这是根据三轴（x，y和z）的大小计算的谱图的输出
(array([[ 1.52494154e+11, 1.52811638e+11, 1.52565040e+11, ...,
1.47778892e+11, 1.46781213e+11, 1.46678951e+11],
[ 7.69589176e+10, 7.73638333e+10, 7.76935891e+10, ...,
7.48498747e+10, 7.40088248e+10, 7.40343108e+10],
[ 6.32683585e+04, 1.58170271e+06, 6.11287648e+06, ...,
5.06690834e+05, 3.31360693e+05, 7.04757400e+05],
...,
[ 7.79589127e+05, 8.09843763e+04, 2.52907491e+05, ...,
2.48520301e+05, 2.11734697e+05, 2.50917758e+05],
[ 9.41199946e+05, 4.98371406e+05, 1.29328139e+06, ...,
2.56729806e+05, 3.45253951e+05, 3.51932417e+05],
[ 4.36846676e+05, 1.24123764e+06, 9.20694394e+05, ...,
8.35807658e+04, 8.36986905e+05, 3.57807267e+04]]), array([ 0. , 3.90625, 7.8125 , 11.71875, 15.625 ,
19.53125, 23.4375 , 27.34375, 31.25 , 35.15625,
39.0625 , 42.96875, 46.875 , 50.78125, 54.6875 ,
58.59375, 62.5 , 66.40625, 70.3125 , 74.21875,
78.125 , 82.03125, 85.9375 , 89.84375, 93.75 ,
97.65625, 101.5625 , 105.46875, 109.375 , 113.28125,
117.1875 , 121.09375, 125. , 128.90625, 132.8125 ,
136.71875, 140.625 , 144.53125, 148.4375 , 152.34375,
156.25 , 160.15625, 164.0625 , 167.96875, 171.875 ,
175.78125, 179.6875 , 183.59375, 187.5 , 191.40625,
195.3125 , 199.21875, 203.125 , 207.03125, 210.9375 ,
214.84375, 218.75 , 222.65625, 226.5625 , 230.46875,
234.375 , 238.28125, 242.1875 , 246.09375, 250. ,
253.90625, 257.8125 , 261.71875, 265.625 , 269.53125,
273.4375 , 277.34375, 281.25 , 285.15625, 289.0625 ,
292.96875, 296.875 , 300.78125, 304.6875 , 308.59375,
312.5 , 316.40625, 320.3125 , 324.21875, 328.125 ,
332.03125, 335.9375 , 339.84375, 343.75 , 347.65625,
351.5625 , 355.46875, 359.375 , 363.28125, 367.1875 ,
371.09375, 375. , 378.90625, 382.8125 , 386.71875,
390.625 , 394.53125, 398.4375 , 402.34375, 406.25 ,
410.15625, 414.0625 , 417.96875, 421.875 , 425.78125,
429.6875 , 433.59375, 437.5 , 441.40625, 445.3125 ,
449.21875, 453.125 , 457.03125, 460.9375 , 464.84375,
468.75 , 472.65625, 476.5625 , 480.46875, 484.375 ,
488.28125, 492.1875 , 496.09375, 500. ]), array([ 1.28000000e-01, 2.56000000e-01, 3.84000000e-01, ...,
1.41529600e+03, 1.41542400e+03, 1.41555200e+03]), <matplotlib.image.AxesImage object at 0x000002161A78F898>)
以上数据也存储在文本文件中，但由于最后一行，我无法使用它 ）
这是我试过的
dataset = np.loadtxt("trainingdatasetMAG.txt", delimiter=",")
X = dataset[:,0:6]
Y = dataset[:,6]
fake_size = 1415684
time = np.arange(fake_size)/1000 # 1kHz
base_freq = 2 * np.pi * 100
magnitude = dataset[:,5]
plt.figure()
plt.title('xyz_magnitude')
plt.axes('off')
ls=(plt.specgram(magnitude, Fs=1000))