Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summary
notebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics
notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "177" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 62 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 60 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2459876 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.858557 | -0.748935 | 0.971146 | 3.281143 | -0.938029 | 2.765432 | -0.180168 | 3.008118 | 0.6779 | 0.6691 | 0.4017 | nan | nan |
2459875 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.655704 | -0.680751 | 1.343438 | 5.222955 | -0.660164 | 2.008016 | -0.445459 | 1.838641 | 0.6920 | 0.6993 | 0.4064 | nan | nan |
2459874 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.069889 | -0.898515 | 0.148815 | 1.897483 | -0.553108 | 3.142819 | -0.108763 | 2.699322 | 0.6803 | 0.6672 | 0.3928 | nan | nan |
2459873 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.212563 | -0.781747 | 0.529694 | 2.289512 | -0.719127 | 0.221083 | -0.471208 | 2.071484 | 0.6839 | 0.6628 | 0.3926 | nan | nan |
2459872 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459871 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.065251 | -0.688480 | 0.814939 | 4.430263 | -0.833301 | 1.700331 | -0.358560 | 1.688142 | 0.6893 | 0.6677 | 0.3958 | nan | nan |
2459870 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 280.134017 | 290.116436 | inf | inf | 5357.742442 | 5581.421650 | 14562.996512 | 15119.204801 | nan | nan | nan | nan | nan |
2459869 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459868 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 385.548715 | 386.261843 | inf | inf | 7416.894623 | 7291.802814 | 15685.287203 | 15489.964516 | nan | nan | nan | nan | nan |
2459867 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.174354 | -0.953482 | 0.519599 | 1.795590 | -0.715791 | 0.119777 | -0.046852 | 2.902625 | 0.6878 | 0.6695 | 0.4155 | nan | nan |
2459866 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.367553 | -0.997411 | 0.672267 | 1.755457 | -0.142772 | 0.672277 | 1.525127 | 2.479727 | 0.6892 | 0.6713 | 0.4058 | nan | nan |
2459865 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.135080 | -0.775151 | 0.247104 | 1.311624 | -1.026500 | 0.565806 | 1.644839 | 2.257907 | 0.7073 | 0.6872 | 0.3794 | nan | nan |
2459864 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -2.106682 | -1.977369 | 1.179581 | -0.285794 | -0.895562 | 1.185732 | 1.079267 | 9.387120 | 0.6787 | 0.6631 | 0.4282 | nan | nan |
2459863 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -1.266447 | -1.163898 | 0.561759 | -0.522647 | -0.231850 | -0.101796 | -0.028967 | 4.512060 | 0.6738 | 0.6543 | 0.4170 | nan | nan |
2459862 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.564474 | -1.025625 | 0.895718 | 0.291214 | -1.021781 | 1.004001 | -0.432752 | 0.946073 | 0.6552 | 0.6681 | 0.4286 | nan | nan |
2459861 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.006845 | -1.329363 | 0.643874 | -0.302060 | -0.133525 | 0.219785 | -0.244977 | 3.516324 | 0.6860 | 0.6555 | 0.4289 | nan | nan |
2459860 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -1.221878 | -1.501611 | 0.902812 | 0.522631 | -0.950677 | 1.354303 | -0.329400 | 0.701809 | 0.6926 | 0.6576 | 0.4258 | nan | nan |
2459859 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | - | - | -0.818253 | -1.005635 | 0.701892 | -0.529868 | 0.692604 | -0.395850 | -0.420513 | 0.354107 | 0.7004 | 0.6654 | 0.4207 | nan | nan |
2459858 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.741418 | -1.057030 | 0.697691 | -0.581605 | 0.791595 | 0.382396 | -0.537893 | 1.940900 | 0.7088 | 0.6697 | 0.4350 | 1.610906 | 1.401973 |
2459857 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.292592 | 0.584595 | 0.236336 | -0.706993 | 0.602393 | 4.879195 | 0.343071 | 1.381574 | 0.0260 | 0.0256 | 0.0006 | nan | nan |
2459856 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.43% | 0.57% | -1.180886 | -0.747399 | 0.871834 | 0.985877 | -0.595043 | 1.034789 | -0.406587 | 0.420684 | 0.6998 | 0.6837 | 0.4177 | 1.704220 | 1.455678 |
2459855 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.58% | 0.00% | -1.833760 | -0.760555 | 0.700276 | 0.719524 | -0.202236 | 0.624760 | -0.657083 | 0.835018 | 0.6727 | 0.6947 | 0.4512 | 1.600100 | 1.385034 |
2459854 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.93% | 0.00% | -1.774212 | -1.092657 | 0.172533 | 1.362141 | 0.118081 | 0.830187 | -0.174981 | 2.709051 | 0.6944 | 0.7224 | 0.4535 | 1.658344 | 1.390653 |
2459853 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.56% | -1.230367 | -1.088548 | 0.143781 | 2.104268 | -0.083023 | 1.174188 | -0.492335 | 2.519503 | 0.7238 | 0.6751 | 0.4422 | 1.575008 | 1.407322 |
2459852 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.65% | 4.32% | -1.173476 | -1.276243 | -0.400819 | 1.543254 | -0.550323 | 1.369605 | 0.630856 | 1.549228 | 0.8017 | 0.8065 | 0.2713 | 3.165654 | 2.923402 |
2459851 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.458340 | -0.391986 | -0.115827 | 2.064346 | -0.046167 | 1.179984 | 0.650918 | 10.960125 | 0.7368 | 0.7192 | 0.3631 | 0.000000 | 0.000000 |
2459850 | digital_ok | 100.00% | 0.00% | 0.00% | 0.58% | 100.00% | 0.00% | -0.676668 | 1.027304 | -0.375047 | -0.721095 | -0.078512 | 1.370626 | 0.892141 | 8.071742 | 0.7211 | 0.7305 | 0.3684 | 3.231090 | 2.847895 |
2459849 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.472536 | 1.086652 | 0.099331 | 0.429149 | 0.274380 | 0.382903 | 2.031563 | 9.174023 | 0.7186 | 0.7260 | 0.3727 | 3.752850 | 3.286578 |
2459848 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.981248 | 1.768846 | 0.659851 | 0.391030 | 0.443726 | 3.667255 | 0.546374 | 5.254077 | 0.6961 | 0.7222 | 0.3939 | 3.253288 | 2.999798 |
2459847 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.768524 | 1.475438 | 0.957942 | 0.696469 | -0.362073 | 0.569946 | 1.785580 | 6.897841 | 0.7075 | 0.6554 | 0.4455 | 4.042142 | 3.392321 |
2459845 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 16.02% | 2.21% | 1.384666 | 2.667116 | 1.060977 | -0.378383 | -0.052034 | 0.765172 | 1.956680 | 3.452684 | 0.6966 | 0.7071 | 0.4024 | 1.287894 | 1.332929 |
2459844 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.514835 | 2.043929 | -0.076413 | -0.443927 | -0.932666 | 3.251463 | -0.918216 | 1.038077 | 0.0263 | 0.0249 | 0.0010 | nan | nan |
2459843 | digital_ok | 100.00% | 1.20% | 0.66% | 0.00% | 100.00% | 0.00% | 0.977400 | 2.479626 | -0.639119 | 3.109752 | -0.725731 | 13.436561 | 0.761038 | 7.892308 | 0.7161 | 0.7028 | 0.4103 | 5.424600 | 4.076216 |
2459840 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 137.108832 | 280.673534 | 71.181813 | 79.738579 | 768.966471 | 1076.132774 | 1793.234222 | 2541.315523 | 0.0185 | 0.0164 | 0.0015 | nan | nan |
2459839 | digital_ok | 100.00% | - | - | - | - | - | 37.748650 | 62.923112 | 207.141103 | 159.497691 | 583.776178 | 247.137803 | 3046.073066 | 2084.943130 | nan | nan | nan | nan | nan |
2459838 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.268737 | 1.203272 | 0.508381 | 1.878723 | 1.068149 | 2.453169 | 0.634856 | 4.343023 | 0.6667 | 0.6121 | 0.4029 | 0.000000 | 0.000000 |
2459836 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0389 | 0.0347 | 0.0011 | nan | nan |
2459835 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.245521 | -1.212970 | -0.323727 | -0.039260 | -0.593029 | 2.393393 | -0.216566 | 2.260733 | 0.0387 | 0.0340 | 0.0011 | nan | nan |
2459833 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.410551 | 1.137904 | -0.472449 | 0.335140 | 0.228777 | 1.684615 | -0.207719 | 0.967992 | 0.0382 | 0.0317 | 0.0022 | nan | nan |
2459832 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.559973 | 0.251500 | 0.594607 | 2.116011 | -0.108121 | 1.010696 | 0.015713 | 5.146140 | 0.7426 | 0.4397 | 0.5563 | 4.338859 | 3.717798 |
2459831 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.461230 | -0.006008 | -0.577436 | 0.939276 | -0.507362 | -1.006137 | -0.610243 | -0.697110 | 0.0420 | 0.0311 | 0.0024 | nan | nan |
2459830 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.614389 | 0.516685 | 0.987097 | 2.519062 | -0.899991 | 1.778120 | -0.241441 | 7.958328 | 0.7438 | 0.4568 | 0.5393 | 5.588046 | 5.544436 |
2459829 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.840611 | 1.971398 | 0.335841 | 1.533304 | 0.193840 | 17.618547 | 2.866324 | 18.062466 | 0.6839 | 0.5807 | 0.4070 | -0.000000 | -0.000000 |
2459828 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.099218 | 1.219333 | 0.333537 | 1.629622 | -0.292340 | 1.920381 | -0.053327 | 15.146312 | 0.7388 | 0.4654 | 0.5206 | 0.000000 | 0.000000 |
2459827 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.459977 | 2.369761 | 1.162331 | 6.372483 | -0.351035 | 53.593902 | 5.467158 | 10.392233 | 0.0681 | 0.0690 | 0.0071 | 0.000000 | 0.000000 |
2459826 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.051367 | 1.072025 | 1.203451 | 3.380727 | -0.348177 | 2.479084 | -0.050508 | 8.227384 | 0.0662 | 0.0634 | 0.0063 | 0.000000 | 0.000000 |
2459825 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.914444 | 0.805824 | 0.441596 | 1.370120 | -0.379607 | 0.534565 | 0.499822 | 0.382017 | 0.0618 | 0.0582 | 0.0064 | 0.969674 | 0.971127 |
2459824 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.980080 | 1.593767 | 0.568245 | 1.387652 | -0.211978 | 2.719225 | 0.267999 | 4.443763 | 0.0733 | 0.0704 | 0.0082 | 11.799264 | 35.731364 |
2459823 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.526438 | 2.341019 | 1.146881 | 2.746202 | 0.525643 | 2.309272 | 23.283651 | 3.640629 | 0.0700 | 0.0625 | 0.0064 | 668.552567 | 163.545555 |
2459822 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 2.117376 | 1.626636 | 0.911036 | 2.778353 | -0.368420 | 1.299445 | 0.830467 | 1.930488 | 0.0660 | 0.0621 | 0.0062 | 1.206533 | 1.202696 |
2459821 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 364.937981 | 365.136427 | inf | inf | 900.722131 | 893.977991 | 1328.733752 | 1354.626752 | nan | nan | nan | 0.000000 | 0.000000 |
2459820 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.025608 | 1.923951 | 0.882745 | 2.672268 | -0.887230 | 3.342306 | 0.549482 | 7.776987 | 0.0702 | 0.0630 | 0.0070 | 1.288106 | 1.282235 |
2459817 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 1.876737 | 2.647507 | 0.219375 | -0.121617 | -1.160313 | 3.825906 | -0.478677 | 0.840152 | 0.0776 | 0.0685 | 0.0058 | 1.229114 | 1.225704 |
2459816 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.658014 | 0.941476 | 0.934937 | -0.110776 | 0.152750 | 1.866995 | 0.045742 | 13.605429 | 0.8398 | 0.5577 | 0.6136 | 4.725934 | 4.573893 |
2459815 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.683024 | 1.241895 | 0.911357 | 0.166583 | -0.581248 | -0.028042 | 1.489737 | 7.664620 | 0.7842 | 0.6271 | 0.5366 | 5.893454 | 6.830163 |
2459814 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459813 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics
notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics
notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Power | 3.281143 | -0.858557 | -0.748935 | 0.971146 | 3.281143 | -0.938029 | 2.765432 | -0.180168 | 3.008118 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Power | 5.222955 | -1.655704 | -0.680751 | 1.343438 | 5.222955 | -0.660164 | 2.008016 | -0.445459 | 1.838641 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 3.142819 | -1.069889 | -0.898515 | 0.148815 | 1.897483 | -0.553108 | 3.142819 | -0.108763 | 2.699322 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Power | 2.289512 | -1.212563 | -0.781747 | 0.529694 | 2.289512 | -0.719127 | 0.221083 | -0.471208 | 2.071484 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Power | 4.430263 | -0.688480 | -1.065251 | 4.430263 | 0.814939 | 1.700331 | -0.833301 | 1.688142 | -0.358560 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | ee Power | inf | 280.134017 | 290.116436 | inf | inf | 5357.742442 | 5581.421650 | 14562.996512 | 15119.204801 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | ee Power | inf | 385.548715 | 386.261843 | inf | inf | 7416.894623 | 7291.802814 | 15685.287203 | 15489.964516 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 2.902625 | -1.174354 | -0.953482 | 0.519599 | 1.795590 | -0.715791 | 0.119777 | -0.046852 | 2.902625 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 2.479727 | -0.997411 | -1.367553 | 1.755457 | 0.672267 | 0.672277 | -0.142772 | 2.479727 | 1.525127 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 2.257907 | -1.135080 | -0.775151 | 0.247104 | 1.311624 | -1.026500 | 0.565806 | 1.644839 | 2.257907 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 9.387120 | -1.977369 | -2.106682 | -0.285794 | 1.179581 | 1.185732 | -0.895562 | 9.387120 | 1.079267 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 4.512060 | -1.266447 | -1.163898 | 0.561759 | -0.522647 | -0.231850 | -0.101796 | -0.028967 | 4.512060 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 1.004001 | -1.564474 | -1.025625 | 0.895718 | 0.291214 | -1.021781 | 1.004001 | -0.432752 | 0.946073 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 3.516324 | -1.329363 | -1.006845 | -0.302060 | 0.643874 | 0.219785 | -0.133525 | 3.516324 | -0.244977 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 1.354303 | -1.221878 | -1.501611 | 0.902812 | 0.522631 | -0.950677 | 1.354303 | -0.329400 | 0.701809 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | ee Power | 0.701892 | -0.818253 | -1.005635 | 0.701892 | -0.529868 | 0.692604 | -0.395850 | -0.420513 | 0.354107 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 1.940900 | -1.057030 | -0.741418 | -0.581605 | 0.697691 | 0.382396 | 0.791595 | 1.940900 | -0.537893 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 4.879195 | 0.584595 | -0.292592 | -0.706993 | 0.236336 | 4.879195 | 0.602393 | 1.381574 | 0.343071 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 1.034789 | -1.180886 | -0.747399 | 0.871834 | 0.985877 | -0.595043 | 1.034789 | -0.406587 | 0.420684 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 0.835018 | -0.760555 | -1.833760 | 0.719524 | 0.700276 | 0.624760 | -0.202236 | 0.835018 | -0.657083 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 2.709051 | -1.092657 | -1.774212 | 1.362141 | 0.172533 | 0.830187 | 0.118081 | 2.709051 | -0.174981 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 2.519503 | -1.088548 | -1.230367 | 2.104268 | 0.143781 | 1.174188 | -0.083023 | 2.519503 | -0.492335 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 1.549228 | -1.173476 | -1.276243 | -0.400819 | 1.543254 | -0.550323 | 1.369605 | 0.630856 | 1.549228 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 10.960125 | -0.458340 | -0.391986 | -0.115827 | 2.064346 | -0.046167 | 1.179984 | 0.650918 | 10.960125 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 8.071742 | -0.676668 | 1.027304 | -0.375047 | -0.721095 | -0.078512 | 1.370626 | 0.892141 | 8.071742 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 9.174023 | 0.472536 | 1.086652 | 0.099331 | 0.429149 | 0.274380 | 0.382903 | 2.031563 | 9.174023 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 5.254077 | 1.768846 | 0.981248 | 0.391030 | 0.659851 | 3.667255 | 0.443726 | 5.254077 | 0.546374 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 6.897841 | 1.475438 | 0.768524 | 0.696469 | 0.957942 | 0.569946 | -0.362073 | 6.897841 | 1.785580 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 3.452684 | 2.667116 | 1.384666 | -0.378383 | 1.060977 | 0.765172 | -0.052034 | 3.452684 | 1.956680 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 3.251463 | 0.514835 | 2.043929 | -0.076413 | -0.443927 | -0.932666 | 3.251463 | -0.918216 | 1.038077 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 13.436561 | 2.479626 | 0.977400 | 3.109752 | -0.639119 | 13.436561 | -0.725731 | 7.892308 | 0.761038 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 2541.315523 | 137.108832 | 280.673534 | 71.181813 | 79.738579 | 768.966471 | 1076.132774 | 1793.234222 | 2541.315523 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | ee Temporal Discontinuties | 3046.073066 | 62.923112 | 37.748650 | 159.497691 | 207.141103 | 247.137803 | 583.776178 | 2084.943130 | 3046.073066 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 4.343023 | 1.203272 | -0.268737 | 1.878723 | 0.508381 | 2.453169 | 1.068149 | 4.343023 | 0.634856 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 2.393393 | -1.212970 | 0.245521 | -0.039260 | -0.323727 | 2.393393 | -0.593029 | 2.260733 | -0.216566 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 1.684615 | 1.137904 | -0.410551 | 0.335140 | -0.472449 | 1.684615 | 0.228777 | 0.967992 | -0.207719 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 5.146140 | 0.559973 | 0.251500 | 0.594607 | 2.116011 | -0.108121 | 1.010696 | 0.015713 | 5.146140 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Power | 0.939276 | 0.461230 | -0.006008 | -0.577436 | 0.939276 | -0.507362 | -1.006137 | -0.610243 | -0.697110 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 7.958328 | 0.614389 | 0.516685 | 0.987097 | 2.519062 | -0.899991 | 1.778120 | -0.241441 | 7.958328 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 18.062466 | 1.971398 | 0.840611 | 1.533304 | 0.335841 | 17.618547 | 0.193840 | 18.062466 | 2.866324 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 15.146312 | 1.219333 | 2.099218 | 1.629622 | 0.333537 | 1.920381 | -0.292340 | 15.146312 | -0.053327 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 53.593902 | 1.459977 | 2.369761 | 1.162331 | 6.372483 | -0.351035 | 53.593902 | 5.467158 | 10.392233 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 8.227384 | 1.072025 | 1.051367 | 3.380727 | 1.203451 | 2.479084 | -0.348177 | 8.227384 | -0.050508 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | ee Shape | 1.914444 | 0.805824 | 1.914444 | 1.370120 | 0.441596 | 0.534565 | -0.379607 | 0.382017 | 0.499822 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 4.443763 | 0.980080 | 1.593767 | 0.568245 | 1.387652 | -0.211978 | 2.719225 | 0.267999 | 4.443763 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | ee Temporal Discontinuties | 23.283651 | 2.341019 | 1.526438 | 2.746202 | 1.146881 | 2.309272 | 0.525643 | 3.640629 | 23.283651 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Power | 2.778353 | 2.117376 | 1.626636 | 0.911036 | 2.778353 | -0.368420 | 1.299445 | 0.830467 | 1.930488 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Power | inf | 365.136427 | 364.937981 | inf | inf | 893.977991 | 900.722131 | 1354.626752 | 1328.733752 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 7.776987 | 1.025608 | 1.923951 | 0.882745 | 2.672268 | -0.887230 | 3.342306 | 0.549482 | 7.776987 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Variability | 3.825906 | 1.876737 | 2.647507 | 0.219375 | -0.121617 | -1.160313 | 3.825906 | -0.478677 | 0.840152 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 13.605429 | 0.941476 | 1.658014 | -0.110776 | 0.934937 | 1.866995 | 0.152750 | 13.605429 | 0.045742 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Temporal Discontinuties | 7.664620 | 1.241895 | 1.683024 | 0.166583 | 0.911357 | -0.028042 | -0.581248 | 7.664620 | 1.489737 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
177 | N12 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |