bug fix: dont load default maps to plot from default config

track_analyzer/prepare.py

@@ -1159,9 +1159,10 @@ def load_config(data_dir, verbose=False):
     return out_dict
 
 
-def make_map_config(data_dir=None, export_config=True):
+def make_map_config(data_dir=None, export_config=True, empty_run=True):
     """
     Generate a list of dictionaries containing the parameters used to run map_analysis.
+    empty_run allows not to use the default parameters to analyze and to skip the analysis
     """
 
     # config to create grid using prepare.make_grid()
@@ -1184,6 +1185,12 @@ def make_map_config(data_dir=None, export_config=True):
 
     # config of scalar field to plot. Each key is a parameter to plot and it stores a dict containing the plotting config for this specific parameter
     scalar_fields = {'vx': {'vlim': None,  # value limits to display on the color map
+                            'cmap': "plasma"  # color map
+                            },
+                    'vy': {'vlim': None,  # value limits to display on the color map
+                            'cmap': "plasma"  # color map
+                            },
+                    'v': {'vlim': None,  # value limits to display on the color map
                             'cmap': "plasma"  # color map
                             }
                      }
@@ -1202,6 +1209,12 @@ def make_map_config(data_dir=None, export_config=True):
                               }
                    }
 
+    if empty_run: 
+        # erase analysis config
+        scalar_fields = {}
+        vector_fields = {}
+        vector_mean = {}
+
     # package all in a dict
     config = {'grid_param': grid_param,
               'map_param': map_param,