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 = "117" 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% | 4.08% | 0.00% | 100.00% | 0.00% | 0.734919 | 0.687022 | 5.460434 | 5.576472 | 2.022948 | -0.100511 | -0.493427 | -1.505872 | 0.8098 | 0.5434 | 0.5951 | 2.768355 | 2.334286 |
2459808 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.840774 | 2.852999 | 6.258874 | 6.627884 | 2.808368 | 3.460181 | -1.263565 | -1.685935 | 0.7925 | 0.7348 | 0.4802 | 5.453508 | 5.818526 |
2459807 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.616556 | 3.252085 | 4.575282 | 4.563470 | 3.474236 | 3.514751 | -2.422754 | -2.486888 | 0.7776 | 0.7135 | 0.4787 | 5.406003 | 6.589484 |
2459806 | 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 |
2459805 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.981884 | 2.821068 | 5.967644 | 6.286143 | 2.542952 | 3.193119 | -0.750514 | -1.356140 | 0.7849 | 0.7342 | 0.4761 | 5.756962 | 6.678847 |
2459804 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.377341 | 3.293333 | 5.575690 | 5.395489 | 2.432490 | 2.697356 | -1.057953 | -1.167804 | 0.7776 | 0.7261 | 0.4674 | 4.232447 | 4.167854 |
2459803 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.962293 | 4.238189 | 7.605403 | 7.730504 | 2.519467 | 2.809776 | -1.725736 | -2.005072 | 0.7599 | 0.7175 | 0.4529 | 5.238622 | 5.670868 |
2459802 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.424948 | 3.411258 | 6.188000 | 5.850920 | 4.488872 | 4.675670 | -1.159471 | -1.384728 | 0.7676 | 0.6213 | 0.5124 | 4.640374 | 4.744524 |
2459801 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.275175 | 3.490976 | 5.124829 | 5.254556 | 4.162591 | 4.867847 | -2.024756 | -2.347669 | 0.7757 | 0.7072 | 0.4693 | 10.080132 | 12.081229 |
2459800 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.926086 | 3.968525 | 4.597515 | 4.821917 | 2.533811 | 1.997234 | -1.824554 | -2.510896 | 0.7456 | 0.7183 | 0.4283 | 7.910223 | 9.753416 |
2459799 | 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 |
2459798 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.901580 | 3.331446 | 4.767734 | 4.895306 | 1.931876 | 1.404588 | -1.618247 | -1.976311 | 0.7223 | 0.6967 | 0.4250 | 6.037405 | 5.935787 |
2459797 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.815363 | 3.048569 | 5.051353 | 5.131485 | 3.478722 | 2.375446 | -1.743639 | -2.111077 | 0.7203 | 0.6975 | 0.4181 | 7.314958 | 6.303703 |
2459796 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.057242 | 3.025489 | 7.207296 | 6.709757 | 2.828135 | 1.899882 | -1.300680 | -2.126489 | 0.7061 | 0.6866 | 0.4068 | 0.000000 | 0.000000 |
2459795 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.089620 | 3.734610 | 5.332228 | 4.875037 | 2.816446 | 1.961849 | -1.837339 | -2.299775 | 0.7048 | 0.6896 | 0.4172 | 19.026323 | 17.397593 |
2459794 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.091472 | 3.523828 | 9.686090 | 5.392616 | 9.152015 | 2.835910 | -2.498010 | -2.977253 | 0.7061 | 0.6949 | 0.4090 | 0.000000 | 0.000000 |
2459793 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.956887 | 2.949345 | 9.077473 | 4.701317 | 9.075933 | 2.439373 | -1.837544 | -1.927894 | 0.6948 | 0.6873 | 0.4073 | 25.630688 | 22.193038 |
2459792 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 13.892167 | 2.925513 | 22.826741 | 6.719755 | 30.601108 | 5.581405 | -1.513056 | -1.109375 | 0.7314 | 0.6513 | 0.4100 | 5.322822 | 5.683935 |
2459791 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 281.567965 | 281.608853 | inf | inf | 1251.401721 | 1245.211796 | 1180.327285 | 1225.174932 | nan | nan | nan | 0.000000 | 0.000000 |
2459790 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.391695 | 6.369007 | 7.150999 | 7.585480 | 7.230270 | 6.835374 | -1.296104 | -1.687817 | 0.6630 | 0.6546 | 0.4069 | 3.937552 | 4.090767 |
2459789 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.212056 | 5.701069 | 9.441420 | 7.317835 | 9.759323 | 5.641839 | -2.160385 | -3.242996 | 0.6591 | 0.6524 | 0.3933 | 0.000000 | 0.000000 |
2459788 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.849648 | 4.308701 | 9.752530 | 7.759035 | 10.879023 | 6.438818 | -1.434227 | -1.710854 | 0.6374 | 0.6326 | 0.3798 | 6.330491 | 6.229627 |
2459787 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.318550 | 3.837693 | 7.707756 | 6.429290 | 6.494522 | 3.931779 | -1.383967 | -1.708821 | 0.6440 | 0.6405 | 0.3790 | 11.243866 | 11.541718 |
2459786 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.194415 | 4.473049 | 10.740342 | 8.237814 | 12.278169 | 6.714166 | -1.737366 | -1.847885 | 0.6230 | 0.6215 | 0.3645 | 2.850923 | 3.190933 |
2459785 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.137675 | 3.222994 | 14.814338 | 15.850247 | 9.149060 | 9.033434 | -0.956665 | -1.316597 | 0.7341 | 0.6524 | 0.4189 | 3.028450 | 2.587731 |
2459784 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.914584 | 5.279353 | 11.516980 | 12.894412 | 10.729353 | 10.527487 | -1.180499 | -1.574998 | 0.5888 | 0.5900 | 0.3462 | 4.139485 | 4.130079 |
2459783 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.118062 | 3.046261 | 2.452005 | 2.151115 | 3.093802 | 2.346974 | -1.722464 | -1.947466 | 0.5652 | 0.5650 | 0.3271 | 1.566038 | 1.500657 |
2459782 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.626847 | 3.362147 | 1.434753 | 1.127108 | 1.711965 | 1.282586 | -1.622277 | -1.751650 | 0.5453 | 0.5479 | 0.3223 | 1.705163 | 1.700652 |
2459781 | digital_ok | 100.00% | 49.15% | 49.15% | 0.00% | 100.00% | 0.00% | -0.993625 | -0.871464 | -0.796719 | -0.798767 | 15.216788 | 15.279742 | -1.379195 | -1.576006 | 0.6967 | 0.6779 | 0.4356 | 2.308937 | 2.374587 |
2459778 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.60% | 2.070087 | 1.757995 | 1.738500 | 1.600468 | 2.498335 | 2.076315 | -1.799941 | -2.012754 | 0.7027 | 0.6163 | 0.4178 | 1.896021 | 1.739439 |
2459776 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.41% | 0.00% | 0.619416 | 0.467278 | 1.558647 | 2.139623 | 1.270757 | 0.643189 | -1.782338 | -2.658929 | 0.7455 | 0.6562 | 0.4129 | 2.003421 | 1.644375 |
2459774 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7310 | 0.6503 | 0.3949 | nan | nan |
2459773 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.296166 | 0.547373 | 4.554786 | 0.797298 | 4.694045 | 0.909322 | -2.162583 | -1.223881 | 0.5154 | 0.5293 | 0.2910 | 5.986921 | 8.511369 |
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.570646 | -0.755834 | 0.031425 | -0.936100 | -0.395591 | -1.026262 | -1.371480 | -0.642298 | 0.7235 | 0.6349 | 0.3947 | 1.960744 | 1.602154 |
2459770 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.63% | 2.63% | 1.819008 | -0.028295 | 3.209023 | -0.063069 | 2.991209 | 0.189947 | -1.965047 | -1.246493 | 0.5078 | 0.5196 | 0.2913 | 1.306103 | 1.320753 |
2459769 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.990498 | 0.350779 | 4.627752 | 0.469437 | 3.424894 | 0.112716 | -1.623658 | -1.116040 | 0.5039 | 0.5154 | 0.2960 | 3.000839 | 3.290617 |
2459768 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.983904 | 6.476786 | 12.977948 | 10.921546 | 12.718322 | 8.954015 | -4.675239 | -4.413766 | 0.4898 | 0.4989 | 0.2898 | 3.398618 | 3.481603 |
2459767 | 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 |
2459766 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.190889 | -0.535132 | -0.158816 | -0.875718 | -1.363568 | -1.009100 | -1.359508 | -0.792614 | 0.5263 | 0.5392 | 0.3087 | 1.480628 | 1.520371 |
2459765 | 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 |
2459764 | digital_ok | - | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459763 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.552727 | 0.441943 | 1.728116 | -0.368824 | -0.261666 | -0.569817 | -0.669686 | -0.700742 | 0.7330 | 0.6537 | 0.4576 | 1.913288 | 1.597389 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 5.576472 | 0.687022 | 0.734919 | 5.576472 | 5.460434 | -0.100511 | 2.022948 | -1.505872 | -0.493427 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 6.627884 | 2.852999 | 2.840774 | 6.627884 | 6.258874 | 3.460181 | 2.808368 | -1.685935 | -1.263565 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 4.575282 | 3.252085 | 3.616556 | 4.563470 | 4.575282 | 3.514751 | 3.474236 | -2.486888 | -2.422754 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 6.286143 | 2.981884 | 2.821068 | 5.967644 | 6.286143 | 2.542952 | 3.193119 | -0.750514 | -1.356140 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 5.575690 | 3.293333 | 3.377341 | 5.395489 | 5.575690 | 2.697356 | 2.432490 | -1.167804 | -1.057953 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 7.730504 | 3.962293 | 4.238189 | 7.605403 | 7.730504 | 2.519467 | 2.809776 | -1.725736 | -2.005072 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 6.188000 | 3.411258 | 3.424948 | 5.850920 | 6.188000 | 4.675670 | 4.488872 | -1.384728 | -1.159471 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 5.254556 | 3.490976 | 3.275175 | 5.254556 | 5.124829 | 4.867847 | 4.162591 | -2.347669 | -2.024756 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 4.821917 | 3.968525 | 2.926086 | 4.821917 | 4.597515 | 1.997234 | 2.533811 | -2.510896 | -1.824554 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 4.895306 | 2.901580 | 3.331446 | 4.767734 | 4.895306 | 1.931876 | 1.404588 | -1.618247 | -1.976311 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 5.131485 | 3.048569 | 2.815363 | 5.131485 | 5.051353 | 2.375446 | 3.478722 | -2.111077 | -1.743639 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 7.207296 | 3.057242 | 3.025489 | 7.207296 | 6.709757 | 2.828135 | 1.899882 | -1.300680 | -2.126489 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 5.332228 | 3.734610 | 3.089620 | 4.875037 | 5.332228 | 1.961849 | 2.816446 | -2.299775 | -1.837339 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 9.686090 | 6.091472 | 3.523828 | 9.686090 | 5.392616 | 9.152015 | 2.835910 | -2.498010 | -2.977253 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 9.077473 | 4.956887 | 2.949345 | 9.077473 | 4.701317 | 9.075933 | 2.439373 | -1.837544 | -1.927894 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Temporal Variability | 30.601108 | 13.892167 | 2.925513 | 22.826741 | 6.719755 | 30.601108 | 5.581405 | -1.513056 | -1.109375 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | inf | 281.567965 | 281.608853 | inf | inf | 1251.401721 | 1245.211796 | 1180.327285 | 1225.174932 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 7.585480 | 6.369007 | 5.391695 | 7.585480 | 7.150999 | 6.835374 | 7.230270 | -1.687817 | -1.296104 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Temporal Variability | 9.759323 | 5.701069 | 5.212056 | 7.317835 | 9.441420 | 5.641839 | 9.759323 | -3.242996 | -2.160385 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Temporal Variability | 10.879023 | 4.308701 | 4.849648 | 7.759035 | 9.752530 | 6.438818 | 10.879023 | -1.710854 | -1.434227 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 7.707756 | 4.318550 | 3.837693 | 7.707756 | 6.429290 | 6.494522 | 3.931779 | -1.383967 | -1.708821 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Temporal Variability | 12.278169 | 4.473049 | 5.194415 | 8.237814 | 10.740342 | 6.714166 | 12.278169 | -1.847885 | -1.737366 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 15.850247 | 3.222994 | 3.137675 | 15.850247 | 14.814338 | 9.033434 | 9.149060 | -1.316597 | -0.956665 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 12.894412 | 3.914584 | 5.279353 | 11.516980 | 12.894412 | 10.729353 | 10.527487 | -1.180499 | -1.574998 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Shape | 3.118062 | 3.046261 | 3.118062 | 2.151115 | 2.452005 | 2.346974 | 3.093802 | -1.947466 | -1.722464 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Shape | 3.626847 | 3.362147 | 3.626847 | 1.127108 | 1.434753 | 1.282586 | 1.711965 | -1.751650 | -1.622277 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Temporal Variability | 15.279742 | -0.993625 | -0.871464 | -0.796719 | -0.798767 | 15.216788 | 15.279742 | -1.379195 | -1.576006 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Temporal Variability | 2.498335 | 1.757995 | 2.070087 | 1.600468 | 1.738500 | 2.076315 | 2.498335 | -2.012754 | -1.799941 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | nn Power | 2.139623 | 0.619416 | 0.467278 | 1.558647 | 2.139623 | 1.270757 | 0.643189 | -1.782338 | -2.658929 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Temporal Variability | 4.694045 | 0.547373 | 2.296166 | 0.797298 | 4.554786 | 0.909322 | 4.694045 | -1.223881 | -2.162583 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Shape | 0.570646 | -0.755834 | 0.570646 | -0.936100 | 0.031425 | -1.026262 | -0.395591 | -0.642298 | -1.371480 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 3.209023 | -0.028295 | 1.819008 | -0.063069 | 3.209023 | 0.189947 | 2.991209 | -1.246493 | -1.965047 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 4.627752 | 0.350779 | 1.990498 | 0.469437 | 4.627752 | 0.112716 | 3.424894 | -1.116040 | -1.623658 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 12.977948 | 7.983904 | 6.476786 | 12.977948 | 10.921546 | 12.718322 | 8.954015 | -4.675239 | -4.413766 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | -0.158816 | -0.535132 | -0.190889 | -0.875718 | -0.158816 | -1.009100 | -1.363568 | -0.792614 | -1.359508 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
117 | N07 | digital_ok | ee Power | 1.728116 | 1.552727 | 0.441943 | 1.728116 | -0.368824 | -0.261666 | -0.569817 | -0.669686 | -0.700742 |