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 = "322"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 322 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 62 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 60 auto_metrics notebooks in /home/obs/src/H6C_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 322, Node N05:

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)
2459876 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.018943 4.534813 17.829902 29.122180 6.056678 20.726783 0.268839 -3.772561 0.5914 0.5743 0.4036 nan nan
2459875 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.069516 4.215706 24.246616 39.834850 2.723002 9.665881 4.206379 3.699447 0.5927 0.5799 0.4057 nan nan
2459874 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.581356 6.332420 12.321835 20.183089 3.176015 11.789776 -0.012617 -3.197709 0.5925 0.5727 0.3963 nan nan
2459873 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.133570 3.980772 16.465957 27.175337 0.781790 4.336601 7.813037 2.999608 0.5938 0.5711 0.3947 nan nan
2459872 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.605574 3.624834 22.328664 36.177682 3.763485 12.602855 1.460728 -1.933364 0.5911 0.5738 0.4073 nan nan
2459871 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.070557 3.087436 22.607165 37.482542 2.588226 10.789826 5.607385 1.073102 0.6003 0.5734 0.4009 nan nan
2459870 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.965493 5.568014 16.604691 27.225894 2.468111 8.687770 2.261826 -1.612035 0.6023 0.5808 0.4036 nan nan
2459869 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.488235 5.150253 16.408470 27.034825 3.590925 11.044544 1.852908 0.450134 0.6086 0.5882 0.4067 nan nan
2459868 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.470107 4.933542 25.304340 42.399518 1.294638 7.770337 0.823705 -3.408858 0.5900 0.5710 0.4166 nan nan
2459867 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.242988 3.423579 20.224208 33.259978 1.281484 4.810863 -0.317432 -2.790350 0.6030 0.5778 0.4168 nan nan
2459866 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 2.670269 3.819596 18.891665 30.695309 1.932674 5.167513 2.112695 0.322284 0.6085 0.5819 0.4072 nan nan
2459865 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.054416 3.886987 24.402280 39.990465 3.492801 8.894972 3.356052 4.982397 0.6194 0.5827 0.4050 nan nan
2459864 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.120341 4.456871 12.684878 19.098285 1.357140 6.030240 0.867163 -2.963685 0.6034 0.5733 0.4289 nan nan
2459863 digital_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.713169 1.584775 0.392369 2.241206 -0.385278 0.766396 -0.175844 -2.466201 0.5971 0.5622 0.4186 nan nan
2459862 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 1.262010 3.212020 15.692243 23.006504 1.471618 6.865664 1.393657 -1.541373 0.5674 0.5810 0.4328 nan nan
2459861 digital_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.102176 0.932126 -0.703097 0.877786 -1.240411 -1.224418 -0.655396 -2.781764 0.6139 0.5753 0.4335 nan nan
2459860 digital_maintenance 100.00% 0.00% 0.00% 0.00% - - 1.118043 2.452490 12.201327 17.813002 3.752809 10.839927 -0.275705 -2.180978 0.6209 0.5746 0.4286 nan nan
2459859 digital_maintenance 0.00% 0.00% 0.00% 0.00% - - 0.003310 0.926465 -0.505796 1.032259 -1.034506 -0.956390 0.887118 -1.572391 0.6266 0.5797 0.4245 nan nan
2459858 digital_maintenance 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.107494 0.861621 -1.072057 0.717192 -1.313868 -1.410983 0.185860 -2.609380 0.6375 0.5878 0.4393 0.000000 0.000000
2459857 digital_maintenance 100.00% 100.00% 100.00% 0.00% - - -0.426721 7.375474 2.243777 3.765159 -0.862617 3.129000 -0.862280 -1.536751 0.0315 0.0299 0.0011 nan nan
2459856 digital_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.861367 3.618534 11.535022 16.613816 0.473403 6.173482 0.596859 -2.355948 0.6231 0.5984 0.4181 0.000000 0.000000
2459855 digital_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.064902 4.445657 12.713477 18.726737 -0.357791 1.283891 0.028508 -1.618631 0.5841 0.6094 0.4545 0.000000 0.000000
2459854 digital_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.779312 4.069907 10.881525 15.688910 0.459971 1.216369 0.426964 -1.220422 0.6124 0.6522 0.4570 0.000000 0.000000
2459853 digital_maintenance 100.00% 0.00% 0.56% 0.00% 100.00% 0.00% 1.541159 3.045685 14.288658 19.903204 1.682540 5.662853 -0.129659 -2.979499 0.6548 0.5894 0.4484 0.000000 0.000000
2459852 digital_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.933158 4.414322 14.003640 19.506822 6.430570 11.514605 8.740744 11.947415 0.6899 0.6450 0.3646 0.000000 0.000000
2459851 digital_maintenance 100.00% 0.00% 0.00% 1.07% 100.00% 0.00% 1.254910 7.173809 15.897550 20.885384 6.667936 23.943632 5.821819 14.749469 0.6667 0.6446 0.3690 0.000000 0.000000
2459850 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 1.612882 3.864819 13.513194 18.531775 1.947333 10.505558 1.635177 6.963674 0.0571 0.0590 0.0096 0.000000 0.000000
2459849 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 2.124685 4.454711 27.407454 37.593280 0.887474 6.646210 1.200494 -0.681045 0.0630 0.0631 0.0093 0.000000 0.000000
2459848 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 2.002818 4.248146 19.757721 26.592974 2.319882 9.508033 0.048130 -1.937607 0.0623 0.0623 0.0100 0.000000 0.000000
2459847 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459846 digital_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 8.323945 11.942828 14.510467 19.818536 8.327456 13.390039 -0.311703 -0.698620 0.0640 0.0551 0.0157 0.000000 0.000000
2459845 digital_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.185298 5.309109 25.166145 34.547848 2.025796 8.414303 3.030138 -2.062769 0.6100 0.6077 0.4050 0.000000 0.000000
2459844 digital_maintenance 100.00% 100.00% 100.00% 0.00% - - 1.536840 16.732100 62.883360 70.795788 -0.109267 1.690105 0.138288 -0.728517 0.0311 0.0294 0.0013 nan nan
2459843 digital_maintenance 100.00% 1.20% 1.20% 0.00% 100.00% 0.00% 8.192526 9.844353 18.077033 19.713353 4.549552 11.260944 -2.864730 -3.763338 0.6244 0.5935 0.4282 0.000000 0.000000

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 322: 2459876

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
322 N05 digital_maintenance nn Power 29.122180 3.018943 4.534813 17.829902 29.122180 6.056678 20.726783 0.268839 -3.772561

Antenna 322: 2459875

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
322 N05 digital_maintenance nn Power 39.834850 3.069516 4.215706 24.246616 39.834850 2.723002 9.665881 4.206379 3.699447

Antenna 322: 2459874

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
322 N05 digital_maintenance nn Power 20.183089 4.581356 6.332420 12.321835 20.183089 3.176015 11.789776 -0.012617 -3.197709

Antenna 322: 2459873

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
322 N05 digital_maintenance nn Power 27.175337 3.133570 3.980772 16.465957 27.175337 0.781790 4.336601 7.813037 2.999608

Antenna 322: 2459872

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
322 N05 digital_maintenance nn Power 36.177682 3.624834 2.605574 36.177682 22.328664 12.602855 3.763485 -1.933364 1.460728

Antenna 322: 2459871

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
322 N05 digital_maintenance nn Power 37.482542 3.087436 2.070557 37.482542 22.607165 10.789826 2.588226 1.073102 5.607385

Antenna 322: 2459870

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
322 N05 digital_maintenance nn Power 27.225894 3.965493 5.568014 16.604691 27.225894 2.468111 8.687770 2.261826 -1.612035

Antenna 322: 2459869

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
322 N05 digital_maintenance nn Power 27.034825 3.488235 5.150253 16.408470 27.034825 3.590925 11.044544 1.852908 0.450134

Antenna 322: 2459868

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
322 N05 digital_maintenance nn Power 42.399518 3.470107 4.933542 25.304340 42.399518 1.294638 7.770337 0.823705 -3.408858

Antenna 322: 2459867

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
322 N05 digital_maintenance nn Power 33.259978 2.242988 3.423579 20.224208 33.259978 1.281484 4.810863 -0.317432 -2.790350

Antenna 322: 2459866

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
322 N05 digital_maintenance nn Power 30.695309 3.819596 2.670269 30.695309 18.891665 5.167513 1.932674 0.322284 2.112695

Antenna 322: 2459865

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
322 N05 digital_maintenance nn Power 39.990465 4.054416 3.886987 24.402280 39.990465 3.492801 8.894972 3.356052 4.982397

Antenna 322: 2459864

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
322 N05 digital_maintenance nn Power 19.098285 4.456871 3.120341 19.098285 12.684878 6.030240 1.357140 -2.963685 0.867163

Antenna 322: 2459863

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
322 N05 digital_maintenance nn Power 2.241206 0.713169 1.584775 0.392369 2.241206 -0.385278 0.766396 -0.175844 -2.466201

Antenna 322: 2459862

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
322 N05 digital_maintenance nn Power 23.006504 1.262010 3.212020 15.692243 23.006504 1.471618 6.865664 1.393657 -1.541373

Antenna 322: 2459861

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
322 N05 digital_maintenance nn Shape 0.932126 0.932126 0.102176 0.877786 -0.703097 -1.224418 -1.240411 -2.781764 -0.655396

Antenna 322: 2459860

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
322 N05 digital_maintenance nn Power 17.813002 1.118043 2.452490 12.201327 17.813002 3.752809 10.839927 -0.275705 -2.180978

Antenna 322: 2459859

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
322 N05 digital_maintenance nn Power 1.032259 0.003310 0.926465 -0.505796 1.032259 -1.034506 -0.956390 0.887118 -1.572391

Antenna 322: 2459858

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
322 N05 digital_maintenance nn Shape 0.861621 0.861621 -0.107494 0.717192 -1.072057 -1.410983 -1.313868 -2.609380 0.185860

Antenna 322: 2459857

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
322 N05 digital_maintenance nn Shape 7.375474 7.375474 -0.426721 3.765159 2.243777 3.129000 -0.862617 -1.536751 -0.862280

Antenna 322: 2459856

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
322 N05 digital_maintenance nn Power 16.613816 1.861367 3.618534 11.535022 16.613816 0.473403 6.173482 0.596859 -2.355948

Antenna 322: 2459855

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
322 N05 digital_maintenance nn Power 18.726737 4.445657 2.064902 18.726737 12.713477 1.283891 -0.357791 -1.618631 0.028508

Antenna 322: 2459854

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
322 N05 digital_maintenance nn Power 15.688910 4.069907 1.779312 15.688910 10.881525 1.216369 0.459971 -1.220422 0.426964

Antenna 322: 2459853

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
322 N05 digital_maintenance nn Power 19.903204 3.045685 1.541159 19.903204 14.288658 5.662853 1.682540 -2.979499 -0.129659

Antenna 322: 2459852

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
322 N05 digital_maintenance nn Power 19.506822 2.933158 4.414322 14.003640 19.506822 6.430570 11.514605 8.740744 11.947415

Antenna 322: 2459851

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
322 N05 digital_maintenance nn Temporal Variability 23.943632 1.254910 7.173809 15.897550 20.885384 6.667936 23.943632 5.821819 14.749469

Antenna 322: 2459850

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
322 N05 digital_maintenance nn Power 18.531775 1.612882 3.864819 13.513194 18.531775 1.947333 10.505558 1.635177 6.963674

Antenna 322: 2459849

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
322 N05 digital_maintenance nn Power 37.593280 2.124685 4.454711 27.407454 37.593280 0.887474 6.646210 1.200494 -0.681045

Antenna 322: 2459848

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
322 N05 digital_maintenance nn Power 26.592974 4.248146 2.002818 26.592974 19.757721 9.508033 2.319882 -1.937607 0.048130

Antenna 322: 2459847

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
322 N05 digital_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 322: 2459846

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
322 N05 digital_maintenance nn Power 19.818536 8.323945 11.942828 14.510467 19.818536 8.327456 13.390039 -0.311703 -0.698620

Antenna 322: 2459845

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
322 N05 digital_maintenance nn Power 34.547848 5.309109 3.185298 34.547848 25.166145 8.414303 2.025796 -2.062769 3.030138

Antenna 322: 2459844

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
322 N05 digital_maintenance nn Power 70.795788 1.536840 16.732100 62.883360 70.795788 -0.109267 1.690105 0.138288 -0.728517

Antenna 322: 2459843

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
322 N05 digital_maintenance nn Power 19.713353 9.844353 8.192526 19.713353 18.077033 11.260944 4.549552 -3.763338 -2.864730
In [ ]: