2025-05-20_15:45:28 [INFO] : __main__ : Starting main()
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind : Control Experiment: 2024-12-31
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind : ('Non-control Experiment(s): ', ['4-21-mpas8.2.2'])
2025-05-20_15:45:28 [INFO] : __main__ : 
2025-05-20_15:45:28 [INFO] : __main__ : Analyzing StatsDB for satwind
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind : =====================================================
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind : Construct pandas dataframe from static database files
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind : =====================================================
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind : Reading intermediate statistics files
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind : with 128 out of 128 processors
Generating CY-type figures
control: 2024-12-31
experiments: ['2024-12-31:jwittig_3denvar-60-iter_O120km_VarBC.2024-12-31.smiol_cron', '4-21-mpas8.2.2:jwittig_3denvar-60-iter_O120km_VarBC_model8-2-2']
obs omb/oma None 2018-04-21 18:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-15 00:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-15 06:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-15 12:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-15 18:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-16 00:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-16 06:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-16 12:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-16 18:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-17 00:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-17 06:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-17 12:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-17 18:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-18 00:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-18 06:00:00
2025-05-20_15:45:28 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-18 12:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-18 18:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-19 00:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-19 06:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-19 12:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-19 18:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-20 00:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-20 06:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-20 12:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-20 18:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-21 00:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-21 06:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-21 12:00:00
2025-05-20_15:45:29 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-21 18:00:00
2025-05-20_15:45:37 [INFO] : analysis.StatisticsDatabase.satwind : Concatenating statistics sub-dictionaries from multiple processors
2025-05-20_15:45:37 [INFO] : analysis.StatisticsDatabase.satwind : Constructing a dataframe from statistics dictionary
2025-05-20_15:45:38 [INFO] : analysis.StatisticsDatabase.satwind : Sorting the dataframe index
2025-05-20_15:45:38 [INFO] : analysis.StatisticsDatabase.satwind : Extracting index values
2025-05-20_15:45:40 [INFO] : analysis.StatisticsDatabase.satwind : availableDiagnostics: ['omb', 'sigmaob']
2025-05-20_15:45:40 [INFO] : analysis.Analyses.satwind : Analyses Constructed
2025-05-20_15:45:40 [INFO] : analysis.Analyses.satwind : Entering Analyses.analyze()
2025-05-20_15:45:40 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : analyze()
2025-05-20_15:45:40 [INFO] : analysis.AnalysisBase.satwind.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, :]
2025-05-20_15:45:41 [INFO] : analysis.AnalysisBase.satwind.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, :]
2025-05-20_15:45:42 [INFO] : analysis.AnalysisBase.satwind.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
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType240
/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, :]
2025-05-20_15:45:42 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType241
/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, :]
2025-05-20_15:45:42 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType242
/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
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:42 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType243
/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
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:43 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType244
/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, :]
2025-05-20_15:45:43 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType245
/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
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:43 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType246
/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
2025-05-20_15:45:43 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:44 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType247
/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, :]
2025-05-20_15:45:44 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType250
/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
2025-05-20_15:45:44 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:44 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType251
/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, :]
2025-05-20_15:45:44 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType252
/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
2025-05-20_15:45:44 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:44 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType253
/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
2025-05-20_15:45:45 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:45 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType254
/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
2025-05-20_15:45:45 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:45 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType255
/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, :]
2025-05-20_15:45:45 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType257
/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
2025-05-20_15:45:45 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:45 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType258
/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
2025-05-20_15:45:46 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:46 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType259
/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
2025-05-20_15:45:46 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:46 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, NXTro-ObsType260
/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, :]
2025-05-20_15:45:46 [INFO] : analysis.AnalysisBase.satwind.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
2025-05-20_15:45:46 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:47 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType240
/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, :]
2025-05-20_15:45:47 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType241
/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, :]
2025-05-20_15:45:47 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType242
/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
2025-05-20_15:45:47 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:47 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType243
/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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2025-05-20_15:45:47 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType244
/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, :]
2025-05-20_15:45:47 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType245
/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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2025-05-20_15:45:48 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType246
/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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2025-05-20_15:45:48 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType247
/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, :]
2025-05-20_15:45:48 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType250
/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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2025-05-20_15:45:49 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType251
/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, :]
2025-05-20_15:45:49 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType252
/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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2025-05-20_15:45:49 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType253
/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
2025-05-20_15:45:49 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:49 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType254
/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
2025-05-20_15:45:50 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:50 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType255
/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, :]
2025-05-20_15:45:50 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType257
/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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2025-05-20_15:45:50 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType258
/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
2025-05-20_15:45:50 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:50 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType259
/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
2025-05-20_15:45:51 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:51 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, SXTro-ObsType260
/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, :]
2025-05-20_15:45:51 [INFO] : analysis.AnalysisBase.satwind.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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2025-05-20_15:45:51 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType240
/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, :]
2025-05-20_15:45:51 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType241
/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, :]
2025-05-20_15:45:51 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType242
/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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2025-05-20_15:45:52 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType243
/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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2025-05-20_15:45:52 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType244
/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, :]
2025-05-20_15:45:52 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType245
/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
2025-05-20_15:45:53 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:53 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType246
/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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2025-05-20_15:45:53 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType247
/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, :]
2025-05-20_15:45:53 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType250
/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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2025-05-20_15:45:53 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType251
/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, :]
2025-05-20_15:45:54 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType252
/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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2025-05-20_15:45:54 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType253
/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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2025-05-20_15:45:54 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType254
/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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2025-05-20_15:45:55 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType255
/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, :]
2025-05-20_15:45:55 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType257
/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, :]
2025-05-20_15:45:55 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType258
/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, :]
2025-05-20_15:45:55 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType259
/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, :]
2025-05-20_15:45:55 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : omb, P, Tro-ObsType260
/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, :]
2025-05-20_15:45:55 [INFO] : analysis.AnalysisBase.satwind.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
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:55 [INFO] : analysis.AnalysisBase.satwind.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, :]
2025-05-20_15:45:55 [INFO] : analysis.AnalysisBase.satwind.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, :]
2025-05-20_15:45:56 [INFO] : analysis.AnalysisBase.satwind.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, :]
2025-05-20_15:45:57 [INFO] : analysis.AnalysisBase.satwind.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
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType240
/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, :]
2025-05-20_15:45:57 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType241
/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, :]
2025-05-20_15:45:57 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType242
/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
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:57 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType243
/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
2025-05-20_15:45:58 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:58 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:58 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:58 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:45:58 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:58 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType244
/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, :]
2025-05-20_15:45:58 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType245
/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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2025-05-20_15:45:58 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType246
/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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2025-05-20_15:45:59 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType247
/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, :]
2025-05-20_15:45:59 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType250
/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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2025-05-20_15:45:59 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType251
/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, :]
2025-05-20_15:45:59 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType252
/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
2025-05-20_15:45:59 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:45:59 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType253
/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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2025-05-20_15:46:00 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType254
/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
2025-05-20_15:46:00 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:00 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType255
/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, :]
2025-05-20_15:46:00 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType257
/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
2025-05-20_15:46:01 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:01 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType258
/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
2025-05-20_15:46:01 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:01 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType259
/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
2025-05-20_15:46:01 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:01 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, NXTro-ObsType260
/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, :]
2025-05-20_15:46:01 [INFO] : analysis.AnalysisBase.satwind.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
2025-05-20_15:46:02 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:02 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType240
/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, :]
2025-05-20_15:46:02 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType241
/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, :]
2025-05-20_15:46:02 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType242
/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
2025-05-20_15:46:02 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:02 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType243
/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
2025-05-20_15:46:03 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:03 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType244
/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, :]
2025-05-20_15:46:03 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType245
/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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2025-05-20_15:46:03 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType246
/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
2025-05-20_15:46:03 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:03 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType247
/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, :]
2025-05-20_15:46:03 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType250
/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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2025-05-20_15:46:04 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType251
/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, :]
2025-05-20_15:46:04 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType252
/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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2025-05-20_15:46:04 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType253
/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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2025-05-20_15:46:05 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType254
/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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2025-05-20_15:46:05 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType255
/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, :]
2025-05-20_15:46:05 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType257
/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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2025-05-20_15:46:05 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType258
/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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2025-05-20_15:46:06 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType259
/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
2025-05-20_15:46:06 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:06 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, SXTro-ObsType260
/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, :]
2025-05-20_15:46:06 [INFO] : analysis.AnalysisBase.satwind.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
2025-05-20_15:46:06 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:06 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType240
/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, :]
2025-05-20_15:46:06 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType241
/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, :]
2025-05-20_15:46:07 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType242
/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
2025-05-20_15:46:07 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:07 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType243
/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
2025-05-20_15:46:07 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:07 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType244
/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, :]
2025-05-20_15:46:07 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType245
/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
2025-05-20_15:46:08 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:08 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType246
/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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2025-05-20_15:46:08 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType247
/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, :]
2025-05-20_15:46:08 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType250
/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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2025-05-20_15:46:08 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType251
/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, :]
2025-05-20_15:46:08 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType252
/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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2025-05-20_15:46:09 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType253
/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
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:09 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType254
/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
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
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2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:09 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType255
/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, :]
2025-05-20_15:46:09 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType257
/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, :]
2025-05-20_15:46:10 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType258
/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, :]
2025-05-20_15:46:10 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType259
/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, :]
2025-05-20_15:46:10 [INFO] : analysis.AnalysisBase.satwind.BinValAxisProfileDiffCI : sigmaob, P, Tro-ObsType260
/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, :]
2025-05-20_15:46:10 [INFO] : analysis.AnalysisBase.satwind.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
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [WARNING] : matplotlib.text : posx and posy should be finite values
2025-05-20_15:46:10 [INFO] : analysis.AnalysisBase.satwind.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, :]
2025-05-20_15:46:10 [INFO] : analysis.Analyses.satwind : Exiting Analyses.analyze()
2025-05-20_15:46:10 [INFO] : __main__ : Finished main() successfully