0.610037 | -0.479098 | 4.435268 | 0.000980 | 0.5746 | 0.5771 | 0.2513 | 6.046160 | 5.664407 |
2459608 | RF_maintenance | 100.00% | 1.08% | 1.08% | 0.00% | 100.00% | 0.00% | 0.669498 | -0.890999 | 7.044243 | -0.601253 | 0.077482 | -0.619762 | 1.623596 | -0.280058 | 0.5179 | 0.5182 | 0.2951 | 6.978866 | 7.179980 |
2459607 | RF_maintenance | 100.00% | 44.86% | 45.95% | 0.00% | 100.00% | 0.00% | 0.896777 | -0.328811 | 5.856407 | -0.647856 | 5.385820 | -0.573831 | 6.270957 | -0.319510 | 0.3037 | 0.2992 | 0.1793 | 9.384000 | 7.938318 |
2459605 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.694993 | -0.640742 | -0.571358 | -1.029147 | -0.819050 | -0.888034 | -1.557772 | -0.002629 | 0.0289 | 0.0288 | 0.0006 | nan | nan |
2459604 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 351.839526 | 352.339762 | inf | inf | 52.677946 | 57.728714 | 553.924383 | 630.444307 | nan | nan | nan | 0.000000 | 0.000000 |
2459603 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.313311 | 0.570768 | 2.984754 | -0.817867 | 8.405791 | 0.631865 | 2.357440 | 1.897574 | 0.6579 | 0.6655 | 0.2576 | 8.467051 | 11.755498 |
2459602 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.573614 | -0.688965 | -0.032412 | -0.701336 | 0.766617 | -0.728495 | 2.137843 | 0.150016 | 0.5454 | 0.5666 | 0.2918 | 4.906689 | 4.582361 |
2459598 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.576980 | -0.591360 | -0.729064 | -0.925338 | 23.366153 | -0.659937 | 8.488388 | -0.329648 | 0.5294 | 0.5323 | 0.2998 | 6.994025 | 6.174584 |
2459597 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.815165 | -0.558543 | 4.041474 | -1.069599 | 20.729218 | -1.110006 | 3.111540 | 1.077364 | 0.5555 | 0.5556 | 0.2719 | 5.575966 | 4.757920 |
2459596 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.958075 | -0.717986 | 6.206453 | -0.770280 | 6.371062 | -0.416346 | 0.606164 | -0.067340 | 0.5605 | 0.5595 | 0.2898 | 6.639599 | 5.678507 |
2459595 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.832875 | -0.497878 | 6.447580 | -0.875626 | 6.288029 | -1.244159 | 6.405085 | -0.870100 | 0.6949 | 0.6964 | 0.1826 | 7.555738 | 7.149696 |
2459594 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.547267 | -0.301645 | 4.737905 | -0.505599 | 21.596410 | -0.925524 | 1.566445 | -0.620678 | 0.7313 | 0.7355 | 0.2377 | 9.667454 | 9.591111 |
2459593 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.518628 | -0.075551 | 3.920951 | -1.022041 | 11.974800 | -0.462835 | 1.996572 | -0.155136 | 0.6618 | 0.6522 | 0.2087 | 6.415896 | 5.349138 |
2459592 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.193764 | -0.909799 | -0.505051 | -0.881100 | 0.516549 | -0.066000 | 0.428274 | 0.031074 | 0.0326 | 0.0299 | 0.0004 | nan | nan |
2459591 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.758162 | -0.377669 | -0.212052 | -0.791628 | 41.608447 | -1.206831 | 3.993433 | -0.504927 | 0.5544 | 0.5647 | 0.3072 | 6.866460 | 5.666072 |
2459590 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.804495 | -0.170929 | 8.368082 | -1.033031 | 4.536033 | -1.587670 | 7.363020 | 0.241560 | 0.5561 | 0.5637 | 0.3022 | 8.242115 | 6.851696 |
2459589 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.787112 | 0.115305 | 7.370387 | -1.073002 | 2.642845 | -0.589071 | 5.237588 | -0.523228 | 0.6240 | 0.6146 | 0.2378 | 5.637374 | 4.932918 |
2459588 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.014377 | 0.748496 | 4.437820 | -0.841720 | 20.941441 | -1.185403 | 1.516796 | -0.710969 | 0.7287 | 0.7060 | 0.1928 | 9.285192 | 7.713875 |
2459587 | RF_maintenance | 100.00% | - | - | - | 100.00% | 0.00% | 0.596637 | -0.265032 | 5.829908 | -0.943621 | 6.088104 | 3.323653 | 0.830763 | -0.299821 | nan | nan | nan | 15.161734 | 15.773245 |
2459586 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.515124 | 0.704856 | 0.481937 | 1.517822 | 17.230853 | 4.118410 | 5.815377 | 0.053991 | 0.5616 | 0.5722 | 0.2949 | 4.807793 | 4.312406 |
2459585 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 10.509880 | 8.428461 | 5.514840 | 4.879553 | 5.480151 | 4.642185 | 2.569701 | 1.403603 | 0.0327 | 0.0351 | 0.0018 | 0.000000 | 0.000000 |
2459584 | RF_maintenance | 100.00% | 25.21% | 22.21% | 0.00% | 100.00% | 0.00% | 2.105221 | -0.012924 | 11.710802 | 7.341601 | 20.401426 | 27.039482 | 3.309038 | -0.688286 | 0.4863 | 0.4989 | 0.2973 | 6.604664 | 6.455449 |
2459583 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.780580 | 0.114383 | 7.874704 | 7.892957 | 2.361111 | 0.350732 | 8.501447 | 0.381639 | 0.5328 | 0.5423 | 0.3137 | 4.718344 | 4.633035 |
2459582 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 298.236821 | 299.128876 | inf | inf | 11472.197751 | 11537.055286 | 6059.155598 | 6063.972936 | nan | nan | nan | 0.000000 | 0.000000 |
2459581 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459580 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.683829 | 0.430357 | 6.641022 | 8.097989 | 1.276361 | 0.728180 | 7.482407 | -0.089341 | 0.5543 | 0.5632 | 0.3146 | 5.906474 | 5.409352 |
2459579 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.484257 | 0.457643 | 7.842115 | 9.743374 | 4.722443 | 1.219040 | 2.981243 | 0.367963 | 0.5538 | 0.5614 | 0.3182 | 5.931763 | 5.167692 |
2459578 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459577 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.494359 | 0.425007 | 5.948882 | 7.374060 | 24.293307 | 1.681308 | 7.546321 | 0.171455 | 0.5554 | 0.5648 | 0.3150 | 3.966127 | 3.615437 |
2459576 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.270910 | 0.647923 | 1.968980 | 6.007963 | 2.627251 | 2.055479 | 11.129035 | 1.164681 | 0.0664 | 0.0787 | 0.0100 | 1.199207 | 1.195791 |
2459575 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459574 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.130293 | 0.446274 | 1.834000 | 5.701115 | 2.409232 | 2.012916 | 5.300409 | 1.020745 | 0.0880 | 0.1062 | 0.0204 | 1.252188 | 1.251172 |
2459573 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459572 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.250062 | 0.274770 | 1.824732 | 5.800305 | 5.959751 | 0.246062 | 4.534700 | 1.081445 | 0.0572 | 0.0653 | 0.0059 | 1.136601 | 1.135176 |
2459571 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.152699 | -0.606557 | -0.397096 | 0.318306 | -0.102679 | -0.807187 | -0.941191 | -0.712002 | 0.0361 | 0.0320 | 0.0017 | nan | nan |
2459570 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459569 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.422277 | -0.398582 | 2.379370 | 6.692881 | 1.977882 | 7.753002 | 2.930183 | 8.917090 | 0.0866 | 0.0929 | 0.0104 | 1.256666 | 1.256937 |
2459566 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.340327 | -0.003852 | 5.007225 | 7.702413 | 2.003979 | 0.664915 | 3.990721 | 0.565249 | 0.0888 | 0.1026 | 0.0229 | 1.083185 | 1.071614 |
2459565 | RF_maintenance | 0.00% | - | - | - | 100.00% | 0.00% | -0.301489 | -0.301489 | -0.301515 | -0.301515 | -0.686513 | -0.686513 | -0.816541 | -0.816541 | nan | nan | nan | 0.000000 | 0.000000 |
2459564 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.781799 | 0.114952 | 0.266598 | 0.606037 | 9.244593 | 9.353268 | 1.069129 | -0.363072 | 0.7145 | 0.7163 | 0.3891 | 3.532436 | 3.047005 |
2459563 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459562 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459561 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459560 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459559 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.043293 | 1.163793 | 2.004759 | 4.200453 | 3.019649 | 0.953111 | 1.424900 | 0.613760 | 0.7060 | 0.7085 | 0.3788 | 3.374172 | 3.042540 |
2459558 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.088377 | 0.444489 | 3.381460 | 8.261920 | 7.626596 | -0.355263 | 2.353982 | 0.548511 | 0.7058 | 0.7052 | 0.3855 | 3.885310 | 3.616499 |
2459557 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0427 | 0.0330 | 0.0024 | nan | nan |
2459556 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.335612 | 1.030196 | 3.041802 | 9.122492 | 6.284253 | 0.653007 | 5.481936 | 1.189855 | 0.7097 | 0.7085 | 0.3813 | 4.085735 | 3.625109 |
2459554 | RF_maintenance | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7015 | 0.6980 | 0.4021 | nan | nan |
2459553 | RF_maintenance | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7111 | 0.7083 | 0.3920 | nan | nan |
2459552 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.128287 | 0.504961 | 8.426771 | 11.440473 | 31.701511 | 1.420875 | 0.308766 | 0.359215 | 0.7146 | 0.7073 | 0.3850 | 5.374537 | 1.639652 |
2459551 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.391521 | 0.831180 | 3.818234 | 4.666399 | 2.207170 | 1.624879 | 1.608580 | 0.743492 | 0.7019 | 0.7042 | 0.3873 | 3.388734 | 3.000497 |
2459550 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0334 | 0.0309 | 0.0029 | nan | nan |
2459549 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.128275 | 0.498916 | 6.990220 | 8.447023 | 2.536034 | 0.393139 | 0.748306 | 0.220183 | 0.7042 | 0.7045 | 0.3952 | 3.894523 | 3.422882 |
2459542 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.130315 | 0.366477 | 3.934717 | 2.861941 | 4.160707 | 5.715480 | -0.336973 | -0.460768 | 0.7644 | 0.7586 | 0.3475 | 3.571559 | 3.295292 |
2459541 | RF_maintenance | 100.00% | 1.34% | 1.79% | 0.00% | 100.00% | 0.00% | -0.216874 | 0.054494 | 7.475185 | 9.902976 | 7.670625 | 15.391401 | 5.474045 | 9.241310 | 0.7550 | 0.7405 | 0.3231 | 4.463075 | 4.381454 |
2459540 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459536 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.406125 | 1.415142 | 11.456215 | 14.761216 | 3.396190 | 0.838071 | 0.816634 | 0.298530 | 0.7382 | 0.7343 | 0.4115 | 4.199398 | 3.662233 |
2459535 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.787024 | 0.106486 | 3.228872 | 3.782927 | 0.848558 | 0.126111 | 0.938745 | 0.203009 | 0.7788 | 0.7538 | 0.3629 | 3.512331 | 3.049419 |
2459534 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.810464 | -0.008503 | 3.240114 | 3.542005 | 0.518186 | 0.821254 | 2.711011 | 0.624437 | 0.7711 | 0.7518 | 0.3525 | 7.939099 | 8.239625 |
2459533 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.335679 | 0.009151 | 6.666394 | 8.088414 | 2.726209 | 1.304233 | 0.358892 | 0.916670 | 0.7216 | 0.7116 | 0.4014 | 3.950148 | 3.485449 |
2459532 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.170609 | 0.004180 | 8.883009 | 11.343641 | 1.925736 | -0.462995 | 0.136357 | 0.008131 | 0.7210 | 0.7084 | 0.4019 | 3.999272 | 3.592681 |
2459530 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.543348 | 0.738254 | 2.976022 | 3.592595 | 1.985947 | 0.274053 | 1.042221 | 0.177428 | 0.7419 | 0.7270 | 0.3973 | 4.079073 | 3.637742 |
2459527 | RF_maintenance | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459524 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.484055 | 2.990248 | 9.095648 | 10.405951 | 4.492110 | 5.403986 | 1.979413 | 0.544890 | 0.9006 | 0.9291 | 0.3192 | 0.000000 | 0.000000 |
2459523 | RF_maintenance | 100.00% | - | - | - | 100.00% | 0.00% | 0.874247 | -1.213318 | 10.506854 | 12.142248 | -0.474581 | 1.040915 | 1.149816 | 1.217710 | nan | nan | nan | 5.614770 | 4.994533 |
2459522 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.454754 | 0.494869 | 9.206905 | 11.827938 | 0.870036 | 0.173489 | 1.191413 | 0.333208 | 0.6783 | 0.6456 | 0.3612 | 4.444123 | 6.247290 |
2459513 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.372104 | -0.388700 | 0.599220 | 0.685361 | -0.192504 | -0.506867 | -0.806924 | -0.533655 | 0.0353 | 0.0427 | 0.0017 | nan | nan |
2459508 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.795652 | 3.236323 | 7.502932 | 8.957904 | 4.253884 | 4.967560 | 8.183898 | 11.928594 | 0.9064 | 0.9353 | 0.1872 | 0.000000 | 0.000000 |
2459505 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.045997 | 1.041202 | 7.308748 | 10.640727 | -0.144934 | 4.297199 | 0.550307 | 1.749794 | 0.8894 | 0.8534 | 0.1987 | 23.980115 | 18.737690 |
2459503 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.828331 | 7.949846 | 9.217948 | 11.935164 | 12.241202 | 17.498600 | 2.770666 | 1.700217 | 0.8576 | 0.8445 | 0.4814 | 0.000000 | 0.000000 |
2459501 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 3.942356 | 5.680101 | 7.896246 | 9.754406 | 4.384270 | 6.933939 | 1.478741 | 0.366040 | 0.1141 | 0.1060 | 0.0174 | 0.000000 | 0.000000 |
2459500 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 5.764157 | 7.261430 | 8.609002 | 9.990953 | 8.477604 | 10.656442 | 0.496695 | 0.500547 | 0.0874 | 0.0912 | 0.0151 | 0.000000 | 0.000000 |
2459499 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 6.639366 | 8.756497 | 10.723285 | 12.455675 | 9.450132 | 11.005526 | 1.300620 | 5.699639 | 0.0674 | 0.0753 | 0.0063 | 0.000000 | 0.000000 |
2459498 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 6.782684 | 9.610118 | 8.506964 | 10.736122 | 8.441738 | 11.131324 | 5.406388 | 2.831381 | 0.0974 | 0.0881 | 0.0153 | 0.000000 | 0.000000 |
2459497 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 18.566641 | 18.997751 | 10.539762 | 8.701798 | 19.179503 | 19.074584 | 8.664095 | 9.233839 | 0.1225 | 0.0662 | 0.0199 | 0.000000 | 0.000000 |
2459496 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 8.638716 | 11.687021 | 8.669893 | 10.228129 | 8.612466 | 12.939084 | 2.817769 | 3.626663 | 0.1083 | 0.1241 | 0.0213 | 0.000000 | 0.000000 |
2459495 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 7.411731 | 9.878278 | 7.882536 | 9.533760 | 8.202731 | 10.610095 | 1.713379 | 1.195437 | 0.1270 | 0.1158 | 0.0229 | 0.000000 | 0.000000 |
2459494 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 7.652496 | 9.617022 | 9.231834 | 10.726574 | 8.157866 | 11.838901 | 2.433547 | 3.311825 | 0.1119 | 0.1183 | 0.0269 | 0.000000 | 0.000000 |
2459492 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.787786 | 1.238078 | 8.661275 | 12.067751 | -0.220988 | 0.685913 | 2.501540 | 3.931912 | 0.7498 | 0.7972 | 0.3486 | 6.401988 | 5.814898 |
2459491 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.850929 | 2.568502 | 8.894739 | 13.083183 | 1.272636 | 4.234646 | 1.017410 | 3.670682 | 0.7930 | 0.8134 | 0.2744 | 3.492392 | 2.612238 |
2459490 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.084265 | 1.244110 | 4.971040 | 13.232117 | 10.193530 | 1.870776 | 131.535872 | 3.688002 | 0.7149 | 0.7937 | 0.3969 | 4.327675 | 4.175685 |
2459489 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.325548 | 1.413794 | 8.604940 | 12.928111 | 0.112001 | 3.462486 | 3.100499 | 2.871465 | 0.7602 | 0.8018 | 0.3259 | 5.928576 | 4.395197 |
2459488 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.509759 | 0.419395 | 7.657188 | 10.957201 | -0.530994 | 1.547088 | 1.414604 | 2.951932 | 0.7591 | 0.8031 | 0.3659 | 0.000000 | 0.000000 |
auto_metrics
notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics
notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Variability | 29.926851 | 0.206368 | -0.192192 | -0.332963 | 0.104784 | 27.930843 | 29.926851 | 3.997371 | 13.394893 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 12.091700 | -0.032222 | -0.478867 | -0.869025 | 1.479937 | -0.791831 | -0.124868 | 0.239877 | 12.091700 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 5.690113 | -0.374100 | 0.016387 | -0.962420 | -0.251716 | 0.027194 | 0.078520 | 0.543224 | 5.690113 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 20.762213 | -0.119041 | -0.427095 | 0.594409 | -0.914008 | -0.139322 | 1.115154 | 20.762213 | 1.233446 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 11.849120 | 0.514181 | -0.244615 | 4.601941 | -0.913631 | 4.758278 | 0.296640 | 11.849120 | -0.380875 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 5.793302 | 0.141475 | -0.039028 | -0.418097 | 0.310414 | 0.648935 | 2.071274 | 0.276309 | 5.793302 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 12.623458 | -0.869332 | 0.262305 | -1.170647 | -0.900607 | 0.014504 | -0.302355 | 12.623458 | 0.662211 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 11.639585 | -0.136964 | -0.945275 | -0.484203 | -1.100731 | -0.651257 | -0.541393 | 0.841817 | 11.639585 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 6.936415 | 0.134972 | -0.431850 | -0.577616 | -1.018607 | -0.174465 | 0.215299 | 2.767001 | 6.936415 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 20.068174 | 0.033914 | -0.488951 | -0.688384 | -0.507893 | 0.689250 | 0.817261 | 0.486210 | 20.068174 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 9.969291 | -0.224481 | -0.550948 | -0.488219 | 0.446509 | -0.425550 | 0.158014 | -0.593621 | 9.969291 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 17.297328 | 0.453272 | 0.021799 | 1.763831 | -0.664413 | 1.637281 | -0.455246 | 17.297328 | 0.857505 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 30.144273 | 0.009338 | 1.136787 | -0.702076 | 1.533025 | 0.483985 | 1.511308 | 1.265172 | 30.144273 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 38.622391 | 0.301327 | 0.239243 | 0.583989 | -0.327942 | 0.320664 | 0.419233 | 38.622391 | 0.999075 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 18.928155 | -0.030790 | -0.038162 | -0.225868 | -0.549334 | 0.364229 | 6.409710 | 0.904273 | 18.928155 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 36.049869 | -0.372287 | -0.621807 | 0.179769 | -0.694306 | 0.245675 | 0.351669 | 36.049869 | 0.173384 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 17.247106 | -0.416020 | -0.214261 | -0.641202 | -0.492010 | -0.045370 | -0.083545 | 17.247106 | 0.120606 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 8.993927 | -0.995785 | -0.921265 | 0.247237 | -0.931438 | -0.192990 | -0.541752 | 8.993927 | 0.011222 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 5.631577 | -0.138378 | -0.213006 | 1.049677 | -0.831052 | 0.202546 | 0.285060 | 5.631577 | 0.325101 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 8.809668 | -0.107635 | -0.581024 | -0.780116 | 1.382941 | -0.313760 | 1.397135 | 0.022548 | 8.809668 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Power | 7.292613 | 0.242720 | 0.621428 | 0.112170 | 7.292613 | -0.109982 | 4.845354 | 1.491933 | 5.457988 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 12.980733 | -0.061699 | -1.514287 | 0.082876 | -0.973708 | -0.290400 | -0.533544 | 1.867718 | 12.980733 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 8.261625 | -1.132987 | 0.096158 | -0.966468 | -0.657419 | 0.010445 | -0.192043 | 8.261625 | 2.438453 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 7.319438 | -0.025859 | -0.895154 | -0.609918 | -0.443693 | -0.784351 | -0.292841 | 1.096618 | 7.319438 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 11.870229 | -0.461195 | 0.286156 | -0.896057 | 0.835683 | -0.390736 | 0.187103 | -0.341700 | 11.870229 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 8.440033 | -0.978237 | -0.040154 | -0.700923 | -0.926083 | 0.392784 | -0.934717 | 8.440033 | -0.518208 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 3.110447 | 0.639513 | 0.743478 | 0.648029 | -0.285618 | 0.144909 | -0.609458 | 0.527760 | 3.110447 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | nn Power | 1.276714 | 0.379837 | -0.587510 | 1.276714 | 0.605540 | 0.573150 | 0.064140 | 0.890782 | 0.640076 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 2.490789 | 0.056260 | 0.371540 | 1.100408 | 1.741147 | 0.382848 | 0.474645 | 2.490789 | 0.417518 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 4.552146 | -0.152248 | -0.341247 | 3.917833 | 2.310775 | 0.741254 | 0.838071 | 1.152480 | 4.552146 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 9.487123 | 0.217127 | -1.296848 | 2.199696 | 2.957954 | 1.049620 | 1.758122 | 9.487123 | -0.034498 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 6.078512 | -0.722702 | 0.337538 | -0.962815 | -0.065863 | -0.157719 | 0.978646 | 0.755171 | 6.078512 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 7.041366 | -0.003805 | -0.994092 | -0.091066 | -1.134167 | -0.149209 | -0.970661 | 0.504705 | 7.041366 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 7.207013 | -0.153729 | -0.222368 | -0.748493 | -0.787810 | -0.641507 | -0.941943 | 0.022234 | 7.207013 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 4.522033 | -0.316887 | -0.622870 | -0.863106 | -0.854846 | -1.043843 | -0.562042 | -0.192604 | 4.522033 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Variability | 0.471571 | -0.238781 | -0.563762 | -0.000451 | -0.910148 | 0.471571 | 0.444129 | 0.193776 | -0.024344 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 0.636363 | -0.987773 | -0.069978 | -1.134443 | -0.106724 | -1.260522 | -1.013891 | 0.636363 | 0.142250 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 11.996012 | 0.038751 | -1.223430 | -0.068500 | -0.957098 | -0.658824 | -0.386204 | 0.223226 | 11.996012 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 9.675270 | -0.257138 | -0.374794 | -0.979280 | -0.250307 | -1.104118 | 2.908639 | 0.702555 | 9.675270 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Variability | 30.813217 | 0.767562 | 0.818638 | 1.085453 | -0.545352 | 30.813217 | 2.435475 | 28.867181 | 6.268069 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 12.825318 | -0.444569 | 0.565357 | -0.750762 | 0.583595 | 0.007663 | 9.761693 | 0.069507 | 12.825318 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 12.254913 | -0.458934 | -0.719678 | -0.825480 | -0.862889 | 8.483731 | 0.822578 | 12.254913 | 1.159316 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 2.399663 | -0.681417 | -0.195082 | -0.475651 | -0.711030 | -0.640198 | -0.683128 | 0.013306 | 2.399663 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 3.550414 | -0.730813 | -0.213804 | -1.137742 | -0.281691 | -1.279105 | -0.561199 | 3.550414 | 0.433375 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 11.123086 | -0.412765 | -0.367191 | -0.841569 | -0.186838 | -0.361630 | -0.709198 | 11.123086 | 0.242312 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 11.931851 | -0.044086 | -0.370611 | -0.131339 | -1.010746 | -0.253298 | 0.209038 | 0.060989 | 11.931851 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 17.376883 | 0.092013 | -0.100430 | 0.209879 | -0.739871 | 1.101874 | -0.654662 | 17.376883 | -0.227356 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 13.099830 | -0.486887 | -0.217817 | -1.191591 | -0.383843 | 0.004271 | -1.088429 | 13.099830 | -0.148144 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 61.473931 | 1.543340 | 1.423959 | 0.802050 | 0.713161 | 9.835232 | 4.406216 | 61.473931 | 13.584630 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | Not Found | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 31.507257 | 2.620064 | 2.171732 | 2.061583 | 1.548395 | 3.569139 | 5.201288 | 31.507257 | 18.971904 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 5.888266 | 0.775349 | -0.279567 | -0.364901 | -1.156774 | -0.166799 | 1.168147 | 5.888266 | 0.713700 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 5.940182 | -0.410131 | -0.329379 | -0.531341 | -0.942631 | -0.220771 | -0.787118 | -0.037536 | 5.940182 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 8.783146 | 1.377866 | 2.284931 | 0.945854 | 1.562824 | 4.114922 | 3.274367 | 6.721725 | 8.783146 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 7.784642 | 1.341225 | 2.064363 | 0.928704 | 1.519018 | 0.341684 | 0.897933 | 5.666176 | 7.784642 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 5.947997 | 1.417834 | 2.565665 | 0.861403 | 1.838738 | 2.398477 | 1.525221 | 3.453231 | 5.947997 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 5.720091 | -0.232746 | 0.234855 | -1.014285 | 0.241928 | 1.673838 | -0.131769 | 0.567459 | 5.720091 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 2.450100 | 1.846094 | 0.961668 | 1.625057 | 0.947932 | 0.928817 | -0.124289 | 2.450100 | 2.207788 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 3.993876 | 0.675504 | 0.729246 | 0.659128 | 0.920891 | 0.176851 | -0.074304 | 1.045293 | 3.993876 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 9.064464 | 0.461305 | 0.424235 | 0.665093 | 0.928638 | 0.905486 | 2.061903 | 6.620189 | 9.064464 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 29.243726 | 0.731125 | 0.725429 | 0.731879 | 0.633811 | 0.617331 | 4.487241 | 5.139367 | 29.243726 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 31.574206 | 0.199469 | -0.114664 | 0.582570 | 0.529851 | 0.558376 | 16.018591 | 7.774457 | 31.574206 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | nn Temporal Discontinuties | 0.537338 | -0.635320 | -0.662364 | 0.245195 | -1.213601 | -0.468675 | -0.646820 | -0.220062 | 0.537338 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | nn Temporal Discontinuties | 9.554825 | 0.472835 | 0.100075 | 1.521370 | 0.812653 | 5.451017 | 5.897189 | 7.763265 | 9.554825 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 14.575254 | 0.216437 | 0.552314 | 0.652113 | 1.342614 | 5.399737 | 4.835965 | 14.114420 | 14.575254 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | nn Temporal Discontinuties | 19.131912 | 0.311973 | 0.588912 | 1.131301 | 0.778839 | 6.140444 | 9.231478 | 18.878903 | 19.131912 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | nn Temporal Discontinuties | 23.417676 | -0.693682 | 0.575900 | -0.316435 | 0.529312 | 21.127630 | 5.173837 | 20.760769 | 23.417676 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 40.337948 | -0.690911 | 0.419358 | -0.262824 | 0.971586 | 7.053429 | 10.212453 | 40.337948 | 30.179585 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 7.978095 | 0.607330 | -0.449455 | 2.377099 | -1.009196 | 1.686614 | -0.738102 | 7.978095 | -0.153792 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | nn Temporal Discontinuties | 29.695861 | 0.607828 | 0.304079 | 1.450398 | -0.597406 | 8.288545 | 6.183597 | 29.695861 | 22.267968 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Variability | 7.087522 | -0.396737 | 3.372160 | -0.985496 | 6.829265 | -0.966718 | 7.087522 | -0.108461 | 3.017154 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 13.984840 | 0.271591 | -0.088252 | 0.641481 | 0.341924 | 1.484260 | 3.148339 | 13.212038 | 13.984840 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | digital_ok | ee Temporal Discontinuties | 24.220304 | 0.349237 | 0.061621 | 1.219062 | 0.724070 | 6.275245 | 7.874025 | 17.795641 | 24.220304 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Power | 0.905467 | -0.285236 | -0.518280 | 0.905467 | -1.117050 | 0.001598 | -0.703156 | -0.857401 | 0.459807 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Temporal Discontinuties | 16.135337 | -0.214664 | -0.051950 | -0.467590 | -0.751342 | -0.944523 | -1.202761 | 14.722490 | 16.135337 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Temporal Variability | 20.501281 | 0.350945 | -0.132171 | 1.416775 | 0.682458 | 0.784845 | 20.501281 | 14.899576 | 18.313986 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Temporal Discontinuties | 83.358945 | 1.224047 | 0.184823 | 2.599722 | -0.603890 | 6.550653 | 5.655389 | 36.402621 | 83.358945 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Temporal Discontinuties | 14.045365 | 1.223211 | 0.839061 | 3.732534 | 3.964548 | 11.225033 | 11.992546 | 13.949494 | 14.045365 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Temporal Discontinuties | 7.630305 | -0.866265 | -0.046109 | 0.396082 | -1.047185 | 0.217010 | -0.300448 | 7.630305 | 0.832152 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Temporal Discontinuties | 25.768123 | 0.120811 | -0.534635 | -0.726394 | -0.783358 | -1.158210 | 1.910033 | 1.508107 | 25.768123 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | nn Temporal Discontinuties | 317.510342 | 86.681934 | 86.681934 | 76.948327 | 76.948327 | 80.483240 | 80.483240 | 317.510342 | 317.510342 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Temporal Discontinuties | 863.944984 | 256.807998 | 256.807998 | 254.804328 | 254.804328 | 261.868637 | 261.868637 | 863.944984 | 863.944984 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | N01 | RF_maintenance | ee Temporal Discontinuties | 5.298914 | -0.740497 | -0.677710 | -1.011855 | 0.738952 | -0.982789 | 5.013539 | -0.353559 | 5.298914 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | 1 | RF_maintenance | ee Temporal Discontinuties | 7.644550 | 0.150418 | 0.231014 | 6.136835 | -0.871347 | 5.054348 | -1.034884 | 7.644550 | -0.703363 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | 1 | RF_maintenance | ee Power | 2.742860 | -0.405437 | -0.133670 | 2.742860 | -0.845785 | 0.685928 | -0.484901 | 2.408076 | -0.613257 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | 1 | RF_maintenance | ee Power | 5.496947 | -0.086494 | -0.332541 | 5.496947 | -1.090669 | 1.804599 | -1.180216 | 3.685375 | 1.060107 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | 1 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
30 | 1 | RF_maintenance | ee Power | 3.185906 | 0.191862 | -0.035463 | 3.185906 | -0.780725 | 2.892266 | -0.448219 | 2.814909 | 0.345096 |