2025-02-10_00:11:11 [INFO] : __main__ : Starting main()
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes : Control Experiment: 2025-02-02
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes : ('Non-control Experiment(s): ', ['2025-02-09'])
2025-02-10_00:11:11 [INFO] : __main__ : 
2025-02-10_00:11:11 [INFO] : __main__ : Analyzing StatsDB for sondes
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes : =====================================================
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes : Construct pandas dataframe from static database files
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes : =====================================================
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes : Reading intermediate statistics files
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes : with 128 out of 256 processors
Generating CY-type figures
control: 2025-02-02
experiments: ['2025-02-02:jwittig_3denvar-60-iter_O120km_VarBC.2025-02-02_cron', '2025-02-09:jwittig_3denvar-60-iter_O120km_VarBC.2025-02-09_cron']
obs omb/oma None 2018-04-21 18:00:00
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-15 00:00:00
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-15 06:00:00
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-15 12:00:00
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-15 18:00:00
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-16 00:00:00
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-16 06:00:00
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-16 12:00:00
2025-02-10_00:11:11 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-16 18:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-17 00:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-17 06:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-17 12:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-17 18:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-18 00:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-18 06:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-18 12:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-18 18:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-19 00:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-19 06:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-19 12:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-19 18:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-20 00:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-20 06:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-20 12:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-20 18:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-21 00:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-21 06:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-21 12:00:00
2025-02-10_00:11:12 [INFO] : analysis.StatisticsDatabase.sondes :   Working on cycle time 2018-04-21 18:00:00
2025-02-10_00:11:18 [INFO] : analysis.StatisticsDatabase.sondes : Concatenating statistics sub-dictionaries from multiple processors
2025-02-10_00:11:18 [INFO] : analysis.StatisticsDatabase.sondes : Constructing a dataframe from statistics dictionary
2025-02-10_00:11:20 [INFO] : analysis.StatisticsDatabase.sondes : Sorting the dataframe index
2025-02-10_00:11:20 [INFO] : analysis.StatisticsDatabase.sondes : Extracting index values
2025-02-10_00:11:21 [INFO] : analysis.StatisticsDatabase.sondes : availableDiagnostics: ['rltv_omb', 'omb', 'sigmaob']
2025-02-10_00:11:21 [INFO] : analysis.Analyses.sondes : Analyses Constructed
2025-02-10_00:11:21 [INFO] : analysis.Analyses.sondes : Entering Analyses.analyze()
2025-02-10_00:11:21 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : analyze()
2025-02-10_00:11:21 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, lat, P=300hPa
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:11:29 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, lat, identity
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:11:37 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, NXTro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:11:44 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, SXTro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:11:52 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, Tro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:11:59 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, identity
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:07 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, P=300hPa
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
2025-02-10_00:12:07 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, lat, P=300hPa
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:09 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, lat, identity
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:11 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, NXTro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:13 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, SXTro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:14 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, Tro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:16 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, identity
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:18 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, P=300hPa
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
2025-02-10_00:12:18 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, lat, P=300hPa
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:26 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, lat, identity
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:34 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, NXTro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:41 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, SXTro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:49 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, Tro
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:12:56 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, identity
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-02-10_00:13:04 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, P=300hPa
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)`
  return self.df.loc[Loc, :]
2025-02-10_00:13:04 [INFO] : analysis.Analyses.sondes : Exiting Analyses.analyze()
2025-02-10_00:13:04 [INFO] : __main__ : Finished main() successfully