Extracting the baseband signal and loading it into python

load_wav_file.py

import numpy as np
import os
from scipy.io import wavfile
import matplotlib.pyplot as plt 

file_path = "/Users/Nil/devspace/Github_repos/alltheFSKs/iPhone_MFSK_Gpay_samples/iPhone_stereo_r_48khz_raw_c4755658_frequency_translated_lowpass_filtered.wav"

fs, data = wavfile.read(file_path)

# print(fs)

if(data.dtype == np.int16):
   data = data.astype(np.float)/2**16

number_of_complex_samples = len(data)
print(data.shape)
print(len(data))

re, im = np.hsplit(data, 2)

re = np.multiply(re.reshape(data.shape[0],), 1e+02)
im = np.multiply(im.reshape(data.shape[0],), 1e+02)

plt.figure(figsize=(20,10))
plt.plot((re))
plt.plot(im)
plt.ylabel("Amplitude")
plt.xlabel("Time (samples)")
plt.title("Samples")
plt.show()