Fix 4 problems in mon_data_space and map-scatter plots (#206)

This PR fixes these problems:

1. `mon_data_space.py` now adds empty lat and lon values for each level
when the requested data file is not found. A value of `1` was used
heretofore, which somehow worked. It does not work with code built on
Rocky8 though, hence this change.
2. `emcpy_map_scatter.py` now removes 'level' from the plot object --
emcpy doesn't recognize level and fails if it's in the plot object's
configuration. How this ever worked is not clear to me, but it does with
this change.
3. `dynamic_config.py` now has a check on the data before it tries to
sort the data. Without this check when there was no data an exception
resulted.
4. `map_scatter.py` now includes `level` when selecting the specific
data for a plot. Without this change only plots with a single level
worked; all others had a dimension mismatch and resulting exception in
the color bar generation. This one was totally my fault -- I installed a
similar fix in `line_plot.py` months ago and asked myself if I needed to
change any other plots? Nah, don't think so. Ooops.



Close #205

src/eva/data/mon_data_space.py

@@ -800,7 +800,9 @@ def read_stn_ieee(self, file_name, coords, dims, ndims_used, dims_arr,
             f.close()
 
         else:
-            rtn_array = np.zeros((len(vars), 1, 1), float)
+            rtn_array = np.zeros((len(vars), dims[dims_arr[0]], 1), float)
+            lat.append(0)
+            lon.append(0)
             dims['ydef'] = 1
 
         rtn_lat = np.asarray(lat).reshape(-1)

src/eva/plotting/batch/base/diagnostics/map_scatter.py

@@ -51,18 +51,24 @@ def __init__(self, config, logger, dataobj):
     def data_prep(self):
         """ Preparing data for configure_plot  """
 
+        # Optionally get the channel|level|datatype to plot
         channel = None
         if 'channel' in self.config['data']:
             channel = self.config['data'].get('channel')
+        level = None
+        if 'level' in self.config:
+            level = self.config.get('level')
+
         lonvar_cgv = self.config['longitude']['variable'].split('::')
         lonvar = self.dataobj.get_variable_data(lonvar_cgv[0], lonvar_cgv[1], lonvar_cgv[2], None)
         lonvar = slice_var_from_str(self.config['longitude'], lonvar, self.logger)
         latvar_cgv = self.config['latitude']['variable'].split('::')
         latvar = self.dataobj.get_variable_data(latvar_cgv[0], latvar_cgv[1], latvar_cgv[2], None)
         latvar = slice_var_from_str(self.config['latitude'], latvar, self.logger)
+
         datavar_cgv = self.config['data']['variable'].split('::')
         datavar = self.dataobj.get_variable_data(datavar_cgv[0], datavar_cgv[1],
-                                                 datavar_cgv[2], channel)
+                                                 datavar_cgv[2], channel, level)
         datavar = slice_var_from_str(self.config['data'], datavar, self.logger)
         self.lonvar = lonvar.flatten()
         self.latvar = latvar.flatten()

src/eva/plotting/batch/base/plot_tools/dynamic_config.py

@@ -74,7 +74,8 @@ def vminvmaxcmap(logger, option_dict, plots_dict, data_collections):
                                                  varname_cgv[2], channel, level, datatype)
 
     # Reorder the data array
-    datavar = np.sort(datavar)
+    if datavar.size > 1:
+        datavar = np.sort(datavar)
 
     # Decide how many values to throw out on each end of the dataset
     n = datavar.size

src/eva/plotting/batch/emcpy/diagnostics/emcpy_map_scatter.py

@@ -33,7 +33,7 @@ def configure_plot(self):
         layer_schema = self.config.get('schema', os.path.join(return_eva_path(), 'plotting',
                                        'batch', 'emcpy', 'defaults', 'map_scatter.yaml'))
         new_config = get_schema(layer_schema, self.config, self.logger)
-        delvars = ['longitude', 'latitude', 'data', 'type', 'schema']
+        delvars = ['longitude', 'latitude', 'data', 'type', 'schema', 'level']
         for d in delvars:
             new_config.pop(d, None)
         self.plotobj = update_object(self.plotobj, new_config, self.logger)