2025-02-10_00:12:45 [INFO] : __main__ : Starting main()
2025-02-10_00:12:45 [INFO] : analysis.StatisticsDatabase.aircraft : Control Experiment: 2025-02-02
2025-02-10_00:12:45 [INFO] : analysis.StatisticsDatabase.aircraft : ('Non-control Experiment(s): ', ['2025-02-09'])
2025-02-10_00:12:45 [INFO] : __main__ : 
2025-02-10_00:12:45 [INFO] : __main__ : Analyzing StatsDB for aircraft
2025-02-10_00:12:45 [INFO] : analysis.StatisticsDatabase.aircraft : =====================================================
2025-02-10_00:12:45 [INFO] : analysis.StatisticsDatabase.aircraft : Construct pandas dataframe from static database files
2025-02-10_00:12:45 [INFO] : analysis.StatisticsDatabase.aircraft : =====================================================
2025-02-10_00:12:45 [INFO] : analysis.StatisticsDatabase.aircraft : Reading intermediate statistics files
2025-02-10_00:12:45 [INFO] : analysis.StatisticsDatabase.aircraft : 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_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-15 00:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-15 06:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-15 12:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-15 18:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-16 00:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-16 06:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-16 12:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-16 18:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-17 00:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-17 06:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-17 12:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-17 18:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-18 00:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-18 06:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-18 12:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-18 18:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-19 00:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-19 06:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-19 12:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-19 18:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-20 00:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-20 06:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-20 12:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-20 18:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-21 00:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-21 06:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-21 12:00:00
2025-02-10_00:12:46 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-21 18:00:00
2025-02-10_00:12:55 [INFO] : analysis.StatisticsDatabase.aircraft : Concatenating statistics sub-dictionaries from multiple processors
2025-02-10_00:12:55 [INFO] : analysis.StatisticsDatabase.aircraft : Constructing a dataframe from statistics dictionary
2025-02-10_00:12:57 [INFO] : analysis.StatisticsDatabase.aircraft : Sorting the dataframe index
2025-02-10_00:12:57 [INFO] : analysis.StatisticsDatabase.aircraft : Extracting index values
2025-02-10_00:12:59 [INFO] : analysis.StatisticsDatabase.aircraft : availableDiagnostics: ['sigmaob', 'omb', 'rltv_omb']
2025-02-10_00:12:59 [INFO] : analysis.Analyses.aircraft : Analyses Constructed
2025-02-10_00:12:59 [INFO] : analysis.Analyses.aircraft : Entering Analyses.analyze()
2025-02-10_00:12:59 [INFO] : analysis.AnalysisBase.aircraft.CYandBinValAxes2D : analyze()
2025-02-10_00:12:59 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:01 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:02 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:04 [INFO] : analysis.AnalysisBase.aircraft.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])
2025-02-10_00:13:06 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:07 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:09 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:09 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:17 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:25 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:32 [INFO] : analysis.AnalysisBase.aircraft.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])
2025-02-10_00:13:38 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:46 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:53 [INFO] : analysis.AnalysisBase.aircraft.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_00:13:53 [INFO] : analysis.AnalysisBase.aircraft.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_00:14:01 [INFO] : analysis.AnalysisBase.aircraft.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_00:14:09 [INFO] : analysis.AnalysisBase.aircraft.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_00:14:17 [INFO] : analysis.AnalysisBase.aircraft.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])
2025-02-10_00:14:22 [INFO] : analysis.AnalysisBase.aircraft.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_00:14:30 [INFO] : analysis.AnalysisBase.aircraft.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_00:14:37 [INFO] : analysis.AnalysisBase.aircraft.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_00:14:37 [INFO] : analysis.Analyses.aircraft : Exiting Analyses.analyze()
2025-02-10_00:14:37 [INFO] : __main__ : Finished main() successfully