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 = "3" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_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 143 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 143 auto_metrics notebooks in /home/obs/src/H6C_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) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2460136 | digital_ok | 0.00% | 25.07% | 100.00% | 0.00% | - | - | -0.135588 | -0.443024 | -0.142434 | -1.168539 | 0.088505 | -1.103863 | -0.101821 | -0.810045 | 0.2293 | 0.0841 | 0.1671 | nan | nan |
2460135 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.089691 | -0.654152 | 0.046325 | -0.976883 | 0.222781 | -0.607114 | 0.404360 | -0.146947 | 0.6916 | 0.5883 | 0.4246 | nan | nan |
2460134 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.334074 | -0.441556 | 0.059816 | -0.850802 | 0.513580 | -0.227902 | 0.137266 | -0.330922 | 0.8160 | 0.5232 | 0.6070 | nan | nan |
2460133 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.249017 | -0.176780 | 0.311208 | -0.647180 | 0.643800 | 0.296714 | 0.238342 | -0.275819 | 0.8093 | 0.5218 | 0.5956 | nan | nan |
2460132 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.401119 | -0.269802 | 0.097472 | -0.797116 | 0.629098 | -0.080890 | 0.004071 | -0.308664 | 0.8041 | 0.5179 | 0.5838 | nan | nan |
2460131 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.437995 | -0.439558 | 0.108444 | -0.898096 | 0.509299 | -0.440291 | 0.044471 | -0.391064 | 0.7992 | 0.5231 | 0.5743 | nan | nan |
2460130 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.408875 | -0.382534 | 0.147623 | -0.815293 | 0.592231 | -0.231568 | 0.017967 | -0.382930 | 0.7917 | 0.5213 | 0.5683 | nan | nan |
2460129 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.369710 | -0.442191 | 0.172444 | -0.774353 | 0.627706 | -0.264745 | 0.072330 | -0.337082 | 0.7860 | 0.5236 | 0.5646 | nan | nan |
2460128 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.044650 | -0.534469 | 0.134295 | -0.964032 | 0.584648 | -0.512089 | -0.088812 | -0.510556 | 0.6761 | 0.5640 | 0.4269 | nan | nan |
2460127 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2460126 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.360469 | -0.740036 | -0.038847 | -0.980949 | 0.334660 | -0.650093 | 0.014237 | -0.393106 | 0.7481 | 0.5210 | 0.5024 | nan | nan |
2460125 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.270271 | -0.698911 | 0.103512 | -0.987968 | 0.397105 | -0.627770 | 0.055377 | -0.496108 | 0.7405 | 0.5167 | 0.5096 | nan | nan |
2460124 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.049190 | -0.828684 | -0.519807 | -0.939334 | -0.065592 | -0.413871 | -0.323568 | -0.467157 | 0.7306 | 0.5160 | 0.5262 | nan | nan |
2460123 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.834137 | -0.764326 | -0.536027 | -0.927768 | -0.156969 | -0.590167 | -0.218161 | -0.428975 | 0.7477 | 0.5440 | 0.5340 | nan | nan |
2460122 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2460121 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.017648 | -0.513251 | 0.009655 | -0.979289 | 0.471574 | -0.637466 | -0.054920 | -0.478863 | 0.6974 | 0.5988 | 0.4451 | nan | nan |
2460120 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.148588 | -0.677732 | 0.050147 | -1.089386 | 0.298129 | -0.666616 | 0.022941 | -0.504837 | 0.7573 | 0.5912 | 0.5320 | nan | nan |
2460119 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.192051 | -0.793791 | 0.025757 | -1.150283 | 0.194546 | -0.813845 | 0.184891 | -0.529503 | 0.7637 | 0.6113 | 0.5325 | nan | nan |
2460118 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.192301 | -0.355464 | 0.193930 | -0.909013 | 0.417960 | -0.634903 | 0.106728 | -0.453727 | 0.7484 | 0.5773 | 0.4695 | nan | nan |
2460117 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7976 | 0.6868 | 0.4249 | nan | nan |
2460116 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.065794 | -0.436012 | -0.368996 | -0.537756 | -0.133661 | -1.199395 | 0.026367 | -0.920132 | 0.7601 | 0.6062 | 0.5371 | nan | nan |
2460113 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.112542 | -0.943972 | -0.038355 | -1.197746 | 0.179891 | -0.890441 | -0.046290 | -0.622879 | 0.7718 | 0.7394 | 0.5287 | nan | nan |
2460112 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.071331 | -0.888217 | 0.038050 | -1.101318 | 0.317144 | -0.741142 | 0.223180 | -0.493257 | 0.7313 | 0.6087 | 0.5132 | nan | nan |
2460111 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2460110 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.788366 | -1.168729 | -0.609111 | -1.065987 | -0.157668 | -0.583130 | -0.405037 | -0.442839 | 0.7225 | 0.6430 | 0.4932 | nan | nan |
2460109 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.108546 | -0.902492 | -0.058199 | -1.266148 | 0.180106 | -1.081887 | 0.169221 | -0.583714 | 0.7434 | 0.6725 | 0.4437 | nan | nan |
2460108 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2460106 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.104370 | -0.613317 | -0.067176 | -1.132201 | 0.237294 | -0.606752 | 0.316970 | -0.554723 | 0.7168 | 0.6709 | 0.4777 | nan | nan |
2460105 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.041244 | -0.716055 | 0.096340 | -0.982376 | 0.267099 | -0.511503 | 0.210524 | -0.499915 | 0.6903 | 0.6355 | 0.4521 | nan | nan |
2460104 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.125915 | -0.859198 | 0.225776 | -1.013796 | 0.359307 | -0.674119 | 0.300429 | -0.611964 | 0.6554 | 0.6067 | 0.4338 | nan | nan |
2460102 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.505919 | -0.919402 | 0.099820 | -1.226909 | 0.469421 | -1.121248 | 0.389544 | -0.705303 | 0.7024 | 0.6600 | 0.4484 | nan | nan |
2460101 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 0.148398 | -0.648637 | 0.166599 | -0.865332 | 0.399067 | -0.454769 | 0.498111 | -0.275312 | 0.6853 | 0.6469 | 0.5030 | nan | nan |
2460033 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.647087 | 13.102603 | 0.199265 | 11.260123 | 1.020086 | 4.096279 | -0.198727 | 1.817676 | 0.5472 | 0.0496 | 0.4795 | nan | nan |
2460032 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.629956 | 12.507525 | 0.368847 | 12.794925 | 1.195300 | 5.565527 | -0.787907 | 0.893303 | 0.5398 | 0.0447 | 0.4734 | nan | nan |
2460031 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.588815 | 11.743852 | 0.324350 | 11.243443 | 0.919549 | 4.066329 | -0.402991 | 1.538642 | 0.5354 | 0.0411 | 0.4643 | nan | nan |
2460030 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.411103 | 12.009081 | 0.268713 | 10.713430 | 0.886777 | 3.460892 | -0.399841 | 1.311727 | 0.5428 | 0.0469 | 0.4735 | nan | nan |
2460029 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.428027 | 12.684005 | 0.267049 | 10.087767 | 0.633215 | 3.809426 | -0.395381 | 1.893626 | 0.5348 | 0.0428 | 0.4604 | nan | nan |
2460028 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.304424 | 11.141163 | 0.388967 | 9.896114 | 0.378268 | 2.711228 | 0.467872 | 1.610543 | 0.7004 | 0.0504 | 0.6175 | nan | nan |
2460027 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.140979 | 13.484792 | 0.395134 | 10.876831 | 0.330106 | 3.307556 | 0.915370 | 1.870862 | 0.6530 | 0.0439 | 0.5757 | nan | nan |
2460026 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | -0.108770 | 13.467374 | 0.485643 | 10.867247 | 0.348745 | 2.197901 | 0.998305 | 1.393061 | 0.7251 | 0.0466 | 0.6389 | nan | nan |
2460025 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.700325 | 13.639772 | 0.322370 | 11.341105 | 0.703004 | 5.062694 | -0.442169 | 2.108857 | 0.5385 | 0.0373 | 0.4741 | nan | nan |
2460024 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.617233 | 12.702849 | 0.344933 | 11.070606 | 0.631017 | 4.195381 | -0.481062 | 2.306550 | 0.5542 | 0.0483 | 0.4808 | nan | nan |
2460023 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.657593 | 14.718349 | 0.358821 | 11.909390 | 0.738236 | 7.714398 | -0.502959 | 2.018704 | 0.5438 | 0.0393 | 0.4725 | nan | nan |
2460021 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.701192 | 14.981176 | 0.362243 | 12.197608 | 0.430915 | 7.544746 | -0.649504 | 2.851966 | 0.6038 | 0.0537 | 0.5244 | nan | nan |
2460020 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.637028 | 15.596376 | 0.414258 | 12.500180 | 0.428537 | 7.652913 | -0.516045 | 0.781640 | 0.5399 | 0.0360 | 0.4752 | nan | nan |
2460019 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.767654 | 16.734324 | 0.304853 | 12.580162 | 0.440484 | 7.612107 | -0.136415 | 1.706042 | 0.5520 | 0.0390 | 0.4862 | nan | nan |
2460018 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.655014 | 15.495830 | 0.434008 | 12.119271 | 0.780509 | 7.643046 | 1.079118 | 3.442981 | 0.5860 | 0.0417 | 0.5178 | nan | nan |
2460017 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.007285 | 13.321359 | 0.112639 | 10.300872 | 1.123122 | 8.765206 | -0.503069 | 1.071276 | 0.5480 | 0.0387 | 0.4818 | nan | nan |
2460016 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.077938 | 15.073675 | 0.162460 | 11.294867 | 0.978294 | 6.558863 | -0.630285 | 1.661315 | 0.5555 | 0.0405 | 0.4932 | nan | nan |
2460015 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.164125 | 15.477018 | 0.187080 | 11.687062 | 0.745048 | 6.958321 | -0.485032 | 1.366543 | 0.5669 | 0.0454 | 0.5043 | nan | nan |
2460014 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.313226 | 13.100516 | 0.027382 | 8.816016 | 0.228533 | 10.423485 | -0.689128 | 0.908329 | 0.5488 | 0.0387 | 0.4861 | nan | nan |
2460013 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 11.193853 | 15.507202 | -0.034386 | 11.617946 | 5.662298 | 7.096236 | -0.119659 | 2.220231 | 0.3155 | 0.0395 | 0.2579 | nan | nan |
2460012 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 13.086973 | 14.549915 | -0.105660 | 11.448944 | 5.868540 | 7.683555 | 0.736146 | 2.544700 | 0.3121 | 0.0396 | 0.2542 | nan | nan |
2460011 | digital_ok | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 13.762229 | 15.658167 | -0.361735 | 15.327583 | 10.510953 | 15.890223 | 0.595657 | 2.235214 | 0.3132 | 0.0405 | 0.2462 | nan | nan |
2460010 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.636325 | 17.079683 | 11.703031 | 12.692505 | 9.135963 | 10.435400 | 1.292592 | 1.916768 | 0.0272 | 0.0251 | 0.0020 | nan | nan |
2460009 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.701371 | 15.828349 | 13.042572 | 13.971899 | 7.248571 | 8.800001 | 0.914140 | 2.056666 | 0.0284 | 0.0297 | 0.0021 | nan | nan |
2460008 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 14.177344 | 19.315977 | 14.282526 | 15.384078 | 6.585775 | 7.744829 | 4.475085 | 5.442940 | 0.0293 | 0.0325 | 0.0039 | nan | nan |
2460007 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.511609 | 14.457762 | 11.170376 | 12.030477 | 5.858751 | 7.187026 | 1.581698 | 2.256676 | 0.0288 | 0.0309 | 0.0028 | nan | nan |
2459999 | digital_ok | 0.00% | 100.00% | 99.92% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0285 | 0.0287 | 0.0017 | nan | nan |
2459998 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 8.936531 | 12.266897 | 9.555272 | 10.177354 | 7.851481 | 10.152247 | 0.699884 | 1.555373 | 0.0294 | 0.0307 | 0.0022 | nan | nan |
2459997 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.796582 | 13.373339 | 10.124122 | 10.937332 | 7.639939 | 9.568962 | 2.498469 | 3.252955 | 0.0288 | 0.0315 | 0.0031 | nan | nan |
2459996 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.867127 | 14.402133 | 12.701402 | 13.387460 | 7.204115 | 9.215343 | 0.401677 | 1.028140 | 0.0295 | 0.0311 | 0.0024 | nan | nan |
2459995 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.086859 | 14.607617 | 11.802178 | 12.586658 | 7.894341 | 9.422113 | 0.338363 | 0.870221 | 0.0308 | 0.0358 | 0.0054 | nan | nan |
2459994 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.629772 | 14.156188 | 10.190057 | 11.027847 | 7.682337 | 9.491822 | 0.260149 | 0.600638 | 0.0297 | 0.0316 | 0.0027 | nan | nan |
2459993 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.779451 | 13.304223 | 9.473089 | 10.227988 | 10.069923 | 10.885963 | 0.784779 | 2.118567 | 0.0286 | 0.0280 | 0.0011 | nan | nan |
2459991 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.627323 | 16.501330 | 10.041473 | 10.823606 | 9.083055 | 10.725615 | 0.247238 | 0.602029 | 0.0295 | 0.0311 | 0.0024 | nan | nan |
2459990 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.249252 | 13.591696 | 9.835656 | 10.513639 | 8.988087 | 11.003096 | 0.107125 | 0.333668 | 0.0306 | 0.0337 | 0.0039 | nan | nan |
2459989 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.021929 | 13.798539 | 8.752737 | 9.610649 | 7.936443 | 9.224220 | -0.112367 | 0.158846 | 0.0293 | 0.0307 | 0.0022 | nan | nan |
2459988 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459987 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.873177 | 13.500845 | 9.828621 | 10.662675 | 6.319746 | 7.940419 | 0.727201 | 1.651845 | 0.0299 | 0.0326 | 0.0032 | nan | nan |
2459986 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 12.378246 | 16.560663 | 10.768446 | 11.508187 | 9.285808 | 11.213822 | 5.424803 | 9.473313 | 0.0293 | 0.0314 | 0.0028 | nan | nan |
2459985 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 11.343057 | 14.985243 | 9.974267 | 10.719051 | 7.156198 | 8.578457 | 1.038693 | 1.641559 | 0.0291 | 0.0310 | 0.0024 | nan | nan |
2459984 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.726023 | 14.401620 | 10.321377 | 11.101668 | 9.391122 | 12.064181 | 2.367805 | 2.960199 | 0.0300 | 0.0328 | 0.0035 | nan | nan |
2459983 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.567675 | 14.099277 | 9.910680 | 10.517037 | 9.193554 | 11.128224 | 2.818204 | 5.982450 | 0.0305 | 0.0325 | 0.0028 | nan | nan |
2459982 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.194973 | 11.417059 | 8.409544 | 8.983374 | 4.479884 | 5.250528 | 2.389768 | 3.158011 | 0.0298 | 0.0315 | 0.0026 | nan | nan |
2459981 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.866232 | 12.995503 | 10.569946 | 11.193192 | 10.344184 | 12.322539 | 0.254460 | 0.706532 | 0.0307 | 0.0337 | 0.0036 | nan | nan |
2459980 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 9.692546 | 12.529826 | 9.495564 | 10.227343 | 8.931582 | 10.754345 | 5.064086 | 5.219430 | 0.0299 | 0.0327 | 0.0034 | nan | nan |
2459979 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.071969 | 13.079559 | 8.801147 | 9.572651 | 8.862525 | 10.085197 | 0.372038 | 0.801409 | 0.0314 | 0.0318 | 0.0028 | nan | nan |
2459978 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 10.177085 | 12.407852 | 9.557122 | -0.813959 | 9.259305 | 4.199990 | -0.004669 | 12.283545 | 0.0315 | 0.3253 | 0.2614 | nan | nan |
2459977 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 10.462066 | 12.956305 | 9.382386 | -0.149740 | 9.126398 | 7.392267 | 0.051887 | 5.689491 | 0.0329 | 0.3021 | 0.2371 | nan | nan |
2459976 | digital_ok | 100.00% | 100.00% | 0.00% | 0.00% | - | - | 10.387247 | 13.216001 | 9.877424 | -0.295822 | 9.318820 | 4.253448 | 0.826206 | 5.666309 | 0.0318 | 0.3308 | 0.2635 | nan | nan |
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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.088505 | -0.443024 | -0.135588 | -1.168539 | -0.142434 | -1.103863 | 0.088505 | -0.810045 | -0.101821 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Discontinuties | 0.404360 | -0.654152 | -0.089691 | -0.976883 | 0.046325 | -0.607114 | 0.222781 | -0.146947 | 0.404360 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.513580 | -0.441556 | -0.334074 | -0.850802 | 0.059816 | -0.227902 | 0.513580 | -0.330922 | 0.137266 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.643800 | -0.176780 | -0.249017 | -0.647180 | 0.311208 | 0.296714 | 0.643800 | -0.275819 | 0.238342 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.629098 | -0.401119 | -0.269802 | 0.097472 | -0.797116 | 0.629098 | -0.080890 | 0.004071 | -0.308664 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.509299 | -0.439558 | -0.437995 | -0.898096 | 0.108444 | -0.440291 | 0.509299 | -0.391064 | 0.044471 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.592231 | -0.408875 | -0.382534 | 0.147623 | -0.815293 | 0.592231 | -0.231568 | 0.017967 | -0.382930 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.627706 | -0.442191 | -0.369710 | -0.774353 | 0.172444 | -0.264745 | 0.627706 | -0.337082 | 0.072330 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.584648 | -0.044650 | -0.534469 | 0.134295 | -0.964032 | 0.584648 | -0.512089 | -0.088812 | -0.510556 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.334660 | -0.360469 | -0.740036 | -0.038847 | -0.980949 | 0.334660 | -0.650093 | 0.014237 | -0.393106 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.397105 | -0.698911 | -0.270271 | -0.987968 | 0.103512 | -0.627770 | 0.397105 | -0.496108 | 0.055377 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | -0.065592 | -1.049190 | -0.828684 | -0.519807 | -0.939334 | -0.065592 | -0.413871 | -0.323568 | -0.467157 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | -0.156969 | -0.764326 | -0.834137 | -0.927768 | -0.536027 | -0.590167 | -0.156969 | -0.428975 | -0.218161 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.471574 | -0.513251 | -0.017648 | -0.979289 | 0.009655 | -0.637466 | 0.471574 | -0.478863 | -0.054920 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.298129 | -0.148588 | -0.677732 | 0.050147 | -1.089386 | 0.298129 | -0.666616 | 0.022941 | -0.504837 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.194546 | -0.793791 | -0.192051 | -1.150283 | 0.025757 | -0.813845 | 0.194546 | -0.529503 | 0.184891 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.417960 | -0.355464 | -0.192301 | -0.909013 | 0.193930 | -0.634903 | 0.417960 | -0.453727 | 0.106728 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Discontinuties | 0.026367 | -0.436012 | -0.065794 | -0.537756 | -0.368996 | -1.199395 | -0.133661 | -0.920132 | 0.026367 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.179891 | -0.112542 | -0.943972 | -0.038355 | -1.197746 | 0.179891 | -0.890441 | -0.046290 | -0.622879 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.317144 | -0.071331 | -0.888217 | 0.038050 | -1.101318 | 0.317144 | -0.741142 | 0.223180 | -0.493257 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | nan | nan | nan | nan | nan | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | -0.157668 | -0.788366 | -1.168729 | -0.609111 | -1.065987 | -0.157668 | -0.583130 | -0.405037 | -0.442839 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.180106 | -0.902492 | -0.108546 | -1.266148 | -0.058199 | -1.081887 | 0.180106 | -0.583714 | 0.169221 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Discontinuties | 0.316970 | 0.104370 | -0.613317 | -0.067176 | -1.132201 | 0.237294 | -0.606752 | 0.316970 | -0.554723 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.267099 | -0.716055 | -0.041244 | -0.982376 | 0.096340 | -0.511503 | 0.267099 | -0.499915 | 0.210524 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Variability | 0.359307 | -0.859198 | 0.125915 | -1.013796 | 0.225776 | -0.674119 | 0.359307 | -0.611964 | 0.300429 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 0.505919 | -0.919402 | 0.505919 | -1.226909 | 0.099820 | -1.121248 | 0.469421 | -0.705303 | 0.389544 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Discontinuties | 0.498111 | 0.148398 | -0.648637 | 0.166599 | -0.865332 | 0.399067 | -0.454769 | 0.498111 | -0.275312 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | Nnan | Not Found | nn Shape | 13.102603 | 0.647087 | 13.102603 | 0.199265 | 11.260123 | 1.020086 | 4.096279 | -0.198727 | 1.817676 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Power | 12.794925 | 0.629956 | 12.507525 | 0.368847 | 12.794925 | 1.195300 | 5.565527 | -0.787907 | 0.893303 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 11.743852 | 0.588815 | 11.743852 | 0.324350 | 11.243443 | 0.919549 | 4.066329 | -0.402991 | 1.538642 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 12.009081 | 0.411103 | 12.009081 | 0.268713 | 10.713430 | 0.886777 | 3.460892 | -0.399841 | 1.311727 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 12.684005 | 0.428027 | 12.684005 | 0.267049 | 10.087767 | 0.633215 | 3.809426 | -0.395381 | 1.893626 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 11.141163 | 0.304424 | 11.141163 | 0.388967 | 9.896114 | 0.378268 | 2.711228 | 0.467872 | 1.610543 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.484792 | 0.140979 | 13.484792 | 0.395134 | 10.876831 | 0.330106 | 3.307556 | 0.915370 | 1.870862 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.467374 | -0.108770 | 13.467374 | 0.485643 | 10.867247 | 0.348745 | 2.197901 | 0.998305 | 1.393061 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.639772 | 13.639772 | 0.700325 | 11.341105 | 0.322370 | 5.062694 | 0.703004 | 2.108857 | -0.442169 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 12.702849 | 0.617233 | 12.702849 | 0.344933 | 11.070606 | 0.631017 | 4.195381 | -0.481062 | 2.306550 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.718349 | 14.718349 | 0.657593 | 11.909390 | 0.358821 | 7.714398 | 0.738236 | 2.018704 | -0.502959 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.981176 | 0.701192 | 14.981176 | 0.362243 | 12.197608 | 0.430915 | 7.544746 | -0.649504 | 2.851966 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 15.596376 | 0.637028 | 15.596376 | 0.414258 | 12.500180 | 0.428537 | 7.652913 | -0.516045 | 0.781640 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 16.734324 | 16.734324 | 0.767654 | 12.580162 | 0.304853 | 7.612107 | 0.440484 | 1.706042 | -0.136415 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 15.495830 | 0.655014 | 15.495830 | 0.434008 | 12.119271 | 0.780509 | 7.643046 | 1.079118 | 3.442981 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.321359 | 13.321359 | 1.007285 | 10.300872 | 0.112639 | 8.765206 | 1.123122 | 1.071276 | -0.503069 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 15.073675 | 15.073675 | 1.077938 | 11.294867 | 0.162460 | 6.558863 | 0.978294 | 1.661315 | -0.630285 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 15.477018 | 15.477018 | 1.164125 | 11.687062 | 0.187080 | 6.958321 | 0.745048 | 1.366543 | -0.485032 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.100516 | 1.313226 | 13.100516 | 0.027382 | 8.816016 | 0.228533 | 10.423485 | -0.689128 | 0.908329 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 15.507202 | 11.193853 | 15.507202 | -0.034386 | 11.617946 | 5.662298 | 7.096236 | -0.119659 | 2.220231 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.549915 | 13.086973 | 14.549915 | -0.105660 | 11.448944 | 5.868540 | 7.683555 | 0.736146 | 2.544700 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Variability | 15.890223 | 13.762229 | 15.658167 | -0.361735 | 15.327583 | 10.510953 | 15.890223 | 0.595657 | 2.235214 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 17.079683 | 12.636325 | 17.079683 | 11.703031 | 12.692505 | 9.135963 | 10.435400 | 1.292592 | 1.916768 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 15.828349 | 11.701371 | 15.828349 | 13.042572 | 13.971899 | 7.248571 | 8.800001 | 0.914140 | 2.056666 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 19.315977 | 19.315977 | 14.177344 | 15.384078 | 14.282526 | 7.744829 | 6.585775 | 5.442940 | 4.475085 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.457762 | 10.511609 | 14.457762 | 11.170376 | 12.030477 | 5.858751 | 7.187026 | 1.581698 | 2.256676 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | nan | nan | nan | nan | nan | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 12.266897 | 8.936531 | 12.266897 | 9.555272 | 10.177354 | 7.851481 | 10.152247 | 0.699884 | 1.555373 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.373339 | 9.796582 | 13.373339 | 10.124122 | 10.937332 | 7.639939 | 9.568962 | 2.498469 | 3.252955 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.402133 | 10.867127 | 14.402133 | 12.701402 | 13.387460 | 7.204115 | 9.215343 | 0.401677 | 1.028140 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.607617 | 11.086859 | 14.607617 | 11.802178 | 12.586658 | 7.894341 | 9.422113 | 0.338363 | 0.870221 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.156188 | 10.629772 | 14.156188 | 10.190057 | 11.027847 | 7.682337 | 9.491822 | 0.260149 | 0.600638 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.304223 | 11.779451 | 13.304223 | 9.473089 | 10.227988 | 10.069923 | 10.885963 | 0.784779 | 2.118567 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 16.501330 | 12.627323 | 16.501330 | 10.041473 | 10.823606 | 9.083055 | 10.725615 | 0.247238 | 0.602029 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.591696 | 13.591696 | 10.249252 | 10.513639 | 9.835656 | 11.003096 | 8.988087 | 0.333668 | 0.107125 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.798539 | 13.798539 | 10.021929 | 9.610649 | 8.752737 | 9.224220 | 7.936443 | 0.158846 | -0.112367 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.500845 | 9.873177 | 13.500845 | 9.828621 | 10.662675 | 6.319746 | 7.940419 | 0.727201 | 1.651845 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 16.560663 | 16.560663 | 12.378246 | 11.508187 | 10.768446 | 11.213822 | 9.285808 | 9.473313 | 5.424803 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.985243 | 14.985243 | 11.343057 | 10.719051 | 9.974267 | 8.578457 | 7.156198 | 1.641559 | 1.038693 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.401620 | 10.726023 | 14.401620 | 10.321377 | 11.101668 | 9.391122 | 12.064181 | 2.367805 | 2.960199 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 14.099277 | 10.567675 | 14.099277 | 9.910680 | 10.517037 | 9.193554 | 11.128224 | 2.818204 | 5.982450 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 11.417059 | 9.194973 | 11.417059 | 8.409544 | 8.983374 | 4.479884 | 5.250528 | 2.389768 | 3.158011 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 12.995503 | 12.995503 | 9.866232 | 11.193192 | 10.569946 | 12.322539 | 10.344184 | 0.706532 | 0.254460 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 12.529826 | 12.529826 | 9.692546 | 10.227343 | 9.495564 | 10.754345 | 8.931582 | 5.219430 | 5.064086 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.079559 | 10.071969 | 13.079559 | 8.801147 | 9.572651 | 8.862525 | 10.085197 | 0.372038 | 0.801409 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 12.407852 | 12.407852 | 10.177085 | -0.813959 | 9.557122 | 4.199990 | 9.259305 | 12.283545 | -0.004669 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 12.956305 | 10.462066 | 12.956305 | 9.382386 | -0.149740 | 9.126398 | 7.392267 | 0.051887 | 5.689491 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 13.216001 | 13.216001 | 10.387247 | -0.295822 | 9.877424 | 4.253448 | 9.318820 | 5.666309 | 0.826206 |