1. add README for windows. 2. rewrite some python scripts and bat-files according to windows requirements. 3. Create tm_brd_parser.py and tm_wheel_parser.py for demonstration how to work with data in python

bin/tm_brd_parser.py

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+import pandas as pd
+import os
+import re
+from pathlib import Path
+import matplotlib.pyplot as plt
+from datetime import datetime, timedelta
+import sys
+
+tstamp_s = '%d.%m.%Y %H:%M:%S.%f'
+ox_dtime_format = '%d.%m.%Y %H:%M'
+
+path_itog_brd_data = '../data/brd_data/'
+
+
+class PathFileNotFound(Exception):
+    pass
+
+
+def find_required_files(root_dir, pattern):
+    result = []
+    for dirpath, _, filenames in os.walk(root_dir):
+        for filename in filenames:
+            match = re.match(pattern, filename)
+            if match:
+                result.append(dirpath + '/' + filename)
+
+    if len(result) == 0:
+        raise PathFileNotFound(
+            f'error: check that the path is correct ({root_dir}) or files pattern is correct ({pattern})')
+
+    return sorted(result)
+
+
+def read_files_into_df(fname_list, column_list, dtype_columns={}):
+    data_itog = pd.DataFrame()
+    epoch_start = pd.Timestamp('2000-01-01')
+
+    for fname in fname_list:
+        data = pd.read_csv(fname, sep=r'\s+', dtype=str)
+        data = data.dropna()
+        data = data[column_list]
+
+        if 'TIME' in column_list:
+            # convert TIME value to human-readable timestamp (sinse epoch 01.01.2000)
+            time = data['TIME'].astype(float)
+            tstamp = epoch_start + pd.to_timedelta(time, unit='s')
+            timestamp = tstamp.dt.strftime(tstamp_s)
+            data['timestamp'] = timestamp
+
+            # clear dataframe rows where time value == 0
+            data['time'] = time
+            data_clear = data.query('time != 0.0')
+
+        data_itog = pd.concat([data_itog, data_clear], ignore_index=True)
+
+    return data_itog
+
+
+def collect_tm_brd_files(root_dir_tm_data, column_list, column_list_itog):
+    patterns_tm = [r'mvn_tm_brd01_(.*)', r'mvn_tm_brd02_(.*)', r'mvn_tm_brd03_(.*)',
+                   r'mvn_tm_brd04_(.*)']
+
+    for pattern in patterns_tm:
+        fname = path_itog_brd_data + pattern[:12] + '.csv'
+        try:
+            found_files = find_required_files(root_dir_tm_data, pattern)
+            data = read_files_into_df(found_files, column_list, dtype_columns={11: float})
+        except KeyError as e:
+            print(
+                f'error in collect_tm_brd_files: the specified column name was not found in the data file (path: {root_dir_tm_data}) ({e})')
+            break
+        except Exception as e:
+            print(f'error in collect_tm_brd_files: {e}')
+            break
+
+        data.to_csv(fname, index=False, sep=';', columns=column_list_itog, encoding='utf-8-sig')
+        print('data saved: ' + fname)
+
+
+if __name__ == "__main__":
+
+    if len(sys.argv) != 2:
+        print("Usage: python tm_brd_parser.py /path/to/tm_brd_data/")
+    else:
+        root_dir_tm_data = sys.argv[1]
+
+        print('collect raw brd tm data into one file for each brd')
+
+        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)
+
+        ## plot 'evolution' 1 Hz from tm brd data
+        print('plot evolution 1 Hz from tm brd data')
+
+        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")
+
+        plt.plot(df['timestamp'], df['PER_1Hz'], '.')
+        plt.show()