Increased number of extracted fields (fixed lack of altitude or speed data in some conversion)

1. Increased number of fields extracted from FIT files to include power, temperature, enhanced_speed, and enhanced_altiture (some Garmin devices do not include the default speed and altitude fields, only recording to the enhanced versions of these fields)

2. In conversion of FIT files to GPX with data only in the enhanced speed/altitude fields, augment the default column with data from enhanced column

Author: dodo-saba

src/fit2gpx.py

@@ -21,18 +21,21 @@ def __init__(self, status_msg: bool = False):
             such as number of files converted.
         """
         self.status_msg = status_msg
-        # The names of the columns we will use in our points and laps DataFrame
+        # The names of the columns will be used in our points and laps DataFrame
         # (use the same name as the field names in FIT file to facilate parsing)
         self._colnames_points = [
             'latitude',
             'longitude',
             'lap',
-            'altitude',
             'timestamp',
+            'altitude',
+            'enhanced_altitude',
+            'temperature',
             'heart_rate',
             'cadence',
             'speed',
-            'power'
+            'enhanced_speed',
+            'power',
         ]
 
         self._colnames_laps = [
@@ -203,7 +206,13 @@ def fit_to_gpx(self, f_in, f_out):
         # Step 1: Convert FIT to pd.DataFrame
         df_laps, df_points = self.fit_to_dataframes(f_in)
 
-        # Step 2: Convert pd.DataFrame to GPX
+        # Step 2: Fill gaps in data if FIT file recorded data only in enhanced altitude/speed columns:
+        enhanced_fields = ['altitude', 'speed']
+        for field in enhanced_fields:
+            if df_points[field].count() == 0 and df_points[f'enhanced_{field}'].count() > 0:
+                df_points[field].fillna(df_points[f'enhanced_{field}'], inplace=True)
+
+        # Step 3: Convert pd.DataFrame to GPX
         gpx = self.dataframe_to_gpx(
             df_points=df_points,
             col_lat='latitude',