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from scipy.io import wavfile
from scipy.io.wavfile import write
import numpy as np

    wav_fname = 'PingEcho.wav' #name of the original file
    echoLength = 0.2 #fixed length of the echo-sound [sec]
    fd =800 #frequency
    samplerate, data = wavfile.read(wav_fname)
    if samplerate!=44100:
        return
    td=distance*3600/speedOfSound  #calculates the timedelay of the echo-sound [sec]
    t = np.linspace(td, td+ echoLength, num=int(samplerate * echoLength)) #creates an array in the desired length, initially with the timesteps of the echo-sound
    newSamples =t.size
    amplitude = np.iinfo(np.int16).max
    echodata = amplitude * np.sin(2. * np.pi * fd * t) #creation of the frequency samples
    echoIndices=np.linspace(int(td*samplerate),int((td+echoLength)*samplerate-1),num=newSamples,dtype='int32')#array with the indices to be updated of the prerecorded wav 
    np.put(data, echoIndices, echoData) #udpdating the original data with echoData
    write("PingEchoNew.wav", samplerate, data.astype(np.int16))# saving the newly created wav file