如何使用 FFT 值创建频谱图？ Python

如何解决如何使用 FFT 值创建频谱图？ Python

此处的“listofChunks”是从 BASE64 (0-255) 解码的 ByteArray 列表。 例如 [[23,55,125,255,234,12,5,...] ]

我如何能够使用我生成的 FFT 值进行频谱分析并显示频谱图。

from scipy.fft import fft,ifft,fftfreq
import numpy as np
import matplotlib.pyplot as plot

@app.route('/api',methods=['GET','POST'])
def test():
listofChunks = []

    try:
        data = request.get_json()
        audioChunk = data['audioChunk']
        listofChunks.append(audioChunk['data'])

    except Exception as e:
        print("An error has occured: ",e)
        return "Error"

    for i in listofChunks:

        # Smaller memory consumption & faster & optimized functions for FFT
        npArray = np.array(i)

        #
        fftArray = fft(npArray)

        # The ifft takes frequency domain input data and converts to time domain output data
        ifftArray = (fftArray)

        #Plotting
        N = 600
        T = 1.0 / 800.0
        npArray = np.linspace(0.0,N*T,N,endpoint=False)
        fftArray = np.sin(50.0 * 2.0*np.pi*npArray) + 0.5*np.sin(80.0 * 2.0*np.pi*npArray)
        yf = fft(fftArray)

        xf = fftfreq(N,T)[:N//2]

        plt.plot(xf,2.0/N * np.abs(yf[0:N//2]))
        plt.grid()
        plt.show()
    # 3584 items per chunk (3MB)
    print(ifftArray)
    return "Success"


  [1]: https://i.stack.imgur.com/Z5YEl.png