Antenna Season Report Notebook¶

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_summarynotebook (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.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# 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
In [3]:
# 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 = "118"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 118 Report

In [5]:
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
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 255 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 248 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
In [7]:
# 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'

Load relevant info from summary CSVs¶

In [8]:
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
In [9]:
# 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')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

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.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 118, Node N07:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459810 digital_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459809 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 2.706925 22.535395 2.298263 28.821053 -0.789388 34.735004 0.539175 -0.199662 0.8148 0.0399 0.5416 4.220973 1.139641
2459808 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 1.906458 19.808885 3.398230 56.648291 2.474905 30.384244 3.258005 4.567900 0.8027 0.0447 0.4598 4.223554 1.208227
2459807 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 2.144674 20.949333 1.948409 41.203573 1.636491 26.074906 -0.334084 17.572086 0.7876 0.0469 0.5132 4.049562 1.212370
2459806 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459805 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 1.535748 19.455175 2.495682 54.944348 1.105191 22.337427 1.468294 3.485490 0.7955 0.0480 0.5153 4.485195 1.230750
2459804 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 2.254882 22.229509 2.674925 49.676789 1.548245 24.425711 0.213272 2.584538 0.7883 0.0460 0.5200 3.973744 1.215125
2459803 digital_ok 100.00% 0.00% 100.00% 0.00% 100.00% 0.00% 3.010567 23.802266 4.364697 64.842990 2.265354 26.133702 -0.106065 9.934534 0.7721 0.0436 0.4793 4.143256 1.192501
2459802 digital_ok 100.00% 0.00% 80.00% 0.00% 100.00% 0.00% 3.193552 0.282744 3.143729 21.464799 2.452089 175.071987 1.475940 26.867867 0.7756 0.1631 0.4968 4.041926 1.211843
2459801 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.198376 1.084610 2.500311 0.242809 3.141679 0.487983 -0.172296 1.699079 0.7823 0.7205 0.4696 1.912490 1.922175
2459800 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.820622 1.247545 1.788160 0.231447 1.225116 1.511334 1.655244 3.328372 0.7498 0.7302 0.4254 1.881803 1.888509
2459799 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459798 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.430944 1.180757 2.340690 0.579247 0.715884 1.252802 1.567186 4.905076 0.7292 0.7100 0.4265 5.574064 4.377522
2459797 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.064681 0.874073 2.275846 -0.213737 1.088714 1.351858 2.384197 3.020981 0.7258 0.7092 0.4190 1.659116 1.512000
2459796 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.299407 1.101134 4.046481 0.576466 1.250083 1.312903 5.017763 4.340493 0.7094 0.6942 0.4051 149.567516 45.850266
2459795 digital_ok 0.00% 0.00% 0.00% 0.00% 5.26% 13.16% 2.649551 0.922740 2.408772 0.653474 1.675893 1.046143 -0.120102 0.998161 0.7078 0.6966 0.4142 0.891476 0.796891
2459794 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.092764 0.529182 2.560715 0.274739 1.324401 1.284787 6.273812 9.121623 0.7097 0.7001 0.4109 0.000000 0.000000
2459793 digital_ok 0.00% 0.00% 0.00% 0.00% 31.58% 10.53% 1.918851 0.696610 1.819400 0.592188 0.663015 1.518365 2.105413 3.192520 0.7001 0.6968 0.4056 1.055615 0.963417
2459792 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.939340 1.342222 2.450241 -0.827009 0.554140 0.270372 1.817634 3.766642 0.7419 0.6483 0.4054 1.731954 1.585946
2459791 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 281.576483 281.625921 inf inf 1852.563167 1706.033720 2028.461284 2966.020212 nan nan nan 0.000000 0.000000
2459790 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.539363 2.367631 3.226453 -0.248138 2.910259 0.560459 2.062531 1.960701 0.6730 0.6687 0.3974 2.415923 2.343932
2459789 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.385509 2.075363 2.670846 0.661565 3.301703 1.238633 2.842085 1.811423 0.6683 0.6654 0.3848 0.000000 0.000000
2459788 digital_ok 0.00% 0.00% 0.00% 0.00% 23.68% 0.00% 3.853312 1.318572 2.419297 1.270661 3.169347 0.858954 1.680560 1.822831 0.6434 0.6426 0.3753 0.702304 0.658234
2459787 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.727325 1.437319 1.866101 0.427121 1.500725 0.244917 2.153838 0.785188 0.6518 0.6513 0.3689 0.483699 0.481082
2459786 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.058978 1.908054 2.876671 0.665554 3.723308 0.130584 6.011977 7.181871 0.6295 0.6322 0.3584 5.321787 4.982620
2459785 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.386754 1.517891 8.837049 -0.462039 3.879273 0.619276 0.548789 1.164861 0.7408 0.6539 0.4075 0.000000 0.000000
2459784 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.001645 1.873509 6.862795 0.232989 7.871495 0.166104 1.091775 3.859584 0.5982 0.6013 0.3404 4.612874 4.519934
2459783 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.512890 1.174603 1.163121 -1.418553 2.061870 -1.195223 0.290130 1.308646 0.5739 0.5769 0.3243 1.585762 1.608247
2459782 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 2.761449 1.342720 0.594867 -0.808168 0.706025 -1.014983 -0.417420 -0.227069 0.5540 0.5604 0.3217 1.784223 1.785743
2459781 digital_ok 100.00% 49.15% 49.15% 0.00% 100.00% 0.00% -0.575675 0.446567 -0.461975 0.181251 15.292783 15.536031 0.068251 0.228706 0.7111 0.6965 0.4281 2.202730 2.294811
2459778 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 1.60% 1.491992 0.347015 0.730303 -1.000884 -0.182969 -0.868178 0.135413 0.688903 0.7111 0.6246 0.4097 1.997669 1.805413
2459776 digital_ok 0.00% 0.00% 0.00% 0.00% 5.41% 0.00% 1.942734 1.488058 0.421715 -0.704494 -0.657607 -0.695761 1.947524 1.786886 0.7485 0.6533 0.4045 2.108973 1.785036
2459774 digital_ok - 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.7350 0.6553 0.3904 nan nan
2459773 digital_ok 0.00% 0.00% 0.00% 0.00% 26.32% 2.63% 1.024432 1.037270 1.754474 -0.323187 1.844325 -0.684379 -0.575655 0.954175 0.5224 0.5326 0.2962 1.130926 1.160952
2459772 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459771 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.259660 0.252336 -1.164331 0.029843 -1.171780 -0.064553 0.730347 3.175964 0.7301 0.6441 0.3957 1.965594 1.786247
2459770 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.043616 1.081766 1.725896 0.145474 1.480561 -0.229381 0.149500 7.138536 0.5152 0.5246 0.3025 3.972154 4.405609
2459769 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 1.474971 1.133086 2.528788 0.016974 2.741047 -0.420812 -0.217731 1.204813 0.5150 0.5227 0.3087 1.403020 1.368479
2459768 digital_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 7.059928 5.531814 11.837305 9.632527 11.811262 7.780067 -4.035068 -4.037021 0.5022 0.5077 0.3012 3.376799 3.309867
2459767 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459766 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% -0.218601 0.597369 -1.258498 0.256356 -1.534574 0.153239 0.329838 1.492886 0.5404 0.5460 0.3190 1.522090 1.506454
2459765 digital_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459764 digital_ok - - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459763 digital_ok 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.958415 1.299378 0.547062 -0.020068 0.648598 0.778877 0.037809 0.062045 0.7411 0.6559 0.4599 2.107433 1.758125

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
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

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

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.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 118: 2459810

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
118 N07 digital_ok ee Shape nan nan nan nan nan nan nan nan nan

Antenna 118: 2459809

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
118 N07 digital_ok nn Temporal Variability 34.735004 22.535395 2.706925 28.821053 2.298263 34.735004 -0.789388 -0.199662 0.539175

Antenna 118: 2459808

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
118 N07 digital_ok nn Power 56.648291 19.808885 1.906458 56.648291 3.398230 30.384244 2.474905 4.567900 3.258005

Antenna 118: 2459807

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
118 N07 digital_ok nn Power 41.203573 20.949333 2.144674 41.203573 1.948409 26.074906 1.636491 17.572086 -0.334084

Antenna 118: 2459806

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
118 N07 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 118: 2459805

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
118 N07 digital_ok nn Power 54.944348 1.535748 19.455175 2.495682 54.944348 1.105191 22.337427 1.468294 3.485490

Antenna 118: 2459804

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
118 N07 digital_ok nn Power 49.676789 22.229509 2.254882 49.676789 2.674925 24.425711 1.548245 2.584538 0.213272

Antenna 118: 2459803

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
118 N07 digital_ok nn Power 64.842990 3.010567 23.802266 4.364697 64.842990 2.265354 26.133702 -0.106065 9.934534

Antenna 118: 2459802

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
118 N07 digital_ok nn Temporal Variability 175.071987 0.282744 3.193552 21.464799 3.143729 175.071987 2.452089 26.867867 1.475940

Antenna 118: 2459801

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
118 N07 digital_ok ee Temporal Variability 3.141679 1.084610 2.198376 0.242809 2.500311 0.487983 3.141679 1.699079 -0.172296

Antenna 118: 2459800

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
118 N07 digital_ok nn Temporal Discontinuties 3.328372 1.247545 2.820622 0.231447 1.788160 1.511334 1.225116 3.328372 1.655244

Antenna 118: 2459799

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
118 N07 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 118: 2459798

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
118 N07 digital_ok nn Temporal Discontinuties 4.905076 2.430944 1.180757 2.340690 0.579247 0.715884 1.252802 1.567186 4.905076

Antenna 118: 2459797

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
118 N07 digital_ok nn Temporal Discontinuties 3.020981 0.874073 2.064681 -0.213737 2.275846 1.351858 1.088714 3.020981 2.384197

Antenna 118: 2459796

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
118 N07 digital_ok ee Temporal Discontinuties 5.017763 2.299407 1.101134 4.046481 0.576466 1.250083 1.312903 5.017763 4.340493

Antenna 118: 2459795

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
118 N07 digital_ok ee Shape 2.649551 0.922740 2.649551 0.653474 2.408772 1.046143 1.675893 0.998161 -0.120102

Antenna 118: 2459794

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
118 N07 digital_ok nn Temporal Discontinuties 9.121623 2.092764 0.529182 2.560715 0.274739 1.324401 1.284787 6.273812 9.121623

Antenna 118: 2459793

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
118 N07 digital_ok nn Temporal Discontinuties 3.192520 1.918851 0.696610 1.819400 0.592188 0.663015 1.518365 2.105413 3.192520

Antenna 118: 2459792

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
118 N07 digital_ok nn Temporal Discontinuties 3.766642 2.939340 1.342222 2.450241 -0.827009 0.554140 0.270372 1.817634 3.766642

Antenna 118: 2459791

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
118 N07 digital_ok ee Power inf 281.576483 281.625921 inf inf 1852.563167 1706.033720 2028.461284 2966.020212

Antenna 118: 2459790

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
118 N07 digital_ok ee Shape 4.539363 2.367631 4.539363 -0.248138 3.226453 0.560459 2.910259 1.960701 2.062531

Antenna 118: 2459789

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
118 N07 digital_ok ee Shape 4.385509 2.075363 4.385509 0.661565 2.670846 1.238633 3.301703 1.811423 2.842085

Antenna 118: 2459788

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
118 N07 digital_ok ee Shape 3.853312 1.318572 3.853312 1.270661 2.419297 0.858954 3.169347 1.822831 1.680560

Antenna 118: 2459787

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
118 N07 digital_ok ee Shape 2.727325 2.727325 1.437319 1.866101 0.427121 1.500725 0.244917 2.153838 0.785188

Antenna 118: 2459786

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
118 N07 digital_ok nn Temporal Discontinuties 7.181871 1.908054 4.058978 0.665554 2.876671 0.130584 3.723308 7.181871 6.011977

Antenna 118: 2459785

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
118 N07 digital_ok ee Power 8.837049 1.517891 2.386754 -0.462039 8.837049 0.619276 3.879273 1.164861 0.548789

Antenna 118: 2459784

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
118 N07 digital_ok ee Temporal Variability 7.871495 3.001645 1.873509 6.862795 0.232989 7.871495 0.166104 1.091775 3.859584

Antenna 118: 2459783

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
118 N07 digital_ok ee Shape 2.512890 1.174603 2.512890 -1.418553 1.163121 -1.195223 2.061870 1.308646 0.290130

Antenna 118: 2459782

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
118 N07 digital_ok ee Shape 2.761449 1.342720 2.761449 -0.808168 0.594867 -1.014983 0.706025 -0.227069 -0.417420

Antenna 118: 2459781

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
118 N07 digital_ok nn Temporal Variability 15.536031 -0.575675 0.446567 -0.461975 0.181251 15.292783 15.536031 0.068251 0.228706

Antenna 118: 2459778

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
118 N07 digital_ok ee Shape 1.491992 0.347015 1.491992 -1.000884 0.730303 -0.868178 -0.182969 0.688903 0.135413

Antenna 118: 2459776

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
118 N07 digital_ok ee Temporal Discontinuties 1.947524 1.942734 1.488058 0.421715 -0.704494 -0.657607 -0.695761 1.947524 1.786886

Antenna 118: 2459773

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
118 N07 digital_ok ee Temporal Variability 1.844325 1.037270 1.024432 -0.323187 1.754474 -0.684379 1.844325 0.954175 -0.575655

Antenna 118: 2459772

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
118 N07 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 118: 2459771

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
118 N07 digital_ok nn Temporal Discontinuties 3.175964 0.252336 -0.259660 0.029843 -1.164331 -0.064553 -1.171780 3.175964 0.730347

Antenna 118: 2459770

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
118 N07 digital_ok nn Temporal Discontinuties 7.138536 1.081766 1.043616 0.145474 1.725896 -0.229381 1.480561 7.138536 0.149500

Antenna 118: 2459769

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
118 N07 digital_ok ee Temporal Variability 2.741047 1.133086 1.474971 0.016974 2.528788 -0.420812 2.741047 1.204813 -0.217731

Antenna 118: 2459768

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
118 N07 digital_ok ee Power 11.837305 7.059928 5.531814 11.837305 9.632527 11.811262 7.780067 -4.035068 -4.037021

Antenna 118: 2459767

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
118 N07 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 118: 2459766

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
118 N07 digital_ok nn Temporal Discontinuties 1.492886 0.597369 -0.218601 0.256356 -1.258498 0.153239 -1.534574 1.492886 0.329838

Antenna 118: 2459765

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
118 N07 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 118: 2459763

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
118 N07 digital_ok nn Shape 1.299378 0.958415 1.299378 0.547062 -0.020068 0.648598 0.778877 0.037809 0.062045
In [ ]: