plot_flight_borders: add flags for flexibility. tm_wheel_parser.py: plot data distribution

bin/tm_brd_parser.py

@@ -15,7 +15,7 @@ path_itog_brd_data = '../data/brd_data/'
 class PathFileNotFound(Exception):
     pass
 
-
+# recursive search files by pattern in specified directory
 def find_required_files(root_dir, pattern):
     result = []
     for dirpath, _, filenames in os.walk(root_dir):
@@ -30,7 +30,7 @@ def find_required_files(root_dir, pattern):
 
     return sorted(result)
 
-
+# read all finded files into pandas dataFrame
 def read_files_into_df(fname_list, column_list, dtype_columns={}):
     data_itog = pd.DataFrame()
     epoch_start = pd.Timestamp('2000-01-01')
@@ -89,7 +89,7 @@ if __name__ == "__main__":
         column_list = ['TIME', 'PER_1Hz', 'ST_HV']
         column_list_itog = ['TIME', 'timestamp', 'PER_1Hz', 'ST_HV']
 
-        collect_tm_brd_files(root_dir_tm_data, column_list, column_list_itog)
+        # collect_tm_brd_files(root_dir_tm_data, column_list, column_list_itog)
 
         ## plot 'evolution' 1 Hz from tm brd data
         print('plot evolution 1 Hz from tm brd data')
@@ -97,5 +97,7 @@ if __name__ == "__main__":
         fname = path_itog_brd_data + 'mvn_tm_brd01.csv'
         df = pd.read_csv(fname, sep=';', parse_dates=['timestamp'], date_format="%d.%m.%Y %H:%M:%S.%f")
 
+        # print(df)
         plt.plot(df['timestamp'], df['PER_1Hz'], '.')
+        plt.grid()
         plt.show()