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)