Displaying the Frequency Spectrum Using Pyaudio

# Recording Plot Section
import pyaudio
import numpy as np
import matplotlib.pyplot asplt
from scipy import signal
import wave

# %matplotlib inline

input_device=0
output_device=1

def recording (CHANNELS, RATE, CHUNK, RECORD_SECONDS, FORMAT, p):
    print("Recording")
    stream=p.open(format=FORMAT,
                    channels = CHANNELS,
                    rate = RATE,
                    input = True,
                    input_device_index = input_device,
                    output_device_index=output_device,
                    frames_per_buffer=CHUNK)

    all = [ ]
    for i in range (0, int (RATE/CHUNK* RECORD_SECONDS):
        data=stream.read(CHUNK)
        all.append(data)
    stream.close()
    p.terminate()
    data=b'.join(all)
    print ("Finish")
    return data

if__name__=='__main__':
    CHANNELS = 1
    RATE=44100
    CHUNK = 2**11
    RECORD_SECONDS = 3
    FORMAT=pyaudio.paInt16
    p=pyaudio.PyAudio()
    data=recording (CHANNELS, RATE, CHUNK, RECORD_SECONDS, FORMAT, p)

    x = np.frombuffer(data,dtype="int16")/10000

    xs=(np.ft.ft(np.frombuffer(data,dtype="int16"))))[:int(len(x)/2)]

    # take an absolute value of the amplitude of
    xr = np.abs(xs)

    # peak detection
    maxid=signal.argrelmax(xr,order=100)#large peaks
    minid=signal.argrelmin(xr,order=100)#small peaks

    # graph plot
    plt.figure(figsize=(13,3))
    plt.axis

    plt.plot(maxid[0], xr[maxid[0]], 'rx', label='peak')
    plt.plot(minid[0], xr[minid[0]], 'bx', label='min peak')
    plt.plot(xr, label="beforeBPF")
    plt.xlim(0,7000)#Hz
    plt.legend()
    plt.show()