Fix gps lk unlk plotting - coloring, positioning label

closes #109 (closed)

• Adjust relative position between GPS Lk/Unlk and GPS Clock Power, separate data of GPS to 2 groups for sample numbers display
• From different plots, give different colors that match with plot and different position for displaying sample numbers.

sohstationviewer/model/reftek/reftek.py

@@ -4,7 +4,7 @@ RT130 object to hold and process RefTek data
 import os
 from pathlib import Path
 from typing import Tuple, List, Union
-import traceback
+
 import numpy as np
 
 from sohstationviewer.model.reftek.from_rt2ms import (
@@ -89,15 +89,8 @@ class RT130(DataTypeModel):
                     path2file = Path(path).joinpath(file_name)
                     if not validate_file(path2file, file_name):
                         continue
-                    try:
-                        if not self.read_reftek_130(path2file):
-                            read_text(path2file, self.log_data['TEXT'])
-                    except Exception:
-                        fmt = traceback.format_exc()
-                        self.track_info(f"Skip file {path2file} can't be read "
-                                        f"due to error: {str(fmt)}",
-                                        LogType.WARNING)
-
+                    if not self.read_reftek_130(path2file):
+                        read_text(path2file, file_name, self.log_data['TEXT'])
                     count += 1
                     if count % 50 == 0:
                         self.track_info(
@@ -140,13 +133,7 @@ class RT130(DataTypeModel):
 
         :param path2file: absolute path to file
         """
-        try:
-            rt130 = core.Reftek130.from_file(path2file)
-        except Exception:
-            fmt = traceback.format_exc()
-            self.track_info(f"Skip file {path2file} can't be read "
-                            f"due to error: {str(fmt)}", LogType.WARNING)
-            return
+        rt130 = core.Reftek130.from_file(path2file)
         unique, counts = np.unique(rt130._data["packet_type"],
                                    return_counts=True)
         nbr_packet_type = dict(zip(unique, counts))