resolving the encoding issue

make_predictions.py

@@ -1,5 +1,5 @@
 import numpy as np
-from read_data import prepare_all_leads, visualize_sig
+from read_data import prepare_all_leads
 from postprocessing import make_predictions_indi, labels_map
 from scipy import stats as st
 import warnings

read_data.py

@@ -2,21 +2,16 @@ import numpy as np
 from scipy.signal import resample
 from baseline_wander_removal import bw_remover
 import pywt
-import matplotlib.pyplot as plt
+# import matplotlib.pyplot as plt
+import codecs
 
 def normalize(sig):
     return 2*((sig-np.min(sig))/(np.max(sig)-np.min(sig)))
 
-def visualize_sig(sig):
-    fig, ax = plt.subplots(3, 1, figsize=(10, 10))
-    ax[0].plot(sig[0][:500])
-    ax[1].plot(sig[1][:500])
-    ax[2].plot(sig[2][:500])
-    plt.show()
-
 def prepare_all_leads(path):
     if path.endswith(".txt"):
-        sig = np.loadtxt(path, delimiter=',', unpack=True, encoding=None)
+        filecp = codecs.open(path, "r", encoding="base64")
+        sig = np.loadtxt(filecp, delimiter=',', unpack=True, encoding=None)
     elif path.endswith(".npy"):
         sig = np.load(path, allow_pickle=True)
         x = pywt.wavedec(sig[0], 'db6', level=2)[0]