Convert pandas dataframe to numpy array and make a playable audiofile

numpy_to_song.py

frequencies = pixels_df['notes'].to_numpy()

song = np.array([]) 
sr = 22050 # sample rate
T = 0.1    # 0.1 second duration
t = np.linspace(0, T, int(T*sr), endpoint=False) # time variable
#Make a song with numpy array :]
#nPixels = int(len(frequencies))#All pixels in image
nPixels = 60
for i in range(nPixels):  
    val = frequencies[i]
    note  = 0.5*np.sin(2*np.pi*val*t) #Represent each note as a sign wave
    song  = np.concatenate([song, note]) #Add notes into song array to make song
    
ipd.Audio(song, rate=sr) # load a NumPy array as audio