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 = "205"
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 205 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 253 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 247 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/H5C_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/H5C_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 205, Node N19:

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 RF_ok 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459809 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 4.693413 3.754283 14.269155 -0.140793 13.762166 4.035555 -1.087070 6.834603 0.0507 0.0448 0.0053 0.000000 0.000000
2459808 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 10.787310 5.288362 15.672262 -0.294047 13.990019 3.784551 17.931199 24.122912 0.0546 0.0442 0.0046 1.208254 1.220508
2459807 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 11.105029 5.333639 10.579252 -0.335007 12.424176 3.320144 57.042272 74.865599 0.0503 0.0415 0.0040 0.849184 0.847705
2459806 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 9.997320 5.701697 16.442129 -0.032656 21.342308 10.763783 56.568827 79.507080 0.0490 0.0439 0.0032 0.000000 0.000000
2459805 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 9.832742 4.960677 13.977547 -0.151313 10.576999 3.695767 12.815586 18.953589 0.0542 0.0355 0.0040 0.933262 0.944259
2459804 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 11.835369 5.731457 13.242253 -0.188812 11.818011 3.639335 8.642170 12.355010 0.0547 0.0373 0.0040 1.238077 1.251811
2459803 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 14.973431 7.590693 18.093915 -0.156425 12.331544 4.069046 28.226635 43.014332 0.0548 0.0434 0.0036 1.151049 1.163752
2459802 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 12.250591 5.975462 15.517814 -0.366009 18.887980 4.647267 15.164658 26.424837 0.0542 0.0439 0.0047 1.146653 1.154532
2459801 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 11.732694 6.184296 12.827129 -0.256647 19.866097 5.357243 41.325459 58.497832 0.0543 0.0406 0.0034 0.000000 0.000000
2459800 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% 12.366124 6.020737 12.125465 -0.514829 13.162183 3.981563 40.681713 60.728623 0.0643 0.0517 0.0075 1.299335 1.307137
2459799 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.532172 5.157242 15.030206 4.161246 27.199922 11.094107 20.641241 32.280055 0.7303 0.6088 0.4175 6.682814 4.826532
2459798 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.793169 13.394783 12.695113 14.844798 10.717032 12.896050 27.181267 30.220921 0.6901 0.6659 0.4238 4.025382 3.707107
2459797 RF_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
2459796 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 10.919437 5.408222 17.043497 5.233658 12.386277 2.930252 36.940191 54.338795 0.6666 0.6353 0.4165 0.000000 0.000000
2459795 RF_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
2459794 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.810461 4.890670 13.914259 1.572900 16.904859 4.726972 57.955438 82.886783 0.6668 0.6436 0.3959 0.000000 0.000000
2459793 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.348930 4.265434 13.012402 1.967175 17.308914 3.767654 27.813243 45.253364 0.6518 0.6368 0.3953 2.966110 2.849190
2459792 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.322695 4.939791 15.126292 -0.576183 18.135181 8.877315 22.215841 28.483941 0.7275 0.5879 0.4221 8.602783 5.489698
2459791 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.274607 4.728047 18.127462 0.982844 18.748416 5.538302 8.455603 11.404114 0.6425 0.6276 0.3829 9.808372 8.449360
2459790 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 17.678323 8.299468 16.623564 0.766760 24.821731 8.727108 24.353057 41.851912 0.6251 0.6115 0.3845 4.262536 4.294999
2459789 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 15.031059 7.356584 17.332318 -0.143771 25.453580 6.612024 59.884554 99.679653 0.6081 0.5954 0.3766 7.958791 8.748933
2459788 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 12.776400 5.879535 18.028342 0.109140 27.034331 8.312422 26.456901 41.090935 0.6114 0.6005 0.3641 4.179811 4.435130
2459787 RF_ok 100.00% 5.38% 8.06% 0.00% 100.00% 0.00% 12.249310 5.993371 14.868842 -0.049317 17.482747 4.759003 27.726751 39.365646 0.5676 0.5506 0.3735 2.802710 2.565921
2459786 RF_ok 100.00% 0.00% 5.38% 0.00% 100.00% 0.00% 13.209357 6.165202 18.810907 0.291522 27.401646 9.069714 41.560791 55.913295 0.5771 0.5640 0.3551 6.675755 6.779139
2459785 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.988644 3.809235 39.696901 5.746516 35.561892 8.418501 14.260366 20.060767 0.7218 0.6112 0.3993 6.671390 5.605641
2459784 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 17.979940 5.058681 30.476753 4.611613 39.858438 8.828151 6.431737 10.967596 0.5429 0.5495 0.3241 5.906331 7.883140
2459783 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 15.613630 6.044917 8.862311 3.553384 19.230183 6.802469 23.618033 34.955806 0.5368 0.5504 0.3249 3.237342 3.570100
2459782 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 14.493103 5.690720 4.521015 1.789598 10.811478 4.269958 16.695066 22.219127 0.5131 0.5288 0.3121 4.383959 4.665473
2459781 RF_ok 0.00% 7.82% 7.82% 0.00% 100.00% 0.00% 2.021094 0.113797 0.832856 -0.673995 -0.476099 -3.144575 -2.061123 2.627723 0.6938 0.6418 0.3480 3.988064 3.567108
2459778 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.327330 3.637173 6.752754 2.511022 17.896919 5.601820 32.559296 46.615555 0.6974 0.6014 0.3929 4.669989 4.035061
2459776 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 8.386725 3.268936 7.387582 3.205815 24.938400 7.993919 14.203351 37.573274 0.7443 0.6251 0.4045 5.522374 4.425233
2459774 RF_ok - 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.7100 0.6218 0.3857 nan nan

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 205: 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
205 N19 RF_ok ee Shape nan nan nan nan nan nan nan nan nan

Antenna 205: 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
205 N19 RF_ok ee Power 14.269155 3.754283 4.693413 -0.140793 14.269155 4.035555 13.762166 6.834603 -1.087070

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 24.122912 5.288362 10.787310 -0.294047 15.672262 3.784551 13.990019 24.122912 17.931199

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 74.865599 5.333639 11.105029 -0.335007 10.579252 3.320144 12.424176 74.865599 57.042272

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 79.507080 9.997320 5.701697 16.442129 -0.032656 21.342308 10.763783 56.568827 79.507080

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 18.953589 9.832742 4.960677 13.977547 -0.151313 10.576999 3.695767 12.815586 18.953589

Antenna 205: 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
205 N19 RF_ok ee Power 13.242253 5.731457 11.835369 -0.188812 13.242253 3.639335 11.818011 12.355010 8.642170

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 43.014332 14.973431 7.590693 18.093915 -0.156425 12.331544 4.069046 28.226635 43.014332

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 26.424837 5.975462 12.250591 -0.366009 15.517814 4.647267 18.887980 26.424837 15.164658

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 58.497832 6.184296 11.732694 -0.256647 12.827129 5.357243 19.866097 58.497832 41.325459

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 60.728623 6.020737 12.366124 -0.514829 12.125465 3.981563 13.162183 60.728623 40.681713

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 32.280055 5.157242 9.532172 4.161246 15.030206 11.094107 27.199922 32.280055 20.641241

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 30.220921 11.793169 13.394783 12.695113 14.844798 10.717032 12.896050 27.181267 30.220921

Antenna 205: 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
205 N19 RF_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 54.338795 10.919437 5.408222 17.043497 5.233658 12.386277 2.930252 36.940191 54.338795

Antenna 205: 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
205 N19 RF_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 82.886783 11.810461 4.890670 13.914259 1.572900 16.904859 4.726972 57.955438 82.886783

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 45.253364 9.348930 4.265434 13.012402 1.967175 17.308914 3.767654 27.813243 45.253364

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 28.483941 9.322695 4.939791 15.126292 -0.576183 18.135181 8.877315 22.215841 28.483941

Antenna 205: 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
205 N19 RF_ok ee Temporal Variability 18.748416 11.274607 4.728047 18.127462 0.982844 18.748416 5.538302 8.455603 11.404114

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 41.851912 8.299468 17.678323 0.766760 16.623564 8.727108 24.821731 41.851912 24.353057

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 99.679653 7.356584 15.031059 -0.143771 17.332318 6.612024 25.453580 99.679653 59.884554

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 41.090935 5.879535 12.776400 0.109140 18.028342 8.312422 27.034331 41.090935 26.456901

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 39.365646 12.249310 5.993371 14.868842 -0.049317 17.482747 4.759003 27.726751 39.365646

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 55.913295 6.165202 13.209357 0.291522 18.810907 9.069714 27.401646 55.913295 41.560791

Antenna 205: 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
205 N19 RF_ok ee Power 39.696901 3.809235 11.988644 5.746516 39.696901 8.418501 35.561892 20.060767 14.260366

Antenna 205: 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
205 N19 RF_ok ee Temporal Variability 39.858438 17.979940 5.058681 30.476753 4.611613 39.858438 8.828151 6.431737 10.967596

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 34.955806 6.044917 15.613630 3.553384 8.862311 6.802469 19.230183 34.955806 23.618033

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 22.219127 5.690720 14.493103 1.789598 4.521015 4.269958 10.811478 22.219127 16.695066

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 2.627723 2.021094 0.113797 0.832856 -0.673995 -0.476099 -3.144575 -2.061123 2.627723

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 46.615555 3.637173 9.327330 2.511022 6.752754 5.601820 17.896919 46.615555 32.559296

Antenna 205: 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
205 N19 RF_ok nn Temporal Discontinuties 37.573274 8.386725 3.268936 7.387582 3.205815 24.938400 7.993919 14.203351 37.573274
In [ ]: