2025-01-27_00:12:19 [INFO] : __main__ : Starting main()
2025-01-27_00:12:19 [INFO] : analysis.StatisticsDatabase.aircraft : Control Experiment: 2025-01-19
2025-01-27_00:12:19 [INFO] : analysis.StatisticsDatabase.aircraft : ('Non-control Experiment(s): ', ['2025-01-26'])
2025-01-27_00:12:19 [INFO] : __main__ : 
2025-01-27_00:12:19 [INFO] : __main__ : Analyzing StatsDB for aircraft
2025-01-27_00:12:19 [INFO] : analysis.StatisticsDatabase.aircraft : =====================================================
2025-01-27_00:12:19 [INFO] : analysis.StatisticsDatabase.aircraft : Construct pandas dataframe from static database files
2025-01-27_00:12:19 [INFO] : analysis.StatisticsDatabase.aircraft : =====================================================
2025-01-27_00:12:19 [INFO] : analysis.StatisticsDatabase.aircraft : Reading intermediate statistics files
2025-01-27_00:12:19 [INFO] : analysis.StatisticsDatabase.aircraft : with 128 out of 256 processors
Generating CY-type figures
control: 2025-01-19
experiments: ['2025-01-19:jwittig_3denvar-60-iter_O120km_VarBC.2025-01-19_cron', '2025-01-26:jwittig_3denvar-60-iter_O120km_VarBC.2025-01-26_cron']
obs omb/oma None 2018-04-21 18:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-15 00:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-15 06:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-15 12:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-15 18:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-16 00:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-16 06:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-16 12:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-16 18:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-17 00:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-17 06:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-17 12:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-17 18:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-18 00:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-18 06:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-18 12:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-18 18:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-19 00:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-19 06:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-19 12:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-19 18:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-20 00:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-20 06:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-20 12:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-20 18:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-21 00:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-21 06:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-21 12:00:00
2025-01-27_00:12:20 [INFO] : analysis.StatisticsDatabase.aircraft :   Working on cycle time 2018-04-21 18:00:00
2025-01-27_00:12:27 [INFO] : analysis.StatisticsDatabase.aircraft : Concatenating statistics sub-dictionaries from multiple processors
2025-01-27_00:12:27 [INFO] : analysis.StatisticsDatabase.aircraft : Constructing a dataframe from statistics dictionary
2025-01-27_00:12:28 [INFO] : analysis.StatisticsDatabase.aircraft : Sorting the dataframe index
2025-01-27_00:12:28 [INFO] : analysis.StatisticsDatabase.aircraft : Extracting index values
2025-01-27_00:12:30 [INFO] : analysis.StatisticsDatabase.aircraft : availableDiagnostics: ['sigmaob', 'omb', 'rltv_omb']
2025-01-27_00:12:30 [INFO] : analysis.Analyses.aircraft : Analyses Constructed
2025-01-27_00:12:30 [INFO] : analysis.Analyses.aircraft : Entering Analyses.analyze()
2025-01-27_00:12:30 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : analyze()
2025-01-27_00:12:30 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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, :]
2025-01-27_00:12:31 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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, :]
2025-01-27_00:12:33 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
2025-01-27_00:12:34 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-01-27_00:12:34 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
2025-01-27_00:12:34 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-01-27_00:12:35 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
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2025-01-27_00:12:36 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
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2025-01-27_00:12:36 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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, :]
/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, :]
2025-01-27_00:12:36 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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, :]
2025-01-27_00:12:38 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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, :]
2025-01-27_00:12:39 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
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2025-01-27_00:12:40 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
2025-01-27_00:12:41 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-01-27_00:12:41 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
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2025-01-27_00:12:42 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
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2025-01-27_00:12:43 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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, :]
/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, :]
2025-01-27_00:12:43 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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, :]
2025-01-27_00:12:45 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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, :]
2025-01-27_00:12:46 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
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2025-01-27_00:12:47 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
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2025-01-27_00:12:48 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
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2025-01-27_00:12:49 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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/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/basic_plot_functions.py:414: RuntimeWarning: invalid value encountered in power
  return np.power(x, 1./pressureExponent)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2663: RuntimeWarning: divide by zero encountered in double_scalars
  y_scale = 1.0 / inh
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2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:49 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:50 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:50 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:50 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:50 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:50 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:50 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:50 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:50 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-01-27_00:12:50 [INFO] : analysis.AnalysisBase.aircraft.BinValAxisProfileDiffCI : 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, :]
/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, :]
2025-01-27_00:12:50 [INFO] : analysis.Analyses.aircraft : Exiting Analyses.analyze()
2025-01-27_00:12:50 [INFO] : __main__ : Finished main() successfully