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 = "178" 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 62 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 60 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) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2459876 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.896555 | -0.070842 | 0.603657 | 0.606111 | 0.731602 | 0.128058 | 4.056510 | 2.600194 | 0.6743 | 0.6693 | 0.3958 | nan | nan |
2459875 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.453983 | -0.844940 | 1.000271 | -0.195057 | -0.238748 | 1.401509 | 3.666354 | 1.133597 | 0.6902 | 0.7022 | 0.3999 | nan | nan |
2459874 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.125152 | -0.764760 | 0.095047 | -0.114236 | -0.072901 | 0.191360 | 6.188329 | 3.410339 | 0.6783 | 0.6687 | 0.3857 | nan | nan |
2459873 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.422547 | -0.989948 | 0.427973 | -0.459018 | -0.377542 | 1.799641 | 5.496730 | 1.894986 | 0.6809 | 0.6657 | 0.3880 | nan | nan |
2459872 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459871 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 3.473023 | -0.723444 | 0.674791 | -0.852867 | -0.135960 | 1.533020 | 3.765666 | 0.673713 | 0.6852 | 0.6694 | 0.3921 | nan | nan |
2459870 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459869 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459868 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459867 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 3.640703 | -0.806174 | 0.672190 | -0.613536 | -0.341597 | 1.889001 | 3.833752 | 2.687815 | 0.6849 | 0.6717 | 0.4085 | nan | nan |
2459866 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.238360 | -0.925716 | 0.903119 | -0.107015 | 0.271831 | 2.545053 | 4.650215 | 1.689665 | 0.6849 | 0.6732 | 0.4007 | nan | nan |
2459865 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.856054 | -0.692300 | 15.804351 | 3.859419 | -0.247519 | 2.267505 | 6.639687 | 2.134869 | 0.6932 | 0.6871 | 0.3710 | nan | nan |
2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.733472 | -1.876996 | 3.413805 | -1.228962 | -0.630790 | 0.718224 | 12.921761 | 7.050441 | 0.6715 | 0.6647 | 0.4257 | nan | nan |
2459863 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 2.232148 | -0.829941 | 1.251186 | -0.066807 | -0.219958 | 3.218686 | 7.704626 | 3.338584 | 0.6664 | 0.6573 | 0.4132 | nan | nan |
2459862 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 2.932271 | -0.988686 | 3.553317 | -1.437064 | -0.665794 | 0.129288 | 1.336811 | 0.744966 | 0.6456 | 0.6775 | 0.4297 | nan | nan |
2459861 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.662226 | -0.549094 | 1.324106 | 0.307705 | -0.463882 | 2.065594 | 6.602557 | 2.588022 | 0.6769 | 0.6645 | 0.4296 | nan | nan |
2459860 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.941477 | -0.491253 | 3.057586 | -0.842208 | -0.819155 | -0.419526 | 3.103795 | 0.729491 | 0.6851 | 0.6659 | 0.4264 | nan | nan |
2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | 1.360478 | -0.755006 | 1.425832 | 0.409486 | 0.149819 | 1.643987 | 1.051778 | 0.452498 | 0.6921 | 0.6733 | 0.4209 | nan | nan |
2459858 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.479526 | -0.522164 | 1.368727 | 0.166766 | 0.680448 | 3.479725 | 4.539970 | 1.435950 | 0.7009 | 0.6781 | 0.4339 | 3.141469 | 3.013384 |
2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.487447 | -0.420436 | 0.490820 | -0.017470 | 3.415320 | 4.285388 | 5.187812 | 3.057128 | 0.0252 | 0.0253 | 0.0004 | nan | nan |
2459856 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.43% | 0.57% | 3.103551 | -0.571552 | 2.902284 | -0.613436 | -1.003292 | 2.167178 | 2.223384 | 2.055668 | 0.6919 | 0.6923 | 0.4195 | 1.657883 | 1.382184 |
2459855 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.236451 | -0.663171 | 2.949621 | -0.943659 | -0.127837 | 0.890142 | 3.289407 | 1.622531 | 0.6686 | 0.7058 | 0.4532 | 2.657618 | 2.507987 |
2459854 | digital_ok | 100.00% | 5.37% | 0.00% | 0.00% | 100.00% | 0.00% | 8.493327 | -1.488636 | 13.569271 | 4.165485 | 1.627613 | 0.996411 | 2.351167 | 3.055159 | 0.5669 | 0.7170 | 0.4797 | 2.116434 | 2.667558 |
2459853 | digital_ok | 100.00% | 2.25% | 0.00% | 0.00% | 100.00% | 0.00% | 6.547955 | -1.433441 | 18.200895 | 5.556661 | 2.311278 | 0.363364 | 1.809435 | 2.762254 | 0.6074 | 0.6688 | 0.4480 | 2.236840 | 2.808964 |
2459852 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.514699 | 0.178190 | 17.209617 | 4.491031 | 7.960917 | 2.898455 | 15.731461 | 5.101299 | 0.7264 | 0.8099 | 0.2940 | 3.760388 | 4.864735 |
2459851 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.365999 | -0.393067 | 17.077342 | 6.350400 | 7.644349 | 1.652488 | 3.728080 | 7.673426 | 0.6572 | 0.7110 | 0.3718 | 0.000000 | 0.000000 |
2459850 | digital_ok | 0.00% | 0.00% | 0.00% | 0.58% | 18.02% | 0.00% | -0.275252 | -0.973175 | 0.061220 | 0.850386 | -1.223556 | -0.541030 | -0.365643 | -0.493422 | 0.7252 | 0.7431 | 0.3720 | 1.520904 | 1.305673 |
2459849 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.67% | 0.00% | 0.012815 | -0.911761 | 0.812725 | 1.833656 | -0.456241 | 0.230328 | -0.663812 | -0.970389 | 0.7244 | 0.7368 | 0.3748 | 1.429231 | 1.327357 |
2459848 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 30.15% | 0.00% | 0.193623 | -0.662302 | -1.074562 | 0.004908 | -0.827848 | -0.522704 | -0.644011 | -0.925430 | 0.7007 | 0.7387 | 0.3976 | 1.369893 | 1.270902 |
2459847 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.21% | 0.00% | 0.175673 | -0.433681 | -0.971889 | 0.019347 | -0.241350 | -1.003663 | -0.534489 | -0.667729 | 0.7130 | 0.6753 | 0.4468 | 1.509085 | 1.345976 |
2459845 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.02% | 1.10% | 0.814863 | -0.044094 | -0.609715 | 0.027315 | -0.860867 | -0.318417 | -0.682443 | -1.534884 | 0.7030 | 0.7253 | 0.4071 | 1.285322 | 1.253517 |
2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.861788 | 0.042040 | -0.804331 | 0.120201 | -0.927009 | -1.072567 | -0.207766 | -0.795119 | 0.0248 | 0.0246 | 0.0005 | nan | nan |
2459843 | digital_ok | 0.00% | 1.20% | 0.66% | 0.00% | 15.22% | 0.54% | 1.403005 | -0.806068 | 1.165752 | -0.130318 | 0.854004 | -0.469321 | -0.306749 | -0.469875 | 0.7151 | 0.7266 | 0.4141 | 1.671617 | 1.432965 |
2459840 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 129.303827 | 213.094143 | 64.357804 | 62.640400 | 563.512071 | 663.805235 | 1263.840219 | 1417.562936 | 0.0173 | 0.0163 | 0.0008 | nan | nan |
2459839 | digital_ok | 100.00% | - | - | - | - | - | 32.663267 | 83.694861 | 143.277215 | 220.284960 | 243.647423 | 438.297798 | 1655.734688 | 3174.026218 | nan | nan | nan | nan | nan |
2459838 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.452588 | -1.355287 | 0.325306 | -0.322895 | -1.169568 | 0.466808 | -0.790255 | -0.854957 | 0.6724 | 0.6364 | 0.4040 | 0.000000 | 0.000000 |
2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0343 | 0.0352 | 0.0016 | nan | nan |
2459835 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 0.350392 | -0.004468 | 2.620435 | 3.067261 | 11.693067 | 11.565044 | 29.354471 | 29.316030 | 0.0369 | 0.0348 | 0.0020 | nan | nan |
2459833 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.567259 | 2.719744 | 0.680386 | 1.557817 | 63.811014 | 71.467955 | 87.772711 | 100.207366 | 0.0343 | 0.0321 | 0.0018 | nan | nan |
2459832 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.074487 | -1.693622 | 0.042502 | -0.798017 | -0.216500 | 1.565360 | 0.073033 | -0.790417 | 0.7395 | 0.4620 | 0.5502 | 1.631739 | 1.310532 |
2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.842622 | -1.053573 | -1.179985 | -1.046266 | -0.822374 | 0.584385 | -0.079218 | -0.772899 | 0.0371 | 0.0315 | 0.0020 | nan | nan |
2459830 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.63% | 0.00% | -0.623787 | -1.759675 | 0.503639 | -0.618895 | -1.575098 | -0.926896 | 0.140896 | -1.131704 | 0.7427 | 0.4787 | 0.5348 | 1.718398 | 1.313564 |
2459829 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.31% | 98.69% | -0.326691 | -1.299330 | 1.070919 | -0.126906 | -1.487336 | -0.281466 | 0.147375 | -1.037213 | 0.6890 | 0.6043 | 0.4058 | -0.000000 | -0.000000 |
2459828 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.525989 | -1.271013 | 1.095077 | -0.045976 | -0.966941 | -0.184710 | 1.229609 | -0.087266 | 0.7378 | 0.4814 | 0.5149 | 0.000000 | 0.000000 |
2459827 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.217148 | -0.773972 | 0.996036 | -0.671993 | -1.225546 | 1.373525 | 1.435145 | 0.110061 | 0.0734 | 0.0624 | 0.0104 | 0.000000 | 0.000000 |
2459826 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.964679 | -1.064543 | 0.852431 | -0.615597 | -1.554411 | -0.549548 | -0.439987 | -1.023105 | 0.0764 | 0.0592 | 0.0085 | 0.000000 | 0.000000 |
2459825 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.810462 | -1.391017 | 0.574081 | -0.588770 | -0.970130 | -0.331225 | -0.428166 | -0.726091 | 0.0675 | 0.0555 | 0.0087 | 1.261735 | 1.260058 |
2459824 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.858593 | -0.696607 | 0.621518 | -0.619795 | -1.347368 | -1.032753 | 0.013008 | -0.613373 | 0.0759 | 0.0665 | 0.0110 | 1.009985 | 1.010842 |
2459823 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.398640 | -1.693145 | 0.677235 | -0.961398 | -0.289124 | -1.085879 | 0.199169 | -0.944758 | 0.0731 | 0.0600 | 0.0095 | 648.765076 | 252.588753 |
2459822 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.856879 | -1.552102 | 1.084094 | -0.500180 | -0.485410 | -0.332747 | 0.130164 | -0.777212 | 0.0680 | 0.0560 | 0.0052 | 1.212774 | 1.212286 |
2459821 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 364.946641 | 365.227260 | inf | inf | 1298.508856 | 1832.716395 | 1713.069290 | 1668.125361 | nan | nan | nan | 0.000000 | 0.000000 |
2459820 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.508640 | -0.863624 | 1.026012 | -0.355262 | -0.666347 | 1.643468 | -0.203237 | -0.837893 | 0.0721 | 0.0607 | 0.0081 | 1.231279 | 1.228985 |
2459817 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.300130 | -1.722577 | 1.086833 | -0.589457 | 0.062284 | -0.764394 | -0.481743 | -0.686618 | 0.0718 | 0.0660 | 0.0062 | 1.216511 | 1.213673 |
2459816 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.986424 | -1.114019 | 0.897569 | -0.629457 | 0.192310 | -0.088421 | -0.321639 | -1.069642 | 0.8382 | 0.5764 | 0.6082 | 1.600460 | 1.344726 |
2459815 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.094546 | -1.718239 | 0.837612 | -0.856043 | 0.447253 | -0.479872 | -0.349193 | -0.850308 | 0.7893 | 0.6440 | 0.5300 | 1.515157 | 1.390313 |
2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459813 | 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 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Shape | 4.896555 | 4.896555 | -0.070842 | 0.603657 | 0.606111 | 0.731602 | 0.128058 | 4.056510 | 2.600194 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Shape | 4.453983 | 4.453983 | -0.844940 | 1.000271 | -0.195057 | -0.238748 | 1.401509 | 3.666354 | 1.133597 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 6.188329 | 6.125152 | -0.764760 | 0.095047 | -0.114236 | -0.072901 | 0.191360 | 6.188329 | 3.410339 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 5.496730 | 5.422547 | -0.989948 | 0.427973 | -0.459018 | -0.377542 | 1.799641 | 5.496730 | 1.894986 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 3.765666 | -0.723444 | 3.473023 | -0.852867 | 0.674791 | 1.533020 | -0.135960 | 0.673713 | 3.765666 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 3.833752 | 3.640703 | -0.806174 | 0.672190 | -0.613536 | -0.341597 | 1.889001 | 3.833752 | 2.687815 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 4.650215 | -0.925716 | 4.238360 | -0.107015 | 0.903119 | 2.545053 | 0.271831 | 1.689665 | 4.650215 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 15.804351 | 4.856054 | -0.692300 | 15.804351 | 3.859419 | -0.247519 | 2.267505 | 6.639687 | 2.134869 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 12.921761 | -1.876996 | 4.733472 | -1.228962 | 3.413805 | 0.718224 | -0.630790 | 7.050441 | 12.921761 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 7.704626 | 2.232148 | -0.829941 | 1.251186 | -0.066807 | -0.219958 | 3.218686 | 7.704626 | 3.338584 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 3.553317 | 2.932271 | -0.988686 | 3.553317 | -1.437064 | -0.665794 | 0.129288 | 1.336811 | 0.744966 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 6.602557 | -0.549094 | 1.662226 | 0.307705 | 1.324106 | 2.065594 | -0.463882 | 2.588022 | 6.602557 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 3.103795 | 1.941477 | -0.491253 | 3.057586 | -0.842208 | -0.819155 | -0.419526 | 3.103795 | 0.729491 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Temporal Variability | 1.643987 | 1.360478 | -0.755006 | 1.425832 | 0.409486 | 0.149819 | 1.643987 | 1.051778 | 0.452498 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 4.539970 | -0.522164 | 1.479526 | 0.166766 | 1.368727 | 3.479725 | 0.680448 | 1.435950 | 4.539970 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 5.187812 | -0.420436 | 0.487447 | -0.017470 | 0.490820 | 4.285388 | 3.415320 | 3.057128 | 5.187812 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Shape | 3.103551 | 3.103551 | -0.571552 | 2.902284 | -0.613436 | -1.003292 | 2.167178 | 2.223384 | 2.055668 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Shape | 4.236451 | -0.663171 | 4.236451 | -0.943659 | 2.949621 | 0.890142 | -0.127837 | 1.622531 | 3.289407 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 13.569271 | -1.488636 | 8.493327 | 4.165485 | 13.569271 | 0.996411 | 1.627613 | 3.055159 | 2.351167 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 18.200895 | -1.433441 | 6.547955 | 5.556661 | 18.200895 | 0.363364 | 2.311278 | 2.762254 | 1.809435 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 17.209617 | 4.514699 | 0.178190 | 17.209617 | 4.491031 | 7.960917 | 2.898455 | 15.731461 | 5.101299 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 17.077342 | 4.365999 | -0.393067 | 17.077342 | 6.350400 | 7.644349 | 1.652488 | 3.728080 | 7.673426 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Power | 0.850386 | -0.275252 | -0.973175 | 0.061220 | 0.850386 | -1.223556 | -0.541030 | -0.365643 | -0.493422 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Power | 1.833656 | 0.012815 | -0.911761 | 0.812725 | 1.833656 | -0.456241 | 0.230328 | -0.663812 | -0.970389 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Shape | 0.193623 | -0.662302 | 0.193623 | 0.004908 | -1.074562 | -0.522704 | -0.827848 | -0.925430 | -0.644011 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Shape | 0.175673 | -0.433681 | 0.175673 | 0.019347 | -0.971889 | -1.003663 | -0.241350 | -0.667729 | -0.534489 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Shape | 0.814863 | -0.044094 | 0.814863 | 0.027315 | -0.609715 | -0.318417 | -0.860867 | -1.534884 | -0.682443 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Power | 0.120201 | -0.861788 | 0.042040 | -0.804331 | 0.120201 | -0.927009 | -1.072567 | -0.207766 | -0.795119 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Shape | 1.403005 | -0.806068 | 1.403005 | -0.130318 | 1.165752 | -0.469321 | 0.854004 | -0.469875 | -0.306749 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Temporal Discontinuties | 1417.562936 | 129.303827 | 213.094143 | 64.357804 | 62.640400 | 563.512071 | 663.805235 | 1263.840219 | 1417.562936 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Temporal Discontinuties | 3174.026218 | 83.694861 | 32.663267 | 220.284960 | 143.277215 | 438.297798 | 243.647423 | 3174.026218 | 1655.734688 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Temporal Variability | 0.466808 | -1.355287 | -0.452588 | -0.322895 | 0.325306 | 0.466808 | -1.169568 | -0.854957 | -0.790255 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 29.354471 | -0.004468 | 0.350392 | 3.067261 | 2.620435 | 11.565044 | 11.693067 | 29.316030 | 29.354471 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Temporal Discontinuties | 100.207366 | 2.719744 | 2.567259 | 1.557817 | 0.680386 | 71.467955 | 63.811014 | 100.207366 | 87.772711 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Temporal Variability | 1.565360 | -1.074487 | -1.693622 | 0.042502 | -0.798017 | -0.216500 | 1.565360 | 0.073033 | -0.790417 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Temporal Variability | 0.584385 | -0.842622 | -1.053573 | -1.179985 | -1.046266 | -0.822374 | 0.584385 | -0.079218 | -0.772899 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 0.503639 | -0.623787 | -1.759675 | 0.503639 | -0.618895 | -1.575098 | -0.926896 | 0.140896 | -1.131704 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 1.070919 | -1.299330 | -0.326691 | -0.126906 | 1.070919 | -0.281466 | -1.487336 | -1.037213 | 0.147375 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 1.229609 | -1.271013 | -0.525989 | -0.045976 | 1.095077 | -0.184710 | -0.966941 | -0.087266 | 1.229609 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Temporal Discontinuties | 1.435145 | -0.217148 | -0.773972 | 0.996036 | -0.671993 | -1.225546 | 1.373525 | 1.435145 | 0.110061 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 0.852431 | -1.064543 | -0.964679 | -0.615597 | 0.852431 | -0.549548 | -1.554411 | -1.023105 | -0.439987 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 0.574081 | -1.391017 | -0.810462 | -0.588770 | 0.574081 | -0.331225 | -0.970130 | -0.726091 | -0.428166 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 0.621518 | -0.858593 | -0.696607 | 0.621518 | -0.619795 | -1.347368 | -1.032753 | 0.013008 | -0.613373 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 0.677235 | -1.693145 | -1.398640 | -0.961398 | 0.677235 | -1.085879 | -0.289124 | -0.944758 | 0.199169 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 1.084094 | -0.856879 | -1.552102 | 1.084094 | -0.500180 | -0.485410 | -0.332747 | 0.130164 | -0.777212 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Power | inf | 365.227260 | 364.946641 | inf | inf | 1832.716395 | 1298.508856 | 1668.125361 | 1713.069290 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Temporal Variability | 1.643468 | -0.508640 | -0.863624 | 1.026012 | -0.355262 | -0.666347 | 1.643468 | -0.203237 | -0.837893 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 1.086833 | -1.300130 | -1.722577 | 1.086833 | -0.589457 | 0.062284 | -0.764394 | -0.481743 | -0.686618 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 0.897569 | -1.114019 | -0.986424 | -0.629457 | 0.897569 | -0.088421 | 0.192310 | -1.069642 | -0.321639 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | ee Power | 0.837612 | -1.718239 | -1.094546 | -0.856043 | 0.837612 | -0.479872 | 0.447253 | -0.850308 | -0.349193 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
178 | N12 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |