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docs/tutorials/tremor_analysis.ipynb

@@ -218,11 +218,12 @@
     "from pathlib import Path\n",
     "from paradigma.util import load_tsdf_dataframe\n",
     "\n",
+    "# Set the path to where the prepared data is saved (in TSDF format) and load the data\n",
     "path_to_data =  Path('../../tests/data')\n",
     "path_to_prepared_data = path_to_data / '1.prepared_data' / 'imu'\n",
-    "df_data, metadata_time, metadata_values = load_tsdf_dataframe(path_to_prepared_data, prefix='IMU') # load the data (saved in TSDF format)\n",
+    "df_data, metadata_time, metadata_values = load_tsdf_dataframe(path_to_prepared_data, prefix='IMU') \n",
     "\n",
-    "df_data # print the dataframe"
+    "df_data"
    ]
   },
   {
@@ -961,6 +962,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Besides the modal tremor power the following tremor power aggregates are derived: ['median', '90p'].\n",
       "{'aggregated_tremor_measures': {'90p_tremor_power': 1.796145868028196,\n",
       "                                'median_tremor_power': 0.5451560244011688,\n",
       "                                'modal_tremor_power': 0.52,\n",
@@ -975,6 +977,8 @@
     "from paradigma.tremor.tremor_analysis import aggregate_tremor\n",
     "\n",
     "config = TremorAggregationConfig()\n",
+    "print(f'Besides the modal tremor power the following tremor power aggregates are derived: {config.aggregates_tremor_power}.')\n",
+    "\n",
     "d_tremor_aggregates = aggregate_tremor(df_predictions, config)\n",
     "\n",
     "pprint.pprint(d_tremor_aggregates)"