2025-01-27_00:11:36 [INFO] : __main__ : Starting main()
2025-01-27_00:11:36 [INFO] : analysis.StatisticsDatabase.satwind : Control Experiment: 2025-01-19
2025-01-27_00:11:36 [INFO] : analysis.StatisticsDatabase.satwind : ('Non-control Experiment(s): ', ['2025-01-26'])
2025-01-27_00:11:36 [INFO] : __main__ : 
2025-01-27_00:11:36 [INFO] : __main__ : Analyzing StatsDB for satwind
2025-01-27_00:11:36 [INFO] : analysis.StatisticsDatabase.satwind : =====================================================
2025-01-27_00:11:36 [INFO] : analysis.StatisticsDatabase.satwind : Construct pandas dataframe from static database files
2025-01-27_00:11:36 [INFO] : analysis.StatisticsDatabase.satwind : =====================================================
2025-01-27_00:11:36 [INFO] : analysis.StatisticsDatabase.satwind : Reading intermediate statistics files
2025-01-27_00:11:36 [INFO] : analysis.StatisticsDatabase.satwind : with 128 out of 256 processors
Generating CY-type figures
control: 2025-01-19
experiments: ['2025-01-19:jwittig_3denvar-60-iter_O120km_VarBC.2025-01-19_cron', '2025-01-26:jwittig_3denvar-60-iter_O120km_VarBC.2025-01-26_cron']
obs omb/oma None 2018-04-21 18:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-15 00:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-15 06:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-15 12:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-15 18:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-16 00:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-16 06:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-16 12:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-16 18:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-17 00:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-17 06:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-17 12:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-17 18:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-18 00:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-18 06:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-18 12:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-18 18:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-19 00:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-19 06:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-19 12:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-19 18:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-20 00:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-20 06:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-20 12:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-20 18:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-21 00:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-21 06:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-21 12:00:00
2025-01-27_00:11:37 [INFO] : analysis.StatisticsDatabase.satwind :   Working on cycle time 2018-04-21 18:00:00
2025-01-27_00:11:44 [INFO] : analysis.StatisticsDatabase.satwind : Concatenating statistics sub-dictionaries from multiple processors
2025-01-27_00:11:44 [INFO] : analysis.StatisticsDatabase.satwind : Constructing a dataframe from statistics dictionary
2025-01-27_00:11:46 [INFO] : analysis.StatisticsDatabase.satwind : Sorting the dataframe index
2025-01-27_00:11:46 [INFO] : analysis.StatisticsDatabase.satwind : Extracting index values
2025-01-27_00:11:49 [INFO] : analysis.StatisticsDatabase.satwind : availableDiagnostics: ['sigmaob', 'omb']
2025-01-27_00:11:49 [INFO] : analysis.Analyses.satwind : Analyses Constructed
2025-01-27_00:11:49 [INFO] : analysis.Analyses.satwind : Entering Analyses.analyze()
2025-01-27_00:11:49 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : analyze()
2025-01-27_00:11:49 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:11:50 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:11:51 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:11:52 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:11:52 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:11:52 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:11:53 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:11:54 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:11:54 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:11:55 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:11:56 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:11:56 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:11:57 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:11:57 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:11:58 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:11:59 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:00 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:00 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:01 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:02 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:03 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:03 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:12:04 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:04 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:04 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:05 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:06 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:06 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:07 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:08 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:08 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:09 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:09 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:10 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:11 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:12 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:12 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:13 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:14 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:14 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:15 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:12:15 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:15 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:16 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:17 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:17 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:18 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:18 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:19 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:19 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:20 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:21 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:21 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:22 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:23 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:23 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:23 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:23 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:24 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:24 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:12:25 [INFO] : analysis.AnalysisBase.satwind.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, :]
2025-01-27_00:12:25 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:12:29 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:12:33 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:12:37 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:37 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:37 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:40 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:44 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:44 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:48 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:52 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:52 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:12:56 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:12:56 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:00 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:04 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:08 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:13:08 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:12 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:15 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:19 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:13:19 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:13:23 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:13:23 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:13:24 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:27 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:31 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:13:31 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:35 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:39 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:13:39 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:43 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:13:43 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:47 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:50 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:54 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:13:54 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:13:58 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:02 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:05 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:06 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:14:09 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:10 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:10 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:13 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:17 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:17 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:21 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:25 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:25 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:29 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:29 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:33 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:37 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
/glade/derecho/scratch/jwittig/repos-s/mpas-jedi-cron/graphics/analysis/AnalysisBase.py:296: RuntimeWarning: divide by zero encountered in double_scalars
  dmax = np.nanmax([dmax, 1.0/dmin])
2025-01-27_00:14:41 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:41 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:41 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:41 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:41 [INFO] : analysis.AnalysisBase.satwind.CYandBinValAxes2D : 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/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:67: RuntimeWarning: divide by zero encountered in double_scalars
  fig.patch.set_bounds(x0 / w1, y0 / h1,
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/_tight_bbox.py:68: RuntimeWarning: divide by zero encountered in double_scalars
  fig.bbox.width / w1, fig.bbox.height / h1)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/patches.py:737: RuntimeWarning: invalid value encountered in double_scalars
  y1 = self.convert_yunits(self._y0 + self._height)
/glade/u/apps/opt/conda/envs/npl-2023a/lib/python3.9/site-packages/matplotlib/transforms.py:2047: RuntimeWarning: invalid value encountered in double_scalars
  self._mtx[1, 2] += ty
2025-01-27_00:14:41 [INFO] : analysis.AnalysisBase.satwind.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])
2025-01-27_00:14:45 [INFO] : analysis.AnalysisBase.satwind.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, :]
2025-01-27_00:14:45 [INFO] : analysis.Analyses.satwind : Exiting Analyses.analyze()
2025-01-27_00:14:45 [INFO] : __main__ : Finished main() successfully