changed matplotlib backend to make it run on cluster

track_analyzer/scripts/analyze_maps.py

@@ -67,7 +67,7 @@ def map_analysis(data_dir, data=None, image=None, refresh=False, parallelize=Fal
         if k not in plot_config.keys():
             plot_config[k] = plot_config_default[k]
     if plot_config['save_as_stack']:
-        mpl.use('TkAgg')  # need to switch backend to use matplotlib tostring_rgb()
+        mpl.use('agg')  # need to switch backend to use matplotlib tostring_rgb()
 
     # Get map_config
     map_config_default = tpr.make_map_config(data_dir=data_dir, export_config=False)

track_analyzer/scripts/analyze_tracks.py

@@ -67,7 +67,7 @@ def traj_analysis(data_dir, data=None, image=None, refresh=False, parallelize=Fa
         if k not in plot_config.keys():
             plot_config[k] = plot_config_default[k]
     if plot_config['save_as_stack']:
-        mpl.use('TkAgg')  # need to switch backend to use matplotlib tostring_rgb()
+        mpl.use('agg')  # need to switch backend to use matplotlib tostring_rgb()
     
     # Get traj_config
     traj_config_default = tpr.make_traj_config(data_dir=data_dir, export_config=False)
@@ -101,8 +101,6 @@ def traj_analysis(data_dir, data=None, image=None, refresh=False, parallelize=Fa
         filters['filters_list'][i] = filter_
 
     subset_analysis = filters['subset']  # how to deal with subsets
-    print(subset_analysis)
-    print(filters)
     filters_ = filters['filters_list']
     df = tpr.select_sub_data(df, filters=filters_)
     if subset_analysis == 'together':