经验模态分解EMD(Python)

EMD(Python)使用手册

(一)下载EMD模块

下载python模块pyhht,可实现经验模态分解功能

(二)序列分解

import numpy as np
import pandas as pd
from sklearn import datasets
import matplotlib.pyplot as plt
from pyhht.emd import EMD
from pyhht.visualization import plot_imfs

#载入时间序列数据
data = pd.read_csv('D:/passengervolume.csv',header=None)
#EMD经验模态分解
decomposer = EMD(data[0])               
imfs = decomposer.decompose()
#绘制分解图
plot_imfs(data[0],imfs,data.index)
#保存IMFs
arr = np.vstack((imfs,data[0]))
dataframe = pd.DataFrame(arr.T)
dataframe.to_csv('D:/imf.csv',index=None,columns=None)

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转载自blog.csdn.net/qinlan1994/article/details/82288546
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