2025-04-15_02:05:50 [INFO] : __main__ : Starting main() 2025-04-15_02:05:50 [INFO] : analysis.StatisticsDatabase.sondes : Control Experiment: 2025-04-13 2025-04-15_02:05:50 [INFO] : analysis.StatisticsDatabase.sondes : ('Non-control Experiment(s): ', ['2025-04-14']) 2025-04-15_02:05:50 [INFO] : __main__ :  2025-04-15_02:05:50 [INFO] : __main__ : Analyzing StatsDB for sondes 2025-04-15_02:05:50 [INFO] : analysis.StatisticsDatabase.sondes : ===================================================== 2025-04-15_02:05:50 [INFO] : analysis.StatisticsDatabase.sondes : Construct pandas dataframe from static database files 2025-04-15_02:05:50 [INFO] : analysis.StatisticsDatabase.sondes : ===================================================== 2025-04-15_02:05:50 [INFO] : analysis.StatisticsDatabase.sondes : Reading intermediate statistics files 2025-04-15_02:05:50 [INFO] : analysis.StatisticsDatabase.sondes : with 128 out of 128 processors Generating CY-type figures control: 2025-04-13 experiments: ['2025-04-13:jwittig_3denvar-60-iter_O120km_VarBC.2025-04-13_cron', '2025-04-14:jwittig_3denvar-60-iter_O120km_VarBC.2025-04-14_cron'] obs omb/oma None 2018-04-21 18:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-15 00:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-15 06:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-15 12:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-15 18:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-16 00:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-16 06:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-16 12:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-16 18:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-17 00:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-17 06:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-17 12:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-17 18:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-18 00:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-18 06:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-18 12:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-18 18:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-19 00:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-19 06:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-19 12:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-19 18:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-20 00:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-20 06:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-20 12:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-20 18:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-21 00:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-21 06:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-21 12:00:00 2025-04-15_02:05:52 [INFO] : analysis.StatisticsDatabase.sondes : Working on cycle time 2018-04-21 18:00:00 2025-04-15_02:06:10 [INFO] : analysis.StatisticsDatabase.sondes : Concatenating statistics sub-dictionaries from multiple processors 2025-04-15_02:06:10 [INFO] : analysis.StatisticsDatabase.sondes : Constructing a dataframe from statistics dictionary 2025-04-15_02:06:11 [INFO] : analysis.StatisticsDatabase.sondes : Sorting the dataframe index 2025-04-15_02:06:11 [INFO] : analysis.StatisticsDatabase.sondes : Extracting index values 2025-04-15_02:06:12 [INFO] : analysis.StatisticsDatabase.sondes : availableDiagnostics: ['omb', 'sigmaob', 'rltv_omb'] 2025-04-15_02:06:12 [INFO] : analysis.Analyses.sondes : Analyses Constructed 2025-04-15_02:06:12 [INFO] : analysis.Analyses.sondes : Entering Analyses.analyze() 2025-04-15_02:06:12 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : analyze() 2025-04-15_02:06:12 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, lat, P=300hPa /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:13 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, lat, identity /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:14 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, NXTro /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:16 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, SXTro /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:17 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, Tro /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:18 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, identity /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:19 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : sigmaob, P, P=300hPa /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] 2025-04-15_02:06:19 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, lat, P=300hPa /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:24 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, lat, identity /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:29 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, NXTro /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:34 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, SXTro /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:38 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, Tro /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:43 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, identity /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:48 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : rltv_omb, P, P=300hPa /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] 2025-04-15_02:06:48 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, lat, P=300hPa /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:53 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, lat, identity /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:06:58 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, NXTro /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:07:02 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, SXTro /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:07:07 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, Tro /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:07:12 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, identity /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars dmax = np.nanmax([dmax, 1.0/dmin]) 2025-04-15_02:07:16 [INFO] : analysis.AnalysisBase.sondes.CYandBinValAxes2D : omb, P, P=300hPa /glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/StatisticsDatabase.py:459: FutureWarning: The behavior of indexing on a MultiIndex with a nested sequence of labels is deprecated and will change in a future version. `series.loc[label, sequence]` will raise if any members of 'sequence' or not present in the index's second level. To retain the old behavior, use `series.index.isin(sequence, level=1)` return self.df.loc[Loc, :] 2025-04-15_02:07:16 [INFO] : analysis.Analyses.sondes : Exiting Analyses.analyze() 2025-04-15_02:07:16 [INFO] : __main__ : Finished main() successfully