TypeError：第一个参数必须是真实序列 2 signal.spectrogram

Question

我正在尝试从电子读数中获取信号并将其分解为频谱图，但我不断收到一个奇怪的错误。代码如下：

f, t, Sxx = signal.spectrogram(i_data.values, 130)
plt.pcolormesh(t, f, Sxx)
plt.ylabel('Frequency [Hz]')
plt.xlabel('Time [sec]')
plt.show()

这是错误：

convert_to_spectrogram(i_data.iloc[1000,:10020].dropna().values)
Traceback (most recent call last):

  File "<ipython-input-140-e5951b2d2d97>", line 1, in <module>
    convert_to_spectrogram(i_data.iloc[1000,:10020].dropna().values)

  File "<ipython-input-137-5d63a96c8889>", line 2, in convert_to_spectrogram
    f, t, Sxx = signal.spectrogram(wf, 130)

  File "//anaconda3/lib/python3.7/site-packages/scipy/signal/spectral.py", line 750, in spectrogram
    mode='psd')

  File "//anaconda3/lib/python3.7/site-packages/scipy/signal/spectral.py", line 1836, in _spectral_helper
    result = _fft_helper(x, win, detrend_func, nperseg, noverlap, nfft, sides)

  File "//anaconda3/lib/python3.7/site-packages/scipy/signal/spectral.py", line 1921, in _fft_helper
    result = func(result, n=nfft)

  File "//anaconda3/lib/python3.7/site-packages/mkl_fft/_numpy_fft.py", line 335, in rfft
    output = mkl_fft.rfft_numpy(x, n=n, axis=axis)

  File "mkl_fft/_pydfti.pyx", line 609, in mkl_fft._pydfti.rfft_numpy

  File "mkl_fft/_pydfti.pyx", line 502, in mkl_fft._pydfti._rc_fft1d_impl

TypeError: 1st argument must be a real sequence 2

我的读数包含 130 个观察值的完整周期，并将其存储为 pandas df 的单个值。我特别使用的 wave 可以在 here 找到。有人知道这个错误是什么意思吗？

（小免责声明，本人对信号处理了解不多，如有幼稚问题请见谅）

Answer 1

Python 3.6.9，scipy 1.3.3

下载您的file 并使用pandas.read_csv 阅读它，我可以生成以下频谱图。

import matplotlib.pyplot as plt
import pandas as pd
from scipy.signal import spectrogram
i_data = pd.read_csv('wave.csv')
f, t, Sxx = spectrogram(i_data.values[:, 1], 130)
plt.pcolormesh(t, f, Sxx)
plt.ylabel('Frequency [Hz]')
plt.xlabel('Time [sec]')
plt.show()