Nearly there

src/hrvmeg/data.py

@@ -8,6 +8,7 @@ import matplotlib.pyplot as plt
 import scipy.signal as signal
 import pandas as pd
 
+
 class MNEProcessor:
     def __init__(self, scan_path, output_dir, csv_output_path):
         self.scan_path = scan_path
@@ -35,7 +36,7 @@ class MNEProcessor:
 
         sfreq = raw.info["sfreq"]
 
-        #Unused so ignoring
+        # Unused so ignoring
         # mag_picks = mne.pick_types(raw.info, meg=True, eeg=False, misc=False)
         # eeg_picks = mne.pick_types(raw.info, meg=False, eeg=True, misc=False)
         misc_picks = mne.pick_types(raw.info, meg=False, eeg=False, misc=True)
@@ -101,6 +102,7 @@ class MNEProcessor:
             header="Time, IC1, IC2, IC3, IC4, IC5, IC6, IC7, IC8, IC9, IC10, IC11, IC12, IC13, IC14, IC15, IC16, IC17, IC18, IC19, IC20",
         )
 
+
 class GetRRComponent:
     def __init__(self, output_sub_dir, subject_id, subject_path, ICA_value):
         """
@@ -244,6 +246,7 @@ class GetRRComponent:
 
         df.to_csv(stats_component, index=False)
 
+
 class GetRRIntervals:
     def __init__(self, subject_id):
         self.subject_id = subject_id
@@ -494,4 +497,4 @@ class GetRRIntervals:
         df = df.set_index("Signal")
         # df = df.dropna()
 
-        df.to_csv(stats_ECG)
\ No newline at end of file
+        df.to_csv(stats_ECG)

src/hrvmeg/evaluate.py

-#TODO add code here...
+# TODO add code here...
 # from typing import Dict, List
 
 # import numpy as np

src/hrvmeg/predict.py

@@ -4,7 +4,6 @@ from tensorflow import keras
 import pandas as pd
 
 
-
 class label_ICA_components:
     """
     Date 11/11/2021