他俩都是在60频率但是不清楚每个频率的振幅分布在哪。
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import torch
import numpy as np
df = pd.read_csv('train.csv')
df=df.drop(['ID'],axis=1)
nmp=df.to_numpy()
feature=nmp[:,:-1]
label=nmp[:,-1]#（210，240）
feature=np.fft.fft(feature)
feature=np.abs(feature)/240*2
w1=np.zeros(240)
w2=np.zeros(240)
for i in range(210):
index=np.where(feature[i,:]==np.max(feature[i,:]))
if label[i]==0:
w1[index]=w1[index]+1
if label[i]==1:
w2[index]=w2[index]+1
ax1 = plt.subplot(2,1,1)
ax2 = plt.subplot(2,1,2)
plt.sca(ax1)
plt.scatter(range(240),w1)
plt.sca(ax2)
plt.scatter(range(240),w2)
plt.show()
标签：index,plt,最大值,feature,索引,240,np,import,numpy From： https://www.cnblogs.com/hahaah/p/16941325.html